# Xoak for selecting ship tracks from NEMO data

NEMO_Xoak_RV_Meteor_track.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "infrared-research",
   "metadata": {},
   "source": [
    "# Xoak for selecting ship tracks from NEMO data\n",
    "\n",
    "We'll select all points from the R/V Meteor cruise M106 from a high-resolution simulation dataset created with NEMO."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "surprised-camel",
   "metadata": {},
   "source": [
    "## Tech preamble"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "outstanding-dakota",
   "metadata": {},
   "outputs": [],
   "source": [
    "import cartopy.crs as ccrs\n",
    "import cmocean\n",
    "import numpy as np\n",
    "import os\n",
    "import pangaeapy\n",
    "import pandas as pd\n",
    "from matplotlib import pyplot as plt\n",
    "import xoak\n",
    "import xarray as xr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "charged-economy",
   "metadata": {},
   "outputs": [],
   "source": [
    "xr.set_options(display_style=\"text\");"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "lonely-final",
   "metadata": {},
   "source": [
    "## Load vessel data using pangaeapy and convert to Xarray dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "defined-audience",
   "metadata": {},
   "outputs": [],
   "source": [
    "pangaea_doi = \"10.1594/PANGAEA.869361\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "acquired-roads",
   "metadata": {},
   "outputs": [],
   "source": [
    "pandataset = pangaeapy.pandataset.PanDataSet(pangaea_doi)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "specified-meeting",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Physical oceanography during METEOR cruise M106\n"
     ]
    }
   ],
   "source": [
    "print(pandataset.title)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "settled-turning",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Event</th>\n",
       "      <th>Date/Time</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Longitude</th>\n",
       "      <th>Press</th>\n",
       "      <th>Depth water</th>\n",
       "      <th>Temp</th>\n",
       "      <th>Sal</th>\n",
       "      <th>O2</th>\n",
       "      <th>SV</th>\n",
       "      <th>Sigma in situ</th>\n",
       "      <th>Fluorescence</th>\n",
       "      <th>Turbidity</th>\n",
       "      <th>PAR</th>\n",
       "      <th>SPAR</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>M106_322-2</td>\n",
       "      <td>2014-04-19 22:42:00</td>\n",
       "      <td>17.6007</td>\n",
       "      <td>-24.2498</td>\n",
       "      <td>5</td>\n",
       "      <td>4.97</td>\n",
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       "      <td>0.242</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
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       "      <th>1</th>\n",
       "      <td>M106_322-2</td>\n",
       "      <td>2014-04-19 22:42:00</td>\n",
       "      <td>17.6007</td>\n",
       "      <td>-24.2498</td>\n",
       "      <td>6</td>\n",
       "      <td>5.96</td>\n",
       "      <td>22.2956</td>\n",
       "      <td>36.4074</td>\n",
       "      <td>221.89</td>\n",
       "      <td>1529.28</td>\n",
       "      <td>25.2043</td>\n",
       "      <td>0.095</td>\n",
       "      <td>0.234</td>\n",
       "      <td>0.0</td>\n",
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       "      <th>2</th>\n",
       "      <td>M106_322-2</td>\n",
       "      <td>2014-04-19 22:42:00</td>\n",
       "      <td>17.6007</td>\n",
       "      <td>-24.2498</td>\n",
       "      <td>7</td>\n",
       "      <td>6.96</td>\n",
       "      <td>22.2935</td>\n",
       "      <td>36.4073</td>\n",
       "      <td>222.06</td>\n",
       "      <td>1529.29</td>\n",
       "      <td>25.2048</td>\n",
       "      <td>0.093</td>\n",
       "      <td>0.243</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>M106_322-2</td>\n",
       "      <td>2014-04-19 22:42:00</td>\n",
       "      <td>17.6007</td>\n",
       "      <td>-24.2498</td>\n",
       "      <td>8</td>\n",
       "      <td>7.95</td>\n",
       "      <td>22.2923</td>\n",
       "      <td>36.4072</td>\n",
       "      <td>221.87</td>\n",
       "      <td>1529.31</td>\n",
       "      <td>25.2052</td>\n",
       "      <td>0.097</td>\n",
       "      <td>0.245</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>M106_322-2</td>\n",
       "      <td>2014-04-19 22:42:00</td>\n",
       "      <td>17.6007</td>\n",
       "      <td>-24.2498</td>\n",
       "      <td>9</td>\n",
       "      <td>8.95</td>\n",
       "      <td>22.2897</td>\n",
       "      <td>36.4074</td>\n",
       "      <td>222.14</td>\n",
       "      <td>1529.32</td>\n",
       "      <td>25.2061</td>\n",
       "      <td>0.081</td>\n",
       "      <td>0.245</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>372374</th>\n",
       "      <td>M106_434-1</td>\n",
       "      <td>2014-05-24 01:11:00</td>\n",
       "      <td>-5.6495</td>\n",
       "      <td>-34.9602</td>\n",
       "      <td>278</td>\n",
       "      <td>276.27</td>\n",
       "      <td>12.8412</td>\n",
       "      <td>35.2091</td>\n",
       "      <td>197.68</td>\n",
       "      <td>1504.51</td>\n",
       "      <td>26.5944</td>\n",
       "      <td>-0.023</td>\n",
       "      <td>0.231</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>372375</th>\n",
       "      <td>M106_434-1</td>\n",
       "      <td>2014-05-24 01:11:00</td>\n",
       "      <td>-5.6495</td>\n",
       "      <td>-34.9602</td>\n",
       "      <td>279</td>\n",
       "      <td>277.27</td>\n",
       "      <td>12.8457</td>\n",
       "      <td>35.2093</td>\n",
       "      <td>197.47</td>\n",
       "      <td>1504.54</td>\n",
       "      <td>26.5937</td>\n",
       "      <td>-0.002</td>\n",
       "      <td>0.223</td>\n",
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       "    <tr>\n",
       "      <th>372376</th>\n",
       "      <td>M106_434-1</td>\n",
       "      <td>2014-05-24 01:11:00</td>\n",
       "      <td>-5.6495</td>\n",
       "      <td>-34.9602</td>\n",
       "      <td>280</td>\n",
       "      <td>278.26</td>\n",
       "      <td>12.8227</td>\n",
       "      <td>35.2064</td>\n",
       "      <td>197.45</td>\n",
       "      <td>1504.48</td>\n",
       "      <td>26.5961</td>\n",
       "      <td>-0.010</td>\n",
       "      <td>0.232</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>372377</th>\n",
       "      <td>M106_434-1</td>\n",
       "      <td>2014-05-24 01:11:00</td>\n",
       "      <td>-5.6495</td>\n",
       "      <td>-34.9602</td>\n",
       "      <td>281</td>\n",
       "      <td>279.25</td>\n",
       "      <td>12.8028</td>\n",
       "      <td>35.2030</td>\n",
       "      <td>197.73</td>\n",
       "      <td>1504.42</td>\n",
       "      <td>26.5975</td>\n",
       "      <td>-0.007</td>\n",
       "      <td>0.241</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>372378</th>\n",
       "      <td>M106_434-1</td>\n",
       "      <td>2014-05-24 01:11:00</td>\n",
       "      <td>-5.6495</td>\n",
       "      <td>-34.9602</td>\n",
       "      <td>282</td>\n",
       "      <td>280.25</td>\n",
       "      <td>12.7954</td>\n",
       "      <td>35.2026</td>\n",
       "      <td>197.27</td>\n",
       "      <td>1504.41</td>\n",
       "      <td>26.5986</td>\n",
       "      <td>-0.013</td>\n",
       "      <td>0.227</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "  </tbody>\n",
       "</table>\n",
       "<p>372379 rows × 15 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             Event           Date/Time  Latitude  Longitude  Press  \\\n",
       "0       M106_322-2 2014-04-19 22:42:00   17.6007   -24.2498      5   \n",
       "1       M106_322-2 2014-04-19 22:42:00   17.6007   -24.2498      6   \n",
       "2       M106_322-2 2014-04-19 22:42:00   17.6007   -24.2498      7   \n",
       "3       M106_322-2 2014-04-19 22:42:00   17.6007   -24.2498      8   \n",
       "4       M106_322-2 2014-04-19 22:42:00   17.6007   -24.2498      9   \n",
       "...            ...                 ...       ...        ...    ...   \n",
       "372374  M106_434-1 2014-05-24 01:11:00   -5.6495   -34.9602    278   \n",
       "372375  M106_434-1 2014-05-24 01:11:00   -5.6495   -34.9602    279   \n",
       "372376  M106_434-1 2014-05-24 01:11:00   -5.6495   -34.9602    280   \n",
       "372377  M106_434-1 2014-05-24 01:11:00   -5.6495   -34.9602    281   \n",
       "372378  M106_434-1 2014-05-24 01:11:00   -5.6495   -34.9602    282   \n",
       "\n",
       "        Depth water     Temp      Sal      O2       SV  Sigma in situ  \\\n",
       "0              4.97  22.2999  36.4072  221.72  1529.28        25.2028   \n",
       "1              5.96  22.2956  36.4074  221.89  1529.28        25.2043   \n",
       "2              6.96  22.2935  36.4073  222.06  1529.29        25.2048   \n",
       "3              7.95  22.2923  36.4072  221.87  1529.31        25.2052   \n",
       "4              8.95  22.2897  36.4074  222.14  1529.32        25.2061   \n",
       "...             ...      ...      ...     ...      ...            ...   \n",
       "372374       276.27  12.8412  35.2091  197.68  1504.51        26.5944   \n",
       "372375       277.27  12.8457  35.2093  197.47  1504.54        26.5937   \n",
       "372376       278.26  12.8227  35.2064  197.45  1504.48        26.5961   \n",
       "372377       279.25  12.8028  35.2030  197.73  1504.42        26.5975   \n",
       "372378       280.25  12.7954  35.2026  197.27  1504.41        26.5986   \n",
       "\n",
       "        Fluorescence  Turbidity  PAR  SPAR  \n",
       "0              0.091      0.242  0.0   NaN  \n",
       "1              0.095      0.234  0.0   NaN  \n",
       "2              0.093      0.243  0.0   NaN  \n",
       "3              0.097      0.245  0.0   NaN  \n",
       "4              0.081      0.245  0.0   NaN  \n",
       "...              ...        ...  ...   ...  \n",
       "372374        -0.023      0.231  0.0   0.0  \n",
       "372375        -0.002      0.223  0.0   0.0  \n",
       "372376        -0.010      0.232  0.0   0.0  \n",
       "372377        -0.007      0.241  0.0   0.0  \n",
       "372378        -0.013      0.227  0.0   0.0  \n",
       "\n",
       "[372379 rows x 15 columns]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "display(pandataset.data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "welcome-penguin",
   "metadata": {},
   "outputs": [],
   "source": [
    "# convert data frame to xarray dataset\n",
    "ship_track = pandataset.data.set_index([\"Event\", \"Press\"]).sort_index()[\n",
    "    [\"Date/Time\", \"Latitude\", \"Longitude\", \"Depth water\", \"Temp\"]\n",
    "].to_xarray()\n",
    "\n",
    "# simplify lat and lon (assuming the vessel was stationary during CTD casts)\n",
    "ship_track[\"Latitude\"] = ship_track[\"Latitude\"].mean(\"Press\")\n",
    "ship_track[\"Longitude\"] = ship_track[\"Longitude\"].mean(\"Press\")\n",
    "\n",
    "# add an event number for easier plotting\n",
    "ship_track.coords[\"event_number\"] = xr.DataArray(\n",
    "    np.arange(ship_track.dims[\"Event\"]),\n",
    "    dims=(\"Event\", )\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "electrical-chicken",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<pre>&lt;xarray.Dataset&gt;\n",
       "Dimensions:       (Event: 118, Press: 5800)\n",
       "Coordinates:\n",
       "  * Event         (Event) object &#x27;M106_322-2&#x27; &#x27;M106_322-3&#x27; ... &#x27;M106_434-1&#x27;\n",
       "  * Press         (Press) int64 2 3 4 5 6 7 8 ... 5796 5797 5798 5799 5800 5801\n",
       "    event_number  (Event) int64 0 1 2 3 4 5 6 7 ... 111 112 113 114 115 116 117\n",
       "Data variables:\n",
       "    Date/Time     (Event, Press) datetime64[ns] NaT NaT NaT ... NaT NaT NaT\n",
       "    Latitude      (Event) float64 17.6 17.6 17.6 15.0 ... -5.632 -5.638 -5.65\n",
       "    Longitude     (Event) float64 -24.25 -24.25 -24.25 ... -34.9 -34.93 -34.96\n",
       "    Depth water   (Event, Press) float64 nan nan nan 4.97 ... nan nan nan nan\n",
       "    Temp          (Event, Press) float64 nan nan nan 22.3 ... nan nan nan nan</pre>"
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      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:       (Event: 118, Press: 5800)\n",
       "Coordinates:\n",
       "  * Event         (Event) object 'M106_322-2' 'M106_322-3' ... 'M106_434-1'\n",
       "  * Press         (Press) int64 2 3 4 5 6 7 8 ... 5796 5797 5798 5799 5800 5801\n",
       "    event_number  (Event) int64 0 1 2 3 4 5 6 7 ... 111 112 113 114 115 116 117\n",
       "Data variables:\n",
       "    Date/Time     (Event, Press) datetime64[ns] NaT NaT NaT ... NaT NaT NaT\n",
       "    Latitude      (Event) float64 17.6 17.6 17.6 15.0 ... -5.632 -5.638 -5.65\n",
       "    Longitude     (Event) float64 -24.25 -24.25 -24.25 ... -34.9 -34.93 -34.96\n",
       "    Depth water   (Event, Press) float64 nan nan nan 4.97 ... nan nan nan nan\n",
       "    Temp          (Event, Press) float64 nan nan nan 22.3 ... nan nan nan nan"
      ]
     },
     "metadata": {},
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    }
   ],
   "source": [
    "display(ship_track)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "associate-figure",
   "metadata": {},
   "source": [
    "## Load NEMO data\n",
    "\n",
    "Load a high-resolution temperature field for the time covered by the ship track (April / May 2014)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "employed-special",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/opt/tljh/user/envs/py_xoak/lib/python3.8/site-packages/dask/array/numpy_compat.py:40: RuntimeWarning: invalid value encountered in true_divide\n",
      "  x = np.divide(x1, x2, out)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 9.28 s, sys: 2.35 s, total: 11.6 s\n",
      "Wall time: 6.61 s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "\n",
    "temperature = xr.open_dataset(\n",
    "    \"/data/iAtlantic/ocean-only/VIKING20X.L46-KKG36107B/nemo/output/1_VIKING20X.L46-KKG36107B_1m_20140101_20141231_grid_T.nc\",\n",
    "    chunks={\"time_counter\": 1, \"deptht\": 2}\n",
    ").rename({\n",
    "    \"time_counter\": \"time\",\n",
    "    \"nav_lat\": \"latitude\",\n",
    "    \"nav_lon\": \"longitude\",\n",
    "}).drop(\n",
    "    [\"time_centered\", ]\n",
    ").set_coords(\n",
    "    [\"latitude\", \"longitude\"]\n",
    ").votemper.rename(\"temperature\")\n",
    "\n",
    "temperature = temperature.where(temperature != 0)\n",
    "\n",
    "# select april / may and average\n",
    "temperature = temperature.isel(time=slice(3, 4)).mean(\"time\")\n",
    "\n",
    "temperature = temperature.load()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "silver-protest",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "        [21.160793, 21.156168, 21.155823, ...,       nan,       nan,\n",
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       "        [21.202835, 21.199614, 21.198017, ...,       nan,       nan,\n",
       "               nan],\n",
       "...\n",
       "        [      nan,       nan,       nan, ...,       nan,       nan,\n",
       "               nan],\n",
       "        [      nan,       nan,       nan, ...,       nan,       nan,\n",
       "               nan],\n",
       "        [      nan,       nan,       nan, ...,       nan,       nan,\n",
       "               nan]],\n",
       "\n",
       "       [[      nan,       nan,       nan, ...,       nan,       nan,\n",
       "               nan],\n",
       "        [      nan,       nan,       nan, ...,       nan,       nan,\n",
       "               nan],\n",
       "        [      nan,       nan,       nan, ...,       nan,       nan,\n",
       "               nan],\n",
       "        ...,\n",
       "        [      nan,       nan,       nan, ...,       nan,       nan,\n",
       "               nan],\n",
       "        [      nan,       nan,       nan, ...,       nan,       nan,\n",
       "               nan],\n",
       "        [      nan,       nan,       nan, ...,       nan,       nan,\n",
       "               nan]]], dtype=float32)\n",
       "Coordinates:\n",
       "    latitude   (y, x) float32 -34.01 -34.01 -34.01 -34.01 ... 61.44 61.42 61.41\n",
       "    longitude  (y, x) float32 -98.45 -98.4 -98.35 -98.3 ... 32.22 32.27 32.31\n",
       "  * deptht     (deptht) float32 3.047 9.454 16.36 ... 5.625e+03 5.875e+03\n",
       "Dimensions without coordinates: y, x</pre>"
      ],
      "text/plain": [
       "<xarray.DataArray 'temperature' (deptht: 46, y: 2499, x: 2404)>\n",
       "array([[[21.087828, 21.08608 , 21.084333, ...,       nan,       nan,\n",
       "               nan],\n",
       "        [21.173595, 21.169056, 21.168697, ...,       nan,       nan,\n",
       "               nan],\n",
       "        [21.215607, 21.21233 , 21.210712, ...,       nan,       nan,\n",
       "               nan],\n",
       "        ...,\n",
       "        [      nan,       nan,       nan, ...,       nan,       nan,\n",
       "               nan],\n",
       "        [      nan,       nan,       nan, ...,       nan,       nan,\n",
       "               nan],\n",
       "        [      nan,       nan,       nan, ...,       nan,       nan,\n",
       "               nan]],\n",
       "\n",
       "       [[21.07487 , 21.07303 , 21.07119 , ...,       nan,       nan,\n",
       "               nan],\n",
       "        [21.160793, 21.156168, 21.155823, ...,       nan,       nan,\n",
       "               nan],\n",
       "        [21.202835, 21.199614, 21.198017, ...,       nan,       nan,\n",
       "               nan],\n",
       "...\n",
       "        [      nan,       nan,       nan, ...,       nan,       nan,\n",
       "               nan],\n",
       "        [      nan,       nan,       nan, ...,       nan,       nan,\n",
       "               nan],\n",
       "        [      nan,       nan,       nan, ...,       nan,       nan,\n",
       "               nan]],\n",
       "\n",
       "       [[      nan,       nan,       nan, ...,       nan,       nan,\n",
       "               nan],\n",
       "        [      nan,       nan,       nan, ...,       nan,       nan,\n",
       "               nan],\n",
       "        [      nan,       nan,       nan, ...,       nan,       nan,\n",
       "               nan],\n",
       "        ...,\n",
       "        [      nan,       nan,       nan, ...,       nan,       nan,\n",
       "               nan],\n",
       "        [      nan,       nan,       nan, ...,       nan,       nan,\n",
       "               nan],\n",
       "        [      nan,       nan,       nan, ...,       nan,       nan,\n",
       "               nan]]], dtype=float32)\n",
       "Coordinates:\n",
       "    latitude   (y, x) float32 -34.01 -34.01 -34.01 -34.01 ... 61.44 61.42 61.41\n",
       "    longitude  (y, x) float32 -98.45 -98.4 -98.35 -98.3 ... 32.22 32.27 32.31\n",
       "  * deptht     (deptht) float32 3.047 9.454 16.36 ... 5.625e+03 5.875e+03\n",
       "Dimensions without coordinates: y, x"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "display(temperature)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "alleged-palace",
   "metadata": {},
   "source": [
    "## Have a look at both data sets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "according-commission",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/opt/tljh/user/envs/py_xoak/lib/python3.8/site-packages/cartopy/mpl/geoaxes.py:1597: UserWarning: The input coordinates to pcolormesh are interpreted as cell centers, but are not monotonically increasing or decreasing. This may lead to incorrectly calculated cell edges, in which case, please supply explicit cell edges to pcolormesh.\n",
      "  X, Y, C, shading = self._pcolorargs('pcolormesh', *args,\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x432 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(\n",
    "    1, 1,\n",
    "    subplot_kw=dict(projection=ccrs.PlateCarree()),\n",
    "    figsize=(15, 6)\n",
    ")\n",
    "\n",
    "temperature.isel(deptht=0).plot.pcolormesh(\n",
    "    x=\"longitude\", y=\"latitude\",\n",
    "    ax=ax,\n",
    "    transform=ccrs.PlateCarree(),\n",
    "    levels=np.arange(10, 32, 2),\n",
    "    cmap=cmocean.cm.thermal,\n",
    ")\n",
    "\n",
    "ship_track.isel(Press=0).plot.scatter(\n",
    "    x=\"Longitude\", y=\"Latitude\", hue=\"event_number\", s=10,\n",
    "    cmap=\"Purples\",\n",
    "    transform=ccrs.PlateCarree(),\n",
    "    ax=ax\n",
    ")\n",
    "\n",
    "ax.coastlines();\n",
    "ax.set_extent((-90, 22, -15, 26));\n",
    "ax.set_title(\"NEMO surface temperature and M106 positions\");\n",
    "fig.tight_layout()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "congressional-fetish",
   "metadata": {},
   "source": [
    "## Select along track data with Xoak"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "valuable-tamil",
   "metadata": {},
   "source": [
    "Build index."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "super-knowing",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 1.73 s, sys: 118 ms, total: 1.85 s\n",
      "Wall time: 1.85 s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "\n",
    "temperature.xoak.set_index([\"latitude\", \"longitude\"], \"s2point\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "derived-point",
   "metadata": {},
   "source": [
    "Select data along the lat/lon track first. Then select respective depth levels."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "amazing-racing",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 53.9 ms, sys: 15.6 ms, total: 69.5 ms\n",
      "Wall time: 67.6 ms\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<pre>&lt;xarray.DataArray &#x27;temperature&#x27; (Event: 118, Press: 5800)&gt;\n",
       "array([[      nan,       nan,       nan, ...,       nan,       nan,\n",
       "              nan],\n",
       "       [      nan,       nan,       nan, ...,       nan,       nan,\n",
       "              nan],\n",
       "       [      nan,       nan, 22.304874, ...,       nan,       nan,\n",
       "              nan],\n",
       "       ...,\n",
       "       [      nan, 29.040377, 29.040377, ...,       nan,       nan,\n",
       "              nan],\n",
       "       [      nan,       nan,       nan, ...,       nan,       nan,\n",
       "              nan],\n",
       "       [      nan,       nan,       nan, ...,       nan,       nan,\n",
       "              nan]], dtype=float32)\n",
       "Coordinates:\n",
       "    latitude      (Event) float32 17.62 17.62 17.62 ... -5.641 -5.641 -5.641\n",
       "    longitude     (Event) float32 -24.25 -24.25 -24.25 ... -34.9 -34.95 -34.95\n",
       "    deptht        (Event, Press) float64 5.875e+03 5.875e+03 ... 5.875e+03\n",
       "  * Event         (Event) object &#x27;M106_322-2&#x27; &#x27;M106_322-3&#x27; ... &#x27;M106_434-1&#x27;\n",
       "  * Press         (Press) int64 2 3 4 5 6 7 8 ... 5796 5797 5798 5799 5800 5801\n",
       "    event_number  (Event) int64 0 1 2 3 4 5 6 7 ... 111 112 113 114 115 116 117</pre>"
      ],
      "text/plain": [
       "<xarray.DataArray 'temperature' (Event: 118, Press: 5800)>\n",
       "array([[      nan,       nan,       nan, ...,       nan,       nan,\n",
       "              nan],\n",
       "       [      nan,       nan,       nan, ...,       nan,       nan,\n",
       "              nan],\n",
       "       [      nan,       nan, 22.304874, ...,       nan,       nan,\n",
       "              nan],\n",
       "       ...,\n",
       "       [      nan, 29.040377, 29.040377, ...,       nan,       nan,\n",
       "              nan],\n",
       "       [      nan,       nan,       nan, ...,       nan,       nan,\n",
       "              nan],\n",
       "       [      nan,       nan,       nan, ...,       nan,       nan,\n",
       "              nan]], dtype=float32)\n",
       "Coordinates:\n",
       "    latitude      (Event) float32 17.62 17.62 17.62 ... -5.641 -5.641 -5.641\n",
       "    longitude     (Event) float32 -24.25 -24.25 -24.25 ... -34.9 -34.95 -34.95\n",
       "    deptht        (Event, Press) float64 5.875e+03 5.875e+03 ... 5.875e+03\n",
       "  * Event         (Event) object 'M106_322-2' 'M106_322-3' ... 'M106_434-1'\n",
       "  * Press         (Press) int64 2 3 4 5 6 7 8 ... 5796 5797 5798 5799 5800 5801\n",
       "    event_number  (Event) int64 0 1 2 3 4 5 6 7 ... 111 112 113 114 115 116 117"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%time\n",
    "\n",
    "temperature_ship_track = temperature.xoak.sel(\n",
    "    latitude=ship_track.Latitude,\n",
    "    longitude=ship_track.Longitude\n",
    ")\n",
    "temperature_ship_track = temperature_ship_track.sel(\n",
    "    deptht=ship_track[\"Depth water\"], method=\"nearest\"\n",
    ")\n",
    "temperature_ship_track"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dangerous-strength",
   "metadata": {},
   "source": [
    "## Compare NEMO to in-situ temperature"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "medium-leave",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x936 with 6 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(\n",
    "    3, 1,\n",
    "    figsize=(10, 13),\n",
    "    sharex=True\n",
    ")\n",
    "\n",
    "ship_track.Temp.plot(\n",
    "    x=\"event_number\", y=\"Press\",\n",
    "    cmap=cmocean.cm.thermal,\n",
    "    levels=np.arange(0, 32, 2),\n",
    "    ax=ax[0]\n",
    ")\n",
    "ax[0].invert_yaxis()\n",
    "ax[0].set_title(\"M106 temperature data\")\n",
    "\n",
    "temperature_ship_track.plot(\n",
    "    x=\"event_number\", y=\"Press\",\n",
    "    cmap=cmocean.cm.thermal,\n",
    "    levels=np.arange(0, 32, 2),\n",
    "    ax=ax[1]\n",
    ")\n",
    "ax[1].invert_yaxis()\n",
    "ax[1].set_title(\"same locations selected from NEMO dataset\")\n",
    "\n",
    "(ship_track.Temp - temperature_ship_track).rename(\"temperature difference\").plot(\n",
    "    x=\"event_number\", y=\"Press\",\n",
    "    cmap=cmocean.cm.balance,\n",
    "    levels=np.arange(-4.5, 5.5, 1),\n",
    "    ax=ax[2]\n",
    ")\n",
    "ax[2].invert_yaxis()\n",
    "ax[2].set_title(\"difference M106 minus NEMO\")\n",
    "\n",
    "fig.tight_layout()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "hundred-castle",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x936 with 6 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(\n",
    "    3, 1,\n",
    "    figsize=(10, 13),\n",
    "    sharex=True\n",
    ")\n",
    "\n",
    "ship_track.Temp.isel(Press=slice(None, 500)).plot(\n",
    "    x=\"event_number\", y=\"Press\",\n",
    "    cmap=cmocean.cm.thermal,\n",
    "    levels=np.arange(0, 32, 2),\n",
    "    ax=ax[0]\n",
    ")\n",
    "ax[0].invert_yaxis()\n",
    "ax[0].set_title(\"M106 temperature data\")\n",
    "\n",
    "temperature_ship_track.isel(Press=slice(None, 500)).plot(\n",
    "    x=\"event_number\", y=\"Press\",\n",
    "    cmap=cmocean.cm.thermal,\n",
    "    levels=np.arange(0, 32, 2),\n",
    "    ax=ax[1]\n",
    ")\n",
    "ax[1].invert_yaxis()\n",
    "ax[1].set_title(\"same locations selected from NEMO dataset\")\n",
    "\n",
    "(ship_track.Temp - temperature_ship_track).rename(\"temperature difference\").isel(Press=slice(None, 500)).plot(\n",
    "    x=\"event_number\", y=\"Press\",\n",
    "    cmap=cmocean.cm.balance,\n",
    "    levels=np.arange(-4.5, 5.5, 1),\n",
    "    ax=ax[2]\n",
    ")\n",
    "ax[2].invert_yaxis()\n",
    "ax[2].set_title(\"difference M106 minus NEMO\")\n",
    "\n",
    "fig.tight_layout()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "social-cricket",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "p = plt.scatter(\n",
    "    ship_track.Temp, temperature_ship_track,\n",
    "    s=3, alpha=0.1\n",
    ")\n",
    "p.axes.set_xlabel(\"M106 measured temperature\")\n",
    "p.axes.set_ylabel(\"simulated temperature\")\n",
    "p.axes.set_title(\"Measured vs. simulated temperature\")\n",
    "p.axes.grid();"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python [conda env:py_xoak]",
   "language": "python",
   "name": "conda-env-py_xoak-py"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}