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November 21, 2023 15:39
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COAWST_explore.ipynb
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{ | |
"cells": [ | |
{ | |
"cell_type": "markdown", | |
"id": "3a3edc9f-3c66-4e03-8c75-b147f15b2e50", | |
"metadata": {}, | |
"source": [ | |
"# Explore the COAWST US East Coast and Gulf of Mexico Forecast Archive Dataset\n", | |
"This is a cloud-optimized version of the NetCDF files accessed from the USGS ScienceBase item [Collection of COAWST model forecast for the US East Coast and Gulf of Mexico](https://www.sciencebase.gov/catalog/item/610acd4fd34ef8d7056893da). The original daily forecast files were converted into weekly NetCDF files with 168 points in the time dimension to facilitate time series access. " | |
] | |
}, | |
{ | |
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"execution_count": 1, | |
"id": "547b851f-3dd9-4b9f-988b-54c743a43bbe", | |
"metadata": { | |
"tags": [] | |
}, | |
"outputs": [ | |
{ | |
"data": { | |
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"(function(root) {\n", | |
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" var reloading = false;\n", | |
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" }\n", | |
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" if (callback != null)\n", | |
" callback();\n", | |
" });\n", | |
" } finally {\n", | |
" delete root._bokeh_onload_callbacks;\n", | |
" }\n", | |
" console.debug(\"Bokeh: all callbacks have finished\");\n", | |
" }\n", | |
"\n", | |
" function load_libs(css_urls, js_urls, js_modules, js_exports, callback) {\n", | |
" if (css_urls == null) css_urls = [];\n", | |
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" if (root._bokeh_is_loading === 0) {\n", | |
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" window.requirejs.config({'packages': {}, 'paths': {'jspanel': 'https://cdn.jsdelivr.net/npm/[email protected]/dist/jspanel', 'jspanel-modal': 'https://cdn.jsdelivr.net/npm/[email protected]/dist/extensions/modal/jspanel.modal', 'jspanel-tooltip': 'https://cdn.jsdelivr.net/npm/[email protected]/dist/extensions/tooltip/jspanel.tooltip', 'jspanel-hint': 'https://cdn.jsdelivr.net/npm/[email protected]/dist/extensions/hint/jspanel.hint', 'jspanel-layout': 'https://cdn.jsdelivr.net/npm/[email protected]/dist/extensions/layout/jspanel.layout', 'jspanel-contextmenu': 'https://cdn.jsdelivr.net/npm/[email protected]/dist/extensions/contextmenu/jspanel.contextmenu', 'jspanel-dock': 'https://cdn.jsdelivr.net/npm/[email protected]/dist/extensions/dock/jspanel.dock', 'gridstack': 'https://cdn.jsdelivr.net/npm/[email protected]/dist/gridstack-all', 'notyf': 'https://cdn.jsdelivr.net/npm/notyf@3/notyf.min'}, 'shim': {'jspanel': {'exports': 'jsPanel'}, 'gridstack': {'exports': 'GridStack'}}});\n", | |
" require([\"jspanel\"], function(jsPanel) {\n", | |
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"\ton_load()\n", | |
" })\n", | |
" require([\"jspanel-modal\"], function() {\n", | |
"\ton_load()\n", | |
" })\n", | |
" require([\"jspanel-tooltip\"], function() {\n", | |
"\ton_load()\n", | |
" })\n", | |
" require([\"jspanel-hint\"], function() {\n", | |
"\ton_load()\n", | |
" })\n", | |
" require([\"jspanel-layout\"], function() {\n", | |
"\ton_load()\n", | |
" })\n", | |
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"\ton_load()\n", | |
" })\n", | |
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"\ton_load()\n", | |
" })\n", | |
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"\twindow.GridStack = GridStack\n", | |
"\ton_load()\n", | |
" })\n", | |
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"\ton_load()\n", | |
" })\n", | |
" root._bokeh_is_loading = css_urls.length + 9;\n", | |
" } else {\n", | |
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" }\n", | |
"\n", | |
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" element.type = \"text/css\";\n", | |
" element.href = url;\n", | |
" console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n", | |
" document.body.appendChild(element);\n", | |
" } if (((window['jsPanel'] !== undefined) && (!(window['jsPanel'] instanceof HTMLElement))) || window.requirejs) {\n", | |
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"\texisting_scripts.push(script.src)\n", | |
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" console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n", | |
" document.head.appendChild(element);\n", | |
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" element.src = url;\n", | |
" element.type = \"module\";\n", | |
" console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n", | |
" document.head.appendChild(element);\n", | |
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"\t on_load();\n", | |
"\t}\n", | |
"\tcontinue;\n", | |
" }\n", | |
" var element = document.createElement('script');\n", | |
" element.onerror = on_error;\n", | |
" element.async = false;\n", | |
" element.type = \"module\";\n", | |
" console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n", | |
" element.textContent = `\n", | |
" import ${name} from \"${url}\"\n", | |
" window.${name} = ${name}\n", | |
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" `\n", | |
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" }\n", | |
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" }\n", | |
" };\n", | |
"\n", | |
" function inject_raw_css(css) {\n", | |
" const element = document.createElement(\"style\");\n", | |
" element.appendChild(document.createTextNode(css));\n", | |
" document.body.appendChild(element);\n", | |
" }\n", | |
"\n", | |
" var js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-3.3.0.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.3.0.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.3.0.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.3.0.min.js\", \"https://cdn.holoviz.org/panel/1.3.1/dist/panel.min.js\"];\n", | |
" var js_modules = [];\n", | |
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" Bokeh.set_log_level(\"info\");\n", | |
" },\n", | |
"function(Bokeh) {} // ensure no trailing comma for IE\n", | |
" ];\n", | |
"\n", | |
" function run_inline_js() {\n", | |
" if ((root.Bokeh !== undefined) || (force === true)) {\n", | |
" for (var i = 0; i < inline_js.length; i++) {\n", | |
" inline_js[i].call(root, root.Bokeh);\n", | |
" }\n", | |
" // Cache old bokeh versions\n", | |
" if (Bokeh != undefined && !reloading) {\n", | |
"\tvar NewBokeh = root.Bokeh;\n", | |
"\tif (Bokeh.versions === undefined) {\n", | |
"\t Bokeh.versions = new Map();\n", | |
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"\tif (NewBokeh.version !== Bokeh.version) {\n", | |
"\t Bokeh.versions.set(NewBokeh.version, NewBokeh)\n", | |
"\t}\n", | |
"\troot.Bokeh = Bokeh;\n", | |
" }} else if (Date.now() < root._bokeh_timeout) {\n", | |
" setTimeout(run_inline_js, 100);\n", | |
" } else if (!root._bokeh_failed_load) {\n", | |
" console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n", | |
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" }\n", | |
" root._bokeh_is_initializing = false\n", | |
" }\n", | |
"\n", | |
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" // versions of Bokeh and its dependencies at the same time.\n", | |
" // In recent versions we use the root._bokeh_is_initializing flag\n", | |
" // to determine whether there is an ongoing attempt to initialize\n", | |
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" // that we do not start loading a newer (Panel>=1.0 and Bokeh>3) version\n", | |
" // before older versions are fully initialized.\n", | |
" if (root._bokeh_is_initializing && Date.now() > root._bokeh_timeout) {\n", | |
" root._bokeh_is_initializing = false;\n", | |
" root._bokeh_onload_callbacks = undefined;\n", | |
" console.log(\"Bokeh: BokehJS was loaded multiple times but one version failed to initialize.\");\n", | |
" load_or_wait();\n", | |
" } else if (root._bokeh_is_initializing || (typeof root._bokeh_is_initializing === \"undefined\" && root._bokeh_onload_callbacks !== undefined)) {\n", | |
" setTimeout(load_or_wait, 100);\n", | |
" } else {\n", | |
" Bokeh = root.Bokeh;\n", | |
" bokeh_loaded = Bokeh != null && (Bokeh.version === py_version || (Bokeh.versions !== undefined && Bokeh.versions.has(py_version)));\n", | |
" root._bokeh_is_initializing = true\n", | |
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"\tconsole.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n", | |
"\trun_inline_js();\n", | |
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" }\n", | |
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" setTimeout(load_or_wait, 100)\n", | |
"}(window));" | |
], | |
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i < links.length; i++) {\n var link = links[i]\n if (link.href != null) {\n\texisting_stylesheets.push(link.href)\n }\n }\n for (var i = 0; i < css_urls.length; i++) {\n var url = css_urls[i];\n if (existing_stylesheets.indexOf(url) !== -1) {\n\ton_load()\n\tcontinue;\n }\n const element = document.createElement(\"link\");\n element.onload = on_load;\n element.onerror = on_error;\n element.rel = \"stylesheet\";\n element.type = \"text/css\";\n element.href = url;\n console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n document.body.appendChild(element);\n } if (((window['jsPanel'] !== undefined) && (!(window['jsPanel'] instanceof HTMLElement))) || window.requirejs) {\n var urls = ['https://cdn.holoviz.org/panel/1.3.1/dist/bundled/floatpanel/[email protected]/dist/jspanel.js', 'https://cdn.holoviz.org/panel/1.3.1/dist/bundled/floatpanel/[email protected]/dist/extensions/modal/jspanel.modal.js', 'https://cdn.holoviz.org/panel/1.3.1/dist/bundled/floatpanel/[email protected]/dist/extensions/tooltip/jspanel.tooltip.js', 'https://cdn.holoviz.org/panel/1.3.1/dist/bundled/floatpanel/[email protected]/dist/extensions/hint/jspanel.hint.js', 'https://cdn.holoviz.org/panel/1.3.1/dist/bundled/floatpanel/[email protected]/dist/extensions/layout/jspanel.layout.js', 'https://cdn.holoviz.org/panel/1.3.1/dist/bundled/floatpanel/[email protected]/dist/extensions/contextmenu/jspanel.contextmenu.js', 'https://cdn.holoviz.org/panel/1.3.1/dist/bundled/floatpanel/[email protected]/dist/extensions/dock/jspanel.dock.js'];\n for (var i = 0; i < urls.length; i++) {\n skip.push(urls[i])\n }\n } if (((window['GridStack'] !== undefined) && (!(window['GridStack'] instanceof HTMLElement))) || window.requirejs) {\n var urls = ['https://cdn.holoviz.org/panel/1.3.1/dist/bundled/gridstack/[email protected]/dist/gridstack-all.js'];\n for (var i = 0; i < urls.length; i++) {\n skip.push(urls[i])\n }\n } if (((window['Notyf'] !== undefined) && (!(window['Notyf'] instanceof HTMLElement))) || window.requirejs) {\n var urls = ['https://cdn.holoviz.org/panel/1.3.1/dist/bundled/notificationarea/notyf@3/notyf.min.js'];\n for (var i = 0; i < urls.length; i++) {\n skip.push(urls[i])\n }\n } var existing_scripts = []\n var scripts = document.getElementsByTagName('script')\n for (var i = 0; i < scripts.length; i++) {\n var script = scripts[i]\n if (script.src != null) {\n\texisting_scripts.push(script.src)\n }\n }\n for (var i = 0; i < js_urls.length; i++) {\n var url = js_urls[i];\n if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n\tif (!window.requirejs) {\n\t on_load();\n\t}\n\tcontinue;\n }\n var element = document.createElement('script');\n element.onload = on_load;\n element.onerror = on_error;\n element.async = false;\n element.src = url;\n console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n document.head.appendChild(element);\n }\n for (var i = 0; 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i < inline_js.length; i++) {\n inline_js[i].call(root, root.Bokeh);\n }\n // Cache old bokeh versions\n if (Bokeh != undefined && !reloading) {\n\tvar NewBokeh = root.Bokeh;\n\tif (Bokeh.versions === undefined) {\n\t Bokeh.versions = new Map();\n\t}\n\tif (NewBokeh.version !== Bokeh.version) {\n\t Bokeh.versions.set(NewBokeh.version, NewBokeh)\n\t}\n\troot.Bokeh = Bokeh;\n }} else if (Date.now() < root._bokeh_timeout) {\n setTimeout(run_inline_js, 100);\n } else if (!root._bokeh_failed_load) {\n console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n root._bokeh_failed_load = true;\n }\n root._bokeh_is_initializing = false\n }\n\n function load_or_wait() {\n // Implement a backoff loop that tries to ensure we do not load multiple\n // versions of Bokeh and its dependencies at the same time.\n // In recent versions we use the root._bokeh_is_initializing flag\n // to determine whether there is an ongoing attempt to initialize\n // bokeh, however for backward compatibility we also try to ensure\n // that we do not start loading a newer (Panel>=1.0 and Bokeh>3) version\n // before older versions are fully initialized.\n if (root._bokeh_is_initializing && Date.now() > root._bokeh_timeout) {\n root._bokeh_is_initializing = false;\n root._bokeh_onload_callbacks = undefined;\n console.log(\"Bokeh: BokehJS was loaded multiple times but one version failed to initialize.\");\n load_or_wait();\n } else if (root._bokeh_is_initializing || (typeof root._bokeh_is_initializing === \"undefined\" && root._bokeh_onload_callbacks !== undefined)) {\n setTimeout(load_or_wait, 100);\n } else {\n Bokeh = root.Bokeh;\n bokeh_loaded = Bokeh != null && (Bokeh.version === py_version || (Bokeh.versions !== undefined && Bokeh.versions.has(py_version)));\n root._bokeh_is_initializing = true\n root._bokeh_onload_callbacks = []\n if (!reloading && (!bokeh_loaded || is_dev)) {\n\troot.Bokeh = undefined;\n }\n load_libs(css_urls, js_urls, js_modules, js_exports, function() {\n\tconsole.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n\trun_inline_js();\n });\n }\n }\n // Give older versions of the autoload script a head-start to ensure\n // they initialize before we start loading newer version.\n setTimeout(load_or_wait, 100)\n}(window));" | |
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"output_type": "display_data" | |
}, | |
{ | |
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"\n", | |
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"var HTML_MIME_TYPE = 'text/html';\n", | |
"var EXEC_MIME_TYPE = 'application/vnd.holoviews_exec.v0+json';\n", | |
"var CLASS_NAME = 'output';\n", | |
"\n", | |
"/**\n", | |
" * Render data to the DOM node\n", | |
" */\n", | |
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"function handle_update_output(event, handle) {\n", | |
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"id": "p1002" | |
} | |
}, | |
"output_type": "display_data" | |
} | |
], | |
"source": [ | |
"import os\n", | |
"import fsspec\n", | |
"import xarray as xr\n", | |
"import hvplot.xarray\n", | |
"import intake\n", | |
"import cf_xarray\n", | |
"import numpy as np\n", | |
"import panel as pn\n", | |
"from matplotlib import path\n", | |
"import xoak" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"id": "57354df2-6786-4d1d-859e-1d5099cb85b9", | |
"metadata": { | |
"tags": [] | |
}, | |
"source": [ | |
"## Open Dataset\n", | |
"\n", | |
"The details of data loading are stored in an `intake` catalog, which simplifies use. Metadata and coordinate data are loaded, but not the actual data variables, which are loaded only as needed by subsequent analysis and visualization. " | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 2, | |
"id": "067d1b7d", | |
"metadata": { | |
"tags": [] | |
}, | |
"outputs": [ | |
{ | |
"data": { | |
"text/plain": [ | |
"['COAWST-USEAST']" | |
] | |
}, | |
"execution_count": 2, | |
"metadata": {}, | |
"output_type": "execute_result" | |
} | |
], | |
"source": [ | |
"intake_catalog_url = 's3://usgs-coawst/useast-archive/coawst_intake.yml'\n", | |
"cat = intake.open_catalog(intake_catalog_url, storage_options={\"anon\": True})\n", | |
"list(cat)" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 3, | |
"id": "c6d6c625-b5d7-4a17-ae2d-d7c2e8bc3fa6", | |
"metadata": { | |
"tags": [] | |
}, | |
"outputs": [], | |
"source": [ | |
"dataset = 'COAWST-USEAST' " | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 4, | |
"id": "f5320108-9074-40b3-a5e5-e3457af690ea", | |
"metadata": { | |
"tags": [] | |
}, | |
"outputs": [ | |
{ | |
"data": { | |
"application/yaml": "COAWST-USEAST:\n args:\n consolidated: false\n storage_options:\n fo: s3://usgs-coawst/useast-archive/combined.parq\n lazy: 'true'\n remote_options:\n anon: true\n skip_instance_cache: true\n remote_protocol: s3\n target_options:\n anon: true\n skip_instance_cache: true\n urlpath: reference://\n description: USGS COAWST US East Coast and Gulf Coast Forecast Archive\n driver: intake_xarray.xzarr.ZarrSource\n metadata:\n catalog_dir: s3://usgs-coawst/useast-archive\n", | |
"text/plain": [ | |
"COAWST-USEAST:\n", | |
" args:\n", | |
" consolidated: false\n", | |
" storage_options:\n", | |
" fo: s3://usgs-coawst/useast-archive/combined.parq\n", | |
" lazy: 'true'\n", | |
" remote_options:\n", | |
" anon: true\n", | |
" skip_instance_cache: true\n", | |
" remote_protocol: s3\n", | |
" target_options:\n", | |
" anon: true\n", | |
" skip_instance_cache: true\n", | |
" urlpath: reference://\n", | |
" description: USGS COAWST US East Coast and Gulf Coast Forecast Archive\n", | |
" driver: intake_xarray.xzarr.ZarrSource\n", | |
" metadata:\n", | |
" catalog_dir: s3://usgs-coawst/useast-archive\n" | |
] | |
}, | |
"metadata": { | |
"application/json": { | |
"root": "COAWST-USEAST" | |
} | |
}, | |
"output_type": "display_data" | |
} | |
], | |
"source": [ | |
"cat[dataset]" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"id": "59028b58-1a1a-4312-b8e1-ce11200eefef", | |
"metadata": {}, | |
"source": [ | |
"This is a big dataset, so it takes up to 30s to open the dataset (which involves reading all the metadata and index coordinate variable data). Here we load the data into xarray using `.to_dask()` so that if we have a Dask cluster, we can speed up data processing by loading and processing chunks of data in parallel. " | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 5, | |
"id": "d3b2ce8a-6499-4413-861c-65d48f7af108", | |
"metadata": { | |
"tags": [] | |
}, | |
"outputs": [ | |
{ | |
"name": "stdout", | |
"output_type": "stream", | |
"text": [ | |
"CPU times: user 12 s, sys: 987 ms, total: 13 s\n", | |
"Wall time: 14.1 s\n" | |
] | |
} | |
], | |
"source": [ | |
"%%time\n", | |
"ds = cat[dataset].to_dask()" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"id": "6cfe57c8-3892-4a02-9683-a7814e266b5a", | |
"metadata": {}, | |
"source": [ | |
"Let's look at that metadata. We can explore the different attributes and variables by clicking on the variables and icons below. " | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 6, | |
"id": "608b1398-bf35-40c8-bd9f-ff21238ae591", | |
"metadata": { | |
"tags": [] | |
}, | |
"outputs": [ | |
{ | |
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"</style><pre class='xr-text-repr-fallback'><xarray.Dataset>\n", | |
"Dimensions: (ocean_time: 112392, s_w: 17, eta_rho: 336,\n", | |
" xi_rho: 896, tracer: 8, s_rho: 16, NST: 6,\n", | |
" boundary: 4, Nbed: 1, eta_u: 336, xi_u: 895,\n", | |
" eta_v: 335, xi_v: 896, eta_psi: 335, xi_psi: 895)\n", | |
"Coordinates:\n", | |
" lat_psi (eta_psi, xi_psi) float64 dask.array<chunksize=(168, 224), meta=np.ndarray>\n", | |
" lat_rho (eta_rho, xi_rho) float64 dask.array<chunksize=(168, 224), meta=np.ndarray>\n", | |
" lat_u (eta_u, xi_u) float64 dask.array<chunksize=(168, 224), meta=np.ndarray>\n", | |
" lat_v (eta_v, xi_v) float64 dask.array<chunksize=(168, 224), meta=np.ndarray>\n", | |
" lon_psi (eta_psi, xi_psi) float64 dask.array<chunksize=(168, 224), meta=np.ndarray>\n", | |
" lon_rho (eta_rho, xi_rho) float64 dask.array<chunksize=(168, 224), meta=np.ndarray>\n", | |
" lon_u (eta_u, xi_u) float64 dask.array<chunksize=(168, 224), meta=np.ndarray>\n", | |
" lon_v (eta_v, xi_v) float64 dask.array<chunksize=(168, 224), meta=np.ndarray>\n", | |
" * ocean_time (ocean_time) datetime64[ns] 2009-08-21T01:00:00 ....\n", | |
" * s_rho (s_rho) float64 -0.9688 -0.9062 ... -0.03125\n", | |
" * s_w (s_w) float64 -1.0 -0.9375 -0.875 ... -0.0625 0.0\n", | |
"Dimensions without coordinates: eta_rho, xi_rho, tracer, NST, boundary, Nbed,\n", | |
" eta_u, xi_u, eta_v, xi_v, eta_psi, xi_psi\n", | |
"Data variables: (12/189)\n", | |
" AKs (ocean_time, s_w, eta_rho, xi_rho) float32 dask.array<chunksize=(168, 1, 168, 224), meta=np.ndarray>\n", | |
" AKt (ocean_time, s_w, eta_rho, xi_rho) float32 dask.array<chunksize=(168, 1, 168, 224), meta=np.ndarray>\n", | |
" AKv (ocean_time, s_w, eta_rho, xi_rho) float32 dask.array<chunksize=(168, 1, 168, 224), meta=np.ndarray>\n", | |
" Akk_bak (ocean_time) float64 dask.array<chunksize=(1,), meta=np.ndarray>\n", | |
" Akp_bak (ocean_time) float64 dask.array<chunksize=(1,), meta=np.ndarray>\n", | |
" Akt_bak (ocean_time, tracer) float64 dask.array<chunksize=(1, 8), meta=np.ndarray>\n", | |
" ... ...\n", | |
" wetdry_mask_psi (ocean_time, eta_psi, xi_psi) float32 dask.array<chunksize=(168, 168, 224), meta=np.ndarray>\n", | |
" wetdry_mask_rho (ocean_time, eta_rho, xi_rho) float32 dask.array<chunksize=(168, 168, 224), meta=np.ndarray>\n", | |
" wetdry_mask_u (ocean_time, eta_u, xi_u) float32 dask.array<chunksize=(168, 168, 224), meta=np.ndarray>\n", | |
" wetdry_mask_v (ocean_time, eta_v, xi_v) float32 dask.array<chunksize=(168, 168, 224), meta=np.ndarray>\n", | |
" xl (ocean_time) float64 dask.array<chunksize=(1,), meta=np.ndarray>\n", | |
" zeta (ocean_time, eta_rho, xi_rho) float32 dask.array<chunksize=(168, 168, 224), meta=np.ndarray>\n", | |
"Attributes: (12/37)\n", | |
" CPP_options: COAWST, ANA_BPFLUX, ANA_BSFLUX, ANA_BTFLUX, ANA_FSOBC,...\n", | |
" Conventions: CF-1.4, SGRID-0.3\n", | |
" NLM_LBC: \\nEDGE: WEST SOUTH EAST NORTH \\nzeta: ...\n", | |
" ana_file: ROMS/Functionals/ana_btflux.h, ROMS/Functionals/ana_fs...\n", | |
" bry_file_01: ./forcings3/USE_coawst_bdy.nc\n", | |
" clm_file_01: ./forcings3/USE_coawst_clm.nc\n", | |
" ... ...\n", | |
" svn_url: \n", | |
" tide_file: ../forcings/tide_forc_USeast_grd16_osu_rev2.nc\n", | |
" tiling: 006x004\n", | |
" title: COAWST ROMS SWAN\n", | |
" type: ROMS/TOMS history file\n", | |
" var_info: ROMS/External/varinfo.dat</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-4b2edec3-8885-40f3-b8af-4a5f7bcc8d91' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-4b2edec3-8885-40f3-b8af-4a5f7bcc8d91' class='xr-section-summary' title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>ocean_time</span>: 112392</li><li><span class='xr-has-index'>s_w</span>: 17</li><li><span>eta_rho</span>: 336</li><li><span>xi_rho</span>: 896</li><li><span>tracer</span>: 8</li><li><span class='xr-has-index'>s_rho</span>: 16</li><li><span>NST</span>: 6</li><li><span>boundary</span>: 4</li><li><span>Nbed</span>: 1</li><li><span>eta_u</span>: 336</li><li><span>xi_u</span>: 895</li><li><span>eta_v</span>: 335</li><li><span>xi_v</span>: 896</li><li><span>eta_psi</span>: 335</li><li><span>xi_psi</span>: 895</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-6513848e-d1bf-450b-82c2-38955a9dcdff' class='xr-section-summary-in' type='checkbox' checked><label for='section-6513848e-d1bf-450b-82c2-38955a9dcdff' class='xr-section-summary' >Coordinates: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>lat_psi</span></div><div class='xr-var-dims'>(eta_psi, xi_psi)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(168, 224), meta=np.ndarray></div><input id='attrs-f712a81f-a964-4e40-824b-ae3f6efbe917' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f712a81f-a964-4e40-824b-ae3f6efbe917' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eaaf4f25-a335-4a04-96a7-b7b48c8eaf0d' class='xr-var-data-in' type='checkbox'><label for='data-eaaf4f25-a335-4a04-96a7-b7b48c8eaf0d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>field :</span></dt><dd>lat_psi, scalar</dd><dt><span>long_name :</span></dt><dd>latitude of PSI-points</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degree_north</dd></dl></div><div class='xr-var-data'><table>\n", | |
" <tr>\n", | |
" <td>\n", | |
" <table style=\"border-collapse: collapse;\">\n", | |
" <thead>\n", | |
" <tr>\n", | |
" <td> </td>\n", | |
" <th> Array </th>\n", | |
" <th> Chunk </th>\n", | |
" </tr>\n", | |
" </thead>\n", | |
" <tbody>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Bytes </th>\n", | |
" <td> 2.29 MiB </td>\n", | |
" <td> 294.00 kiB </td>\n", | |
" </tr>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Shape </th>\n", | |
" <td> (335, 895) </td>\n", | |
" <td> (168, 224) </td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th> Dask graph </th>\n", | |
" <td colspan=\"2\"> 8 chunks in 2 graph layers </td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th> Data type </th>\n", | |
" <td colspan=\"2\"> float64 numpy.ndarray </td>\n", | |
" </tr>\n", | |
" </tbody>\n", | |
" </table>\n", | |
" </td>\n", | |
" <td>\n", | |
" <svg width=\"170\" height=\"94\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", | |
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"\n", | |
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"</svg>\n", | |
" </td>\n", | |
" </tr>\n", | |
"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_rho</span></div><div class='xr-var-dims'>(eta_rho, xi_rho)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(168, 224), meta=np.ndarray></div><input id='attrs-b5517b69-6756-45e1-92ff-712244c1b29c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b5517b69-6756-45e1-92ff-712244c1b29c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9a452dcf-15c4-4d85-8836-8ddd3e60ecd9' class='xr-var-data-in' type='checkbox'><label for='data-9a452dcf-15c4-4d85-8836-8ddd3e60ecd9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>field :</span></dt><dd>lat_rho, scalar</dd><dt><span>long_name :</span></dt><dd>latitude of RHO-points</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degree_north</dd></dl></div><div class='xr-var-data'><table>\n", | |
" <tr>\n", | |
" <td>\n", | |
" <table style=\"border-collapse: collapse;\">\n", | |
" <thead>\n", | |
" <tr>\n", | |
" <td> </td>\n", | |
" <th> Array </th>\n", | |
" <th> Chunk </th>\n", | |
" </tr>\n", | |
" </thead>\n", | |
" <tbody>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Bytes </th>\n", | |
" <td> 2.30 MiB </td>\n", | |
" <td> 294.00 kiB </td>\n", | |
" </tr>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Shape </th>\n", | |
" <td> (336, 896) </td>\n", | |
" <td> (168, 224) </td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th> Dask graph </th>\n", | |
" <td colspan=\"2\"> 8 chunks in 2 graph layers </td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th> Data type </th>\n", | |
" <td colspan=\"2\"> float64 numpy.ndarray </td>\n", | |
" </tr>\n", | |
" </tbody>\n", | |
" </table>\n", | |
" </td>\n", | |
" <td>\n", | |
" <svg width=\"170\" height=\"95\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", | |
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"</svg>\n", | |
" </td>\n", | |
" </tr>\n", | |
"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_u</span></div><div class='xr-var-dims'>(eta_u, xi_u)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(168, 224), meta=np.ndarray></div><input id='attrs-f43554ad-7634-4666-bbe2-fe85ca502213' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f43554ad-7634-4666-bbe2-fe85ca502213' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b37f710f-81c2-40be-bc1a-02c4196bf212' class='xr-var-data-in' type='checkbox'><label for='data-b37f710f-81c2-40be-bc1a-02c4196bf212' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>field :</span></dt><dd>lat_u, scalar</dd><dt><span>long_name :</span></dt><dd>latitude of U-points</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degree_north</dd></dl></div><div class='xr-var-data'><table>\n", | |
" <tr>\n", | |
" <td>\n", | |
" <table style=\"border-collapse: collapse;\">\n", | |
" <thead>\n", | |
" <tr>\n", | |
" <td> </td>\n", | |
" <th> Array </th>\n", | |
" <th> Chunk </th>\n", | |
" </tr>\n", | |
" </thead>\n", | |
" <tbody>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Bytes </th>\n", | |
" <td> 2.29 MiB </td>\n", | |
" <td> 294.00 kiB </td>\n", | |
" </tr>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Shape </th>\n", | |
" <td> (336, 895) </td>\n", | |
" <td> (168, 224) </td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th> Dask graph </th>\n", | |
" <td colspan=\"2\"> 8 chunks in 2 graph layers </td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th> Data type </th>\n", | |
" <td colspan=\"2\"> float64 numpy.ndarray </td>\n", | |
" </tr>\n", | |
" </tbody>\n", | |
" </table>\n", | |
" </td>\n", | |
" <td>\n", | |
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"</svg>\n", | |
" </td>\n", | |
" </tr>\n", | |
"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat_v</span></div><div class='xr-var-dims'>(eta_v, xi_v)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(168, 224), meta=np.ndarray></div><input id='attrs-2c4a96eb-cffb-4f82-95bf-cc1d4275f1b4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2c4a96eb-cffb-4f82-95bf-cc1d4275f1b4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bb7e194f-ac31-43d0-b1c5-90112e416c0e' class='xr-var-data-in' type='checkbox'><label for='data-bb7e194f-ac31-43d0-b1c5-90112e416c0e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>field :</span></dt><dd>lat_v, scalar</dd><dt><span>long_name :</span></dt><dd>latitude of V-points</dd><dt><span>standard_name :</span></dt><dd>latitude</dd><dt><span>units :</span></dt><dd>degree_north</dd></dl></div><div class='xr-var-data'><table>\n", | |
" <tr>\n", | |
" <td>\n", | |
" <table style=\"border-collapse: collapse;\">\n", | |
" <thead>\n", | |
" <tr>\n", | |
" <td> </td>\n", | |
" <th> Array </th>\n", | |
" <th> Chunk </th>\n", | |
" </tr>\n", | |
" </thead>\n", | |
" <tbody>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Bytes </th>\n", | |
" <td> 2.29 MiB </td>\n", | |
" <td> 294.00 kiB </td>\n", | |
" </tr>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Shape </th>\n", | |
" <td> (335, 896) </td>\n", | |
" <td> (168, 224) </td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th> Dask graph </th>\n", | |
" <td colspan=\"2\"> 8 chunks in 2 graph layers </td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th> Data type </th>\n", | |
" <td colspan=\"2\"> float64 numpy.ndarray </td>\n", | |
" </tr>\n", | |
" </tbody>\n", | |
" </table>\n", | |
" </td>\n", | |
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" </td>\n", | |
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_psi</span></div><div class='xr-var-dims'>(eta_psi, xi_psi)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(168, 224), meta=np.ndarray></div><input id='attrs-8c1cd5a8-9110-49cf-9967-faf6dc7f6dac' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8c1cd5a8-9110-49cf-9967-faf6dc7f6dac' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0cf9cb5e-3255-4e61-85b3-df4a9e1ebd23' class='xr-var-data-in' type='checkbox'><label for='data-0cf9cb5e-3255-4e61-85b3-df4a9e1ebd23' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>field :</span></dt><dd>lon_psi, scalar</dd><dt><span>long_name :</span></dt><dd>longitude of PSI-points</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degree_east</dd></dl></div><div class='xr-var-data'><table>\n", | |
" <tr>\n", | |
" <td>\n", | |
" <table style=\"border-collapse: collapse;\">\n", | |
" <thead>\n", | |
" <tr>\n", | |
" <td> </td>\n", | |
" <th> Array </th>\n", | |
" <th> Chunk </th>\n", | |
" </tr>\n", | |
" </thead>\n", | |
" <tbody>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Bytes </th>\n", | |
" <td> 2.29 MiB </td>\n", | |
" <td> 294.00 kiB </td>\n", | |
" </tr>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Shape </th>\n", | |
" <td> (335, 895) </td>\n", | |
" <td> (168, 224) </td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th> Dask graph </th>\n", | |
" <td colspan=\"2\"> 8 chunks in 2 graph layers </td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th> Data type </th>\n", | |
" <td colspan=\"2\"> float64 numpy.ndarray </td>\n", | |
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" <text x=\"140.000000\" y=\"22.458101\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,22.458101)\">335</text>\n", | |
"</svg>\n", | |
" </td>\n", | |
" </tr>\n", | |
"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_rho</span></div><div class='xr-var-dims'>(eta_rho, xi_rho)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(168, 224), meta=np.ndarray></div><input id='attrs-803e8ac5-f507-49e7-bc16-e6cc8431994e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-803e8ac5-f507-49e7-bc16-e6cc8431994e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0892ddd3-6a83-4b84-b5f6-907be8e1aa41' class='xr-var-data-in' type='checkbox'><label for='data-0892ddd3-6a83-4b84-b5f6-907be8e1aa41' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>field :</span></dt><dd>lon_rho, scalar</dd><dt><span>long_name :</span></dt><dd>longitude of RHO-points</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degree_east</dd></dl></div><div class='xr-var-data'><table>\n", | |
" <tr>\n", | |
" <td>\n", | |
" <table style=\"border-collapse: collapse;\">\n", | |
" <thead>\n", | |
" <tr>\n", | |
" <td> </td>\n", | |
" <th> Array </th>\n", | |
" <th> Chunk </th>\n", | |
" </tr>\n", | |
" </thead>\n", | |
" <tbody>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Bytes </th>\n", | |
" <td> 2.30 MiB </td>\n", | |
" <td> 294.00 kiB </td>\n", | |
" </tr>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Shape </th>\n", | |
" <td> (336, 896) </td>\n", | |
" <td> (168, 224) </td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th> Dask graph </th>\n", | |
" <td colspan=\"2\"> 8 chunks in 2 graph layers </td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th> Data type </th>\n", | |
" <td colspan=\"2\"> float64 numpy.ndarray </td>\n", | |
" </tr>\n", | |
" </tbody>\n", | |
" </table>\n", | |
" </td>\n", | |
" <td>\n", | |
" <svg width=\"170\" height=\"95\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", | |
"\n", | |
" <!-- Horizontal lines -->\n", | |
" <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", | |
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" <line x1=\"0\" y1=\"45\" x2=\"120\" y2=\"45\" style=\"stroke-width:2\" />\n", | |
"\n", | |
" <!-- Vertical lines -->\n", | |
" <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"45\" style=\"stroke-width:2\" />\n", | |
" <line x1=\"30\" y1=\"0\" x2=\"30\" y2=\"45\" />\n", | |
" <line x1=\"60\" y1=\"0\" x2=\"60\" y2=\"45\" />\n", | |
" <line x1=\"90\" y1=\"0\" x2=\"90\" y2=\"45\" />\n", | |
" <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"45\" style=\"stroke-width:2\" />\n", | |
"\n", | |
" <!-- Colored Rectangle -->\n", | |
" <polygon points=\"0.0,0.0 120.0,0.0 120.0,45.0 0.0,45.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n", | |
"\n", | |
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" <text x=\"60.000000\" y=\"65.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >896</text>\n", | |
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"</svg>\n", | |
" </td>\n", | |
" </tr>\n", | |
"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_u</span></div><div class='xr-var-dims'>(eta_u, xi_u)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(168, 224), meta=np.ndarray></div><input id='attrs-9633c2b0-91d7-45f0-ad76-15deea25e511' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9633c2b0-91d7-45f0-ad76-15deea25e511' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-117a5388-729d-449b-ae9b-9a2e46715c18' class='xr-var-data-in' type='checkbox'><label for='data-117a5388-729d-449b-ae9b-9a2e46715c18' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>field :</span></dt><dd>lon_u, scalar</dd><dt><span>long_name :</span></dt><dd>longitude of U-points</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degree_east</dd></dl></div><div class='xr-var-data'><table>\n", | |
" <tr>\n", | |
" <td>\n", | |
" <table style=\"border-collapse: collapse;\">\n", | |
" <thead>\n", | |
" <tr>\n", | |
" <td> </td>\n", | |
" <th> Array </th>\n", | |
" <th> Chunk </th>\n", | |
" </tr>\n", | |
" </thead>\n", | |
" <tbody>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Bytes </th>\n", | |
" <td> 2.29 MiB </td>\n", | |
" <td> 294.00 kiB </td>\n", | |
" </tr>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Shape </th>\n", | |
" <td> (336, 895) </td>\n", | |
" <td> (168, 224) </td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th> Dask graph </th>\n", | |
" <td colspan=\"2\"> 8 chunks in 2 graph layers </td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th> Data type </th>\n", | |
" <td colspan=\"2\"> float64 numpy.ndarray </td>\n", | |
" </tr>\n", | |
" </tbody>\n", | |
" </table>\n", | |
" </td>\n", | |
" <td>\n", | |
" <svg width=\"170\" height=\"95\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", | |
"\n", | |
" <!-- Horizontal lines -->\n", | |
" <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", | |
" <line x1=\"0\" y1=\"22\" x2=\"120\" y2=\"22\" />\n", | |
" <line x1=\"0\" y1=\"45\" x2=\"120\" y2=\"45\" style=\"stroke-width:2\" />\n", | |
"\n", | |
" <!-- Vertical lines -->\n", | |
" <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"45\" style=\"stroke-width:2\" />\n", | |
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" <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"45\" style=\"stroke-width:2\" />\n", | |
"\n", | |
" <!-- Colored Rectangle -->\n", | |
" <polygon points=\"0.0,0.0 120.0,0.0 120.0,45.050279329608934 0.0,45.050279329608934\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n", | |
"\n", | |
" <!-- Text -->\n", | |
" <text x=\"60.000000\" y=\"65.050279\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >895</text>\n", | |
" <text x=\"140.000000\" y=\"22.525140\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,22.525140)\">336</text>\n", | |
"</svg>\n", | |
" </td>\n", | |
" </tr>\n", | |
"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lon_v</span></div><div class='xr-var-dims'>(eta_v, xi_v)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(168, 224), meta=np.ndarray></div><input id='attrs-1f4dfc96-c827-47bc-9526-13047a12525b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1f4dfc96-c827-47bc-9526-13047a12525b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-61552f1e-5bb7-4258-85b2-1c5e94873ed0' class='xr-var-data-in' type='checkbox'><label for='data-61552f1e-5bb7-4258-85b2-1c5e94873ed0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>field :</span></dt><dd>lon_v, scalar</dd><dt><span>long_name :</span></dt><dd>longitude of V-points</dd><dt><span>standard_name :</span></dt><dd>longitude</dd><dt><span>units :</span></dt><dd>degree_east</dd></dl></div><div class='xr-var-data'><table>\n", | |
" <tr>\n", | |
" <td>\n", | |
" <table style=\"border-collapse: collapse;\">\n", | |
" <thead>\n", | |
" <tr>\n", | |
" <td> </td>\n", | |
" <th> Array </th>\n", | |
" <th> Chunk </th>\n", | |
" </tr>\n", | |
" </thead>\n", | |
" <tbody>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Bytes </th>\n", | |
" <td> 2.29 MiB </td>\n", | |
" <td> 294.00 kiB </td>\n", | |
" </tr>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Shape </th>\n", | |
" <td> (335, 896) </td>\n", | |
" <td> (168, 224) </td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th> Dask graph </th>\n", | |
" <td colspan=\"2\"> 8 chunks in 2 graph layers </td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th> Data type </th>\n", | |
" <td colspan=\"2\"> float64 numpy.ndarray </td>\n", | |
" </tr>\n", | |
" </tbody>\n", | |
" </table>\n", | |
" </td>\n", | |
" <td>\n", | |
" <svg width=\"170\" height=\"94\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", | |
"\n", | |
" <!-- Horizontal lines -->\n", | |
" <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n", | |
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"\n", | |
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" <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"44\" style=\"stroke-width:2\" />\n", | |
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" <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"44\" style=\"stroke-width:2\" />\n", | |
"\n", | |
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" <polygon points=\"0.0,0.0 120.0,0.0 120.0,44.86607142857143 0.0,44.86607142857143\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n", | |
"\n", | |
" <!-- Text -->\n", | |
" <text x=\"60.000000\" y=\"64.866071\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >896</text>\n", | |
" <text x=\"140.000000\" y=\"22.433036\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,22.433036)\">335</text>\n", | |
"</svg>\n", | |
" </td>\n", | |
" </tr>\n", | |
"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>ocean_time</span></div><div class='xr-var-dims'>(ocean_time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2009-08-21T01:00:00 ... 2022-06-17</div><input id='attrs-768c120e-9841-4170-a337-a3cc96d0c22a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-768c120e-9841-4170-a337-a3cc96d0c22a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0634b9d3-2b0a-4bd4-ae56-5082377e2945' class='xr-var-data-in' type='checkbox'><label for='data-0634b9d3-2b0a-4bd4-ae56-5082377e2945' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd></dl></div><div class='xr-var-data'><pre>array(['2009-08-21T01:00:00.000000000', '2009-08-21T02:00:00.000000000',\n", | |
" '2009-08-21T03:00:00.000000000', ..., '2022-06-16T22:00:00.000000000',\n", | |
" '2022-06-16T23:00:00.000000000', '2022-06-17T00:00:00.000000000'],\n", | |
" dtype='datetime64[ns]')</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>s_rho</span></div><div class='xr-var-dims'>(s_rho)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-0.9688 -0.9062 ... -0.03125</div><input id='attrs-32d62344-f7c6-43be-a819-615961413c59' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-32d62344-f7c6-43be-a819-615961413c59' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bc636722-4a54-4df5-a17a-51f8703434aa' class='xr-var-data-in' type='checkbox'><label for='data-bc636722-4a54-4df5-a17a-51f8703434aa' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>field :</span></dt><dd>s_rho, scalar</dd><dt><span>formula_terms :</span></dt><dd>s: s_rho C: Cs_r eta: zeta depth: h depth_c: hc</dd><dt><span>long_name :</span></dt><dd>S-coordinate at RHO-points</dd><dt><span>positive :</span></dt><dd>up</dd><dt><span>standard_name :</span></dt><dd>ocean_s_coordinate_g1</dd><dt><span>valid_max :</span></dt><dd>0.0</dd><dt><span>valid_min :</span></dt><dd>-1.0</dd></dl></div><div class='xr-var-data'><pre>array([-0.96875, -0.90625, -0.84375, -0.78125, -0.71875, -0.65625, -0.59375,\n", | |
" -0.53125, -0.46875, -0.40625, -0.34375, -0.28125, -0.21875, -0.15625,\n", | |
" -0.09375, -0.03125])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>s_w</span></div><div class='xr-var-dims'>(s_w)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-1.0 -0.9375 -0.875 ... -0.0625 0.0</div><input id='attrs-64d06c90-e122-4af6-b1c0-8970c47a40a5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-64d06c90-e122-4af6-b1c0-8970c47a40a5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b5ace6f1-6029-4dc2-9027-03732f4ee382' class='xr-var-data-in' type='checkbox'><label for='data-b5ace6f1-6029-4dc2-9027-03732f4ee382' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>field :</span></dt><dd>s_w, scalar</dd><dt><span>formula_terms :</span></dt><dd>s: s_w C: Cs_w eta: zeta depth: h depth_c: hc</dd><dt><span>long_name :</span></dt><dd>S-coordinate at W-points</dd><dt><span>positive :</span></dt><dd>up</dd><dt><span>standard_name :</span></dt><dd>ocean_s_coordinate_g1</dd><dt><span>valid_max :</span></dt><dd>0.0</dd><dt><span>valid_min :</span></dt><dd>-1.0</dd></dl></div><div class='xr-var-data'><pre>array([-1. , -0.9375, -0.875 , -0.8125, -0.75 , -0.6875, -0.625 , -0.5625,\n", | |
" -0.5 , -0.4375, -0.375 , -0.3125, -0.25 , -0.1875, -0.125 , -0.0625,\n", | |
" 0. ])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0541fe01-2e2a-4b89-b4ff-4f07178247ff' class='xr-section-summary-in' type='checkbox' ><label for='section-0541fe01-2e2a-4b89-b4ff-4f07178247ff' class='xr-section-summary' >Data variables: <span>(189)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>AKs</span></div><div class='xr-var-dims'>(ocean_time, s_w, eta_rho, xi_rho)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(168, 1, 168, 224), meta=np.ndarray></div><input id='attrs-7e5e4939-5d5b-4c51-bf37-398b557998cb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7e5e4939-5d5b-4c51-bf37-398b557998cb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cf3f0d29-c22a-4c0f-9cca-0bfc909ca64d' class='xr-var-data-in' type='checkbox'><label for='data-cf3f0d29-c22a-4c0f-9cca-0bfc909ca64d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>field :</span></dt><dd>AKs, scalar, series</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>face</dd><dt><span>long_name :</span></dt><dd>salinity vertical diffusion coefficient</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>units :</span></dt><dd>meter2 second-1</dd></dl></div><div class='xr-var-data'><table>\n", | |
" <tr>\n", | |
" <td>\n", | |
" <table style=\"border-collapse: collapse;\">\n", | |
" <thead>\n", | |
" <tr>\n", | |
" <td> </td>\n", | |
" <th> Array </th>\n", | |
" <th> Chunk </th>\n", | |
" </tr>\n", | |
" </thead>\n", | |
" <tbody>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Bytes </th>\n", | |
" <td> 2.09 TiB </td>\n", | |
" <td> 24.12 MiB </td>\n", | |
" </tr>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Shape </th>\n", | |
" <td> (112392, 17, 336, 896) </td>\n", | |
" <td> (168, 1, 168, 224) </td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th> Dask graph </th>\n", | |
" <td colspan=\"2\"> 90984 chunks in 2 graph layers </td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th> Data type </th>\n", | |
" <td colspan=\"2\"> float32 numpy.ndarray </td>\n", | |
" </tr>\n", | |
" </tbody>\n", | |
" </table>\n", | |
" </td>\n", | |
" <td>\n", | |
" <svg width=\"470\" height=\"90\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", | |
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"\n", | |
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>AKt</span></div><div class='xr-var-dims'>(ocean_time, s_w, eta_rho, xi_rho)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(168, 1, 168, 224), meta=np.ndarray></div><input id='attrs-59689c28-8044-44df-965c-93b3a903515f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-59689c28-8044-44df-965c-93b3a903515f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fecefd2e-46fc-4a1f-ba31-1a2cfed9d8b0' class='xr-var-data-in' type='checkbox'><label for='data-fecefd2e-46fc-4a1f-ba31-1a2cfed9d8b0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>field :</span></dt><dd>AKt, scalar, series</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>face</dd><dt><span>long_name :</span></dt><dd>temperature vertical diffusion coefficient</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>units :</span></dt><dd>meter2 second-1</dd></dl></div><div class='xr-var-data'><table>\n", | |
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" <thead>\n", | |
" <tr>\n", | |
" <td> </td>\n", | |
" <th> Array </th>\n", | |
" <th> Chunk </th>\n", | |
" </tr>\n", | |
" </thead>\n", | |
" <tbody>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Bytes </th>\n", | |
" <td> 2.09 TiB </td>\n", | |
" <td> 24.12 MiB </td>\n", | |
" </tr>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Shape </th>\n", | |
" <td> (112392, 17, 336, 896) </td>\n", | |
" <td> (168, 1, 168, 224) </td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th> Dask graph </th>\n", | |
" <td colspan=\"2\"> 90984 chunks in 2 graph layers </td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th> Data type </th>\n", | |
" <td colspan=\"2\"> float32 numpy.ndarray </td>\n", | |
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>AKv</span></div><div class='xr-var-dims'>(ocean_time, s_w, eta_rho, xi_rho)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(168, 1, 168, 224), meta=np.ndarray></div><input id='attrs-c7953de4-0c5d-4791-a228-1dec4209b70c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c7953de4-0c5d-4791-a228-1dec4209b70c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-df72d629-0b0a-4e49-8615-f7d664ff835a' class='xr-var-data-in' type='checkbox'><label for='data-df72d629-0b0a-4e49-8615-f7d664ff835a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>field :</span></dt><dd>AKv, scalar, series</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>face</dd><dt><span>long_name :</span></dt><dd>vertical viscosity coefficient</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>units :</span></dt><dd>meter2 second-1</dd></dl></div><div class='xr-var-data'><table>\n", | |
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" </thead>\n", | |
" <tbody>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Bytes </th>\n", | |
" <td> 2.09 TiB </td>\n", | |
" <td> 24.12 MiB </td>\n", | |
" </tr>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Shape </th>\n", | |
" <td> (112392, 17, 336, 896) </td>\n", | |
" <td> (168, 1, 168, 224) </td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th> Dask graph </th>\n", | |
" <td colspan=\"2\"> 90984 chunks in 2 graph layers </td>\n", | |
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" <tr>\n", | |
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Akk_bak</span></div><div class='xr-var-dims'>(ocean_time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1,), meta=np.ndarray></div><input id='attrs-bf415ca8-adc8-4cb1-abe6-7fed199655b4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bf415ca8-adc8-4cb1-abe6-7fed199655b4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-03fb0565-85a8-4acc-b33a-643b7b685dc8' class='xr-var-data-in' type='checkbox'><label for='data-03fb0565-85a8-4acc-b33a-643b7b685dc8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>background vertical mixing coefficient for turbulent energy</dd><dt><span>units :</span></dt><dd>meter2 second-1</dd></dl></div><div class='xr-var-data'><table>\n", | |
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" <td>\n", | |
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" </thead>\n", | |
" <tbody>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Bytes </th>\n", | |
" <td> 878.06 kiB </td>\n", | |
" <td> 8 B </td>\n", | |
" </tr>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Shape </th>\n", | |
" <td> (112392,) </td>\n", | |
" <td> (1,) </td>\n", | |
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" <tr>\n", | |
" <th> Dask graph </th>\n", | |
" <td colspan=\"2\"> 112392 chunks in 2 graph layers </td>\n", | |
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" <th> Data type </th>\n", | |
" <td colspan=\"2\"> float64 numpy.ndarray </td>\n", | |
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Akp_bak</span></div><div class='xr-var-dims'>(ocean_time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1,), meta=np.ndarray></div><input id='attrs-d1f09cae-3d0a-4185-8b4f-632eac315747' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d1f09cae-3d0a-4185-8b4f-632eac315747' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c23d460b-8a8a-43b0-ac7e-735cc2a72211' class='xr-var-data-in' type='checkbox'><label for='data-c23d460b-8a8a-43b0-ac7e-735cc2a72211' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>background vertical mixing coefficient for length scale</dd><dt><span>units :</span></dt><dd>meter2 second-1</dd></dl></div><div class='xr-var-data'><table>\n", | |
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" <tr>\n", | |
" <th> Bytes </th>\n", | |
" <td> 878.06 kiB </td>\n", | |
" <td> 8 B </td>\n", | |
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" <tr>\n", | |
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" <td> (112392,) </td>\n", | |
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Akt_bak</span></div><div class='xr-var-dims'>(ocean_time, tracer)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1, 8), meta=np.ndarray></div><input id='attrs-f9c8572a-ed8d-4617-9dd6-ff08cd2a34e2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f9c8572a-ed8d-4617-9dd6-ff08cd2a34e2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-697b3ff8-fa26-408f-b1ae-5f215ddf6357' class='xr-var-data-in' type='checkbox'><label for='data-697b3ff8-fa26-408f-b1ae-5f215ddf6357' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>background vertical mixing coefficient for tracers</dd><dt><span>units :</span></dt><dd>meter2 second-1</dd></dl></div><div class='xr-var-data'><table>\n", | |
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" <td>\n", | |
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" </thead>\n", | |
" <tbody>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Bytes </th>\n", | |
" <td> 6.86 MiB </td>\n", | |
" <td> 64 B </td>\n", | |
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" <tr>\n", | |
" <th> Shape </th>\n", | |
" <td> (112392, 8) </td>\n", | |
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" <tr>\n", | |
" <th> Dask graph </th>\n", | |
" <td colspan=\"2\"> 112392 chunks in 2 graph layers </td>\n", | |
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Akv_bak</span></div><div class='xr-var-dims'>(ocean_time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1,), meta=np.ndarray></div><input id='attrs-7ffd9b7d-196a-4f57-9e9a-203b26b9dbe6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7ffd9b7d-196a-4f57-9e9a-203b26b9dbe6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8c543e5e-3ee5-483f-84b0-0eb34481d828' class='xr-var-data-in' type='checkbox'><label for='data-8c543e5e-3ee5-483f-84b0-0eb34481d828' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>background vertical mixing coefficient for momentum</dd><dt><span>units :</span></dt><dd>meter2 second-1</dd></dl></div><div class='xr-var-data'><table>\n", | |
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" </tr>\n", | |
" </thead>\n", | |
" <tbody>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Bytes </th>\n", | |
" <td> 878.06 kiB </td>\n", | |
" <td> 8 B </td>\n", | |
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" <tr>\n", | |
" <th> Shape </th>\n", | |
" <td> (112392,) </td>\n", | |
" <td> (1,) </td>\n", | |
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" <tr>\n", | |
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" <td colspan=\"2\"> 112392 chunks in 2 graph layers </td>\n", | |
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" <tr>\n", | |
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" <td colspan=\"2\"> float64 numpy.ndarray </td>\n", | |
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Charnok_alpha</span></div><div class='xr-var-dims'>(ocean_time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1,), meta=np.ndarray></div><input id='attrs-1606fa5e-f8d5-4747-bfb7-ddbe2236c854' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1606fa5e-f8d5-4747-bfb7-ddbe2236c854' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-187efd09-3079-4090-ae95-1e7fa8b49c7f' class='xr-var-data-in' type='checkbox'><label for='data-187efd09-3079-4090-ae95-1e7fa8b49c7f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Charnok factor for surface roughness</dd></dl></div><div class='xr-var-data'><table>\n", | |
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" </thead>\n", | |
" <tbody>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Bytes </th>\n", | |
" <td> 878.06 kiB </td>\n", | |
" <td> 8 B </td>\n", | |
" </tr>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Shape </th>\n", | |
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" <td> (1,) </td>\n", | |
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" <tr>\n", | |
" <th> Dask graph </th>\n", | |
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>CrgBan_cw</span></div><div class='xr-var-dims'>(ocean_time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1,), meta=np.ndarray></div><input id='attrs-5efa6ad9-08f2-4017-80b5-7a611e31a329' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5efa6ad9-08f2-4017-80b5-7a611e31a329' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c02c9295-6f2b-4fab-9554-ee001bf76c84' class='xr-var-data-in' type='checkbox'><label for='data-c02c9295-6f2b-4fab-9554-ee001bf76c84' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>surface flux due to Craig and Banner wave breaking</dd></dl></div><div class='xr-var-data'><table>\n", | |
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" <tr>\n", | |
" <th> Bytes </th>\n", | |
" <td> 878.06 kiB </td>\n", | |
" <td> 8 B </td>\n", | |
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" \n", | |
" <tr>\n", | |
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"</svg>\n", | |
" </td>\n", | |
" </tr>\n", | |
"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Cs_r</span></div><div class='xr-var-dims'>(ocean_time, s_rho)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1, 1), meta=np.ndarray></div><input id='attrs-2a3aec8b-a1f4-48ed-abb6-7d3130292c30' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2a3aec8b-a1f4-48ed-abb6-7d3130292c30' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-76db6a09-cc50-413d-9332-373f4297c050' class='xr-var-data-in' type='checkbox'><label for='data-76db6a09-cc50-413d-9332-373f4297c050' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>field :</span></dt><dd>Cs_r, scalar</dd><dt><span>long_name :</span></dt><dd>S-coordinate stretching curves at RHO-points</dd><dt><span>valid_max :</span></dt><dd>0.0</dd><dt><span>valid_min :</span></dt><dd>-1.0</dd></dl></div><div class='xr-var-data'><table>\n", | |
" <tr>\n", | |
" <td>\n", | |
" <table style=\"border-collapse: collapse;\">\n", | |
" <thead>\n", | |
" <tr>\n", | |
" <td> </td>\n", | |
" <th> Array </th>\n", | |
" <th> Chunk </th>\n", | |
" </tr>\n", | |
" </thead>\n", | |
" <tbody>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Bytes </th>\n", | |
" <td> 13.72 MiB </td>\n", | |
" <td> 8 B </td>\n", | |
" </tr>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Shape </th>\n", | |
" <td> (112392, 16) </td>\n", | |
" <td> (1, 1) </td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th> Dask graph </th>\n", | |
" <td colspan=\"2\"> 1798272 chunks in 2 graph layers </td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th> Data type </th>\n", | |
" <td colspan=\"2\"> float64 numpy.ndarray </td>\n", | |
" </tr>\n", | |
" </tbody>\n", | |
" </table>\n", | |
" </td>\n", | |
" <td>\n", | |
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"</svg>\n", | |
" </td>\n", | |
" </tr>\n", | |
"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Cs_w</span></div><div class='xr-var-dims'>(ocean_time, s_w)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1, 1), meta=np.ndarray></div><input id='attrs-bf023ed8-7266-41ea-a11a-30e82a086469' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bf023ed8-7266-41ea-a11a-30e82a086469' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ca6bdb45-c5b4-4201-9d78-34816cc1e27f' class='xr-var-data-in' type='checkbox'><label for='data-ca6bdb45-c5b4-4201-9d78-34816cc1e27f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>field :</span></dt><dd>Cs_w, scalar</dd><dt><span>long_name :</span></dt><dd>S-coordinate stretching curves at W-points</dd><dt><span>valid_max :</span></dt><dd>0.0</dd><dt><span>valid_min :</span></dt><dd>-1.0</dd></dl></div><div class='xr-var-data'><table>\n", | |
" <tr>\n", | |
" <td>\n", | |
" <table style=\"border-collapse: collapse;\">\n", | |
" <thead>\n", | |
" <tr>\n", | |
" <td> </td>\n", | |
" <th> Array </th>\n", | |
" <th> Chunk </th>\n", | |
" </tr>\n", | |
" </thead>\n", | |
" <tbody>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Bytes </th>\n", | |
" <td> 14.58 MiB </td>\n", | |
" <td> 8 B </td>\n", | |
" </tr>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Shape </th>\n", | |
" <td> (112392, 17) </td>\n", | |
" <td> (1, 1) </td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th> Dask graph </th>\n", | |
" <td colspan=\"2\"> 1910664 chunks in 2 graph layers </td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th> Data type </th>\n", | |
" <td colspan=\"2\"> float64 numpy.ndarray </td>\n", | |
" </tr>\n", | |
" </tbody>\n", | |
" </table>\n", | |
" </td>\n", | |
" <td>\n", | |
" <svg width=\"75\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", | |
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"</svg>\n", | |
" </td>\n", | |
" </tr>\n", | |
"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Csed</span></div><div class='xr-var-dims'>(ocean_time, NST)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1, 6), meta=np.ndarray></div><input id='attrs-0af94862-d8c8-4abe-a987-ee69083dac8d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0af94862-d8c8-4abe-a987-ee69083dac8d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-593077d6-f24c-40e5-bccd-bba3d9b14847' class='xr-var-data-in' type='checkbox'><label for='data-593077d6-f24c-40e5-bccd-bba3d9b14847' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>sediment concentration used in uniform initial conditions</dd><dt><span>units :</span></dt><dd>kilogram meter-3</dd></dl></div><div class='xr-var-data'><table>\n", | |
" <tr>\n", | |
" <td>\n", | |
" <table style=\"border-collapse: collapse;\">\n", | |
" <thead>\n", | |
" <tr>\n", | |
" <td> </td>\n", | |
" <th> Array </th>\n", | |
" <th> Chunk </th>\n", | |
" </tr>\n", | |
" </thead>\n", | |
" <tbody>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Bytes </th>\n", | |
" <td> 5.14 MiB </td>\n", | |
" <td> 48 B </td>\n", | |
" </tr>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Shape </th>\n", | |
" <td> (112392, 6) </td>\n", | |
" <td> (1, 6) </td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th> Dask graph </th>\n", | |
" <td colspan=\"2\"> 112392 chunks in 2 graph layers </td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th> Data type </th>\n", | |
" <td colspan=\"2\"> float64 numpy.ndarray </td>\n", | |
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" </tbody>\n", | |
" </table>\n", | |
" </td>\n", | |
" <td>\n", | |
" <svg width=\"75\" height=\"170\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", | |
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" </td>\n", | |
" </tr>\n", | |
"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Dwave</span></div><div class='xr-var-dims'>(ocean_time, eta_rho, xi_rho)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(168, 168, 224), meta=np.ndarray></div><input id='attrs-adc28d09-c05d-4974-aedf-b619b86c2e96' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-adc28d09-c05d-4974-aedf-b619b86c2e96' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4e73a8bc-4054-47ee-a07c-617d753231cf' class='xr-var-data-in' type='checkbox'><label for='data-4e73a8bc-4054-47ee-a07c-617d753231cf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>field :</span></dt><dd>Dwave, scalar, series</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>face</dd><dt><span>long_name :</span></dt><dd>wind-induced wave direction - mean</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>units :</span></dt><dd>degrees</dd></dl></div><div class='xr-var-data'><table>\n", | |
" <tr>\n", | |
" <td>\n", | |
" <table style=\"border-collapse: collapse;\">\n", | |
" <thead>\n", | |
" <tr>\n", | |
" <td> </td>\n", | |
" <th> Array </th>\n", | |
" <th> Chunk </th>\n", | |
" </tr>\n", | |
" </thead>\n", | |
" <tbody>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Bytes </th>\n", | |
" <td> 126.05 GiB </td>\n", | |
" <td> 24.12 MiB </td>\n", | |
" </tr>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Shape </th>\n", | |
" <td> (112392, 336, 896) </td>\n", | |
" <td> (168, 168, 224) </td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th> Dask graph </th>\n", | |
" <td colspan=\"2\"> 5352 chunks in 2 graph layers </td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th> Data type </th>\n", | |
" <td colspan=\"2\"> float32 numpy.ndarray </td>\n", | |
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" </tbody>\n", | |
" </table>\n", | |
" </td>\n", | |
" <td>\n", | |
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Erate</span></div><div class='xr-var-dims'>(ocean_time, NST)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1, 6), meta=np.ndarray></div><input id='attrs-33ba21f4-e461-4193-9a12-a22f30792867' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-33ba21f4-e461-4193-9a12-a22f30792867' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-14de6d65-5880-4666-aa57-3451177d58b8' class='xr-var-data-in' type='checkbox'><label for='data-14de6d65-5880-4666-aa57-3451177d58b8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>sediment surface layer erosing rate</dd><dt><span>units :</span></dt><dd>kilogram meter-2 second-1</dd></dl></div><div class='xr-var-data'><table>\n", | |
" <tr>\n", | |
" <td>\n", | |
" <table style=\"border-collapse: collapse;\">\n", | |
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" </tr>\n", | |
" </thead>\n", | |
" <tbody>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Bytes </th>\n", | |
" <td> 5.14 MiB </td>\n", | |
" <td> 48 B </td>\n", | |
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" \n", | |
" <tr>\n", | |
" <th> Shape </th>\n", | |
" <td> (112392, 6) </td>\n", | |
" <td> (1, 6) </td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th> Dask graph </th>\n", | |
" <td colspan=\"2\"> 112392 chunks in 2 graph layers </td>\n", | |
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" <tr>\n", | |
" <th> Data type </th>\n", | |
" <td colspan=\"2\"> float64 numpy.ndarray </td>\n", | |
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" </table>\n", | |
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>FSobc_in</span></div><div class='xr-var-dims'>(ocean_time, boundary)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1, 4), meta=np.ndarray></div><input id='attrs-0f5f3baa-7fb0-4727-ba7f-7035cc295d2d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0f5f3baa-7fb0-4727-ba7f-7035cc295d2d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-40fab1c5-f16a-45e7-8648-548c91a4c9f9' class='xr-var-data-in' type='checkbox'><label for='data-40fab1c5-f16a-45e7-8648-548c91a4c9f9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>free-surface inflow, nudging inverse time scale</dd><dt><span>units :</span></dt><dd>second-1</dd></dl></div><div class='xr-var-data'><table>\n", | |
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" <td>\n", | |
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" </tr>\n", | |
" </thead>\n", | |
" <tbody>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Bytes </th>\n", | |
" <td> 3.43 MiB </td>\n", | |
" <td> 32 B </td>\n", | |
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" \n", | |
" <tr>\n", | |
" <th> Shape </th>\n", | |
" <td> (112392, 4) </td>\n", | |
" <td> (1, 4) </td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th> Dask graph </th>\n", | |
" <td colspan=\"2\"> 112392 chunks in 2 graph layers </td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th> Data type </th>\n", | |
" <td colspan=\"2\"> float64 numpy.ndarray </td>\n", | |
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>FSobc_out</span></div><div class='xr-var-dims'>(ocean_time, boundary)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1, 4), meta=np.ndarray></div><input id='attrs-088de533-fcb1-4272-b8e4-e89be83942b6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-088de533-fcb1-4272-b8e4-e89be83942b6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-117aabe7-db7d-43dd-83c9-9e236e3c9e49' class='xr-var-data-in' type='checkbox'><label for='data-117aabe7-db7d-43dd-83c9-9e236e3c9e49' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>free-surface outflow, nudging inverse time scale</dd><dt><span>units :</span></dt><dd>second-1</dd></dl></div><div class='xr-var-data'><table>\n", | |
" <tr>\n", | |
" <td>\n", | |
" <table style=\"border-collapse: collapse;\">\n", | |
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" </tr>\n", | |
" </thead>\n", | |
" <tbody>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Bytes </th>\n", | |
" <td> 3.43 MiB </td>\n", | |
" <td> 32 B </td>\n", | |
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" \n", | |
" <tr>\n", | |
" <th> Shape </th>\n", | |
" <td> (112392, 4) </td>\n", | |
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" <tr>\n", | |
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" <td colspan=\"2\"> 112392 chunks in 2 graph layers </td>\n", | |
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" <tr>\n", | |
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" <td colspan=\"2\"> float64 numpy.ndarray </td>\n", | |
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Falpha</span></div><div class='xr-var-dims'>(ocean_time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1,), meta=np.ndarray></div><input id='attrs-385f7b33-48b1-44fc-a6c5-538a77a85193' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-385f7b33-48b1-44fc-a6c5-538a77a85193' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fbcd0705-049c-410b-93c6-865d53dd4ca5' class='xr-var-data-in' type='checkbox'><label for='data-fbcd0705-049c-410b-93c6-865d53dd4ca5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Power-law shape barotropic filter parameter</dd></dl></div><div class='xr-var-data'><table>\n", | |
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" <tbody>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Bytes </th>\n", | |
" <td> 878.06 kiB </td>\n", | |
" <td> 8 B </td>\n", | |
" </tr>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Shape </th>\n", | |
" <td> (112392,) </td>\n", | |
" <td> (1,) </td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th> Dask graph </th>\n", | |
" <td colspan=\"2\"> 112392 chunks in 2 graph layers </td>\n", | |
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" <th> Data type </th>\n", | |
" <td colspan=\"2\"> float64 numpy.ndarray </td>\n", | |
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Fbeta</span></div><div class='xr-var-dims'>(ocean_time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1,), meta=np.ndarray></div><input id='attrs-aef7a94a-9de5-4acb-82d6-0e3f4929a82d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-aef7a94a-9de5-4acb-82d6-0e3f4929a82d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f21c3b8c-c578-43ae-9708-255da2398831' class='xr-var-data-in' type='checkbox'><label for='data-f21c3b8c-c578-43ae-9708-255da2398831' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Power-law shape barotropic filter parameter</dd></dl></div><div class='xr-var-data'><table>\n", | |
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" </thead>\n", | |
" <tbody>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Bytes </th>\n", | |
" <td> 878.06 kiB </td>\n", | |
" <td> 8 B </td>\n", | |
" </tr>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Shape </th>\n", | |
" <td> (112392,) </td>\n", | |
" <td> (1,) </td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th> Dask graph </th>\n", | |
" <td colspan=\"2\"> 112392 chunks in 2 graph layers </td>\n", | |
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" <th> Data type </th>\n", | |
" <td colspan=\"2\"> float64 numpy.ndarray </td>\n", | |
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Fgamma</span></div><div class='xr-var-dims'>(ocean_time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1,), meta=np.ndarray></div><input id='attrs-619a7d9d-fcb6-427f-a80f-289e6bbeb2f9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-619a7d9d-fcb6-427f-a80f-289e6bbeb2f9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-41eb2ca5-74ef-49f3-a8c1-d01cce3ddd93' class='xr-var-data-in' type='checkbox'><label for='data-41eb2ca5-74ef-49f3-a8c1-d01cce3ddd93' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>Power-law shape barotropic filter parameter</dd></dl></div><div class='xr-var-data'><table>\n", | |
" <tr>\n", | |
" <td>\n", | |
" <table style=\"border-collapse: collapse;\">\n", | |
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" </thead>\n", | |
" <tbody>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Bytes </th>\n", | |
" <td> 878.06 kiB </td>\n", | |
" <td> 8 B </td>\n", | |
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" \n", | |
" <tr>\n", | |
" <th> Shape </th>\n", | |
" <td> (112392,) </td>\n", | |
" <td> (1,) </td>\n", | |
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" <td colspan=\"2\"> float64 numpy.ndarray </td>\n", | |
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Hwave</span></div><div class='xr-var-dims'>(ocean_time, eta_rho, xi_rho)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(168, 168, 224), meta=np.ndarray></div><input id='attrs-e9caf51c-629c-44fa-b31d-b3a44f4da30e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e9caf51c-629c-44fa-b31d-b3a44f4da30e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c4427993-087f-48a8-95be-2b7439875c3d' class='xr-var-data-in' type='checkbox'><label for='data-c4427993-087f-48a8-95be-2b7439875c3d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>field :</span></dt><dd>Hwave, scalar, series</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>face</dd><dt><span>long_name :</span></dt><dd>wind-induced significant wave height</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>units :</span></dt><dd>meter</dd></dl></div><div class='xr-var-data'><table>\n", | |
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" <th> Bytes </th>\n", | |
" <td> 126.05 GiB </td>\n", | |
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" <tr>\n", | |
" <th> Shape </th>\n", | |
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Lm3CLM</span></div><div class='xr-var-dims'>(ocean_time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1,), meta=np.ndarray></div><input id='attrs-bfed3d2c-f021-40f9-bb9b-d710c5eb0750' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bfed3d2c-f021-40f9-bb9b-d710c5eb0750' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-35c2de8c-811b-42ae-8d52-8268a1bd7137' class='xr-var-data-in' type='checkbox'><label for='data-35c2de8c-811b-42ae-8d52-8268a1bd7137' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>flag_meanings :</span></dt><dd>.FALSE. .TRUE.</dd><dt><span>flag_values :</span></dt><dd>[0, 1]</dd><dt><span>long_name :</span></dt><dd>3D momentum climatology processing switch</dd></dl></div><div class='xr-var-data'><table>\n", | |
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" <tbody>\n", | |
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>LnudgeTCLM</span></div><div class='xr-var-dims'>(ocean_time, tracer)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1, 8), meta=np.ndarray></div><input id='attrs-45319eb1-126e-4c33-aa5e-2f3b6c70397c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-45319eb1-126e-4c33-aa5e-2f3b6c70397c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ee60b9a9-478c-448d-a11b-e6fcbf7a8eba' class='xr-var-data-in' type='checkbox'><label for='data-ee60b9a9-478c-448d-a11b-e6fcbf7a8eba' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>flag_meanings :</span></dt><dd>.FALSE. .TRUE.</dd><dt><span>flag_values :</span></dt><dd>[0, 1]</dd><dt><span>long_name :</span></dt><dd>tracer climatology nudging activation switch</dd></dl></div><div class='xr-var-data'><table>\n", | |
" <tr>\n", | |
" <td>\n", | |
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" </thead>\n", | |
" <tbody>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Bytes </th>\n", | |
" <td> 3.43 MiB </td>\n", | |
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" <th> Shape </th>\n", | |
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>LsshCLM</span></div><div class='xr-var-dims'>(ocean_time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1,), meta=np.ndarray></div><input id='attrs-9314cf7e-d669-43e7-a9b6-c0ef6b920977' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9314cf7e-d669-43e7-a9b6-c0ef6b920977' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b12f3e48-dedd-41be-924a-44523e742cb9' class='xr-var-data-in' type='checkbox'><label for='data-b12f3e48-dedd-41be-924a-44523e742cb9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>flag_meanings :</span></dt><dd>.FALSE. .TRUE.</dd><dt><span>flag_values :</span></dt><dd>[0, 1]</dd><dt><span>long_name :</span></dt><dd>sea surface height climatology processing switch</dd></dl></div><div class='xr-var-data'><table>\n", | |
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>LtracerCLM</span></div><div class='xr-var-dims'>(ocean_time, tracer)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1, 8), meta=np.ndarray></div><input id='attrs-3890d581-30de-4733-ac3a-58aa0a9a2c86' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3890d581-30de-4733-ac3a-58aa0a9a2c86' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0dfc1616-cfbd-478d-8d6f-02c3904a171b' class='xr-var-data-in' type='checkbox'><label for='data-0dfc1616-cfbd-478d-8d6f-02c3904a171b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>flag_meanings :</span></dt><dd>.FALSE. .TRUE.</dd><dt><span>flag_values :</span></dt><dd>[0, 1]</dd><dt><span>long_name :</span></dt><dd>tracer climatology processing switch</dd></dl></div><div class='xr-var-data'><table>\n", | |
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" <tbody>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Bytes </th>\n", | |
" <td> 3.43 MiB </td>\n", | |
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" <td colspan=\"2\"> 112392 chunks in 2 graph layers </td>\n", | |
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" <td> 3.43 MiB </td>\n", | |
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Lwave</span></div><div class='xr-var-dims'>(ocean_time, eta_rho, xi_rho)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(168, 168, 224), meta=np.ndarray></div><input id='attrs-9e42a327-3dd0-42e0-8e42-39c4ffecab3b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9e42a327-3dd0-42e0-8e42-39c4ffecab3b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-864fa307-35cb-4ff4-9133-39b4ff84e573' class='xr-var-data-in' type='checkbox'><label for='data-864fa307-35cb-4ff4-9133-39b4ff84e573' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>field :</span></dt><dd>Lwave, scalar, series</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>face</dd><dt><span>long_name :</span></dt><dd>wind-induced mean wavelength</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>units :</span></dt><dd>meter</dd></dl></div><div class='xr-var-data'><table>\n", | |
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" </thead>\n", | |
" <tbody>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Bytes </th>\n", | |
" <td> 126.05 GiB </td>\n", | |
" <td> 24.12 MiB </td>\n", | |
" </tr>\n", | |
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" <tr>\n", | |
" <th> Shape </th>\n", | |
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" <td> (168, 168, 224) </td>\n", | |
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" <tr>\n", | |
" <th> Dask graph </th>\n", | |
" <td colspan=\"2\"> 5352 chunks in 2 graph layers </td>\n", | |
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Lwavep</span></div><div class='xr-var-dims'>(ocean_time, eta_rho, xi_rho)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(168, 168, 224), meta=np.ndarray></div><input id='attrs-9ecc01c9-e831-400f-ba03-b844a1f9e862' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9ecc01c9-e831-400f-ba03-b844a1f9e862' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f9a435b2-b81f-4a4d-b0fd-edb630ca31be' class='xr-var-data-in' type='checkbox'><label for='data-f9a435b2-b81f-4a4d-b0fd-edb630ca31be' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>field :</span></dt><dd>Lwavep, scalar, series</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>face</dd><dt><span>long_name :</span></dt><dd>wind-induced peak wavelength</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>units :</span></dt><dd>meter</dd></dl></div><div class='xr-var-data'><table>\n", | |
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" <tbody>\n", | |
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" <tr>\n", | |
" <th> Bytes </th>\n", | |
" <td> 126.05 GiB </td>\n", | |
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" <th> Dask graph </th>\n", | |
" <td colspan=\"2\"> 5352 chunks in 2 graph layers </td>\n", | |
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" <td colspan=\"2\"> float32 numpy.ndarray </td>\n", | |
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>M2nudg</span></div><div class='xr-var-dims'>(ocean_time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1,), meta=np.ndarray></div><input id='attrs-24a43b92-4a42-4303-9f31-a1b1546564c5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-24a43b92-4a42-4303-9f31-a1b1546564c5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-07ccfd99-ca18-4cc4-9ffb-b9c5520f3a1e' class='xr-var-data-in' type='checkbox'><label for='data-07ccfd99-ca18-4cc4-9ffb-b9c5520f3a1e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>2D momentum nudging/relaxation inverse time scale</dd><dt><span>units :</span></dt><dd>day-1</dd></dl></div><div class='xr-var-data'><table>\n", | |
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" <tbody>\n", | |
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" <th> Bytes </th>\n", | |
" <td> 878.06 kiB </td>\n", | |
" <td> 8 B </td>\n", | |
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" <tr>\n", | |
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>M2obc_in</span></div><div class='xr-var-dims'>(ocean_time, boundary)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1, 4), meta=np.ndarray></div><input id='attrs-6292ce70-6e70-40ff-b1c5-85101778c5bf' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6292ce70-6e70-40ff-b1c5-85101778c5bf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f7a56826-89c4-44c8-9f0a-bb6e678d0eff' class='xr-var-data-in' type='checkbox'><label for='data-f7a56826-89c4-44c8-9f0a-bb6e678d0eff' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>2D momentum inflow, nudging inverse time scale</dd><dt><span>units :</span></dt><dd>second-1</dd></dl></div><div class='xr-var-data'><table>\n", | |
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" </thead>\n", | |
" <tbody>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Bytes </th>\n", | |
" <td> 3.43 MiB </td>\n", | |
" <td> 32 B </td>\n", | |
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" <tr>\n", | |
" <th> Shape </th>\n", | |
" <td> (112392, 4) </td>\n", | |
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" <tr>\n", | |
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" <td colspan=\"2\"> 112392 chunks in 2 graph layers </td>\n", | |
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" <tr>\n", | |
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>M2obc_out</span></div><div class='xr-var-dims'>(ocean_time, boundary)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1, 4), meta=np.ndarray></div><input id='attrs-23eb8f4b-54f8-4232-9a21-ad71530a9217' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-23eb8f4b-54f8-4232-9a21-ad71530a9217' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3c83ad53-b2f6-4aa5-8d24-31d0dda205b7' class='xr-var-data-in' type='checkbox'><label for='data-3c83ad53-b2f6-4aa5-8d24-31d0dda205b7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>2D momentum outflow, nudging inverse time scale</dd><dt><span>units :</span></dt><dd>second-1</dd></dl></div><div class='xr-var-data'><table>\n", | |
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" <td>\n", | |
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" </thead>\n", | |
" <tbody>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Bytes </th>\n", | |
" <td> 3.43 MiB </td>\n", | |
" <td> 32 B </td>\n", | |
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" \n", | |
" <tr>\n", | |
" <th> Shape </th>\n", | |
" <td> (112392, 4) </td>\n", | |
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" <tr>\n", | |
" <th> Dask graph </th>\n", | |
" <td colspan=\"2\"> 112392 chunks in 2 graph layers </td>\n", | |
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" <tr>\n", | |
" <th> Data type </th>\n", | |
" <td colspan=\"2\"> float64 numpy.ndarray </td>\n", | |
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>M3nudg</span></div><div class='xr-var-dims'>(ocean_time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1,), meta=np.ndarray></div><input id='attrs-e6bdc455-9811-4b95-9c3e-6760abffb426' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e6bdc455-9811-4b95-9c3e-6760abffb426' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-29fbc499-86ae-4bbc-bfb1-c47922bc30d3' class='xr-var-data-in' type='checkbox'><label for='data-29fbc499-86ae-4bbc-bfb1-c47922bc30d3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>3D momentum nudging/relaxation inverse time scale</dd><dt><span>units :</span></dt><dd>day-1</dd></dl></div><div class='xr-var-data'><table>\n", | |
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" </thead>\n", | |
" <tbody>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Bytes </th>\n", | |
" <td> 878.06 kiB </td>\n", | |
" <td> 8 B </td>\n", | |
" </tr>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Shape </th>\n", | |
" <td> (112392,) </td>\n", | |
" <td> (1,) </td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th> Dask graph </th>\n", | |
" <td colspan=\"2\"> 112392 chunks in 2 graph layers </td>\n", | |
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" <tr>\n", | |
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" <td colspan=\"2\"> float64 numpy.ndarray </td>\n", | |
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" \n", | |
" <tr>\n", | |
" <th> Bytes </th>\n", | |
" <td> 3.43 MiB </td>\n", | |
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" \n", | |
" <tr>\n", | |
" <th> Shape </th>\n", | |
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>M3obc_out</span></div><div class='xr-var-dims'>(ocean_time, boundary)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1, 4), meta=np.ndarray></div><input id='attrs-a9f83131-4e6b-4c4a-be33-ae77769e4795' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a9f83131-4e6b-4c4a-be33-ae77769e4795' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9a73cf5b-0181-452e-a14d-c0440c9f11d6' class='xr-var-data-in' type='checkbox'><label for='data-9a73cf5b-0181-452e-a14d-c0440c9f11d6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>3D momentum outflow, nudging inverse time scale</dd><dt><span>units :</span></dt><dd>second-1</dd></dl></div><div class='xr-var-data'><table>\n", | |
" <tr>\n", | |
" <td>\n", | |
" <table style=\"border-collapse: collapse;\">\n", | |
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" <tbody>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Bytes </th>\n", | |
" <td> 3.43 MiB </td>\n", | |
" <td> 32 B </td>\n", | |
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" <tr>\n", | |
" <th> Shape </th>\n", | |
" <td> (112392, 4) </td>\n", | |
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Sd50</span></div><div class='xr-var-dims'>(ocean_time, NST)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1, 6), meta=np.ndarray></div><input id='attrs-f7c9b279-7285-4aff-94bd-3339ca6f37da' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f7c9b279-7285-4aff-94bd-3339ca6f37da' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fb700fdb-32e6-4da2-81c3-45a7dba458fd' class='xr-var-data-in' type='checkbox'><label for='data-fb700fdb-32e6-4da2-81c3-45a7dba458fd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>median sediment grain diameter used in uniform initial conditions</dd><dt><span>units :</span></dt><dd>millimeter</dd></dl></div><div class='xr-var-data'><table>\n", | |
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" </thead>\n", | |
" <tbody>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Bytes </th>\n", | |
" <td> 5.14 MiB </td>\n", | |
" <td> 48 B </td>\n", | |
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" \n", | |
" <tr>\n", | |
" <th> Shape </th>\n", | |
" <td> (112392, 6) </td>\n", | |
" <td> (1, 6) </td>\n", | |
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" <tr>\n", | |
" <th> Dask graph </th>\n", | |
" <td colspan=\"2\"> 112392 chunks in 2 graph layers </td>\n", | |
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" <tr>\n", | |
" <th> Data type </th>\n", | |
" <td colspan=\"2\"> float64 numpy.ndarray </td>\n", | |
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Srho</span></div><div class='xr-var-dims'>(ocean_time, NST)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1, 6), meta=np.ndarray></div><input id='attrs-802d5c6f-3ae9-4fda-a15b-03ff4645b104' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-802d5c6f-3ae9-4fda-a15b-03ff4645b104' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e064c987-00b7-4d4d-8596-63a8beeec8bc' class='xr-var-data-in' type='checkbox'><label for='data-e064c987-00b7-4d4d-8596-63a8beeec8bc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>sediment grain density used in uniform initial conditions</dd><dt><span>units :</span></dt><dd>kilogram meter-3</dd></dl></div><div class='xr-var-data'><table>\n", | |
" <tr>\n", | |
" <td>\n", | |
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" </thead>\n", | |
" <tbody>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Bytes </th>\n", | |
" <td> 5.14 MiB </td>\n", | |
" <td> 48 B </td>\n", | |
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" \n", | |
" <tr>\n", | |
" <th> Shape </th>\n", | |
" <td> (112392, 6) </td>\n", | |
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" <tr>\n", | |
" <th> Dask graph </th>\n", | |
" <td colspan=\"2\"> 112392 chunks in 2 graph layers </td>\n", | |
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" <tr>\n", | |
" <th> Data type </th>\n", | |
" <td colspan=\"2\"> float64 numpy.ndarray </td>\n", | |
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Tcline</span></div><div class='xr-var-dims'>(ocean_time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1,), meta=np.ndarray></div><input id='attrs-988b610b-6975-416c-b5f9-1733d2067c2d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-988b610b-6975-416c-b5f9-1733d2067c2d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-150b5f2a-3aa7-42b0-b68a-780079c6cf89' class='xr-var-data-in' type='checkbox'><label for='data-150b5f2a-3aa7-42b0-b68a-780079c6cf89' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>S-coordinate surface/bottom layer width</dd><dt><span>units :</span></dt><dd>meter</dd></dl></div><div class='xr-var-data'><table>\n", | |
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" <td>\n", | |
" <table style=\"border-collapse: collapse;\">\n", | |
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" </thead>\n", | |
" <tbody>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Bytes </th>\n", | |
" <td> 878.06 kiB </td>\n", | |
" <td> 8 B </td>\n", | |
" </tr>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Shape </th>\n", | |
" <td> (112392,) </td>\n", | |
" <td> (1,) </td>\n", | |
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" <tr>\n", | |
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" <td colspan=\"2\"> 112392 chunks in 2 graph layers </td>\n", | |
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" <tr>\n", | |
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" <tbody>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Bytes </th>\n", | |
" <td> 6.86 MiB </td>\n", | |
" <td> 64 B </td>\n", | |
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" \n", | |
" <tr>\n", | |
" <th> Shape </th>\n", | |
" <td> (112392, 8) </td>\n", | |
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Tnudg_SSS</span></div><div class='xr-var-dims'>(ocean_time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1,), meta=np.ndarray></div><input id='attrs-65f37e98-361e-4006-9567-8e0f503896b0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-65f37e98-361e-4006-9567-8e0f503896b0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e1faca40-e88a-4fb8-835d-7785af9e2fd5' class='xr-var-data-in' type='checkbox'><label for='data-e1faca40-e88a-4fb8-835d-7785af9e2fd5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>SSS nudging/relaxation inverse time scale</dd><dt><span>units :</span></dt><dd>day-1</dd></dl></div><div class='xr-var-data'><table>\n", | |
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" <th> Bytes </th>\n", | |
" <td> 878.06 kiB </td>\n", | |
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" <td> 27.44 MiB </td>\n", | |
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Uwave_rms</span></div><div class='xr-var-dims'>(ocean_time, eta_rho, xi_rho)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(168, 168, 224), meta=np.ndarray></div><input id='attrs-9e3a20f7-784c-4b2c-81a9-a7ef2b214da2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9e3a20f7-784c-4b2c-81a9-a7ef2b214da2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1bd7b823-1d0b-41bd-9bee-6b9012f1bbcf' class='xr-var-data-in' type='checkbox'><label for='data-1bd7b823-1d0b-41bd-9bee-6b9012f1bbcf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>field :</span></dt><dd>Uwave_rms, scalar, series</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>face</dd><dt><span>long_name :</span></dt><dd>wind-induced bottom orbital velocity</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>units :</span></dt><dd>meter second-1</dd></dl></div><div class='xr-var-data'><table>\n", | |
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" </thead>\n", | |
" <tbody>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Bytes </th>\n", | |
" <td> 126.05 GiB </td>\n", | |
" <td> 24.12 MiB </td>\n", | |
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" <tr>\n", | |
" <th> Shape </th>\n", | |
" <td> (112392, 336, 896) </td>\n", | |
" <td> (168, 168, 224) </td>\n", | |
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" <tr>\n", | |
" <th> Dask graph </th>\n", | |
" <td colspan=\"2\"> 5352 chunks in 2 graph layers </td>\n", | |
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" <td colspan=\"2\"> float32 numpy.ndarray </td>\n", | |
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Uwind</span></div><div class='xr-var-dims'>(ocean_time, eta_rho, xi_rho)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(168, 168, 224), meta=np.ndarray></div><input id='attrs-18865724-d697-4b3e-86bb-52037e35f25b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-18865724-d697-4b3e-86bb-52037e35f25b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-76b68a2f-7d41-4f3d-bb31-6fe19703ee73' class='xr-var-data-in' type='checkbox'><label for='data-76b68a2f-7d41-4f3d-bb31-6fe19703ee73' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>field :</span></dt><dd>u-wind, scalar, series</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>face</dd><dt><span>long_name :</span></dt><dd>surface u-wind component</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>units :</span></dt><dd>meter second-1</dd></dl></div><div class='xr-var-data'><table>\n", | |
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" <tbody>\n", | |
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" <tr>\n", | |
" <th> Bytes </th>\n", | |
" <td> 126.05 GiB </td>\n", | |
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" <th> Shape </th>\n", | |
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" <td colspan=\"2\"> float32 numpy.ndarray </td>\n", | |
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" </td>\n", | |
" </tr>\n", | |
"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Vstretching</span></div><div class='xr-var-dims'>(ocean_time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1,), meta=np.ndarray></div><input id='attrs-63f04909-7c83-4499-8534-df82e77a8176' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-63f04909-7c83-4499-8534-df82e77a8176' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-37552c17-d65d-4a54-89b8-775a9c992584' class='xr-var-data-in' type='checkbox'><label for='data-37552c17-d65d-4a54-89b8-775a9c992584' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>vertical terrain-following stretching function</dd></dl></div><div class='xr-var-data'><table>\n", | |
" <tr>\n", | |
" <td>\n", | |
" <table style=\"border-collapse: collapse;\">\n", | |
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" <tr>\n", | |
" <td> </td>\n", | |
" <th> Array </th>\n", | |
" <th> Chunk </th>\n", | |
" </tr>\n", | |
" </thead>\n", | |
" <tbody>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Bytes </th>\n", | |
" <td> 878.06 kiB </td>\n", | |
" <td> 8 B </td>\n", | |
" </tr>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Shape </th>\n", | |
" <td> (112392,) </td>\n", | |
" <td> (1,) </td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th> Dask graph </th>\n", | |
" <td colspan=\"2\"> 112392 chunks in 2 graph layers </td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th> Data type </th>\n", | |
" <td colspan=\"2\"> float64 numpy.ndarray </td>\n", | |
" </tr>\n", | |
" </tbody>\n", | |
" </table>\n", | |
" </td>\n", | |
" <td>\n", | |
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"</svg>\n", | |
" </td>\n", | |
" </tr>\n", | |
"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Vtransform</span></div><div class='xr-var-dims'>(ocean_time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1,), meta=np.ndarray></div><input id='attrs-76a0f2af-aae6-4229-8363-5fee2e21b37b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-76a0f2af-aae6-4229-8363-5fee2e21b37b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5db50b8f-0a7b-4b32-b035-73bb98ab3acb' class='xr-var-data-in' type='checkbox'><label for='data-5db50b8f-0a7b-4b32-b035-73bb98ab3acb' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>vertical terrain-following transformation equation</dd></dl></div><div class='xr-var-data'><table>\n", | |
" <tr>\n", | |
" <td>\n", | |
" <table style=\"border-collapse: collapse;\">\n", | |
" <thead>\n", | |
" <tr>\n", | |
" <td> </td>\n", | |
" <th> Array </th>\n", | |
" <th> Chunk </th>\n", | |
" </tr>\n", | |
" </thead>\n", | |
" <tbody>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Bytes </th>\n", | |
" <td> 878.06 kiB </td>\n", | |
" <td> 8 B </td>\n", | |
" </tr>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Shape </th>\n", | |
" <td> (112392,) </td>\n", | |
" <td> (1,) </td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th> Dask graph </th>\n", | |
" <td colspan=\"2\"> 112392 chunks in 2 graph layers </td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th> Data type </th>\n", | |
" <td colspan=\"2\"> float64 numpy.ndarray </td>\n", | |
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" </table>\n", | |
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Vwind</span></div><div class='xr-var-dims'>(ocean_time, eta_rho, xi_rho)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(168, 168, 224), meta=np.ndarray></div><input id='attrs-7f8b2487-d709-45c8-84f1-bd16e3640ddd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7f8b2487-d709-45c8-84f1-bd16e3640ddd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-80b02c8c-0a04-4be6-af4a-a6c78ecd0d12' class='xr-var-data-in' type='checkbox'><label for='data-80b02c8c-0a04-4be6-af4a-a6c78ecd0d12' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>field :</span></dt><dd>v-wind, scalar, series</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>face</dd><dt><span>long_name :</span></dt><dd>surface v-wind component</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>units :</span></dt><dd>meter second-1</dd></dl></div><div class='xr-var-data'><table>\n", | |
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" <td>\n", | |
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" </tr>\n", | |
" </thead>\n", | |
" <tbody>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Bytes </th>\n", | |
" <td> 126.05 GiB </td>\n", | |
" <td> 24.12 MiB </td>\n", | |
" </tr>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Shape </th>\n", | |
" <td> (112392, 336, 896) </td>\n", | |
" <td> (168, 168, 224) </td>\n", | |
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" <tr>\n", | |
" <th> Dask graph </th>\n", | |
" <td colspan=\"2\"> 5352 chunks in 2 graph layers </td>\n", | |
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" <tr>\n", | |
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" <td colspan=\"2\"> float32 numpy.ndarray </td>\n", | |
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Wsed</span></div><div class='xr-var-dims'>(ocean_time, NST)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1, 6), meta=np.ndarray></div><input id='attrs-a65bb9aa-fe6d-4101-a9e2-d5183ce469fe' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a65bb9aa-fe6d-4101-a9e2-d5183ce469fe' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-62f840ef-c2c5-4a94-8146-74e96401f29b' class='xr-var-data-in' type='checkbox'><label for='data-62f840ef-c2c5-4a94-8146-74e96401f29b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>sediment particle settling velocity</dd><dt><span>units :</span></dt><dd>meter second-1</dd></dl></div><div class='xr-var-data'><table>\n", | |
" <tr>\n", | |
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" <tbody>\n", | |
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" <th> Bytes </th>\n", | |
" <td> 5.14 MiB </td>\n", | |
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" <tr>\n", | |
" <th> Shape </th>\n", | |
" <td> (112392, 6) </td>\n", | |
" <td> (1, 6) </td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th> Dask graph </th>\n", | |
" <td colspan=\"2\"> 112392 chunks in 2 graph layers </td>\n", | |
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" <tr>\n", | |
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" <td colspan=\"2\"> float64 numpy.ndarray </td>\n", | |
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Znudg</span></div><div class='xr-var-dims'>(ocean_time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1,), meta=np.ndarray></div><input id='attrs-470a8a7d-8300-499c-81ab-4f6d5fab83cc' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-470a8a7d-8300-499c-81ab-4f6d5fab83cc' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d66c26c5-3d3f-4783-9f44-b203cd6ec4e0' class='xr-var-data-in' type='checkbox'><label for='data-d66c26c5-3d3f-4783-9f44-b203cd6ec4e0' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>free-surface nudging/relaxation inverse time scale</dd><dt><span>units :</span></dt><dd>day-1</dd></dl></div><div class='xr-var-data'><table>\n", | |
" <tr>\n", | |
" <td>\n", | |
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" <tbody>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Bytes </th>\n", | |
" <td> 878.06 kiB </td>\n", | |
" <td> 8 B </td>\n", | |
" </tr>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Shape </th>\n", | |
" <td> (112392,) </td>\n", | |
" <td> (1,) </td>\n", | |
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" <tr>\n", | |
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" <td colspan=\"2\"> 112392 chunks in 2 graph layers </td>\n", | |
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" <td colspan=\"2\"> float64 numpy.ndarray </td>\n", | |
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Zo_app</span></div><div class='xr-var-dims'>(ocean_time, eta_rho, xi_rho)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(168, 168, 224), meta=np.ndarray></div><input id='attrs-6685b1f5-31d9-48de-8b72-0babcd7ef5c6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6685b1f5-31d9-48de-8b72-0babcd7ef5c6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5040ff18-408b-4f89-a03f-0d9a2eab0b57' class='xr-var-data-in' type='checkbox'><label for='data-5040ff18-408b-4f89-a03f-0d9a2eab0b57' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>field :</span></dt><dd>Zo_app, scalar, series</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>face</dd><dt><span>long_name :</span></dt><dd>apparent bottom roughness length</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>units :</span></dt><dd>meter</dd></dl></div><div class='xr-var-data'><table>\n", | |
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" <tbody>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Bytes </th>\n", | |
" <td> 126.05 GiB </td>\n", | |
" <td> 24.12 MiB </td>\n", | |
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" <tr>\n", | |
" <th> Shape </th>\n", | |
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" <tr>\n", | |
" <th> Dask graph </th>\n", | |
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Zo_def</span></div><div class='xr-var-dims'>(ocean_time, eta_rho, xi_rho)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(168, 168, 224), meta=np.ndarray></div><input id='attrs-d840a905-0d45-40d8-bdae-b3d63e0c345a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d840a905-0d45-40d8-bdae-b3d63e0c345a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cdd816ed-6f94-42ce-8cea-3cb5d912c7f2' class='xr-var-data-in' type='checkbox'><label for='data-cdd816ed-6f94-42ce-8cea-3cb5d912c7f2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>field :</span></dt><dd>Zo_def, scalar, series</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>face</dd><dt><span>long_name :</span></dt><dd>default bottom roughness length</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>units :</span></dt><dd>meter</dd></dl></div><div class='xr-var-data'><table>\n", | |
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" </thead>\n", | |
" <tbody>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Bytes </th>\n", | |
" <td> 126.05 GiB </td>\n", | |
" <td> 24.12 MiB </td>\n", | |
" </tr>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Shape </th>\n", | |
" <td> (112392, 336, 896) </td>\n", | |
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" <tr>\n", | |
" <th> Dask graph </th>\n", | |
" <td colspan=\"2\"> 5352 chunks in 2 graph layers </td>\n", | |
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Zob</span></div><div class='xr-var-dims'>(ocean_time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1,), meta=np.ndarray></div><input id='attrs-745a6557-c3a1-4181-8f6a-a829c63f6bc8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-745a6557-c3a1-4181-8f6a-a829c63f6bc8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-65f2c65a-d0fc-4ab2-8d54-c5f4177a3ed7' class='xr-var-data-in' type='checkbox'><label for='data-65f2c65a-d0fc-4ab2-8d54-c5f4177a3ed7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>bottom roughness</dd><dt><span>units :</span></dt><dd>meter</dd></dl></div><div class='xr-var-data'><table>\n", | |
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Zos</span></div><div class='xr-var-dims'>(ocean_time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1,), meta=np.ndarray></div><input id='attrs-efe7c28d-cdb9-474b-8c3f-e01def5e9b41' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-efe7c28d-cdb9-474b-8c3f-e01def5e9b41' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bcbfe330-fc0b-4f6f-8514-5b3fa9a5d48b' class='xr-var-data-in' type='checkbox'><label for='data-bcbfe330-fc0b-4f6f-8514-5b3fa9a5d48b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>surface roughness</dd><dt><span>units :</span></dt><dd>meter</dd></dl></div><div class='xr-var-data'><table>\n", | |
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>active_layer_thickness</span></div><div class='xr-var-dims'>(ocean_time, eta_rho, xi_rho)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(168, 168, 224), meta=np.ndarray></div><input id='attrs-d4e49f86-0f1e-4c9f-b5df-6d0875537ee0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d4e49f86-0f1e-4c9f-b5df-6d0875537ee0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-98503160-aae0-47ad-8fc0-6fb125b0f826' class='xr-var-data-in' type='checkbox'><label for='data-98503160-aae0-47ad-8fc0-6fb125b0f826' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>field :</span></dt><dd>active_layer_thickness, scalar, series</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>face</dd><dt><span>long_name :</span></dt><dd>active layer thickness</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>units :</span></dt><dd>meter</dd></dl></div><div class='xr-var-data'><table>\n", | |
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" <td>\n", | |
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" </thead>\n", | |
" <tbody>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Bytes </th>\n", | |
" <td> 126.05 GiB </td>\n", | |
" <td> 24.12 MiB </td>\n", | |
" </tr>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Shape </th>\n", | |
" <td> (112392, 336, 896) </td>\n", | |
" <td> (168, 168, 224) </td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th> Dask graph </th>\n", | |
" <td colspan=\"2\"> 5352 chunks in 2 graph layers </td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th> Data type </th>\n", | |
" <td colspan=\"2\"> float32 numpy.ndarray </td>\n", | |
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>angle</span></div><div class='xr-var-dims'>(ocean_time, eta_rho, xi_rho)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1, 168, 224), meta=np.ndarray></div><input id='attrs-2fae23b0-3bc0-41ad-be0b-8d75b4c9c0ab' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2fae23b0-3bc0-41ad-be0b-8d75b4c9c0ab' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a63d0791-8fc9-4ce0-90e5-5a2b8c694fbc' class='xr-var-data-in' type='checkbox'><label for='data-a63d0791-8fc9-4ce0-90e5-5a2b8c694fbc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>field :</span></dt><dd>angle, scalar</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>face</dd><dt><span>long_name :</span></dt><dd>angle between XI-axis and EAST</dd><dt><span>units :</span></dt><dd>radians</dd></dl></div><div class='xr-var-data'><table>\n", | |
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" <th> Chunk </th>\n", | |
" </tr>\n", | |
" </thead>\n", | |
" <tbody>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Bytes </th>\n", | |
" <td> 252.10 GiB </td>\n", | |
" <td> 294.00 kiB </td>\n", | |
" </tr>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Shape </th>\n", | |
" <td> (112392, 336, 896) </td>\n", | |
" <td> (1, 168, 224) </td>\n", | |
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" <tr>\n", | |
" <th> Dask graph </th>\n", | |
" <td colspan=\"2\"> 899136 chunks in 2 graph layers </td>\n", | |
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" <tr>\n", | |
" <th> Data type </th>\n", | |
" <td colspan=\"2\"> float64 numpy.ndarray </td>\n", | |
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>bed_age</span></div><div class='xr-var-dims'>(ocean_time, Nbed, eta_rho, xi_rho)</div><div class='xr-var-dtype'>timedelta64[ns]</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(168, 1, 168, 224), meta=np.ndarray></div><input id='attrs-4250aaaf-4eaa-49be-97fe-dae658f94e7e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4250aaaf-4eaa-49be-97fe-dae658f94e7e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b1084d38-49b1-40c1-ba26-fb24679738db' class='xr-var-data-in' type='checkbox'><label for='data-b1084d38-49b1-40c1-ba26-fb24679738db' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>field :</span></dt><dd>bed_age, scalar, series</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>face</dd><dt><span>long_name :</span></dt><dd>sediment layer age</dd><dt><span>time :</span></dt><dd>ocean_time</dd></dl></div><div class='xr-var-data'><table>\n", | |
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" </thead>\n", | |
" <tbody>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Bytes </th>\n", | |
" <td> 252.10 GiB </td>\n", | |
" <td> 48.23 MiB </td>\n", | |
" </tr>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Shape </th>\n", | |
" <td> (112392, 1, 336, 896) </td>\n", | |
" <td> (168, 1, 168, 224) </td>\n", | |
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" <tr>\n", | |
" <th> Dask graph </th>\n", | |
" <td colspan=\"2\"> 5352 chunks in 2 graph layers </td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th> Data type </th>\n", | |
" <td colspan=\"2\"> timedelta64[ns] numpy.ndarray </td>\n", | |
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>bed_inund_depth</span></div><div class='xr-var-dims'>(ocean_time, eta_rho, xi_rho)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(168, 168, 224), meta=np.ndarray></div><input id='attrs-4282806a-c40d-4738-a51a-e93ab61f45d7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4282806a-c40d-4738-a51a-e93ab61f45d7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-60271706-e711-4654-86a4-2a62bd0c65bf' class='xr-var-data-in' type='checkbox'><label for='data-60271706-e711-4654-86a4-2a62bd0c65bf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>field :</span></dt><dd>bed_inund_depth, scalar, series</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>face</dd><dt><span>long_name :</span></dt><dd>inundation depth</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>units :</span></dt><dd>meter</dd></dl></div><div class='xr-var-data'><table>\n", | |
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" <th> Chunk </th>\n", | |
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" </thead>\n", | |
" <tbody>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Bytes </th>\n", | |
" <td> 126.05 GiB </td>\n", | |
" <td> 24.12 MiB </td>\n", | |
" </tr>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Shape </th>\n", | |
" <td> (112392, 336, 896) </td>\n", | |
" <td> (168, 168, 224) </td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th> Dask graph </th>\n", | |
" <td colspan=\"2\"> 5352 chunks in 2 graph layers </td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th> Data type </th>\n", | |
" <td colspan=\"2\"> float32 numpy.ndarray </td>\n", | |
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>bed_porosity</span></div><div class='xr-var-dims'>(ocean_time, Nbed, eta_rho, xi_rho)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(168, 1, 168, 224), meta=np.ndarray></div><input id='attrs-3cea5175-6174-4b73-ae92-fda5b14c44fa' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3cea5175-6174-4b73-ae92-fda5b14c44fa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-94eecac3-e8e1-475d-a5df-818e80547e56' class='xr-var-data-in' type='checkbox'><label for='data-94eecac3-e8e1-475d-a5df-818e80547e56' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>field :</span></dt><dd>bed_porosity, scalar, series</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>face</dd><dt><span>long_name :</span></dt><dd>sediment layer porosity</dd><dt><span>time :</span></dt><dd>ocean_time</dd></dl></div><div class='xr-var-data'><table>\n", | |
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" <th> Chunk </th>\n", | |
" </tr>\n", | |
" </thead>\n", | |
" <tbody>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Bytes </th>\n", | |
" <td> 126.05 GiB </td>\n", | |
" <td> 24.12 MiB </td>\n", | |
" </tr>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Shape </th>\n", | |
" <td> (112392, 1, 336, 896) </td>\n", | |
" <td> (168, 1, 168, 224) </td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th> Dask graph </th>\n", | |
" <td colspan=\"2\"> 5352 chunks in 2 graph layers </td>\n", | |
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" <tr>\n", | |
" <th> Data type </th>\n", | |
" <td colspan=\"2\"> float32 numpy.ndarray </td>\n", | |
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>bed_thickness</span></div><div class='xr-var-dims'>(ocean_time, Nbed, eta_rho, xi_rho)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(168, 1, 168, 224), meta=np.ndarray></div><input id='attrs-ba5b8c9c-3715-405c-bbba-e7bd38aedbb3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ba5b8c9c-3715-405c-bbba-e7bd38aedbb3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8c15d899-3a77-4272-8636-c7a96c267cfd' class='xr-var-data-in' type='checkbox'><label for='data-8c15d899-3a77-4272-8636-c7a96c267cfd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>field :</span></dt><dd>bed_thickness, scalar, series</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>face</dd><dt><span>long_name :</span></dt><dd>sediment bed layer thickness</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>units :</span></dt><dd>meter</dd></dl></div><div class='xr-var-data'><table>\n", | |
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" </thead>\n", | |
" <tbody>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Bytes </th>\n", | |
" <td> 126.05 GiB </td>\n", | |
" <td> 24.12 MiB </td>\n", | |
" </tr>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Shape </th>\n", | |
" <td> (112392, 1, 336, 896) </td>\n", | |
" <td> (168, 1, 168, 224) </td>\n", | |
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" <tr>\n", | |
" <th> Dask graph </th>\n", | |
" <td colspan=\"2\"> 5352 chunks in 2 graph layers </td>\n", | |
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>bed_wave_amp</span></div><div class='xr-var-dims'>(ocean_time, eta_rho, xi_rho)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(168, 168, 224), meta=np.ndarray></div><input id='attrs-fe6df991-66a1-480c-b503-c29ea38581e8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fe6df991-66a1-480c-b503-c29ea38581e8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-69afe653-2144-4d75-9265-a5c898251d3b' class='xr-var-data-in' type='checkbox'><label for='data-69afe653-2144-4d75-9265-a5c898251d3b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>field :</span></dt><dd>bed_wave_amp, scalar, series</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>face</dd><dt><span>long_name :</span></dt><dd>bed wave excursion amplitude</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>units :</span></dt><dd>meter</dd></dl></div><div class='xr-var-data'><table>\n", | |
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" <tr>\n", | |
" <th> Bytes </th>\n", | |
" <td> 126.05 GiB </td>\n", | |
" <td> 24.12 MiB </td>\n", | |
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>bedload_Usand_01</span></div><div class='xr-var-dims'>(ocean_time, eta_u, xi_u)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(168, 168, 224), meta=np.ndarray></div><input id='attrs-0719aaf4-0180-4217-8428-bb7954d279f0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0719aaf4-0180-4217-8428-bb7954d279f0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-65d59b72-cd49-49e7-b6c2-0b9271065090' class='xr-var-data-in' type='checkbox'><label for='data-65d59b72-cd49-49e7-b6c2-0b9271065090' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>field :</span></dt><dd>bedload_Usand_01, scalar, series</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>edge1</dd><dt><span>long_name :</span></dt><dd>bed load flux of sand in U-direction, size class 01</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>units :</span></dt><dd>kilogram meter-1 s-1</dd></dl></div><div class='xr-var-data'><table>\n", | |
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" <tbody>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Bytes </th>\n", | |
" <td> 125.91 GiB </td>\n", | |
" <td> 24.12 MiB </td>\n", | |
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" <td> (112392, 336, 895) </td>\n", | |
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" <th> Dask graph </th>\n", | |
" <td colspan=\"2\"> 5352 chunks in 2 graph layers </td>\n", | |
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>bedload_Usand_02</span></div><div class='xr-var-dims'>(ocean_time, eta_u, xi_u)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(168, 168, 224), meta=np.ndarray></div><input id='attrs-35eb98fc-537c-4af7-b575-f7e0e142b816' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-35eb98fc-537c-4af7-b575-f7e0e142b816' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1f551909-470f-4671-a1ab-d5c70bfaa642' class='xr-var-data-in' type='checkbox'><label for='data-1f551909-470f-4671-a1ab-d5c70bfaa642' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>field :</span></dt><dd>bedload_Usand_02, scalar, series</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>edge1</dd><dt><span>long_name :</span></dt><dd>bed load flux of sand in U-direction, size class 02</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>units :</span></dt><dd>kilogram meter-1 s-1</dd></dl></div><div class='xr-var-data'><table>\n", | |
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" <td> 125.91 GiB </td>\n", | |
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>bedload_Usand_03</span></div><div class='xr-var-dims'>(ocean_time, eta_u, xi_u)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(168, 168, 224), meta=np.ndarray></div><input id='attrs-f108e559-58a6-4931-b25e-bd3b49dfb13d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f108e559-58a6-4931-b25e-bd3b49dfb13d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1dc5f827-34e1-4af4-8423-020561b09fab' class='xr-var-data-in' type='checkbox'><label for='data-1dc5f827-34e1-4af4-8423-020561b09fab' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>field :</span></dt><dd>bedload_Usand_03, scalar, series</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>edge1</dd><dt><span>long_name :</span></dt><dd>bed load flux of sand in U-direction, size class 03</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>units :</span></dt><dd>kilogram meter-1 s-1</dd></dl></div><div class='xr-var-data'><table>\n", | |
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>bedload_Usand_05</span></div><div class='xr-var-dims'>(ocean_time, eta_u, xi_u)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(168, 168, 224), meta=np.ndarray></div><input id='attrs-8e7d062b-be5e-4a5b-a897-09144d5d90ee' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-8e7d062b-be5e-4a5b-a897-09144d5d90ee' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7bef91a5-d7a8-411f-b8eb-420af074d66b' class='xr-var-data-in' type='checkbox'><label for='data-7bef91a5-d7a8-411f-b8eb-420af074d66b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>field :</span></dt><dd>bedload_Usand_05, scalar, series</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>edge1</dd><dt><span>long_name :</span></dt><dd>bed load flux of sand in U-direction, size class 05</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>units :</span></dt><dd>kilogram meter-1 s-1</dd></dl></div><div class='xr-var-data'><table>\n", | |
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>bedload_Usand_06</span></div><div class='xr-var-dims'>(ocean_time, eta_u, xi_u)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(168, 168, 224), meta=np.ndarray></div><input id='attrs-174aa5ba-0075-4228-8603-ecfe7e19e12e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-174aa5ba-0075-4228-8603-ecfe7e19e12e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8a4f3fbe-0d99-4aa7-b496-738273c5a5a3' class='xr-var-data-in' type='checkbox'><label for='data-8a4f3fbe-0d99-4aa7-b496-738273c5a5a3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>field :</span></dt><dd>bedload_Usand_06, scalar, series</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>edge1</dd><dt><span>long_name :</span></dt><dd>bed load flux of sand in U-direction, size class 06</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>units :</span></dt><dd>kilogram meter-1 s-1</dd></dl></div><div class='xr-var-data'><table>\n", | |
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" \n", | |
" <tr>\n", | |
" <th> Bytes </th>\n", | |
" <td> 125.91 GiB </td>\n", | |
" <td> 24.12 MiB </td>\n", | |
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" <th> Dask graph </th>\n", | |
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>bedload_Vsand_01</span></div><div class='xr-var-dims'>(ocean_time, eta_v, xi_v)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(168, 168, 224), meta=np.ndarray></div><input id='attrs-0297b2c7-0a2c-44c1-a4f2-379b3d0bcec3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0297b2c7-0a2c-44c1-a4f2-379b3d0bcec3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-19e73e92-c62f-4e7e-85fe-1e10a8e370a5' class='xr-var-data-in' type='checkbox'><label for='data-19e73e92-c62f-4e7e-85fe-1e10a8e370a5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>field :</span></dt><dd>bedload_Vsand_01, scalar, series</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>edge2</dd><dt><span>long_name :</span></dt><dd>bed load flux of sand in V-direction, size class 01</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>units :</span></dt><dd>kilogram meter-1 s-1</dd></dl></div><div class='xr-var-data'><table>\n", | |
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" <td> 125.67 GiB </td>\n", | |
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>bedload_Vsand_02</span></div><div class='xr-var-dims'>(ocean_time, eta_v, xi_v)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(168, 168, 224), meta=np.ndarray></div><input id='attrs-e8475165-db65-4085-bf16-d5a15286cb1a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e8475165-db65-4085-bf16-d5a15286cb1a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-00e72e13-1940-447b-86a5-f7de071a0844' class='xr-var-data-in' type='checkbox'><label for='data-00e72e13-1940-447b-86a5-f7de071a0844' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>field :</span></dt><dd>bedload_Vsand_02, scalar, series</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>edge2</dd><dt><span>long_name :</span></dt><dd>bed load flux of sand in V-direction, size class 02</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>units :</span></dt><dd>kilogram meter-1 s-1</dd></dl></div><div class='xr-var-data'><table>\n", | |
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" <tbody>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Bytes </th>\n", | |
" <td> 125.67 GiB </td>\n", | |
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>bedload_Vsand_03</span></div><div class='xr-var-dims'>(ocean_time, eta_v, xi_v)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(168, 168, 224), meta=np.ndarray></div><input id='attrs-d370bdea-2315-4c6b-adb3-5ed432aabbeb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d370bdea-2315-4c6b-adb3-5ed432aabbeb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4cd01f7b-cdb6-498a-bf1e-e317e6802448' class='xr-var-data-in' type='checkbox'><label for='data-4cd01f7b-cdb6-498a-bf1e-e317e6802448' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>field :</span></dt><dd>bedload_Vsand_03, scalar, series</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>edge2</dd><dt><span>long_name :</span></dt><dd>bed load flux of sand in V-direction, size class 03</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>units :</span></dt><dd>kilogram meter-1 s-1</dd></dl></div><div class='xr-var-data'><table>\n", | |
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>bedload_Vsand_04</span></div><div class='xr-var-dims'>(ocean_time, eta_v, xi_v)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(168, 168, 224), meta=np.ndarray></div><input id='attrs-0cc969d8-7214-4fdc-9a63-293fdcbd7e4f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0cc969d8-7214-4fdc-9a63-293fdcbd7e4f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1a334f80-8693-47ee-9042-2cf03a6a8708' class='xr-var-data-in' type='checkbox'><label for='data-1a334f80-8693-47ee-9042-2cf03a6a8708' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>field :</span></dt><dd>bedload_Vsand_04, scalar, series</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>edge2</dd><dt><span>long_name :</span></dt><dd>bed load flux of sand in V-direction, size class 04</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>units :</span></dt><dd>kilogram meter-1 s-1</dd></dl></div><div class='xr-var-data'><table>\n", | |
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>bedload_Vsand_05</span></div><div class='xr-var-dims'>(ocean_time, eta_v, xi_v)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(168, 168, 224), meta=np.ndarray></div><input id='attrs-1d815f4c-6a75-4861-8e83-374af6c73386' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1d815f4c-6a75-4861-8e83-374af6c73386' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-92e7792a-fcb6-418f-8ecc-59b4bce4d2e1' class='xr-var-data-in' type='checkbox'><label for='data-92e7792a-fcb6-418f-8ecc-59b4bce4d2e1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>field :</span></dt><dd>bedload_Vsand_05, scalar, series</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>edge2</dd><dt><span>long_name :</span></dt><dd>bed load flux of sand in V-direction, size class 05</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>units :</span></dt><dd>kilogram meter-1 s-1</dd></dl></div><div class='xr-var-data'><table>\n", | |
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>bedload_coeff</span></div><div class='xr-var-dims'>(ocean_time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1,), meta=np.ndarray></div><input id='attrs-b12fff0e-62b8-449f-9cde-c5fd50d0cee5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b12fff0e-62b8-449f-9cde-c5fd50d0cee5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eccc1d27-9c26-4a64-8721-93dc6a9e418c' class='xr-var-data-in' type='checkbox'><label for='data-eccc1d27-9c26-4a64-8721-93dc6a9e418c' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>bedload transport rate coefficient</dd></dl></div><div class='xr-var-data'><table>\n", | |
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" <th> Bytes </th>\n", | |
" <td> 878.06 kiB </td>\n", | |
" <td> 8 B </td>\n", | |
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" <td> (1,) </td>\n", | |
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>bstrcwmax</span></div><div class='xr-var-dims'>(ocean_time, eta_rho, xi_rho)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(168, 168, 224), meta=np.ndarray></div><input id='attrs-eb5a2b36-5d8f-497f-bd58-32fc6c756829' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-eb5a2b36-5d8f-497f-bd58-32fc6c756829' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9d2120a3-38b0-4fca-ac21-a58692fb6659' class='xr-var-data-in' type='checkbox'><label for='data-9d2120a3-38b0-4fca-ac21-a58692fb6659' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>field :</span></dt><dd>bstrcwmax, scalar, series</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>face</dd><dt><span>long_name :</span></dt><dd>max wave and current bottom stress magnitude</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>units :</span></dt><dd>newton meter-2</dd></dl></div><div class='xr-var-data'><table>\n", | |
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>bustrc</span></div><div class='xr-var-dims'>(ocean_time, eta_rho, xi_rho)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(168, 168, 224), meta=np.ndarray></div><input id='attrs-51b44c9b-efa1-4317-ab1c-cf0e4f0fa9d2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-51b44c9b-efa1-4317-ab1c-cf0e4f0fa9d2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-09c2b80a-39b6-4f57-b891-24fc23a3a176' class='xr-var-data-in' type='checkbox'><label for='data-09c2b80a-39b6-4f57-b891-24fc23a3a176' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>field :</span></dt><dd>bottom u-momentum stress, scalar, series</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>face</dd><dt><span>long_name :</span></dt><dd>current-induced, bottom u-momentum stress</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>units :</span></dt><dd>newton meter-2</dd></dl></div><div class='xr-var-data'><table>\n", | |
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" <th> Bytes </th>\n", | |
" <td> 126.05 GiB </td>\n", | |
" <td> 24.12 MiB </td>\n", | |
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" <th> Dask graph </th>\n", | |
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>bustrw</span></div><div class='xr-var-dims'>(ocean_time, eta_rho, xi_rho)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(168, 168, 224), meta=np.ndarray></div><input id='attrs-f90dcb7a-9c02-420f-a2e6-49b040c29fb6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f90dcb7a-9c02-420f-a2e6-49b040c29fb6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8eb7f498-d8ba-4fe2-941b-bd90a286b5d8' class='xr-var-data-in' type='checkbox'><label for='data-8eb7f498-d8ba-4fe2-941b-bd90a286b5d8' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>field :</span></dt><dd>bottom u-wave stress, scalar, series</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>face</dd><dt><span>long_name :</span></dt><dd>wind-induced, bottom u-momentum stress</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>units :</span></dt><dd>newton meter-2</dd></dl></div><div class='xr-var-data'><table>\n", | |
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" <td> 126.05 GiB </td>\n", | |
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>bvstrc</span></div><div class='xr-var-dims'>(ocean_time, eta_rho, xi_rho)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(168, 168, 224), meta=np.ndarray></div><input id='attrs-b470dc79-7db2-4127-9fd7-35451d0a552d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b470dc79-7db2-4127-9fd7-35451d0a552d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0553439a-44dc-4339-bc1c-cfef03b4f713' class='xr-var-data-in' type='checkbox'><label for='data-0553439a-44dc-4339-bc1c-cfef03b4f713' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>field :</span></dt><dd>bottom v-momentum stress, scalar, series</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>face</dd><dt><span>long_name :</span></dt><dd>current-induced, bottom v-momentum stress</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>units :</span></dt><dd>newton meter-2</dd></dl></div><div class='xr-var-data'><table>\n", | |
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" \n", | |
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" <td> 126.05 GiB </td>\n", | |
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" <tr>\n", | |
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>bvstrw</span></div><div class='xr-var-dims'>(ocean_time, eta_rho, xi_rho)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(168, 168, 224), meta=np.ndarray></div><input id='attrs-033bc03f-3fe1-4410-b560-9081d84b4736' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-033bc03f-3fe1-4410-b560-9081d84b4736' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-78c0c010-4311-4aa3-b4fd-6de8f5978eee' class='xr-var-data-in' type='checkbox'><label for='data-78c0c010-4311-4aa3-b4fd-6de8f5978eee' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>field :</span></dt><dd>bottom v-wave stress, scalar, series</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>face</dd><dt><span>long_name :</span></dt><dd>wind-induced, bottom v-momentum stress</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>units :</span></dt><dd>newton meter-2</dd></dl></div><div class='xr-var-data'><table>\n", | |
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" </thead>\n", | |
" <tbody>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Bytes </th>\n", | |
" <td> 126.05 GiB </td>\n", | |
" <td> 24.12 MiB </td>\n", | |
" </tr>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Shape </th>\n", | |
" <td> (112392, 336, 896) </td>\n", | |
" <td> (168, 168, 224) </td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th> Dask graph </th>\n", | |
" <td colspan=\"2\"> 5352 chunks in 2 graph layers </td>\n", | |
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" <th> Data type </th>\n", | |
" <td colspan=\"2\"> float32 numpy.ndarray </td>\n", | |
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>deflate</span></div><div class='xr-var-dims'>(ocean_time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1,), meta=np.ndarray></div><input id='attrs-c31d5d1c-1f83-4a6e-bc92-e71ef4c778b0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c31d5d1c-1f83-4a6e-bc92-e71ef4c778b0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d3155c9e-ca00-4184-b9e5-846d1932c11f' class='xr-var-data-in' type='checkbox'><label for='data-d3155c9e-ca00-4184-b9e5-846d1932c11f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>NetCDF-4/HDF5 file format deflate filer flag</dd></dl></div><div class='xr-var-data'><table>\n", | |
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" <tbody>\n", | |
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" <th> Bytes </th>\n", | |
" <td> 878.06 kiB </td>\n", | |
" <td> 8 B </td>\n", | |
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" <td> (1,) </td>\n", | |
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" <td colspan=\"2\"> float64 numpy.ndarray </td>\n", | |
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>deflate_level</span></div><div class='xr-var-dims'>(ocean_time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1,), meta=np.ndarray></div><input id='attrs-c46deae5-32fc-4d50-ba98-47e08f6e3aa3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c46deae5-32fc-4d50-ba98-47e08f6e3aa3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5486b720-e3a9-48cc-96bb-5e7611a470a3' class='xr-var-data-in' type='checkbox'><label for='data-5486b720-e3a9-48cc-96bb-5e7611a470a3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>NetCDF-4/HDF5 file format deflate level parameter</dd></dl></div><div class='xr-var-data'><table>\n", | |
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" <td>\n", | |
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" </thead>\n", | |
" <tbody>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Bytes </th>\n", | |
" <td> 878.06 kiB </td>\n", | |
" <td> 8 B </td>\n", | |
" </tr>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Shape </th>\n", | |
" <td> (112392,) </td>\n", | |
" <td> (1,) </td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th> Dask graph </th>\n", | |
" <td colspan=\"2\"> 112392 chunks in 2 graph layers </td>\n", | |
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" <tr>\n", | |
" <th> Data type </th>\n", | |
" <td colspan=\"2\"> float64 numpy.ndarray </td>\n", | |
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>dep_net</span></div><div class='xr-var-dims'>(ocean_time, eta_rho, xi_rho)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(168, 168, 224), meta=np.ndarray></div><input id='attrs-e868705d-85c7-47fe-ae24-dc7c033115d7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e868705d-85c7-47fe-ae24-dc7c033115d7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-26343391-f301-4b23-a48d-3c8f0a338cbf' class='xr-var-data-in' type='checkbox'><label for='data-26343391-f301-4b23-a48d-3c8f0a338cbf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>field :</span></dt><dd>dep_net, scalar, series</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>face</dd><dt><span>long_name :</span></dt><dd>erosion or deposition</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>units :</span></dt><dd>meter</dd></dl></div><div class='xr-var-data'><table>\n", | |
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" </thead>\n", | |
" <tbody>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Bytes </th>\n", | |
" <td> 126.05 GiB </td>\n", | |
" <td> 24.12 MiB </td>\n", | |
" </tr>\n", | |
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" <th> Shape </th>\n", | |
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" <th> Dask graph </th>\n", | |
" <td colspan=\"2\"> 5352 chunks in 2 graph layers </td>\n", | |
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" <td colspan=\"2\"> float32 numpy.ndarray </td>\n", | |
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>dstart</span></div><div class='xr-var-dims'>(ocean_time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1,), meta=np.ndarray></div><input id='attrs-3b598d4c-8616-43a0-8e6f-c8dacd2b5dce' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3b598d4c-8616-43a0-8e6f-c8dacd2b5dce' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0421b62a-a582-47ac-a4f2-8d72dfb1ac21' class='xr-var-data-in' type='checkbox'><label for='data-0421b62a-a582-47ac-a4f2-8d72dfb1ac21' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>time stamp assigned to model initilization</dd></dl></div><div class='xr-var-data'><table>\n", | |
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" </thead>\n", | |
" <tbody>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Bytes </th>\n", | |
" <td> 878.06 kiB </td>\n", | |
" <td> 8 B </td>\n", | |
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" \n", | |
" <tr>\n", | |
" <th> Shape </th>\n", | |
" <td> (112392,) </td>\n", | |
" <td> (1,) </td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th> Dask graph </th>\n", | |
" <td colspan=\"2\"> 112392 chunks in 2 graph layers </td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th> Data type </th>\n", | |
" <td colspan=\"2\"> datetime64[ns] numpy.ndarray </td>\n", | |
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>dt</span></div><div class='xr-var-dims'>(ocean_time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1,), meta=np.ndarray></div><input id='attrs-4e4f468c-10ed-4d43-9b65-c2df3ac82947' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4e4f468c-10ed-4d43-9b65-c2df3ac82947' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-94d16a87-cf90-4807-94d5-193f42ad1de3' class='xr-var-data-in' type='checkbox'><label for='data-94d16a87-cf90-4807-94d5-193f42ad1de3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>size of long time-steps</dd><dt><span>units :</span></dt><dd>second</dd></dl></div><div class='xr-var-data'><table>\n", | |
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" </thead>\n", | |
" <tbody>\n", | |
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" <th> Bytes </th>\n", | |
" <td> 878.06 kiB </td>\n", | |
" <td> 8 B </td>\n", | |
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" \n", | |
" <tr>\n", | |
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" <td> (112392,) </td>\n", | |
" <td> (1,) </td>\n", | |
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" <tr>\n", | |
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" <td colspan=\"2\"> 112392 chunks in 2 graph layers </td>\n", | |
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" <tr>\n", | |
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" <td colspan=\"2\"> float64 numpy.ndarray </td>\n", | |
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>dtfast</span></div><div class='xr-var-dims'>(ocean_time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1,), meta=np.ndarray></div><input id='attrs-ac7258f0-14ab-44ce-86c8-4f2ba96da1fd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ac7258f0-14ab-44ce-86c8-4f2ba96da1fd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-28eb98f3-e2d3-4733-b31d-b5d2cec6ab88' class='xr-var-data-in' type='checkbox'><label for='data-28eb98f3-e2d3-4733-b31d-b5d2cec6ab88' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>size of short time-steps</dd><dt><span>units :</span></dt><dd>second</dd></dl></div><div class='xr-var-data'><table>\n", | |
" <tr>\n", | |
" <td>\n", | |
" <table style=\"border-collapse: collapse;\">\n", | |
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" <tr>\n", | |
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" <th> Array </th>\n", | |
" <th> Chunk </th>\n", | |
" </tr>\n", | |
" </thead>\n", | |
" <tbody>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Bytes </th>\n", | |
" <td> 878.06 kiB </td>\n", | |
" <td> 8 B </td>\n", | |
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" \n", | |
" <tr>\n", | |
" <th> Shape </th>\n", | |
" <td> (112392,) </td>\n", | |
" <td> (1,) </td>\n", | |
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" <tr>\n", | |
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" <td colspan=\"2\"> 112392 chunks in 2 graph layers </td>\n", | |
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" <th> Data type </th>\n", | |
" <td colspan=\"2\"> float64 numpy.ndarray </td>\n", | |
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>el</span></div><div class='xr-var-dims'>(ocean_time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1,), meta=np.ndarray></div><input id='attrs-67166eaf-c5ea-46f0-b69f-ce2c6acd9550' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-67166eaf-c5ea-46f0-b69f-ce2c6acd9550' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-db88f5a2-37b5-4e9f-97d0-0a46c9d88192' class='xr-var-data-in' type='checkbox'><label for='data-db88f5a2-37b5-4e9f-97d0-0a46c9d88192' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>domain length in the ETA-direction</dd><dt><span>units :</span></dt><dd>meter</dd></dl></div><div class='xr-var-data'><table>\n", | |
" <tr>\n", | |
" <td>\n", | |
" <table style=\"border-collapse: collapse;\">\n", | |
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" <th> Chunk </th>\n", | |
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" </thead>\n", | |
" <tbody>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Bytes </th>\n", | |
" <td> 878.06 kiB </td>\n", | |
" <td> 8 B </td>\n", | |
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" \n", | |
" <tr>\n", | |
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" <td> (112392,) </td>\n", | |
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" <tr>\n", | |
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" <td colspan=\"2\"> 112392 chunks in 2 graph layers </td>\n", | |
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" <td colspan=\"2\"> float64 numpy.ndarray </td>\n", | |
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>erosion_stress</span></div><div class='xr-var-dims'>(ocean_time, eta_rho, xi_rho)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(168, 168, 224), meta=np.ndarray></div><input id='attrs-28af669f-0330-497d-94a3-83d416063544' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-28af669f-0330-497d-94a3-83d416063544' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4639e532-d4ff-493e-99e0-222cdfa01a00' class='xr-var-data-in' type='checkbox'><label for='data-4639e532-d4ff-493e-99e0-222cdfa01a00' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>field :</span></dt><dd>erosion_stress, scalar, series</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>face</dd><dt><span>long_name :</span></dt><dd>sediment median critical erosion stress</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>units :</span></dt><dd>newton meter-2</dd></dl></div><div class='xr-var-data'><table>\n", | |
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" <tbody>\n", | |
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" <tr>\n", | |
" <th> Bytes </th>\n", | |
" <td> 126.05 GiB </td>\n", | |
" <td> 24.12 MiB </td>\n", | |
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>evaporation</span></div><div class='xr-var-dims'>(ocean_time, eta_rho, xi_rho)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(168, 168, 224), meta=np.ndarray></div><input id='attrs-db7fe540-8226-4d30-a423-e69fdc33352e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-db7fe540-8226-4d30-a423-e69fdc33352e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-11994fee-18a4-4f5a-b690-afc18c181032' class='xr-var-data-in' type='checkbox'><label for='data-11994fee-18a4-4f5a-b690-afc18c181032' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>field :</span></dt><dd>evaporation, scalar, series</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>face</dd><dt><span>long_name :</span></dt><dd>evaporation rate</dd><dt><span>negative_value :</span></dt><dd>downward flux, freshening (condensation)</dd><dt><span>positive_value :</span></dt><dd>upward flux, salting (evaporation)</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>units :</span></dt><dd>kilogram meter-2 second-1</dd></dl></div><div class='xr-var-data'><table>\n", | |
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" </thead>\n", | |
" <tbody>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Bytes </th>\n", | |
" <td> 126.05 GiB </td>\n", | |
" <td> 24.12 MiB </td>\n", | |
" </tr>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Shape </th>\n", | |
" <td> (112392, 336, 896) </td>\n", | |
" <td> (168, 168, 224) </td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th> Dask graph </th>\n", | |
" <td colspan=\"2\"> 5352 chunks in 2 graph layers </td>\n", | |
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" <th> Data type </th>\n", | |
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>f</span></div><div class='xr-var-dims'>(ocean_time, eta_rho, xi_rho)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1, 168, 224), meta=np.ndarray></div><input id='attrs-ec354227-2339-4919-8e67-99223ee57840' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ec354227-2339-4919-8e67-99223ee57840' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-826a1b0c-3761-40e6-aa13-bc5c0e7dc48a' class='xr-var-data-in' type='checkbox'><label for='data-826a1b0c-3761-40e6-aa13-bc5c0e7dc48a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>field :</span></dt><dd>coriolis, scalar</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>face</dd><dt><span>long_name :</span></dt><dd>Coriolis parameter at RHO-points</dd><dt><span>units :</span></dt><dd>second-1</dd></dl></div><div class='xr-var-data'><table>\n", | |
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" <tbody>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Bytes </th>\n", | |
" <td> 252.10 GiB </td>\n", | |
" <td> 294.00 kiB </td>\n", | |
" </tr>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Shape </th>\n", | |
" <td> (112392, 336, 896) </td>\n", | |
" <td> (1, 168, 224) </td>\n", | |
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" <th> Dask graph </th>\n", | |
" <td colspan=\"2\"> 899136 chunks in 2 graph layers </td>\n", | |
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" <td colspan=\"2\"> float64 numpy.ndarray </td>\n", | |
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gamma2</span></div><div class='xr-var-dims'>(ocean_time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1,), meta=np.ndarray></div><input id='attrs-da402350-e910-4532-8268-d310ca1a4ee9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-da402350-e910-4532-8268-d310ca1a4ee9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b342c180-63c6-4875-836d-2f02a57b2fa5' class='xr-var-data-in' type='checkbox'><label for='data-b342c180-63c6-4875-836d-2f02a57b2fa5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>slipperiness parameter</dd></dl></div><div class='xr-var-data'><table>\n", | |
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" <tbody>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Bytes </th>\n", | |
" <td> 878.06 kiB </td>\n", | |
" <td> 8 B </td>\n", | |
" </tr>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Shape </th>\n", | |
" <td> (112392,) </td>\n", | |
" <td> (1,) </td>\n", | |
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" <tr>\n", | |
" <th> Dask graph </th>\n", | |
" <td colspan=\"2\"> 112392 chunks in 2 graph layers </td>\n", | |
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" <tr>\n", | |
" <th> Data type </th>\n", | |
" <td colspan=\"2\"> float64 numpy.ndarray </td>\n", | |
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" <td> 878.06 kiB </td>\n", | |
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gls_c1</span></div><div class='xr-var-dims'>(ocean_time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1,), meta=np.ndarray></div><input id='attrs-21e539be-ea98-4e9d-bb8f-54ee78a61216' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-21e539be-ea98-4e9d-bb8f-54ee78a61216' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3415e787-f42e-4345-ac0a-d662f90a889a' class='xr-var-data-in' type='checkbox'><label for='data-3415e787-f42e-4345-ac0a-d662f90a889a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>shear production coefficient</dd></dl></div><div class='xr-var-data'><table>\n", | |
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" \n", | |
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" <td> 878.06 kiB </td>\n", | |
" <td> 8 B </td>\n", | |
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gls_cmu0</span></div><div class='xr-var-dims'>(ocean_time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1,), meta=np.ndarray></div><input id='attrs-24761f5d-c9d7-451c-993d-73f9feb3ecec' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-24761f5d-c9d7-451c-993d-73f9feb3ecec' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-cf11b90d-6e44-47e5-b4be-40d8ac85683d' class='xr-var-data-in' type='checkbox'><label for='data-cf11b90d-6e44-47e5-b4be-40d8ac85683d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>stability coefficient</dd></dl></div><div class='xr-var-data'><table>\n", | |
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" <tbody>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Bytes </th>\n", | |
" <td> 878.06 kiB </td>\n", | |
" <td> 8 B </td>\n", | |
" </tr>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Shape </th>\n", | |
" <td> (112392,) </td>\n", | |
" <td> (1,) </td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th> Dask graph </th>\n", | |
" <td colspan=\"2\"> 112392 chunks in 2 graph layers </td>\n", | |
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" <tr>\n", | |
" <th> Data type </th>\n", | |
" <td colspan=\"2\"> float64 numpy.ndarray </td>\n", | |
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gls_p</span></div><div class='xr-var-dims'>(ocean_time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1,), meta=np.ndarray></div><input id='attrs-353cc9c5-db36-431e-a803-cfa8206b6ea0' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-353cc9c5-db36-431e-a803-cfa8206b6ea0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f872ad86-c588-442a-904b-9b44bdaf1897' class='xr-var-data-in' type='checkbox'><label for='data-f872ad86-c588-442a-904b-9b44bdaf1897' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>stability exponent</dd></dl></div><div class='xr-var-data'><table>\n", | |
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" <tbody>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Bytes </th>\n", | |
" <td> 878.06 kiB </td>\n", | |
" <td> 8 B </td>\n", | |
" </tr>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Shape </th>\n", | |
" <td> (112392,) </td>\n", | |
" <td> (1,) </td>\n", | |
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" <tr>\n", | |
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" <td colspan=\"2\"> 112392 chunks in 2 graph layers </td>\n", | |
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" <td colspan=\"2\"> float64 numpy.ndarray </td>\n", | |
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gls_sigk</span></div><div class='xr-var-dims'>(ocean_time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1,), meta=np.ndarray></div><input id='attrs-05bde59c-0f93-4d0c-88df-920be7f8af83' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-05bde59c-0f93-4d0c-88df-920be7f8af83' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-217afa66-e49b-4b80-9d6b-00287f869aaa' class='xr-var-data-in' type='checkbox'><label for='data-217afa66-e49b-4b80-9d6b-00287f869aaa' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>constant Schmidt number for TKE</dd></dl></div><div class='xr-var-data'><table>\n", | |
" <tr>\n", | |
" <td>\n", | |
" <table style=\"border-collapse: collapse;\">\n", | |
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" </tr>\n", | |
" </thead>\n", | |
" <tbody>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Bytes </th>\n", | |
" <td> 878.06 kiB </td>\n", | |
" <td> 8 B </td>\n", | |
" </tr>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Shape </th>\n", | |
" <td> (112392,) </td>\n", | |
" <td> (1,) </td>\n", | |
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" <tr>\n", | |
" <th> Dask graph </th>\n", | |
" <td colspan=\"2\"> 112392 chunks in 2 graph layers </td>\n", | |
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" <tr>\n", | |
" <th> Data type </th>\n", | |
" <td colspan=\"2\"> float64 numpy.ndarray </td>\n", | |
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>gls_sigp</span></div><div class='xr-var-dims'>(ocean_time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1,), meta=np.ndarray></div><input id='attrs-b126b5c3-4f5f-46be-877d-b1ebbb9ae232' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b126b5c3-4f5f-46be-877d-b1ebbb9ae232' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ae9cf7a9-02e2-4c49-8ee4-8af413f8e832' class='xr-var-data-in' type='checkbox'><label for='data-ae9cf7a9-02e2-4c49-8ee4-8af413f8e832' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>constant Schmidt number for PSI</dd></dl></div><div class='xr-var-data'><table>\n", | |
" <tr>\n", | |
" <td>\n", | |
" <table style=\"border-collapse: collapse;\">\n", | |
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" </tr>\n", | |
" </thead>\n", | |
" <tbody>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Bytes </th>\n", | |
" <td> 878.06 kiB </td>\n", | |
" <td> 8 B </td>\n", | |
" </tr>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Shape </th>\n", | |
" <td> (112392,) </td>\n", | |
" <td> (1,) </td>\n", | |
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" <tr>\n", | |
" <th> Dask graph </th>\n", | |
" <td colspan=\"2\"> 112392 chunks in 2 graph layers </td>\n", | |
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" <th> Data type </th>\n", | |
" <td colspan=\"2\"> float64 numpy.ndarray </td>\n", | |
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>grain_density</span></div><div class='xr-var-dims'>(ocean_time, eta_rho, xi_rho)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(168, 168, 224), meta=np.ndarray></div><input id='attrs-b702d096-86af-4527-aefd-1f8111f79572' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b702d096-86af-4527-aefd-1f8111f79572' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ddc02f92-adc5-42b2-ad7d-27ea961c179f' class='xr-var-data-in' type='checkbox'><label for='data-ddc02f92-adc5-42b2-ad7d-27ea961c179f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>field :</span></dt><dd>grain_density, scalar, series</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>face</dd><dt><span>long_name :</span></dt><dd>sediment median grain density</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>units :</span></dt><dd>kilogram meter3</dd></dl></div><div class='xr-var-data'><table>\n", | |
" <tr>\n", | |
" <td>\n", | |
" <table style=\"border-collapse: collapse;\">\n", | |
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" <tbody>\n", | |
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" <th> Bytes </th>\n", | |
" <td> 126.05 GiB </td>\n", | |
" <td> 24.12 MiB </td>\n", | |
" </tr>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Shape </th>\n", | |
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" <td> (168, 168, 224) </td>\n", | |
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" <tr>\n", | |
" <th> Dask graph </th>\n", | |
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>grain_diameter</span></div><div class='xr-var-dims'>(ocean_time, eta_rho, xi_rho)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(168, 168, 224), meta=np.ndarray></div><input id='attrs-f9313628-6dce-4a06-9ef4-f1eee9387d00' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f9313628-6dce-4a06-9ef4-f1eee9387d00' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-437d1433-b89b-45f3-8224-4cffca40899e' class='xr-var-data-in' type='checkbox'><label for='data-437d1433-b89b-45f3-8224-4cffca40899e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>field :</span></dt><dd>grain_diameter, scalar, series</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>face</dd><dt><span>long_name :</span></dt><dd>sediment median grain diameter size</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>units :</span></dt><dd>meter</dd></dl></div><div class='xr-var-data'><table>\n", | |
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" </tr>\n", | |
" </thead>\n", | |
" <tbody>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Bytes </th>\n", | |
" <td> 126.05 GiB </td>\n", | |
" <td> 24.12 MiB </td>\n", | |
" </tr>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Shape </th>\n", | |
" <td> (112392, 336, 896) </td>\n", | |
" <td> (168, 168, 224) </td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th> Dask graph </th>\n", | |
" <td colspan=\"2\"> 5352 chunks in 2 graph layers </td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th> Data type </th>\n", | |
" <td colspan=\"2\"> float32 numpy.ndarray </td>\n", | |
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>grid</span></div><div class='xr-var-dims'>(ocean_time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1,), meta=np.ndarray></div><input id='attrs-47a9132c-e55c-473e-9394-5063c7bc2fec' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-47a9132c-e55c-473e-9394-5063c7bc2fec' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-87430008-1fe4-42cd-90b1-6d3b501e36a7' class='xr-var-data-in' type='checkbox'><label for='data-87430008-1fe4-42cd-90b1-6d3b501e36a7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cf_role :</span></dt><dd>grid_topology</dd><dt><span>edge1_coordinates :</span></dt><dd>lon_u lat_u</dd><dt><span>edge1_dimensions :</span></dt><dd>xi_u: xi_psi eta_u: eta_psi (padding: both)</dd><dt><span>edge2_coordinates :</span></dt><dd>lon_v lat_v</dd><dt><span>edge2_dimensions :</span></dt><dd>xi_v: xi_psi (padding: both) eta_v: eta_psi</dd><dt><span>face_coordinates :</span></dt><dd>lon_rho lat_rho</dd><dt><span>face_dimensions :</span></dt><dd>xi_rho: xi_psi (padding: both) eta_rho: eta_psi (padding: both)</dd><dt><span>node_coordinates :</span></dt><dd>lon_psi lat_psi</dd><dt><span>node_dimensions :</span></dt><dd>xi_psi eta_psi</dd><dt><span>topology_dimension :</span></dt><dd>2</dd><dt><span>vertical_dimensions :</span></dt><dd>s_rho: s_w (padding: none)</dd></dl></div><div class='xr-var-data'><table>\n", | |
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" </thead>\n", | |
" <tbody>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Bytes </th>\n", | |
" <td> 878.06 kiB </td>\n", | |
" <td> 8 B </td>\n", | |
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" \n", | |
" <tr>\n", | |
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" <td> (112392,) </td>\n", | |
" <td> (1,) </td>\n", | |
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>h</span></div><div class='xr-var-dims'>(ocean_time, eta_rho, xi_rho)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1, 168, 224), meta=np.ndarray></div><input id='attrs-94fde488-009c-427a-92f6-b5fe0c50190e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-94fde488-009c-427a-92f6-b5fe0c50190e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f34bbfae-2831-4773-a045-9d0229909c50' class='xr-var-data-in' type='checkbox'><label for='data-f34bbfae-2831-4773-a045-9d0229909c50' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>field :</span></dt><dd>bath, scalar</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>face</dd><dt><span>long_name :</span></dt><dd>bathymetry at RHO-points</dd><dt><span>units :</span></dt><dd>meter</dd></dl></div><div class='xr-var-data'><table>\n", | |
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" <tr>\n", | |
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" <td> 252.10 GiB </td>\n", | |
" <td> 294.00 kiB </td>\n", | |
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" <th> Dask graph </th>\n", | |
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>hc</span></div><div class='xr-var-dims'>(ocean_time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1,), meta=np.ndarray></div><input id='attrs-6e496c18-b69f-4a79-be3e-c19121a1c35b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6e496c18-b69f-4a79-be3e-c19121a1c35b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-264e7711-1a3a-41f2-9e8b-a2ef70345c13' class='xr-var-data-in' type='checkbox'><label for='data-264e7711-1a3a-41f2-9e8b-a2ef70345c13' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>S-coordinate parameter, critical depth</dd><dt><span>units :</span></dt><dd>meter</dd></dl></div><div class='xr-var-data'><table>\n", | |
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" <tbody>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Bytes </th>\n", | |
" <td> 878.06 kiB </td>\n", | |
" <td> 8 B </td>\n", | |
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" \n", | |
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" <td colspan=\"2\"> float64 numpy.ndarray </td>\n", | |
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>latent</span></div><div class='xr-var-dims'>(ocean_time, eta_rho, xi_rho)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(168, 168, 224), meta=np.ndarray></div><input id='attrs-e89b0bd5-c412-4e1d-8db8-b812218f833a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e89b0bd5-c412-4e1d-8db8-b812218f833a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0b0cfa1d-96e6-4aaa-bcec-8bdb31fc3d4e' class='xr-var-data-in' type='checkbox'><label for='data-0b0cfa1d-96e6-4aaa-bcec-8bdb31fc3d4e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>field :</span></dt><dd>latent heat flux, scalar, series</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>face</dd><dt><span>long_name :</span></dt><dd>net latent heat flux</dd><dt><span>negative_value :</span></dt><dd>upward flux, cooling</dd><dt><span>positive_value :</span></dt><dd>downward flux, heating</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>units :</span></dt><dd>watt meter-2</dd></dl></div><div class='xr-var-data'><table>\n", | |
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" </thead>\n", | |
" <tbody>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Bytes </th>\n", | |
" <td> 126.05 GiB </td>\n", | |
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lwrad</span></div><div class='xr-var-dims'>(ocean_time, eta_rho, xi_rho)</div><div class='xr-var-dtype'>float32</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(168, 168, 224), meta=np.ndarray></div><input id='attrs-244dcfba-d9e2-47d6-a55d-49bab26f898e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-244dcfba-d9e2-47d6-a55d-49bab26f898e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fea75cf5-1e4b-40ea-b2ae-9ef0052a5b34' class='xr-var-data-in' type='checkbox'><label for='data-fea75cf5-1e4b-40ea-b2ae-9ef0052a5b34' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>field :</span></dt><dd>longwave radiation, scalar, series</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>face</dd><dt><span>long_name :</span></dt><dd>net longwave radiation flux</dd><dt><span>negative_value :</span></dt><dd>upward flux, cooling</dd><dt><span>positive_value :</span></dt><dd>downward flux, heating</dd><dt><span>time :</span></dt><dd>ocean_time</dd><dt><span>units :</span></dt><dd>watt meter-2</dd></dl></div><div class='xr-var-data'><table>\n", | |
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" </thead>\n", | |
" <tbody>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Bytes </th>\n", | |
" <td> 126.05 GiB </td>\n", | |
" <td> 24.12 MiB </td>\n", | |
" </tr>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Shape </th>\n", | |
" <td> (112392, 336, 896) </td>\n", | |
" <td> (168, 168, 224) </td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th> Dask graph </th>\n", | |
" <td colspan=\"2\"> 5352 chunks in 2 graph layers </td>\n", | |
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" <th> Data type </th>\n", | |
" <td colspan=\"2\"> float32 numpy.ndarray </td>\n", | |
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mask_psi</span></div><div class='xr-var-dims'>(ocean_time, eta_psi, xi_psi)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1, 168, 224), meta=np.ndarray></div><input id='attrs-0cb9a83a-7f7f-4c23-814a-d5fea87e52e3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0cb9a83a-7f7f-4c23-814a-d5fea87e52e3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b8936b48-c9a4-48fc-9179-dc692af1dbc7' class='xr-var-data-in' type='checkbox'><label for='data-b8936b48-c9a4-48fc-9179-dc692af1dbc7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>flag_meanings :</span></dt><dd>land water</dd><dt><span>flag_values :</span></dt><dd>[0.0, 1.0]</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>node</dd><dt><span>long_name :</span></dt><dd>mask on psi-points</dd></dl></div><div class='xr-var-data'><table>\n", | |
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" \n", | |
" <tr>\n", | |
" <th> Bytes </th>\n", | |
" <td> 251.07 GiB </td>\n", | |
" <td> 294.00 kiB </td>\n", | |
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" <th> Shape </th>\n", | |
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" <td colspan=\"2\"> float64 numpy.ndarray </td>\n", | |
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mask_rho</span></div><div class='xr-var-dims'>(ocean_time, eta_rho, xi_rho)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1, 168, 224), meta=np.ndarray></div><input id='attrs-7c91b848-ca08-4de1-99c3-31a09841add8' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7c91b848-ca08-4de1-99c3-31a09841add8' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5a2e7b10-4ccb-4c74-b1fc-552bfdd34b02' class='xr-var-data-in' type='checkbox'><label for='data-5a2e7b10-4ccb-4c74-b1fc-552bfdd34b02' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>flag_meanings :</span></dt><dd>land water</dd><dt><span>flag_values :</span></dt><dd>[0.0, 1.0]</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>face</dd><dt><span>long_name :</span></dt><dd>mask on RHO-points</dd></dl></div><div class='xr-var-data'><table>\n", | |
" <tr>\n", | |
" <td>\n", | |
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" <thead>\n", | |
" <tr>\n", | |
" <td> </td>\n", | |
" <th> Array </th>\n", | |
" <th> Chunk </th>\n", | |
" </tr>\n", | |
" </thead>\n", | |
" <tbody>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Bytes </th>\n", | |
" <td> 252.10 GiB </td>\n", | |
" <td> 294.00 kiB </td>\n", | |
" </tr>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Shape </th>\n", | |
" <td> (112392, 336, 896) </td>\n", | |
" <td> (1, 168, 224) </td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th> Dask graph </th>\n", | |
" <td colspan=\"2\"> 899136 chunks in 2 graph layers </td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th> Data type </th>\n", | |
" <td colspan=\"2\"> float64 numpy.ndarray </td>\n", | |
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" </tbody>\n", | |
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mask_u</span></div><div class='xr-var-dims'>(ocean_time, eta_u, xi_u)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1, 168, 224), meta=np.ndarray></div><input id='attrs-89759fc3-bb79-4a97-8cd1-adc63c46bdeb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-89759fc3-bb79-4a97-8cd1-adc63c46bdeb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2115451e-8193-4185-add0-529423cbd31e' class='xr-var-data-in' type='checkbox'><label for='data-2115451e-8193-4185-add0-529423cbd31e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>flag_meanings :</span></dt><dd>land water</dd><dt><span>flag_values :</span></dt><dd>[0.0, 1.0]</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>edge1</dd><dt><span>long_name :</span></dt><dd>mask on U-points</dd></dl></div><div class='xr-var-data'><table>\n", | |
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" </tr>\n", | |
" </thead>\n", | |
" <tbody>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Bytes </th>\n", | |
" <td> 251.82 GiB </td>\n", | |
" <td> 294.00 kiB </td>\n", | |
" </tr>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Shape </th>\n", | |
" <td> (112392, 336, 895) </td>\n", | |
" <td> (1, 168, 224) </td>\n", | |
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" <tr>\n", | |
" <th> Dask graph </th>\n", | |
" <td colspan=\"2\"> 899136 chunks in 2 graph layers </td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th> Data type </th>\n", | |
" <td colspan=\"2\"> float64 numpy.ndarray </td>\n", | |
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>mask_v</span></div><div class='xr-var-dims'>(ocean_time, eta_v, xi_v)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1, 168, 224), meta=np.ndarray></div><input id='attrs-4f58eef8-b71c-41ec-8c02-b9a2a22b14a3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4f58eef8-b71c-41ec-8c02-b9a2a22b14a3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c781afc3-8422-4368-9b11-1d6f90cce662' class='xr-var-data-in' type='checkbox'><label for='data-c781afc3-8422-4368-9b11-1d6f90cce662' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>flag_meanings :</span></dt><dd>land water</dd><dt><span>flag_values :</span></dt><dd>[0.0, 1.0]</dd><dt><span>grid :</span></dt><dd>grid</dd><dt><span>location :</span></dt><dd>edge2</dd><dt><span>long_name :</span></dt><dd>mask on V-points</dd></dl></div><div class='xr-var-data'><table>\n", | |
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" </tr>\n", | |
" </thead>\n", | |
" <tbody>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Bytes </th>\n", | |
" <td> 251.35 GiB </td>\n", | |
" <td> 294.00 kiB </td>\n", | |
" </tr>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Shape </th>\n", | |
" <td> (112392, 335, 896) </td>\n", | |
" <td> (1, 168, 224) </td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th> Dask graph </th>\n", | |
" <td colspan=\"2\"> 899136 chunks in 2 graph layers </td>\n", | |
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" <td colspan=\"2\"> float64 numpy.ndarray </td>\n", | |
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>minlayer_thick</span></div><div class='xr-var-dims'>(ocean_time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1,), meta=np.ndarray></div><input id='attrs-6856d791-dda7-4744-aad2-6661b1a43a18' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6856d791-dda7-4744-aad2-6661b1a43a18' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b4f0bb3a-7fe8-42de-90b5-ab1f7e08f524' class='xr-var-data-in' type='checkbox'><label for='data-b4f0bb3a-7fe8-42de-90b5-ab1f7e08f524' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>depositional bed layer minimum thickness</dd><dt><span>units :</span></dt><dd>meter</dd></dl></div><div class='xr-var-data'><table>\n", | |
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" <td>\n", | |
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" </thead>\n", | |
" <tbody>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Bytes </th>\n", | |
" <td> 878.06 kiB </td>\n", | |
" <td> 8 B </td>\n", | |
" </tr>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Shape </th>\n", | |
" <td> (112392,) </td>\n", | |
" <td> (1,) </td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th> Dask graph </th>\n", | |
" <td colspan=\"2\"> 112392 chunks in 2 graph layers </td>\n", | |
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" <tr>\n", | |
" <th> Data type </th>\n", | |
" <td colspan=\"2\"> float64 numpy.ndarray </td>\n", | |
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nHIS</span></div><div class='xr-var-dims'>(ocean_time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1,), meta=np.ndarray></div><input id='attrs-6efbad91-491a-439b-b420-fb979e557689' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6efbad91-491a-439b-b420-fb979e557689' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eb54dab6-3054-4b81-8f02-d7fc9cabe4c1' class='xr-var-data-in' type='checkbox'><label for='data-eb54dab6-3054-4b81-8f02-d7fc9cabe4c1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>number of time-steps between history records</dd></dl></div><div class='xr-var-data'><table>\n", | |
" <tr>\n", | |
" <td>\n", | |
" <table style=\"border-collapse: collapse;\">\n", | |
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" </thead>\n", | |
" <tbody>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Bytes </th>\n", | |
" <td> 878.06 kiB </td>\n", | |
" <td> 8 B </td>\n", | |
" </tr>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Shape </th>\n", | |
" <td> (112392,) </td>\n", | |
" <td> (1,) </td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th> Dask graph </th>\n", | |
" <td colspan=\"2\"> 112392 chunks in 2 graph layers </td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th> Data type </th>\n", | |
" <td colspan=\"2\"> float64 numpy.ndarray </td>\n", | |
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"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>nRST</span></div><div class='xr-var-dims'>(ocean_time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1,), meta=np.ndarray></div><input id='attrs-fe8c1828-71c3-4a74-84cc-6150ecfba27f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fe8c1828-71c3-4a74-84cc-6150ecfba27f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7bb3fb74-252c-4a1e-8bdc-b14ee6ba37ca' class='xr-var-data-in' type='checkbox'><label for='data-7bb3fb74-252c-4a1e-8bdc-b14ee6ba37ca' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>cycle :</span></dt><dd>only latest two records are maintained</dd><dt><span>long_name :</span></dt><dd>number of time-steps between restart records</dd></dl></div><div class='xr-var-data'><table>\n", | |
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" <table style=\"border-collapse: collapse;\">\n", | |
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" <tbody>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Bytes </th>\n", | |
" <td> 878.06 kiB </td>\n", | |
" <td> 8 B </td>\n", | |
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" <tr>\n", | |
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" <tr>\n", | |
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" <td colspan=\"2\"> float64 numpy.ndarray </td>\n", | |
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" <!-- Text -->\n", | |
" <text x=\"60.000000\" y=\"45.412617\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >112392</text>\n", | |
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"</svg>\n", | |
" </td>\n", | |
" </tr>\n", | |
"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ndefHIS</span></div><div class='xr-var-dims'>(ocean_time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1,), meta=np.ndarray></div><input id='attrs-c15526e5-b410-4643-b208-be8e64e6b90e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c15526e5-b410-4643-b208-be8e64e6b90e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d521d358-65ee-43a1-9a93-94518c2d710b' class='xr-var-data-in' type='checkbox'><label for='data-d521d358-65ee-43a1-9a93-94518c2d710b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>number of time-steps between the creation of history files</dd></dl></div><div class='xr-var-data'><table>\n", | |
" <tr>\n", | |
" <td>\n", | |
" <table style=\"border-collapse: collapse;\">\n", | |
" <thead>\n", | |
" <tr>\n", | |
" <td> </td>\n", | |
" <th> Array </th>\n", | |
" <th> Chunk </th>\n", | |
" </tr>\n", | |
" </thead>\n", | |
" <tbody>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Bytes </th>\n", | |
" <td> 878.06 kiB </td>\n", | |
" <td> 8 B </td>\n", | |
" </tr>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Shape </th>\n", | |
" <td> (112392,) </td>\n", | |
" <td> (1,) </td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th> Dask graph </th>\n", | |
" <td colspan=\"2\"> 112392 chunks in 2 graph layers </td>\n", | |
" </tr>\n", | |
" <tr>\n", | |
" <th> Data type </th>\n", | |
" <td colspan=\"2\"> float64 numpy.ndarray </td>\n", | |
" </tr>\n", | |
" </tbody>\n", | |
" </table>\n", | |
" </td>\n", | |
" <td>\n", | |
" <svg width=\"170\" height=\"75\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n", | |
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"\n", | |
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"\n", | |
" <!-- Text -->\n", | |
" <text x=\"60.000000\" y=\"45.412617\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >112392</text>\n", | |
" <text x=\"140.000000\" y=\"12.706308\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(0,140.000000,12.706308)\">1</text>\n", | |
"</svg>\n", | |
" </td>\n", | |
" </tr>\n", | |
"</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ndtfast</span></div><div class='xr-var-dims'>(ocean_time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array<chunksize=(1,), meta=np.ndarray></div><input id='attrs-707428a3-5f99-4a90-9584-b257103c90b6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-707428a3-5f99-4a90-9584-b257103c90b6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-11b49b64-eb83-4aa6-8812-f3cd2b8921a5' class='xr-var-data-in' type='checkbox'><label for='data-11b49b64-eb83-4aa6-8812-f3cd2b8921a5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>number of short time-steps</dd></dl></div><div class='xr-var-data'><table>\n", | |
" <tr>\n", | |
" <td>\n", | |
" <table style=\"border-collapse: collapse;\">\n", | |
" <thead>\n", | |
" <tr>\n", | |
" <td> </td>\n", | |
" <th> Array </th>\n", | |
" <th> Chunk </th>\n", | |
" </tr>\n", | |
" </thead>\n", | |
" <tbody>\n", | |
" \n", | |
" <tr>\n", | |
" <th> Bytes </th>\n", | |
" <td> 878.06 kiB </td>\n", | |
" <td> 8 B </td>\n", | |
" |
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