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suvarchal/merge_mesh_diag.ipynb

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Generate FESOM2 mesh information for spatial subsets
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merge_mesh_diag.ipynb
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pyfesom2_generate_mesh_info_from_region_selection.ipynb
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"source": [
"from pyfesom2.datasets import fesom_mesh_to_xr\n",
"import pandas as pd\n",
"import numpy as np\n",
"#import csv\n",
"import shutil\n",
"import os.path"
]
},
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"cell_type": "code",
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"end_time": "2021-07-07T00:55:58.042355Z",
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"outputs": [],
"source": [
"# a few utils to write mesh info"
]
},
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"cell_type": "code",
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"end_time": "2021-07-07T00:55:58.053946Z",
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"source": [
"def write_nod2d(da, outfile=\"./nod2d.out\"):\n",
" \n",
" with open(outfile, 'w') as fout:\n",
" nodes = f\"{da.nod2.size:>8}\"\n",
" fout.write(nodes)\n",
" fout.write('\\n')\n",
" \n",
" inds = da.nod2.values+1 # indices using fortran indexing convention\n",
" # lon values are only allowed to be in 0-360 range?\n",
" lons = np.where(da.lon.values>0, da.lon.values, da.lon.values+360.0)\n",
" lats = da.lat.values\n",
" \n",
" # create dataframe with required data as strings\n",
" nod2_df = pd.DataFrame({'indexes': inds,\n",
" 'lon': lons,\n",
" 'lat': lats,\n",
" 'flag': inds*0}, dtype='string') # not sure what is flag setting it to 0\n",
" \n",
" # now format string to percived formatting\n",
" # \n",
" nod2_df['indexes'] = nod2_df['indexes'].apply(lambda x: f\"{x:>8}\")\n",
" \n",
" nod2_df['lon'] = nod2_df['lon'].apply(lambda x: f\"{x[0:11]:>11}\")\n",
" \n",
" nod2_df['lat'] = nod2_df['lat'].apply(lambda x: f\"{x[0:12]:>12}\" if x.startswith('-') else f\"{x[0:11]:>12}\")\n",
" \n",
" nod2_df['flag'] = nod2_df['flag'].apply(lambda x: f\"{x:>8}\")\n",
" \n",
" #not sure how to use space (and not \\t) as delimiter \n",
" #nod2_df.to_csv(outfile, sep=\" \", index=False, header=False, escapechar=' ', quoting=csv.QUOTE_NONE, mode='a') \n",
" \n",
" nod2_df.to_csv(outfile, index=False, header=False, mode='a')\n",
" \n",
" # hacky sed-like way to replace , with space\n",
" with open(outfile, 'rt') as fin:\n",
" contents = fin.read()\n",
" with open(outfile, 'wt') as fout:\n",
" fout.write(contents.replace(\",\", \" \"))"
]
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"source": [
"def write_elem2d(da, outfile=\"./elem2d.out\"):\n",
" with open(outfile, 'w') as fout:\n",
" elems = f\"{da.nelem.size:>8}\"\n",
" fout.write(elems)\n",
" fout.write('\\n')\n",
" elem1, elem2, elem3 = (da.faces+1).T.values # +1 for fortran indexing\n",
" df=pd.DataFrame({'elem1': elem1, 'elem2': elem2, 'elem3': elem3 }, dtype='string')\n",
" #return df\n",
" df= df.applymap(lambda val: f\"{val:>8}\")\n",
" df.to_csv(outfile, index=None, header=None, mode='a')\n",
" # hacky sed-like way to replace , with space\n",
" with open(outfile, 'rt') as fin:\n",
" contents = fin.read()\n",
" with open(outfile, 'wt') as fout:\n",
" fout.write(contents.replace(\",\", \" \"))"
]
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"end_time": "2021-07-07T00:55:58.069563Z",
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"source": [
"# aux3d can be copied as is for region selection in lon-lat"
]
},
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"cell_type": "code",
"execution_count": 6,
"metadata": {
"ExecuteTime": {
"end_time": "2021-07-07T00:55:58.075360Z",
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"source": [
"def mesh_info_from_selection(mesh_path, region=None):\n",
" mesh_dataset=fesom_mesh_to_xr(mesh_path)\n",
" if region is None: # useful for testing to regenerate nod2d.out ... and compare\n",
" mesh_subset_dataset = mesh_dataset\n",
" else: # do region selection\n",
" mesh_subset_dataset = mesh_dataset.pyfesom2.select(region=region)\n",
" \n",
" write_nod2d(mesh_subset_dataset)\n",
" write_elem2d(mesh_subset_dataset)\n",
" # aux3d can be copied as is\n",
" shutil.copyfile(os.path.join(mesh_path,\"aux3d.out\"), \"aux3d.out\")"
]
},
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"end_time": "2021-07-07T00:57:26.938701Z",
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"outputs": [],
"source": [
"######"
]
},
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"metadata": {
"ExecuteTime": {
"end_time": "2021-07-07T00:56:51.693551Z",
"start_time": "2021-07-07T00:56:51.690787Z"
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"outputs": [],
"source": [
"mesh_path = \"../pyfesom2_temp/pyfesom2_fixes_may/tests/data/pi-grid\""
]
},
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"execution_count": 11,
"metadata": {
"ExecuteTime": {
"end_time": "2021-07-07T00:57:05.264819Z",
"start_time": "2021-07-07T00:57:05.243820Z"
}
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"name": "stdout",
"output_type": "stream",
"text": [
"/home/suvarchal/AWI/pyfesom2_temp/pyfesom2_fixes_may/tests/data/pi-grid/pickle_mesh_py3_fesom2\n",
"The usepickle == True)\n",
"The pickle file for FESOM2 exists.\n",
"The mesh will be loaded from /home/suvarchal/AWI/pyfesom2_temp/pyfesom2_fixes_may/tests/data/pi-grid/pickle_mesh_py3_fesom2\n"
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"</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
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" *empty*\n",
"Attributes:\n",
" Conventions: CF-1.7</pre><div class='xr-wrap' hidden><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-950b460e-43c1-4461-8e94-fa5abdb0b3b5' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-950b460e-43c1-4461-8e94-fa5abdb0b3b5' class='xr-section-summary' title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span>nelem</span>: 5839</li><li><span>nod2</span>: 3140</li><li><span class='xr-has-index'>nz</span>: 48</li><li><span class='xr-has-index'>nz1</span>: 47</li><li><span>three</span>: 3</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-df4e3bbd-487b-485a-86bf-d2303fed0586' class='xr-section-summary-in' type='checkbox' checked><label for='section-df4e3bbd-487b-485a-86bf-d2303fed0586' class='xr-section-summary' >Coordinates: <span>(5)</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>lon</span></div><div class='xr-var-dims'>(nod2)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-60.6 -60.73 -62.15 ... 122.0 124.5</div><input id='attrs-7c95b119-bcd8-4e8d-b72f-20f8c99b698b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-7c95b119-bcd8-4e8d-b72f-20f8c99b698b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e9be92be-7c5a-4ecc-b946-748e7168178e' class='xr-var-data-in' type='checkbox'><label for='data-e9be92be-7c5a-4ecc-b946-748e7168178e' 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>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array([-60.6011834, -60.7301373, -62.1527131, ..., 127.2248174,\n",
" 121.9987517, 124.5142243])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat</span></div><div class='xr-var-dims'>(nod2)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>74.28 73.91 74.05 ... -66.73 -66.46</div><input id='attrs-9c487724-79e7-4a59-b24b-bb70bf5adba7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-9c487724-79e7-4a59-b24b-bb70bf5adba7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a321b2c8-f2fd-4ce0-b403-a8713398f5b2' class='xr-var-data-in' type='checkbox'><label for='data-a321b2c8-f2fd-4ce0-b403-a8713398f5b2' 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>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array([ 74.28292396, 73.91183809, 74.05145544, ..., -66.24740724,\n",
" -66.73281897, -66.46269918])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>faces</span></div><div class='xr-var-dims'>(nelem, three)</div><div class='xr-var-dtype'>uint32</div><div class='xr-var-preview xr-preview'>0 11 1 1 11 ... 3133 3139 3136 3137</div><input id='attrs-7a0dfe94-e9cc-4426-9ab6-aaa61f90b7b9' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7a0dfe94-e9cc-4426-9ab6-aaa61f90b7b9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-994c980a-2998-4f7a-8590-25f25b7428a9' class='xr-var-data-in' type='checkbox'><label for='data-994c980a-2998-4f7a-8590-25f25b7428a9' 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'></dl></div><div class='xr-var-data'><pre>array([[ 0, 11, 1],\n",
" [ 1, 11, 9],\n",
" [ 1, 9, 8],\n",
" ...,\n",
" [3138, 3135, 3139],\n",
" [3138, 3134, 3133],\n",
" [3139, 3136, 3137]], dtype=uint32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>nz</span></div><div class='xr-var-dims'>(nz)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-0.0 5.0 10.0 ... 6e+03 6.25e+03</div><input id='attrs-6aecc767-658c-4837-bff5-9a7858b53d9d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6aecc767-658c-4837-bff5-9a7858b53d9d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f6634c74-fa18-408b-ad3b-bf1f64b130a5' class='xr-var-data-in' type='checkbox'><label for='data-f6634c74-fa18-408b-ad3b-bf1f64b130a5' 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>depth</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>array([-0.00e+00, 5.00e+00, 1.00e+01, 2.00e+01, 3.00e+01, 4.00e+01,\n",
" 5.00e+01, 6.00e+01, 7.00e+01, 8.00e+01, 9.00e+01, 1.00e+02,\n",
" 1.15e+02, 1.35e+02, 1.60e+02, 1.90e+02, 2.30e+02, 2.80e+02,\n",
" 3.40e+02, 4.10e+02, 4.90e+02, 5.80e+02, 6.80e+02, 7.90e+02,\n",
" 9.10e+02, 1.04e+03, 1.18e+03, 1.33e+03, 1.50e+03, 1.70e+03,\n",
" 1.92e+03, 2.15e+03, 2.40e+03, 2.65e+03, 2.90e+03, 3.15e+03,\n",
" 3.40e+03, 3.65e+03, 3.90e+03, 4.15e+03, 4.40e+03, 4.65e+03,\n",
" 4.90e+03, 5.15e+03, 5.40e+03, 5.65e+03, 6.00e+03, 6.25e+03])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>nz1</span></div><div class='xr-var-dims'>(nz1)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.5 7.5 ... 5.825e+03 6.125e+03</div><input id='attrs-42766a3b-d6c0-4ea2-96cf-b6b68abf20a6' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-42766a3b-d6c0-4ea2-96cf-b6b68abf20a6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2c473935-9cf3-4fda-a50f-d931c4719035' class='xr-var-data-in' type='checkbox'><label for='data-2c473935-9cf3-4fda-a50f-d931c4719035' 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>depth at half level</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>axis :</span></dt><dd>Z</dd></dl></div><div class='xr-var-data'><pre>array([2.500e+00, 7.500e+00, 1.500e+01, 2.500e+01, 3.500e+01, 4.500e+01,\n",
" 5.500e+01, 6.500e+01, 7.500e+01, 8.500e+01, 9.500e+01, 1.075e+02,\n",
" 1.250e+02, 1.475e+02, 1.750e+02, 2.100e+02, 2.550e+02, 3.100e+02,\n",
" 3.750e+02, 4.500e+02, 5.350e+02, 6.300e+02, 7.350e+02, 8.500e+02,\n",
" 9.750e+02, 1.110e+03, 1.255e+03, 1.415e+03, 1.600e+03, 1.810e+03,\n",
" 2.035e+03, 2.275e+03, 2.525e+03, 2.775e+03, 3.025e+03, 3.275e+03,\n",
" 3.525e+03, 3.775e+03, 4.025e+03, 4.275e+03, 4.525e+03, 4.775e+03,\n",
" 5.025e+03, 5.275e+03, 5.525e+03, 5.825e+03, 6.125e+03])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-cc5bb0be-e9b2-4e1e-aef6-f45ce6049d8d' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-cc5bb0be-e9b2-4e1e-aef6-f45ce6049d8d' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-d207bb9d-71bb-4a64-969e-dd2e141197f5' class='xr-section-summary-in' type='checkbox' checked><label for='section-d207bb9d-71bb-4a64-969e-dd2e141197f5' class='xr-section-summary' >Attributes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.7</dd></dl></div></li></ul></div></div>"
],
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"<xarray.Dataset>\n",
"Dimensions: (nelem: 5839, nod2: 3140, nz: 48, nz1: 47, three: 3)\n",
"Coordinates:\n",
" lon (nod2) float64 -60.6 -60.73 -62.15 -60.71 ... 127.2 122.0 124.5\n",
" lat (nod2) float64 74.28 73.91 74.05 74.63 ... -66.25 -66.73 -66.46\n",
" faces (nelem, three) uint32 0 11 1 1 11 9 ... 3134 3133 3139 3136 3137\n",
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"Dimensions without coordinates: nelem, nod2, three\n",
"Data variables:\n",
" *empty*\n",
"Attributes:\n",
" Conventions: CF-1.7"
]
},
"execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"fesom_mesh_to_xr(mesh_path) # check orig mesh dataset"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {
"ExecuteTime": {
"end_time": "2021-07-07T00:58:08.427426Z",
"start_time": "2021-07-07T00:58:08.240710Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"/home/suvarchal/AWI/pyfesom2_temp/pyfesom2_fixes_may/tests/data/pi-grid/pickle_mesh_py3_fesom2\n",
"The usepickle == True)\n",
"The pickle file for FESOM2 exists.\n",
"The mesh will be loaded from /home/suvarchal/AWI/pyfesom2_temp/pyfesom2_fixes_may/tests/data/pi-grid/pickle_mesh_py3_fesom2\n"
]
}
],
"source": [
"mesh_info_from_selection(mesh_path, region=(-32, 62, 20, 85)) # select and save meshinfo"
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {
"ExecuteTime": {
"end_time": "2021-07-07T00:58:10.811670Z",
"start_time": "2021-07-07T00:58:10.668629Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"aux3d.out elem2d.out nod2d.out\r\n"
]
}
],
"source": [
"!ls *.out"
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {
"ExecuteTime": {
"end_time": "2021-07-07T00:59:17.451491Z",
"start_time": "2021-07-07T00:59:17.405487Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"/home/suvarchal/AWI/claudia/pickle_mesh_py3_fesom2\n",
"The usepickle == True)\n",
"The pickle file for FESOM2 exists.\n",
"The mesh will be loaded from /home/suvarchal/AWI/claudia/pickle_mesh_py3_fesom2\n"
]
},
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" content: ',';\n",
" padding-right: 5px;\n",
"}\n",
"\n",
".xr-has-index {\n",
" font-weight: bold;\n",
"}\n",
"\n",
".xr-var-list,\n",
".xr-var-item {\n",
" display: contents;\n",
"}\n",
"\n",
".xr-var-item > div,\n",
".xr-var-item label,\n",
".xr-var-item > .xr-var-name span {\n",
" background-color: var(--xr-background-color-row-even);\n",
" margin-bottom: 0;\n",
"}\n",
"\n",
".xr-var-item > .xr-var-name:hover span {\n",
" padding-right: 5px;\n",
"}\n",
"\n",
".xr-var-list > li:nth-child(odd) > div,\n",
".xr-var-list > li:nth-child(odd) > label,\n",
".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
" background-color: var(--xr-background-color-row-odd);\n",
"}\n",
"\n",
".xr-var-name {\n",
" grid-column: 1;\n",
"}\n",
"\n",
".xr-var-dims {\n",
" grid-column: 2;\n",
"}\n",
"\n",
".xr-var-dtype {\n",
" grid-column: 3;\n",
" text-align: right;\n",
" color: var(--xr-font-color2);\n",
"}\n",
"\n",
".xr-var-preview {\n",
" grid-column: 4;\n",
"}\n",
"\n",
".xr-var-name,\n",
".xr-var-dims,\n",
".xr-var-dtype,\n",
".xr-preview,\n",
".xr-attrs dt {\n",
" white-space: nowrap;\n",
" overflow: hidden;\n",
" text-overflow: ellipsis;\n",
" padding-right: 10px;\n",
"}\n",
"\n",
".xr-var-name:hover,\n",
".xr-var-dims:hover,\n",
".xr-var-dtype:hover,\n",
".xr-attrs dt:hover {\n",
" overflow: visible;\n",
" width: auto;\n",
" z-index: 1;\n",
"}\n",
"\n",
".xr-var-attrs,\n",
".xr-var-data {\n",
" display: none;\n",
" background-color: var(--xr-background-color) !important;\n",
" padding-bottom: 5px !important;\n",
"}\n",
"\n",
".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
".xr-var-data-in:checked ~ .xr-var-data {\n",
" display: block;\n",
"}\n",
"\n",
".xr-var-data > table {\n",
" float: right;\n",
"}\n",
"\n",
".xr-var-name span,\n",
".xr-var-data,\n",
".xr-attrs {\n",
" padding-left: 25px !important;\n",
"}\n",
"\n",
".xr-attrs,\n",
".xr-var-attrs,\n",
".xr-var-data {\n",
" grid-column: 1 / -1;\n",
"}\n",
"\n",
"dl.xr-attrs {\n",
" padding: 0;\n",
" margin: 0;\n",
" display: grid;\n",
" grid-template-columns: 125px auto;\n",
"}\n",
"\n",
".xr-attrs dt,\n",
".xr-attrs dd {\n",
" padding: 0;\n",
" margin: 0;\n",
" float: left;\n",
" padding-right: 10px;\n",
" width: auto;\n",
"}\n",
"\n",
".xr-attrs dt {\n",
" font-weight: normal;\n",
" grid-column: 1;\n",
"}\n",
"\n",
".xr-attrs dt:hover span {\n",
" display: inline-block;\n",
" background: var(--xr-background-color);\n",
" padding-right: 10px;\n",
"}\n",
"\n",
".xr-attrs dd {\n",
" grid-column: 2;\n",
" white-space: pre-wrap;\n",
" word-break: break-all;\n",
"}\n",
"\n",
".xr-icon-database,\n",
".xr-icon-file-text2 {\n",
" display: inline-block;\n",
" vertical-align: middle;\n",
" width: 1em;\n",
" height: 1.5em !important;\n",
" stroke-width: 0;\n",
" stroke: currentColor;\n",
" fill: currentColor;\n",
"}\n",
"</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
"Dimensions: (nelem: 677, nod2: 380, nz: 48, nz1: 47, three: 3)\n",
"Coordinates:\n",
" lon (nod2) float64 -17.59 -19.35 -20.19 -21.36 ... -22.34 -29.81 -26.84\n",
" lat (nod2) float64 74.63 74.23 73.73 73.31 ... 62.33 62.05 62.42 62.14\n",
" faces (nelem, three) uint32 1 0 10 3 2 13 4 ... 378 373 379 379 373 374\n",
" * nz (nz) float64 -0.0 5.0 10.0 20.0 ... 5.4e+03 5.65e+03 6e+03 6.25e+03\n",
" * nz1 (nz1) float64 2.5 7.5 15.0 25.0 ... 5.525e+03 5.825e+03 6.125e+03\n",
"Dimensions without coordinates: nelem, nod2, three\n",
"Data variables:\n",
" *empty*\n",
"Attributes:\n",
" Conventions: CF-1.7</pre><div class='xr-wrap' hidden><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-276af0bc-ab1c-4a16-a45e-09785ce5f417' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-276af0bc-ab1c-4a16-a45e-09785ce5f417' class='xr-section-summary' title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span>nelem</span>: 677</li><li><span>nod2</span>: 380</li><li><span class='xr-has-index'>nz</span>: 48</li><li><span class='xr-has-index'>nz1</span>: 47</li><li><span>three</span>: 3</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-18c873e8-3026-44e9-b8b6-a690a1c32b7e' class='xr-section-summary-in' type='checkbox' checked><label for='section-18c873e8-3026-44e9-b8b6-a690a1c32b7e' class='xr-section-summary' >Coordinates: <span>(5)</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>lon</span></div><div class='xr-var-dims'>(nod2)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-17.59 -19.35 ... -29.81 -26.84</div><input id='attrs-6023763d-4d2c-4897-bf2e-027477d2cbaa' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-6023763d-4d2c-4897-bf2e-027477d2cbaa' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7bb7bdeb-d963-4587-a054-6b29e0c83861' class='xr-var-data-in' type='checkbox'><label for='data-7bb7bdeb-d963-4587-a054-6b29e0c83861' 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>longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><pre>array([-17.5874553 , -19.3452906 , -20.193573 , -21.360015 ,\n",
" -22.0731905 , -17.3615116 , -19.3179929 , -22.18846 ,\n",
" -15.864382 , -16.1900108 , -17.5943849 , -16.4992691 ,\n",
" -18.3352937 , -19.1510128 , -19.8841271 , -20.3914312 ,\n",
" -20.4190573 , -13.6900725 , -15.5560981 , -15.1247163 ,\n",
" -17.036157 , -19.2260797 , -22.1996439 , -14.1161798 ,\n",
" -11.8392219 , -14.5308735 , -16.9977566 , -15.025801 ,\n",
" -16.124723 , -17.7226524 , -18.3999858 , -19.0649617 ,\n",
" -20.4970192 , -19.112055 , -13.9599745 , -11.8450116 ,\n",
" -9.1694136 , -14.6966179 , -16.6985999 , -15.9290375 ,\n",
" -18.7397895 , -20.7797504 , -22.6670453 , -1.5853535 ,\n",
" -12.4263837 , -6.0493124 , -9.6092251 , -13.2663248 ,\n",
" -15.9613088 , -14.6798822 , -16.6669006 , -17.4474142 ,\n",
" -19.1897004 , -17.8368444 , -19.3548334 , -12.3760669 ,\n",
" -9.6979538 , -6.4331004 , -3.1219469 , 2.008429 ,\n",
" 0.4296224 , -13.6148019 , -12.7583639 , -15.5062587 ,\n",
" -16.5914894 , -18.4818266 , -21.3752065 , -20.0591997 ,\n",
" -23.2249839 , 1.0707213 , -3.7223039 , -10.8254549 ,\n",
" -7.6320001 , -12.5802433 , -14.3086191 , -15.1316649 ,\n",
" -16.0453705 , -17.4577491 , -18.4756751 , 4.7999724 ,\n",
"...\n",
" -1.2103593 , -4.5090919 , -7.2464883 , -11.3685371 ,\n",
" -8.8979098 , -24.3123049 , 19.7043256 , 13.14722559,\n",
" 0.4093574 , 6.5790349 , -4.1990852 , -10.2343198 ,\n",
" -12.104976 , -18.4701417 , -29.2964342 , -27.8875048 ,\n",
" -30.9898969 , -26.6819482 , -24.6141314 , -13.7785336 ,\n",
" 5.7267255 , 11.1841375 , 2.7716015 , -0.2209567 ,\n",
" -3.2612002 , -6.384853 , -11.3130095 , -9.2566874 ,\n",
" -25.4813191 , 18.0121471 , 10.1636111 , 2.4787846 ,\n",
" -4.6578869 , -11.5685418 , -19.1055557 , -29.7478526 ,\n",
" -28.3932184 , -31.3421868 , -27.5487178 , -25.6624552 ,\n",
" -23.1443797 , -16.5904941 , -13.692722 , 3.7747607 ,\n",
" 7.5488629 , 0.8985477 , 1.8260477 , -11.5272717 ,\n",
" -1.9038018 , -4.700496 , -7.3836646 , -9.2317349 ,\n",
" -24.9415772 , 14.608028 , 4.8029058 , -3.0046197 ,\n",
" -29.8638878 , -31.9190301 , -28.7478505 , -26.7165052 ,\n",
" -24.584036 , -20.4223153 , -22.5932098 , -18.0637806 ,\n",
" -15.2591444 , -13.0685336 , -0.7631325 , -10.5742171 ,\n",
" -3.4522832 , -6.2258395 , -8.0254895 , 9.8820769 ,\n",
" -30.719841 , -28.1970493 , -26.1170894 , -24.4799837 ,\n",
" -20.289292 , -22.3403919 , -29.8054757 , -26.8445248 ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>lat</span></div><div class='xr-var-dims'>(nod2)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>74.63 74.23 73.73 ... 62.42 62.14</div><input id='attrs-3a137ea7-bcd6-49a2-b378-0c1a4d795813' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3a137ea7-bcd6-49a2-b378-0c1a4d795813' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0de70d4a-722b-422f-8285-e08080a80127' class='xr-var-data-in' type='checkbox'><label for='data-0de70d4a-722b-422f-8285-e08080a80127' 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>latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><pre>array([74.63089965, 74.23311831, 73.72578431, 73.3059939 , 72.83643713,\n",
" 75.13751959, 74.81065657, 72.27578009, 75.31507733, 74.86862726,\n",
" 74.11558163, 74.4243604 , 73.6849668 , 73.26135665, 72.91346502,\n",
" 72.53918457, 72.14103337, 75.98437592, 75.78140956, 76.22642993,\n",
" 75.62681974, 75.41733055, 71.77343952, 75.44714944, 75.63901508,\n",
" 74.92504915, 73.69157942, 74.43916123, 74.00804222, 73.27853244,\n",
" 72.87730762, 72.51788268, 71.71634844, 72.10689653, 76.57175585,\n",
" 76.34008695, 75.98329449, 76.99406378, 76.15509365, 76.60579874,\n",
" 76.01698165, 71.26515974, 71.22716977, 75.28851671, 74.96691448,\n",
" 75.43640791, 75.1537768 , 74.32130367, 73.38647381, 73.81184016,\n",
" 72.89157443, 72.40480384, 71.5956532 , 71.84734551, 71.16779682,\n",
" 76.98757348, 76.79831832, 76.47457025, 76.16561266, 75.51309257,\n",
" 76.36023231, 77.4290385 , 77.85181103, 77.43516372, 77.0385591 ,\n",
" 76.63717714, 70.78536878, 70.72908566, 70.57819201, 74.34468606,\n",
" 74.47816103, 74.32812194, 74.43625815, 73.61045587, 73.11313728,\n",
" 72.51485531, 71.8905508 , 71.26316684, 70.71018749, 74.87522781,\n",
" 77.50360658, 77.31696124, 77.11365678, 75.99582153, 77.22245171,\n",
" 76.71220208, 78.23989788, 78.34841816, 77.92360071, 77.7995947 ,\n",
" 77.37105695, 78.74530316, 70.31109586, 70.2188522 , 70.08395143,\n",
" 69.92464045, 69.47936316, 74.37509669, 73.77278865, 70.10046319,\n",
"...\n",
" 82.32089153, 81.10466265, 81.42502403, 81.30599539, 81.35078438,\n",
" 81.94218435, 82.40152164, 82.35133971, 83.07695206, 66.57442363,\n",
" 66.35113146, 66.36390681, 66.02184364, 66.27831934, 65.849925 ,\n",
" 66.53746761, 67.15028629, 65.48193122, 65.48957191, 65.68436973,\n",
" 66.06081826, 66.15472708, 66.23303183, 65.33295719, 65.4734158 ,\n",
" 83.20564742, 81.64948169, 81.9633047 , 82.13078494, 82.07881314,\n",
" 82.74652033, 82.97049084, 83.55588256, 83.77575438, 66.00974555,\n",
" 65.71217103, 65.80851343, 65.20407644, 65.36762671, 64.70342579,\n",
" 64.39696466, 64.59826097, 64.47514181, 64.70049769, 64.94429139,\n",
" 65.03943879, 64.1541366 , 64.54323095, 84.16807225, 82.58455606,\n",
" 82.8355609 , 82.96463885, 83.58586392, 84.20067817, 84.43263241,\n",
" 65.36044426, 65.04539843, 65.03493801, 64.49060431, 64.47217646,\n",
" 64.4387254 , 63.82500798, 63.49512782, 63.11619883, 62.9986537 ,\n",
" 63.50711116, 62.0965321 , 63.11436943, 63.60100204, 63.83075942,\n",
" 63.92270621, 63.2516342 , 84.88636083, 83.64636368, 83.86190874,\n",
" 84.5532517 , 64.49359861, 64.27334762, 63.87144211, 63.79679448,\n",
" 63.58932147, 63.61723904, 63.08808256, 62.71689526, 62.60102842,\n",
" 62.35306079, 62.33253145, 62.1646472 , 62.47976482, 62.72909126,\n",
" 62.05481102, 84.93091088, 63.47221434, 63.03721687, 63.03301261,\n",
" 62.54564952, 62.33260488, 62.05045674, 62.4206587 , 62.14331346])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>faces</span></div><div class='xr-var-dims'>(nelem, three)</div><div class='xr-var-dtype'>uint32</div><div class='xr-var-preview xr-preview'>1 0 10 3 2 ... 373 379 379 373 374</div><input id='attrs-920caf22-0a04-43d0-b488-6466a93fef69' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-920caf22-0a04-43d0-b488-6466a93fef69' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d4c384cd-e284-4b1e-af7e-6e3868c11e78' class='xr-var-data-in' type='checkbox'><label for='data-d4c384cd-e284-4b1e-af7e-6e3868c11e78' 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'></dl></div><div class='xr-var-data'><pre>array([[ 1, 0, 10],\n",
" [ 3, 2, 13],\n",
" [ 4, 3, 14],\n",
" ...,\n",
" [378, 372, 373],\n",
" [378, 373, 379],\n",
" [379, 373, 374]], dtype=uint32)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>nz</span></div><div class='xr-var-dims'>(nz)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-0.0 5.0 10.0 ... 6e+03 6.25e+03</div><input id='attrs-4ab84cfc-c4d0-42f8-a195-02d4836e0695' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4ab84cfc-c4d0-42f8-a195-02d4836e0695' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c155a28e-e1f3-4295-b2e7-38556c2e7b0e' class='xr-var-data-in' type='checkbox'><label for='data-c155a28e-e1f3-4295-b2e7-38556c2e7b0e' 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>depth</dd><dt><span>units :</span></dt><dd>m</dd></dl></div><div class='xr-var-data'><pre>array([-0.00e+00, 5.00e+00, 1.00e+01, 2.00e+01, 3.00e+01, 4.00e+01,\n",
" 5.00e+01, 6.00e+01, 7.00e+01, 8.00e+01, 9.00e+01, 1.00e+02,\n",
" 1.15e+02, 1.35e+02, 1.60e+02, 1.90e+02, 2.30e+02, 2.80e+02,\n",
" 3.40e+02, 4.10e+02, 4.90e+02, 5.80e+02, 6.80e+02, 7.90e+02,\n",
" 9.10e+02, 1.04e+03, 1.18e+03, 1.33e+03, 1.50e+03, 1.70e+03,\n",
" 1.92e+03, 2.15e+03, 2.40e+03, 2.65e+03, 2.90e+03, 3.15e+03,\n",
" 3.40e+03, 3.65e+03, 3.90e+03, 4.15e+03, 4.40e+03, 4.65e+03,\n",
" 4.90e+03, 5.15e+03, 5.40e+03, 5.65e+03, 6.00e+03, 6.25e+03])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>nz1</span></div><div class='xr-var-dims'>(nz1)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.5 7.5 ... 5.825e+03 6.125e+03</div><input id='attrs-d1359527-03a2-4dba-b39a-4ba8fee5a776' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d1359527-03a2-4dba-b39a-4ba8fee5a776' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4d7faff8-8d6d-4ca3-89b3-fda10bd38f82' class='xr-var-data-in' type='checkbox'><label for='data-4d7faff8-8d6d-4ca3-89b3-fda10bd38f82' 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>depth at half level</dd><dt><span>units :</span></dt><dd>m</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>axis :</span></dt><dd>Z</dd></dl></div><div class='xr-var-data'><pre>array([2.500e+00, 7.500e+00, 1.500e+01, 2.500e+01, 3.500e+01, 4.500e+01,\n",
" 5.500e+01, 6.500e+01, 7.500e+01, 8.500e+01, 9.500e+01, 1.075e+02,\n",
" 1.250e+02, 1.475e+02, 1.750e+02, 2.100e+02, 2.550e+02, 3.100e+02,\n",
" 3.750e+02, 4.500e+02, 5.350e+02, 6.300e+02, 7.350e+02, 8.500e+02,\n",
" 9.750e+02, 1.110e+03, 1.255e+03, 1.415e+03, 1.600e+03, 1.810e+03,\n",
" 2.035e+03, 2.275e+03, 2.525e+03, 2.775e+03, 3.025e+03, 3.275e+03,\n",
" 3.525e+03, 3.775e+03, 4.025e+03, 4.275e+03, 4.525e+03, 4.775e+03,\n",
" 5.025e+03, 5.275e+03, 5.525e+03, 5.825e+03, 6.125e+03])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f638c97f-3371-40e9-99d2-b2529e3f2edc' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-f638c97f-3371-40e9-99d2-b2529e3f2edc' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-8f28c0c5-7543-4d0a-afe5-ed88ce689807' class='xr-section-summary-in' type='checkbox' checked><label for='section-8f28c0c5-7543-4d0a-afe5-ed88ce689807' class='xr-section-summary' >Attributes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>Conventions :</span></dt><dd>CF-1.7</dd></dl></div></li></ul></div></div>"
],
"text/plain": [
"<xarray.Dataset>\n",
"Dimensions: (nelem: 677, nod2: 380, nz: 48, nz1: 47, three: 3)\n",
"Coordinates:\n",
" lon (nod2) float64 -17.59 -19.35 -20.19 -21.36 ... -22.34 -29.81 -26.84\n",
" lat (nod2) float64 74.63 74.23 73.73 73.31 ... 62.33 62.05 62.42 62.14\n",
" faces (nelem, three) uint32 1 0 10 3 2 13 4 ... 378 373 379 379 373 374\n",
" * nz (nz) float64 -0.0 5.0 10.0 20.0 ... 5.4e+03 5.65e+03 6e+03 6.25e+03\n",
" * nz1 (nz1) float64 2.5 7.5 15.0 25.0 ... 5.525e+03 5.825e+03 6.125e+03\n",
"Dimensions without coordinates: nelem, nod2, three\n",
"Data variables:\n",
" *empty*\n",
"Attributes:\n",
" Conventions: CF-1.7"
]
},
"execution_count": 18,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"fesom_mesh_to_xr(\".\") # use generated nod2d to make new mesh dataset to verify "
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.7.8"
}
},
"nbformat": 4,
"nbformat_minor": 4
}
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