transect_vs_WOA13.ipynb

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   "source": [
    "### Validation figure [transect]\n",
    "#### - This is an adaptation of Fig. 3. I am making a temperature transect north-south through the slope  with ispycnals overlaid and comparing that to WOA13 climatology. "
   ]
  },
  {
   "cell_type": "code",
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   "id": "656b390d-afe2-47e3-8ef2-bdfdedc9411d",
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   "source": [
    "%matplotlib inline\n",
    "\n",
    "import cosima_cookbook as cc\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import netCDF4 as nc\n",
    "import cartopy.crs as ccrs\n",
    "import matplotlib.path as mpath\n",
    "import xarray as xr\n",
    "import cmocean.cm as cmocean\n",
    "from collections import OrderedDict\n",
    "import cftime\n",
    "import glob,os\n",
    "import matplotlib.colors as col\n",
    "import xarray.ufuncs as xu\n",
    "import gsw\n",
    "\n",
    "import logging\n",
    "logging.captureWarnings(True)\n",
    "logging.getLogger('py.warnings').setLevel(logging.ERROR)\n",
    "\n",
    "from dask.distributed import Client\n",
    "from glob import glob     #or else you get an error when trying to load the WOA files\n",
    "\n",
    "##not sure why this is here\n",
    "from matplotlib.cm import ScalarMappable\n",
    "\n",
    "# set to your figure directory location:\n",
    "#figdir = '/g/data/v45/akm157/figures/Antarctic_tides_fixed/temp_transect_movie/'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "4de91434-1789-43c6-8b83-2a4bd15308f0",
   "metadata": {},
   "outputs": [
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       "    <div style=\"margin-left: 48px;\">\n",
       "        <h3 style=\"margin-bottom: 0px;\">Client</h3>\n",
       "        <p style=\"color: #9D9D9D; margin-bottom: 0px;\">Client-def90116-d2d5-11ed-9eff-0000076afe80</p>\n",
       "        <table style=\"width: 100%; text-align: left;\">\n",
       "\n",
       "        <tr>\n",
       "        \n",
       "            <td style=\"text-align: left;\"><strong>Connection method:</strong> Cluster object</td>\n",
       "            <td style=\"text-align: left;\"><strong>Cluster type:</strong> distributed.LocalCluster</td>\n",
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       "\n",
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       "                    <strong>Dashboard: </strong> <a href=\"/proxy/8787/status\" target=\"_blank\">/proxy/8787/status</a>\n",
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       "            <summary style=\"margin-bottom: 20px;\"><h3 style=\"display: inline;\">Cluster Info</h3></summary>\n",
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       "    <div style=\"margin-left: 48px;\">\n",
       "        <h3 style=\"margin-bottom: 0px; margin-top: 0px;\">LocalCluster</h3>\n",
       "        <p style=\"color: #9D9D9D; margin-bottom: 0px;\">47215115</p>\n",
       "        <table style=\"width: 100%; text-align: left;\">\n",
       "            <tr>\n",
       "                <td style=\"text-align: left;\">\n",
       "                    <strong>Dashboard:</strong> <a href=\"/proxy/8787/status\" target=\"_blank\">/proxy/8787/status</a>\n",
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       "                    <strong>Workers:</strong> 7\n",
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       "                    <strong>Total threads:</strong> 7\n",
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       "                    <strong>Total memory:</strong> 32.00 GiB\n",
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       "            \n",
       "            <tr>\n",
       "    <td style=\"text-align: left;\"><strong>Status:</strong> running</td>\n",
       "    <td style=\"text-align: left;\"><strong>Using processes:</strong> True</td>\n",
       "</tr>\n",
       "\n",
       "            \n",
       "        </table>\n",
       "\n",
       "        <details>\n",
       "            <summary style=\"margin-bottom: 20px;\">\n",
       "                <h3 style=\"display: inline;\">Scheduler Info</h3>\n",
       "            </summary>\n",
       "\n",
       "            <div style=\"\">\n",
       "    <div>\n",
       "        <div style=\"width: 24px; height: 24px; background-color: #FFF7E5; border: 3px solid #FF6132; border-radius: 5px; position: absolute;\"> </div>\n",
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       "            <h3 style=\"margin-bottom: 0px;\">Scheduler</h3>\n",
       "            <p style=\"color: #9D9D9D; margin-bottom: 0px;\">Scheduler-57dee013-3901-4f3f-9127-ac6b4c631a06</p>\n",
       "            <table style=\"width: 100%; text-align: left;\">\n",
       "                <tr>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Comm:</strong> tcp://127.0.0.1:41597\n",
       "                    </td>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Workers:</strong> 7\n",
       "                    </td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Dashboard:</strong> <a href=\"/proxy/8787/status\" target=\"_blank\">/proxy/8787/status</a>\n",
       "                    </td>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Total threads:</strong> 7\n",
       "                    </td>\n",
       "                </tr>\n",
       "                <tr>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Started:</strong> Just now\n",
       "                    </td>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Total memory:</strong> 32.00 GiB\n",
       "                    </td>\n",
       "                </tr>\n",
       "            </table>\n",
       "        </div>\n",
       "    </div>\n",
       "\n",
       "    <details style=\"margin-left: 48px;\">\n",
       "        <summary style=\"margin-bottom: 20px;\">\n",
       "            <h3 style=\"display: inline;\">Workers</h3>\n",
       "        </summary>\n",
       "\n",
       "        \n",
       "        <div style=\"margin-bottom: 20px;\">\n",
       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
       "            <div style=\"margin-left: 48px;\">\n",
       "            <details>\n",
       "                <summary>\n",
       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 0</h4>\n",
       "                </summary>\n",
       "                <table style=\"width: 100%; text-align: left;\">\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Comm: </strong> tcp://127.0.0.1:43153\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Total threads: </strong> 1\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Dashboard: </strong> <a href=\"/proxy/39171/status\" target=\"_blank\">/proxy/39171/status</a>\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Memory: </strong> 4.57 GiB\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Nanny: </strong> tcp://127.0.0.1:33219\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\"></td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
       "                            <strong>Local directory: </strong> /jobfs/78559377.gadi-pbs/dask-worker-space/worker-7k3fq3vu\n",
       "                        </td>\n",
       "                    </tr>\n",
       "\n",
       "                    \n",
       "\n",
       "                    \n",
       "\n",
       "                </table>\n",
       "            </details>\n",
       "            </div>\n",
       "        </div>\n",
       "        \n",
       "        <div style=\"margin-bottom: 20px;\">\n",
       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
       "            <div style=\"margin-left: 48px;\">\n",
       "            <details>\n",
       "                <summary>\n",
       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 1</h4>\n",
       "                </summary>\n",
       "                <table style=\"width: 100%; text-align: left;\">\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Comm: </strong> tcp://127.0.0.1:37341\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Total threads: </strong> 1\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Dashboard: </strong> <a href=\"/proxy/37819/status\" target=\"_blank\">/proxy/37819/status</a>\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Memory: </strong> 4.57 GiB\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Nanny: </strong> tcp://127.0.0.1:44831\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\"></td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
       "                            <strong>Local directory: </strong> /jobfs/78559377.gadi-pbs/dask-worker-space/worker-w7wewe3o\n",
       "                        </td>\n",
       "                    </tr>\n",
       "\n",
       "                    \n",
       "\n",
       "                    \n",
       "\n",
       "                </table>\n",
       "            </details>\n",
       "            </div>\n",
       "        </div>\n",
       "        \n",
       "        <div style=\"margin-bottom: 20px;\">\n",
       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
       "            <div style=\"margin-left: 48px;\">\n",
       "            <details>\n",
       "                <summary>\n",
       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 2</h4>\n",
       "                </summary>\n",
       "                <table style=\"width: 100%; text-align: left;\">\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Comm: </strong> tcp://127.0.0.1:34771\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Total threads: </strong> 1\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Dashboard: </strong> <a href=\"/proxy/46115/status\" target=\"_blank\">/proxy/46115/status</a>\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Memory: </strong> 4.57 GiB\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Nanny: </strong> tcp://127.0.0.1:39071\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\"></td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
       "                            <strong>Local directory: </strong> /jobfs/78559377.gadi-pbs/dask-worker-space/worker-j2hfped2\n",
       "                        </td>\n",
       "                    </tr>\n",
       "\n",
       "                    \n",
       "\n",
       "                    \n",
       "\n",
       "                </table>\n",
       "            </details>\n",
       "            </div>\n",
       "        </div>\n",
       "        \n",
       "        <div style=\"margin-bottom: 20px;\">\n",
       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
       "            <div style=\"margin-left: 48px;\">\n",
       "            <details>\n",
       "                <summary>\n",
       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 3</h4>\n",
       "                </summary>\n",
       "                <table style=\"width: 100%; text-align: left;\">\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Comm: </strong> tcp://127.0.0.1:36383\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Total threads: </strong> 1\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Dashboard: </strong> <a href=\"/proxy/42775/status\" target=\"_blank\">/proxy/42775/status</a>\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Memory: </strong> 4.57 GiB\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Nanny: </strong> tcp://127.0.0.1:40391\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\"></td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
       "                            <strong>Local directory: </strong> /jobfs/78559377.gadi-pbs/dask-worker-space/worker-tl65qitc\n",
       "                        </td>\n",
       "                    </tr>\n",
       "\n",
       "                    \n",
       "\n",
       "                    \n",
       "\n",
       "                </table>\n",
       "            </details>\n",
       "            </div>\n",
       "        </div>\n",
       "        \n",
       "        <div style=\"margin-bottom: 20px;\">\n",
       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
       "            <div style=\"margin-left: 48px;\">\n",
       "            <details>\n",
       "                <summary>\n",
       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 4</h4>\n",
       "                </summary>\n",
       "                <table style=\"width: 100%; text-align: left;\">\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Comm: </strong> tcp://127.0.0.1:34881\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Total threads: </strong> 1\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Dashboard: </strong> <a href=\"/proxy/43267/status\" target=\"_blank\">/proxy/43267/status</a>\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Memory: </strong> 4.57 GiB\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Nanny: </strong> tcp://127.0.0.1:40537\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\"></td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
       "                            <strong>Local directory: </strong> /jobfs/78559377.gadi-pbs/dask-worker-space/worker-gygi3zkx\n",
       "                        </td>\n",
       "                    </tr>\n",
       "\n",
       "                    \n",
       "\n",
       "                    \n",
       "\n",
       "                </table>\n",
       "            </details>\n",
       "            </div>\n",
       "        </div>\n",
       "        \n",
       "        <div style=\"margin-bottom: 20px;\">\n",
       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
       "            <div style=\"margin-left: 48px;\">\n",
       "            <details>\n",
       "                <summary>\n",
       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 5</h4>\n",
       "                </summary>\n",
       "                <table style=\"width: 100%; text-align: left;\">\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Comm: </strong> tcp://127.0.0.1:34687\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Total threads: </strong> 1\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Dashboard: </strong> <a href=\"/proxy/37657/status\" target=\"_blank\">/proxy/37657/status</a>\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Memory: </strong> 4.57 GiB\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Nanny: </strong> tcp://127.0.0.1:44073\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\"></td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
       "                            <strong>Local directory: </strong> /jobfs/78559377.gadi-pbs/dask-worker-space/worker-wflcb8fy\n",
       "                        </td>\n",
       "                    </tr>\n",
       "\n",
       "                    \n",
       "\n",
       "                    \n",
       "\n",
       "                </table>\n",
       "            </details>\n",
       "            </div>\n",
       "        </div>\n",
       "        \n",
       "        <div style=\"margin-bottom: 20px;\">\n",
       "            <div style=\"width: 24px; height: 24px; background-color: #DBF5FF; border: 3px solid #4CC9FF; border-radius: 5px; position: absolute;\"> </div>\n",
       "            <div style=\"margin-left: 48px;\">\n",
       "            <details>\n",
       "                <summary>\n",
       "                    <h4 style=\"margin-bottom: 0px; display: inline;\">Worker: 6</h4>\n",
       "                </summary>\n",
       "                <table style=\"width: 100%; text-align: left;\">\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Comm: </strong> tcp://127.0.0.1:33939\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Total threads: </strong> 1\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Dashboard: </strong> <a href=\"/proxy/41507/status\" target=\"_blank\">/proxy/41507/status</a>\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Memory: </strong> 4.57 GiB\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Nanny: </strong> tcp://127.0.0.1:34875\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\"></td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
       "                            <strong>Local directory: </strong> /jobfs/78559377.gadi-pbs/dask-worker-space/worker-_68hhhxr\n",
       "                        </td>\n",
       "                    </tr>\n",
       "\n",
       "                    \n",
       "\n",
       "                    \n",
       "\n",
       "                </table>\n",
       "            </details>\n",
       "            </div>\n",
       "        </div>\n",
       "        \n",
       "\n",
       "    </details>\n",
       "</div>\n",
       "\n",
       "        </details>\n",
       "    </div>\n",
       "</div>\n",
       "            </details>\n",
       "        \n",
       "\n",
       "    </div>\n",
       "</div>"
      ],
      "text/plain": [
       "<Client: 'tcp://127.0.0.1:41597' processes=7 threads=7, memory=32.00 GiB>"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "client = Client()\n",
    "client"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8fc607e6-2572-41c1-8f5a-a9b0f1f25895",
   "metadata": {},
   "source": [
    "### LOAD MODEL DATA"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "65d5b1bb-6cc0-4611-bef7-bb93f3ecd72a",
   "metadata": {
    "tags": []
   },
   "source": [
    "### 2013 to compare with WOA13"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "76982649-7c1f-4c99-9919-5b7276408c29",
   "metadata": {},
   "outputs": [],
   "source": [
    "master_session = cc.database.create_session('/g/data/ik11/databases/cosima_master.db')\n",
    "cycle3 = '01deg_jra55v140_iaf_cycle3'\n",
    "\n",
    "first_year = '2013'\n",
    "last_year = '2013'\n",
    "\n",
    "start_time=first_year+'-01-01'\n",
    "end_time=last_year+'-12-31'\n",
    "\n",
    "# set this to the rough region of interest:\n",
    "lon_slice  = slice(-258, -248)\n",
    "lat_slice  = slice(-67.5, -61)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "e0d50e3a-d3aa-4bcd-ab80-7caa24e6cf11",
   "metadata": {},
   "outputs": [],
   "source": [
    "# get temp and salt to calculate lines:\n",
    "temp = cc.querying.getvar(cycle3,'temp',master_session,\n",
    "                 start_time=start_time, end_time=end_time,frequency='1 monthly') - 273.15\n",
    "temp = temp.sel(yt_ocean=lat_slice).sel(xt_ocean=lon_slice)\n",
    "\n",
    "salt = cc.querying.getvar(cycle3,'salt',master_session,\n",
    "                 start_time=start_time, end_time=end_time,frequency='1 monthly')\n",
    "salt = salt.sel(yt_ocean=lat_slice).sel(xt_ocean=lon_slice)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a3df87b1-074c-44ec-b14f-addca41ffdc8",
   "metadata": {
    "tags": []
   },
   "source": [
    "#### Plot map of chosen transect"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "39ce8d90-de8c-442f-b68c-4d5d9a2628bf",
   "metadata": {},
   "outputs": [],
   "source": [
    "# load a sample slice of data to plot just for testing:\n",
    "#temp_slice = temp.sel(st_ocean=400,method='nearest').isel(time=0)\n",
    "temp_slice = temp.sel(st_ocean=400,method='nearest').mean('time')\n",
    "temp_slice = temp_slice.load()\n",
    "\n",
    "# import bathymetry and the land/ocean mask to add to plot:\n",
    "ht = cc.querying.getvar(cycle3,'ht' , master_session,n=1)\n",
    "ht = ht.sel(yt_ocean=lat_slice).sel(xt_ocean=lon_slice)\n",
    "# create land mask from the bathymetry:\n",
    "land_mask = np.squeeze(ht.values)*0\n",
    "land_mask[np.isnan(land_mask)]=1\n",
    "land_mask = np.where(land_mask==1,land_mask,np.nan)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "4dfbf691-25f6-4a1c-82af-6e58e7e54fdc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Latitude ($^\\\\circ$)')"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# define transect start and end points:\n",
    "# Change these values until you get the transect you want:\n",
    "lat0 = -66.8\n",
    "lat1=  -64.5\n",
    "lon0 = -250.2\n",
    "lon1 = -253 #-254\n",
    "\n",
    "fontsize=28\n",
    "\n",
    "fig=plt.figure(figsize=(10,10))\n",
    "ax0=plt.subplot(1,1,1)  \n",
    "# plot temperature:\n",
    "plt.pcolormesh(temp_slice.xt_ocean,temp_slice.yt_ocean,temp_slice, cmap=cmocean.thermal,\n",
    "              vmin=-2,vmax=0)\n",
    "cbar=plt.colorbar()\n",
    "#plt.clim((-2.1,.8))\n",
    "\n",
    "# plot transect location:\n",
    "plt.plot([lon0,lon1],[lat0,lat1],'r',linewidth='3')\n",
    "plt.xlim((-255, -248))\n",
    "plt.ylim((-67, -64))\n",
    "# plot bathymetry contours:\n",
    "plt.contour(ht.xt_ocean,ht.yt_ocean,ht,[500,550,700,1000,2000,3000],colors='k')\n",
    "plt.contourf(ht.xt_ocean,ht.yt_ocean,land_mask,colors='grey')\n",
    "plt.tick_params(labelsize=fontsize)\n",
    "\n",
    "cbar.ax.tick_params(labelsize=18)\n",
    "cbar.ax.tick_params(labelsize=18)\n",
    "cbar.set_label(r'Temperature ($^\\circ$C)', fontsize = 18,labelpad=5)\n",
    "# this removes colorbar whilst maintaing figure size\n",
    "fig.delaxes(fig.axes[1])\n",
    "\n",
    "ax0.set_xticklabels([-256+359,-254+359,-252+359,-250+359,-248+359])\n",
    "plt.xlabel('Longitude ($^\\circ$)',fontsize=fontsize)\n",
    "plt.ylabel('Latitude ($^\\circ$)',fontsize=fontsize)\n",
    "\n",
    "#figdir = '/home/581/ns3783/Scripts/Figures/New_codes_CFD/Figures'\n",
    "#filestr = figdir+'/Fig2_map.png'\n",
    "#plt.savefig(filestr,dpi=600,bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "69d8e26f-3201-488e-888f-04766bc2adaf",
   "metadata": {},
   "outputs": [],
   "source": [
    "#temp"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e133f63e-bba7-4470-8f37-c2c6102ae249",
   "metadata": {},
   "source": [
    "### extract nearest points along transect "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "47548ce2-3948-48d0-ad5f-3cef2bf03401",
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   "source": [
    "# Note that this cell is slow, but it will load the entire timeseries along the transect \n",
    "# (which means you could later make movies of this or look at different snapshots):\n",
    "#this is wrong for salt and T because I have avg them\n",
    "\n",
    "lons = [lon0, lon1]\n",
    "lats = [lat0, lat1]\n",
    "\n",
    "yt_ocean = temp.yt_ocean\n",
    "\n",
    "# get latitude of points along transect:\n",
    "lat_transect = yt_ocean.sel(yt_ocean = slice(lats[0],lats[1])).values\n",
    "\n",
    "# calculate slope and intercept of transect line:\n",
    "slope = (lons[0] - lons[1])/(lats[0]-lats[1])\n",
    "intercept = lons[0] - slope * lats[0]\n",
    "\n",
    "# get longitude along transect and convert to xarray:\n",
    "lon_transect = slope * lat_transect + intercept\n",
    "lon_transect = xr.DataArray(lon_transect, dims = 'yt_ocean')\n",
    "\n",
    "# convert to xarray:\n",
    "lat_transect = xr.DataArray(lat_transect, dims = 'yt_ocean')\n",
    "\n",
    "# Extract temp and salt along transect:\n",
    "temp_transect = temp.sel(xt_ocean = lon_transect, yt_ocean = lat_transect, method = 'nearest')\n",
    "salt_transect = salt.sel(xt_ocean = lon_transect, yt_ocean = lat_transect, method = 'nearest')\n",
    "\n",
    "# bathymetry along transect:\n",
    "ht_transect = ht.sel(xt_ocean = lon_transect, yt_ocean = lat_transect, method = 'nearest')\n",
    "ht_transect = ht_transect.fillna(0)\n",
    "\n",
    "# calculate density along transect:\n",
    "# arrays for gsw to use\n",
    "depth_array = temp_transect*0 + temp_transect.st_ocean\n",
    "lat_array = temp_transect*0 + temp_transect.yt_ocean\n",
    "# need to convert practical salinity to absolute salinity:\n",
    "pressure = gsw.p_from_z(-depth_array,lat_array)\n",
    "# need to convert practical salinity to absolute salinity:\n",
    "salt_abs = gsw.SA_from_SP(salt_transect,pressure,lon_transect,lat_array)\n",
    "sigma0 = gsw.sigma0(salt_abs,temp_transect)\n",
    "# convert back to xarray for multiplying later:\n",
    "sigma0 = xr.DataArray(sigma0,\n",
    "                      coords = [temp_transect.time, temp_transect.st_ocean,temp_transect.yt_ocean],\n",
    "                      dims = ['time','st_ocean','yt_ocean'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "85e48737-a1bf-4bf3-8a7e-89f55fac43c2",
   "metadata": {},
   "outputs": [],
   "source": [
    "# load data before plotting:\n",
    "sigma0 = sigma0.load()\n",
    "temp_transect = temp_transect.load()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "1a4bdfb6-4af6-4ba7-b211-e7921244f134",
   "metadata": {},
   "outputs": [],
   "source": [
    "# averaging data to get a year product\n",
    "sigma0=sigma0.mean('time')\n",
    "temp_transect=temp_transect.mean('time')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2c31c5fe-d140-4d07-ba5d-90cc33def495",
   "metadata": {},
   "source": [
    "### LOAD WOA\n",
    "#### they are stored in /g/data/ik11/observations/\n",
    "#### woa13 and woa18, in the /01/ folder (which is the resolution - 1/10-degree, KDS75 vertical levels scheme)\n",
    "#### potential temperature, so need to convert to conservative temperature.\n",
    "#### average over all files to get annual average"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a45939b5-74ba-411f-9e21-747dce2936f3",
   "metadata": {
    "tags": []
   },
   "source": [
    "## WOA13"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "c5ff2a3f-cbbb-4633-9025-a3685058bc9c",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 1.6 ms, sys: 3.93 ms, total: 5.53 ms\n",
      "Wall time: 3.36 ms\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "\n",
    "path2files   = '/g/data/ik11/observations/woa13/01/'\n",
    "FileList = glob(path2files+'*.nc')\n",
    "FileList.sort()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "5d8e0810-732a-4f5c-8218-a8160ea9103d",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    " ds = xr.open_dataset('/g/data/ik11/observations/woa13/01/woa13_ts_01_mom01.nc').sel(GRID_X_T=lon_slice, GRID_Y_T=lat_slice)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "73b1d84c-3080-4d35-9d0c-5c195e3de5db",
   "metadata": {
    "tags": []
   },
   "outputs": [
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;temp&#x27; (time: 1, ZT: 75, GRID_Y_T: 147, GRID_X_T: 100)&gt;\n",
       "[1102500 values with dtype=float64]\n",
       "Coordinates:\n",
       "  * GRID_X_T  (GRID_X_T) float64 -257.9 -257.8 -257.7 ... -248.2 -248.1 -248.0\n",
       "  * GRID_Y_T  (GRID_Y_T) float64 -67.47 -67.42 -67.38 ... -61.13 -61.08 -61.03\n",
       "  * ZT        (ZT) float64 0.5413 1.681 2.94 ... 5.313e+03 5.511e+03 5.709e+03\n",
       "  * time      (time) object 0001-01-02 00:00:00\n",
       "Attributes:\n",
       "    long_name:  potential temperature calculated using teos10 from objectivel...\n",
       "    units:      degrees celsius</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'temp'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 1</li><li><span class='xr-has-index'>ZT</span>: 75</li><li><span class='xr-has-index'>GRID_Y_T</span>: 147</li><li><span class='xr-has-index'>GRID_X_T</span>: 100</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-2167b74a-cc3d-4a4a-84c9-263942a9392c' class='xr-array-in' type='checkbox' checked><label for='section-2167b74a-cc3d-4a4a-84c9-263942a9392c' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>...</span></div><div class='xr-array-data'><pre>[1102500 values with dtype=float64]</pre></div></div></li><li class='xr-section-item'><input id='section-97fbe6e2-9c82-40ca-9162-f75fbdfa20fb' class='xr-section-summary-in' type='checkbox'  checked><label for='section-97fbe6e2-9c82-40ca-9162-f75fbdfa20fb' class='xr-section-summary' >Coordinates: <span>(4)</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 class='xr-has-index'>GRID_X_T</span></div><div class='xr-var-dims'>(GRID_X_T)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-257.9 -257.8 ... -248.1 -248.0</div><input id='attrs-a428e69f-e4ba-4a5b-8a96-dff5c2a492cd' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a428e69f-e4ba-4a5b-8a96-dff5c2a492cd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1bd6a7a1-7cc3-4c9b-b748-5b7164791d92' class='xr-var-data-in' type='checkbox'><label for='data-1bd6a7a1-7cc3-4c9b-b748-5b7164791d92' 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>Nominal Longitude of T-cell center</dd><dt><span>units :</span></dt><dd>degree_east</dd><dt><span>modulo :</span></dt><dd>360.0</dd><dt><span>point_spacing :</span></dt><dd>even</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([-257.95, -257.85, -257.75, -257.65, -257.55, -257.45, -257.35, -257.25,\n",
       "       -257.15, -257.05, -256.95, -256.85, -256.75, -256.65, -256.55, -256.45,\n",
       "       -256.35, -256.25, -256.15, -256.05, -255.95, -255.85, -255.75, -255.65,\n",
       "       -255.55, -255.45, -255.35, -255.25, -255.15, -255.05, -254.95, -254.85,\n",
       "       -254.75, -254.65, -254.55, -254.45, -254.35, -254.25, -254.15, -254.05,\n",
       "       -253.95, -253.85, -253.75, -253.65, -253.55, -253.45, -253.35, -253.25,\n",
       "       -253.15, -253.05, -252.95, -252.85, -252.75, -252.65, -252.55, -252.45,\n",
       "       -252.35, -252.25, -252.15, -252.05, -251.95, -251.85, -251.75, -251.65,\n",
       "       -251.55, -251.45, -251.35, -251.25, -251.15, -251.05, -250.95, -250.85,\n",
       "       -250.75, -250.65, -250.55, -250.45, -250.35, -250.25, -250.15, -250.05,\n",
       "       -249.95, -249.85, -249.75, -249.65, -249.55, -249.45, -249.35, -249.25,\n",
       "       -249.15, -249.05, -248.95, -248.85, -248.75, -248.65, -248.55, -248.45,\n",
       "       -248.35, -248.25, -248.15, -248.05])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>GRID_Y_T</span></div><div class='xr-var-dims'>(GRID_Y_T)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-67.47 -67.42 ... -61.08 -61.03</div><input id='attrs-24cfe739-825a-4151-92b2-b4fd05140343' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-24cfe739-825a-4151-92b2-b4fd05140343' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d24a420f-07a7-4ea5-929c-d5d0e6f1c6ed' class='xr-var-data-in' type='checkbox'><label for='data-d24a420f-07a7-4ea5-929c-d5d0e6f1c6ed' 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>Nominal Latitude of T-cell center</dd><dt><span>units :</span></dt><dd>degree_north</dd><dt><span>point_spacing :</span></dt><dd>uneven</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([-67.46532 , -67.423081, -67.380842, -67.338602, -67.296363, -67.254123,\n",
       "       -67.211884, -67.169645, -67.127405, -67.085166, -67.042927, -67.000687,\n",
       "       -66.958448, -66.916209, -66.873969, -66.83173 , -66.789491, -66.747251,\n",
       "       -66.705012, -66.662772, -66.620533, -66.578294, -66.536054, -66.493815,\n",
       "       -66.451576, -66.409336, -66.367097, -66.324858, -66.282618, -66.240379,\n",
       "       -66.19814 , -66.1559  , -66.113661, -66.071422, -66.029182, -65.986943,\n",
       "       -65.944703, -65.902464, -65.860225, -65.817985, -65.775746, -65.733507,\n",
       "       -65.691267, -65.649028, -65.606789, -65.564549, -65.52231 , -65.480071,\n",
       "       -65.437831, -65.395592, -65.353352, -65.311113, -65.268874, -65.226634,\n",
       "       -65.184395, -65.142156, -65.099916, -65.057677, -65.015438, -64.973167,\n",
       "       -64.930829, -64.888424, -64.845953, -64.803414, -64.760808, -64.718134,\n",
       "       -64.675393, -64.632585, -64.589709, -64.546765, -64.503754, -64.460675,\n",
       "       -64.417528, -64.374313, -64.33103 , -64.287679, -64.244259, -64.200772,\n",
       "       -64.157216, -64.113591, -64.069898, -64.026136, -63.982306, -63.938406,\n",
       "       -63.894438, -63.850401, -63.806295, -63.76212 , -63.717875, -63.673561,\n",
       "       -63.629178, -63.584726, -63.540204, -63.495612, -63.45095 , -63.406219,\n",
       "       -63.361418, -63.316547, -63.271606, -63.226594, -63.181513, -63.136361,\n",
       "       -63.091139, -63.045847, -63.000484, -62.95505 , -62.909546, -62.863971,\n",
       "       -62.818325, -62.772608, -62.72682 , -62.680961, -62.635031, -62.58903 ,\n",
       "       -62.542957, -62.496813, -62.450598, -62.404311, -62.357952, -62.311521,\n",
       "       -62.265019, -62.218445, -62.171799, -62.125081, -62.07829 , -62.031428,\n",
       "       -61.984493, -61.937485, -61.890406, -61.843254, -61.796029, -61.748731,\n",
       "       -61.701361, -61.653918, -61.606402, -61.558813, -61.51115 , -61.463415,\n",
       "       -61.415606, -61.367724, -61.319769, -61.27174 , -61.223638, -61.175462,\n",
       "       -61.127212, -61.078889, -61.030491])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>ZT</span></div><div class='xr-var-dims'>(ZT)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.5413 1.681 ... 5.709e+03</div><input id='attrs-3b85a498-8dbb-417e-8c2b-229ab0cd9cdb' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3b85a498-8dbb-417e-8c2b-229ab0cd9cdb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0f1e5175-f558-4300-b935-bba977ae5147' class='xr-var-data-in' type='checkbox'><label for='data-0f1e5175-f558-4300-b935-bba977ae5147' 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>zt</dd><dt><span>units :</span></dt><dd>meters</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>point_spacing :</span></dt><dd>uneven</dd><dt><span>axis :</span></dt><dd>Z</dd></dl></div><div class='xr-var-data'><pre>array([5.412807e-01, 1.680735e+00, 2.939953e+00, 4.331522e+00, 5.869350e+00,\n",
       "       7.568810e+00, 9.446885e+00, 1.152234e+01, 1.381593e+01, 1.635055e+01,\n",
       "       1.915154e+01, 2.224687e+01, 2.566746e+01, 2.944746e+01, 3.362460e+01,\n",
       "       3.824057e+01, 4.334140e+01, 4.897796e+01, 5.520640e+01, 6.208874e+01,\n",
       "       6.969342e+01, 7.809601e+01, 8.737988e+01, 9.763699e+01, 1.089687e+02,\n",
       "       1.214869e+02, 1.353144e+02, 1.505868e+02, 1.674530e+02, 1.860765e+02,\n",
       "       2.066365e+02, 2.293296e+02, 2.543701e+02, 2.819920e+02, 3.124492e+02,\n",
       "       3.460166e+02, 3.829906e+02, 4.236883e+02, 4.684475e+02, 5.176241e+02,\n",
       "       5.715899e+02, 6.307275e+02, 6.954248e+02, 7.660668e+02, 8.430255e+02,\n",
       "       9.266482e+02, 1.017244e+03, 1.115068e+03, 1.220309e+03, 1.333076e+03,\n",
       "       1.453384e+03, 1.581154e+03, 1.716205e+03, 1.858264e+03, 2.006975e+03,\n",
       "       2.161913e+03, 2.322601e+03, 2.488533e+03, 2.659189e+03, 2.834054e+03,\n",
       "       3.012631e+03, 3.194453e+03, 3.379089e+03, 3.566145e+03, 3.755274e+03,\n",
       "       3.946166e+03, 4.138551e+03, 4.332197e+03, 4.526903e+03, 4.722497e+03,\n",
       "       4.918835e+03, 5.115794e+03, 5.313270e+03, 5.511177e+03, 5.709443e+03])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>0001-01-02 00:00:00</div><input id='attrs-29d779a8-80e0-4403-9a37-cb562e3e08d4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-29d779a8-80e0-4403-9a37-cb562e3e08d4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ec71b274-5bf0-4b40-bc8e-ce8f956781eb' class='xr-var-data-in' type='checkbox'><label for='data-ec71b274-5bf0-4b40-bc8e-ce8f956781eb' 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</dd><dt><span>cartesian_axis :</span></dt><dd>T</dd><dt><span>calendar_type :</span></dt><dd>GREGORIAN</dd></dl></div><div class='xr-var-data'><pre>array([cftime.DatetimeGregorian(1, 1, 2, 0, 0, 0, 0, has_year_zero=False)],\n",
       "      dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-fc9c9610-a59e-4b35-b577-64c0477c0de6' class='xr-section-summary-in' type='checkbox'  checked><label for='section-fc9c9610-a59e-4b35-b577-64c0477c0de6' class='xr-section-summary' >Attributes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>long_name :</span></dt><dd>potential temperature calculated using teos10 from objectively analysed mean fields for sea_water_temperature</dd><dt><span>units :</span></dt><dd>degrees celsius</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'temp' (time: 1, ZT: 75, GRID_Y_T: 147, GRID_X_T: 100)>\n",
       "[1102500 values with dtype=float64]\n",
       "Coordinates:\n",
       "  * GRID_X_T  (GRID_X_T) float64 -257.9 -257.8 -257.7 ... -248.2 -248.1 -248.0\n",
       "  * GRID_Y_T  (GRID_Y_T) float64 -67.47 -67.42 -67.38 ... -61.13 -61.08 -61.03\n",
       "  * ZT        (ZT) float64 0.5413 1.681 2.94 ... 5.313e+03 5.511e+03 5.709e+03\n",
       "  * time      (time) object 0001-01-02 00:00:00\n",
       "Attributes:\n",
       "    long_name:  potential temperature calculated using teos10 from objectivel...\n",
       "    units:      degrees celsius"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds.temp"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "a301c02a-60ef-49e0-bc37-6044c7fb17c8",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 31.8 s, sys: 6.02 s, total: 37.9 s\n",
      "Wall time: 55.3 s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "# set this to the rough region of interest:\n",
    "lon_slice  = slice(-258, -248)\n",
    "lat_slice  = slice(-67.5, -61)\n",
    "\n",
    "# Define file paths\n",
    "file_paths = FileList\n",
    "\n",
    "# Load data for each file and concatenate along time dimension\n",
    "ds_list = []\n",
    "for file_path in file_paths:\n",
    "    # Load data and select slices for GRID_X_T and GRID_Y_T dimensions\n",
    "    ds = xr.open_dataset(file_path).sel(GRID_X_T=lon_slice, GRID_Y_T=lat_slice)\n",
    "    ds_list.append(ds)\n",
    "\n",
    "# Concatenate datasets along time dimension\n",
    "ds_concat = xr.concat(ds_list, dim=\"time\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "01a8b121-f48d-4d4a-ad19-fee718aeda34",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
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       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  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:   (GRID_X_T: 100, GRID_Y_T: 147, ZT: 75, time: 12)\n",
       "Coordinates:\n",
       "  * GRID_X_T  (GRID_X_T) float64 -257.9 -257.8 -257.7 ... -248.2 -248.1 -248.0\n",
       "  * GRID_Y_T  (GRID_Y_T) float64 -67.47 -67.42 -67.38 ... -61.13 -61.08 -61.03\n",
       "  * ZT        (ZT) float64 0.5413 1.681 2.94 ... 5.313e+03 5.511e+03 5.709e+03\n",
       "  * time      (time) object 0001-01-02 00:00:00 ... 0001-01-13 00:00:00\n",
       "Data variables:\n",
       "    temp      (time, ZT, GRID_Y_T, GRID_X_T) float64 -0.8436 -0.8557 ... -0.7693\n",
       "    salt      (time, ZT, GRID_Y_T, GRID_X_T) float64 34.04 34.0 ... 34.71 34.71</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-1ef7b20e-b7ac-4deb-b525-9958a0773a44' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-1ef7b20e-b7ac-4deb-b525-9958a0773a44' 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'>GRID_X_T</span>: 100</li><li><span class='xr-has-index'>GRID_Y_T</span>: 147</li><li><span class='xr-has-index'>ZT</span>: 75</li><li><span class='xr-has-index'>time</span>: 12</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-147e9ccf-5289-47ab-94d3-0202ac85fde4' class='xr-section-summary-in' type='checkbox'  checked><label for='section-147e9ccf-5289-47ab-94d3-0202ac85fde4' class='xr-section-summary' >Coordinates: <span>(4)</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 class='xr-has-index'>GRID_X_T</span></div><div class='xr-var-dims'>(GRID_X_T)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-257.9 -257.8 ... -248.1 -248.0</div><input id='attrs-1217a247-e89c-4999-b7e0-aab7509c67ae' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1217a247-e89c-4999-b7e0-aab7509c67ae' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f8ef6d28-dcdb-4da2-b000-717b32442305' class='xr-var-data-in' type='checkbox'><label for='data-f8ef6d28-dcdb-4da2-b000-717b32442305' 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>Nominal Longitude of T-cell center</dd><dt><span>units :</span></dt><dd>degree_east</dd><dt><span>modulo :</span></dt><dd>360.0</dd><dt><span>point_spacing :</span></dt><dd>even</dd><dt><span>axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([-257.95, -257.85, -257.75, -257.65, -257.55, -257.45, -257.35, -257.25,\n",
       "       -257.15, -257.05, -256.95, -256.85, -256.75, -256.65, -256.55, -256.45,\n",
       "       -256.35, -256.25, -256.15, -256.05, -255.95, -255.85, -255.75, -255.65,\n",
       "       -255.55, -255.45, -255.35, -255.25, -255.15, -255.05, -254.95, -254.85,\n",
       "       -254.75, -254.65, -254.55, -254.45, -254.35, -254.25, -254.15, -254.05,\n",
       "       -253.95, -253.85, -253.75, -253.65, -253.55, -253.45, -253.35, -253.25,\n",
       "       -253.15, -253.05, -252.95, -252.85, -252.75, -252.65, -252.55, -252.45,\n",
       "       -252.35, -252.25, -252.15, -252.05, -251.95, -251.85, -251.75, -251.65,\n",
       "       -251.55, -251.45, -251.35, -251.25, -251.15, -251.05, -250.95, -250.85,\n",
       "       -250.75, -250.65, -250.55, -250.45, -250.35, -250.25, -250.15, -250.05,\n",
       "       -249.95, -249.85, -249.75, -249.65, -249.55, -249.45, -249.35, -249.25,\n",
       "       -249.15, -249.05, -248.95, -248.85, -248.75, -248.65, -248.55, -248.45,\n",
       "       -248.35, -248.25, -248.15, -248.05])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>GRID_Y_T</span></div><div class='xr-var-dims'>(GRID_Y_T)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-67.47 -67.42 ... -61.08 -61.03</div><input id='attrs-1ce6beb0-c52d-473b-90d0-839224efbb20' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1ce6beb0-c52d-473b-90d0-839224efbb20' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6a41ed0e-4ebf-4d98-8ff6-ab8dce2fa258' class='xr-var-data-in' type='checkbox'><label for='data-6a41ed0e-4ebf-4d98-8ff6-ab8dce2fa258' 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>Nominal Latitude of T-cell center</dd><dt><span>units :</span></dt><dd>degree_north</dd><dt><span>point_spacing :</span></dt><dd>uneven</dd><dt><span>axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([-67.46532 , -67.423081, -67.380842, -67.338602, -67.296363, -67.254123,\n",
       "       -67.211884, -67.169645, -67.127405, -67.085166, -67.042927, -67.000687,\n",
       "       -66.958448, -66.916209, -66.873969, -66.83173 , -66.789491, -66.747251,\n",
       "       -66.705012, -66.662772, -66.620533, -66.578294, -66.536054, -66.493815,\n",
       "       -66.451576, -66.409336, -66.367097, -66.324858, -66.282618, -66.240379,\n",
       "       -66.19814 , -66.1559  , -66.113661, -66.071422, -66.029182, -65.986943,\n",
       "       -65.944703, -65.902464, -65.860225, -65.817985, -65.775746, -65.733507,\n",
       "       -65.691267, -65.649028, -65.606789, -65.564549, -65.52231 , -65.480071,\n",
       "       -65.437831, -65.395592, -65.353352, -65.311113, -65.268874, -65.226634,\n",
       "       -65.184395, -65.142156, -65.099916, -65.057677, -65.015438, -64.973167,\n",
       "       -64.930829, -64.888424, -64.845953, -64.803414, -64.760808, -64.718134,\n",
       "       -64.675393, -64.632585, -64.589709, -64.546765, -64.503754, -64.460675,\n",
       "       -64.417528, -64.374313, -64.33103 , -64.287679, -64.244259, -64.200772,\n",
       "       -64.157216, -64.113591, -64.069898, -64.026136, -63.982306, -63.938406,\n",
       "       -63.894438, -63.850401, -63.806295, -63.76212 , -63.717875, -63.673561,\n",
       "       -63.629178, -63.584726, -63.540204, -63.495612, -63.45095 , -63.406219,\n",
       "       -63.361418, -63.316547, -63.271606, -63.226594, -63.181513, -63.136361,\n",
       "       -63.091139, -63.045847, -63.000484, -62.95505 , -62.909546, -62.863971,\n",
       "       -62.818325, -62.772608, -62.72682 , -62.680961, -62.635031, -62.58903 ,\n",
       "       -62.542957, -62.496813, -62.450598, -62.404311, -62.357952, -62.311521,\n",
       "       -62.265019, -62.218445, -62.171799, -62.125081, -62.07829 , -62.031428,\n",
       "       -61.984493, -61.937485, -61.890406, -61.843254, -61.796029, -61.748731,\n",
       "       -61.701361, -61.653918, -61.606402, -61.558813, -61.51115 , -61.463415,\n",
       "       -61.415606, -61.367724, -61.319769, -61.27174 , -61.223638, -61.175462,\n",
       "       -61.127212, -61.078889, -61.030491])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>ZT</span></div><div class='xr-var-dims'>(ZT)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.5413 1.681 ... 5.709e+03</div><input id='attrs-4c725092-ffc4-4fee-adee-84ef6bea4dd2' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4c725092-ffc4-4fee-adee-84ef6bea4dd2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c0be16a8-d1d0-4174-8902-0e94ac479c6b' class='xr-var-data-in' type='checkbox'><label for='data-c0be16a8-d1d0-4174-8902-0e94ac479c6b' 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>zt</dd><dt><span>units :</span></dt><dd>meters</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>point_spacing :</span></dt><dd>uneven</dd><dt><span>axis :</span></dt><dd>Z</dd></dl></div><div class='xr-var-data'><pre>array([5.412807e-01, 1.680735e+00, 2.939953e+00, 4.331522e+00, 5.869350e+00,\n",
       "       7.568810e+00, 9.446885e+00, 1.152234e+01, 1.381593e+01, 1.635055e+01,\n",
       "       1.915154e+01, 2.224687e+01, 2.566746e+01, 2.944746e+01, 3.362460e+01,\n",
       "       3.824057e+01, 4.334140e+01, 4.897796e+01, 5.520640e+01, 6.208874e+01,\n",
       "       6.969342e+01, 7.809601e+01, 8.737988e+01, 9.763699e+01, 1.089687e+02,\n",
       "       1.214869e+02, 1.353144e+02, 1.505868e+02, 1.674530e+02, 1.860765e+02,\n",
       "       2.066365e+02, 2.293296e+02, 2.543701e+02, 2.819920e+02, 3.124492e+02,\n",
       "       3.460166e+02, 3.829906e+02, 4.236883e+02, 4.684475e+02, 5.176241e+02,\n",
       "       5.715899e+02, 6.307275e+02, 6.954248e+02, 7.660668e+02, 8.430255e+02,\n",
       "       9.266482e+02, 1.017244e+03, 1.115068e+03, 1.220309e+03, 1.333076e+03,\n",
       "       1.453384e+03, 1.581154e+03, 1.716205e+03, 1.858264e+03, 2.006975e+03,\n",
       "       2.161913e+03, 2.322601e+03, 2.488533e+03, 2.659189e+03, 2.834054e+03,\n",
       "       3.012631e+03, 3.194453e+03, 3.379089e+03, 3.566145e+03, 3.755274e+03,\n",
       "       3.946166e+03, 4.138551e+03, 4.332197e+03, 4.526903e+03, 4.722497e+03,\n",
       "       4.918835e+03, 5.115794e+03, 5.313270e+03, 5.511177e+03, 5.709443e+03])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>0001-01-02 00:00:00 ... 0001-01-...</div><input id='attrs-a8b31db6-04d7-472f-a49f-15021718655c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a8b31db6-04d7-472f-a49f-15021718655c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-51fa1b26-06df-417a-940d-d656ea031a3e' class='xr-var-data-in' type='checkbox'><label for='data-51fa1b26-06df-417a-940d-d656ea031a3e' 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</dd><dt><span>cartesian_axis :</span></dt><dd>T</dd><dt><span>calendar_type :</span></dt><dd>GREGORIAN</dd></dl></div><div class='xr-var-data'><pre>array([cftime.DatetimeGregorian(1, 1, 2, 0, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(1, 1, 3, 0, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(1, 1, 4, 0, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(1, 1, 5, 0, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(1, 1, 6, 0, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(1, 1, 7, 0, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(1, 1, 8, 0, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(1, 1, 9, 0, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(1, 1, 10, 0, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(1, 1, 11, 0, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(1, 1, 12, 0, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(1, 1, 13, 0, 0, 0, 0, has_year_zero=False)],\n",
       "      dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-74f2f05f-f900-4ff3-86f0-3d696ac9a726' class='xr-section-summary-in' type='checkbox'  checked><label for='section-74f2f05f-f900-4ff3-86f0-3d696ac9a726' class='xr-section-summary' >Data variables: <span>(2)</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>temp</span></div><div class='xr-var-dims'>(time, ZT, GRID_Y_T, GRID_X_T)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-0.8436 -0.8557 ... -0.7693 -0.7693</div><input id='attrs-b57b3680-e00b-4376-9d8d-96377c8e96e9' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b57b3680-e00b-4376-9d8d-96377c8e96e9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-bdde38d9-d707-454f-b117-8a186d25352d' class='xr-var-data-in' type='checkbox'><label for='data-bdde38d9-d707-454f-b117-8a186d25352d' 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>potential temperature calculated using teos10 from objectively analysed mean fields for sea_water_temperature</dd><dt><span>units :</span></dt><dd>degrees celsius</dd></dl></div><div class='xr-var-data'><pre>array([[[[-0.84361998, -0.85572998, -0.83660999, ..., -1.69121003,\n",
       "          -1.71344999, -1.73296   ],\n",
       "         [-0.84361998, -0.85572998, -0.83660999, ..., -1.69121003,\n",
       "          -1.71344999, -1.73296   ],\n",
       "         [-0.84361998, -0.85572998, -0.83660999, ..., -1.69121003,\n",
       "          -1.71344999, -1.73296   ],\n",
       "         ...,\n",
       "         [ 1.15854868,  1.16152019,  1.16647043, ...,  0.65871717,\n",
       "           0.67851186,  0.70072646],\n",
       "         [ 1.16740091,  1.17063457,  1.17594623, ...,  0.67674102,\n",
       "           0.69694717,  0.72054496],\n",
       "         [ 1.17610911,  1.17960615,  1.18528789, ...,  0.69615972,\n",
       "           0.71755646,  0.74219591]],\n",
       "\n",
       "        [[-0.84361998, -0.85572998, -0.83660999, ..., -1.69121003,\n",
       "          -1.71344999, -1.73296   ],\n",
       "         [-0.84361998, -0.85572998, -0.83660999, ..., -1.69121003,\n",
       "          -1.71344999, -1.73296   ],\n",
       "         [-0.84361998, -0.85572998, -0.83660999, ..., -1.69121003,\n",
       "          -1.71344999, -1.73296   ],\n",
       "...\n",
       "         [-0.49331101, -0.49392344, -0.49589166, ..., -0.76931924,\n",
       "          -0.76931924, -0.76931924],\n",
       "         [-0.49510245, -0.49623506, -0.49785247, ..., -0.76931924,\n",
       "          -0.76931924, -0.76931924],\n",
       "         [-0.4968886 , -0.4986908 , -0.49992463, ..., -0.76931924,\n",
       "          -0.76931924, -0.76931924]],\n",
       "\n",
       "        [[-2.09480881, -2.10181635, -2.10344493, ..., -1.60190558,\n",
       "          -1.57792136, -1.56835719],\n",
       "         [-2.09480881, -2.10181635, -2.10344493, ..., -1.60190558,\n",
       "          -1.57792136, -1.56835719],\n",
       "         [-2.09480881, -2.10181635, -2.10344493, ..., -1.60190558,\n",
       "          -1.57792136, -1.56835719],\n",
       "         ...,\n",
       "         [-0.49331101, -0.49392344, -0.49589166, ..., -0.76931924,\n",
       "          -0.76931924, -0.76931924],\n",
       "         [-0.49510245, -0.49623506, -0.49785247, ..., -0.76931924,\n",
       "          -0.76931924, -0.76931924],\n",
       "         [-0.4968886 , -0.4986908 , -0.49992463, ..., -0.76931924,\n",
       "          -0.76931924, -0.76931924]]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>salt</span></div><div class='xr-var-dims'>(time, ZT, GRID_Y_T, GRID_X_T)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>34.04 34.0 34.0 ... 34.71 34.71</div><input id='attrs-49b8a5c6-3ac0-433c-8eb5-3441d84680c5' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-49b8a5c6-3ac0-433c-8eb5-3441d84680c5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8834b3b6-3f51-482c-8b15-96a365a8b844' class='xr-var-data-in' type='checkbox'><label for='data-8834b3b6-3f51-482c-8b15-96a365a8b844' 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>Objectively analyzed mean fields for sea_water_salinity at standard depth levels.</dd><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>array([[[[34.03843609, 34.00323532, 33.99584645, ..., 33.6494032 ,\n",
       "          33.64722753, 33.64464744],\n",
       "         [34.03843609, 34.00323532, 33.99584645, ..., 33.6494032 ,\n",
       "          33.64722753, 33.64464744],\n",
       "         [34.03843609, 34.00323532, 33.99584645, ..., 33.6494032 ,\n",
       "          33.64722753, 33.64464744],\n",
       "         ...,\n",
       "         [33.79669543, 33.79401122, 33.79227684, ..., 33.81937906,\n",
       "          33.81971076, 33.8205094 ],\n",
       "         [33.80416577, 33.80168536, 33.80013625, ..., 33.81812846,\n",
       "          33.8182232 , 33.81887387],\n",
       "         [33.81156659, 33.80928972, 33.80792819, ..., 33.81696769,\n",
       "          33.81681757, 33.8172811 ]],\n",
       "\n",
       "        [[34.04532278, 34.01185608, 34.00447242, ..., 33.65847471,\n",
       "          33.65659183, 33.65428914],\n",
       "         [34.04532278, 34.01185608, 34.00447242, ..., 33.65847471,\n",
       "          33.65659183, 33.65428914],\n",
       "         [34.04532278, 34.01185608, 34.00447242, ..., 33.65847471,\n",
       "          33.65659183, 33.65428914],\n",
       "...\n",
       "         [34.73490143, 34.73490143, 34.73490143, ..., 34.70872002,\n",
       "          34.70874759, 34.71104406],\n",
       "         [34.73490143, 34.73490143, 34.73490143, ..., 34.70868683,\n",
       "          34.70868683, 34.71057077],\n",
       "         [34.73490143, 34.73490143, 34.73490143, ..., 34.70868683,\n",
       "          34.70868683, 34.71012347]],\n",
       "\n",
       "        [[34.73490143, 34.73490143, 34.73490143, ..., 34.72838974,\n",
       "          34.72838974, 34.72838974],\n",
       "         [34.73490143, 34.73490143, 34.73490143, ..., 34.72838974,\n",
       "          34.72838974, 34.72838974],\n",
       "         [34.73490143, 34.73490143, 34.73490143, ..., 34.72838974,\n",
       "          34.72838974, 34.72838974],\n",
       "         ...,\n",
       "         [34.73490143, 34.73490143, 34.73490143, ..., 34.70872002,\n",
       "          34.70874759, 34.71104406],\n",
       "         [34.73490143, 34.73490143, 34.73490143, ..., 34.70868683,\n",
       "          34.70868683, 34.71057077],\n",
       "         [34.73490143, 34.73490143, 34.73490143, ..., 34.70868683,\n",
       "          34.70868683, 34.71012347]]]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b394fe63-5387-4d49-bad0-93a9ee10f601' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-b394fe63-5387-4d49-bad0-93a9ee10f601' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:   (GRID_X_T: 100, GRID_Y_T: 147, ZT: 75, time: 12)\n",
       "Coordinates:\n",
       "  * GRID_X_T  (GRID_X_T) float64 -257.9 -257.8 -257.7 ... -248.2 -248.1 -248.0\n",
       "  * GRID_Y_T  (GRID_Y_T) float64 -67.47 -67.42 -67.38 ... -61.13 -61.08 -61.03\n",
       "  * ZT        (ZT) float64 0.5413 1.681 2.94 ... 5.313e+03 5.511e+03 5.709e+03\n",
       "  * time      (time) object 0001-01-02 00:00:00 ... 0001-01-13 00:00:00\n",
       "Data variables:\n",
       "    temp      (time, ZT, GRID_Y_T, GRID_X_T) float64 -0.8436 -0.8557 ... -0.7693\n",
       "    salt      (time, ZT, GRID_Y_T, GRID_X_T) float64 34.04 34.0 ... 34.71 34.71"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds_concat"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "2325ee4b-5b64-4fd8-8a0f-0f5a9ef49001",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "# Convert potential temperature to conservative temperature\n",
    "ds_concat = ds_concat.load()\n",
    "\n",
    "# define the conversion function\n",
    "def convert_temp(temp, salt, depth):\n",
    "    # create a boolean mask for NaN values\n",
    "    mask = np.isnan(temp) | np.isnan(salt) | np.isnan(depth)\n",
    "    # calculate potential temperature for non-NaN values\n",
    "    pt = np.where(mask, np.nan, gsw.conversions.pt_from_CT(salt, temp))\n",
    "    # calculate conservative temperature for non-NaN values\n",
    "    ct = np.where(mask, np.nan, gsw.conversions.CT_from_pt(salt, pt))\n",
    "    return ct\n",
    "\n",
    "# apply the function to the temp variable in ds_concat\n",
    "ds_concat['temp_conserv'] = xr.apply_ufunc(convert_temp, ds_concat.temp, ds_concat.salt,ds_concat.ZT)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "a01e2d4c-76f7-478b-a852-a6c8cba53dee",
   "metadata": {
    "tags": []
   },
   "outputs": [
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       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  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:       (GRID_X_T: 100, GRID_Y_T: 147, ZT: 75, time: 12)\n",
       "Coordinates:\n",
       "  * GRID_X_T      (GRID_X_T) float64 -257.9 -257.8 -257.7 ... -248.1 -248.0\n",
       "  * GRID_Y_T      (GRID_Y_T) float64 -67.47 -67.42 -67.38 ... -61.08 -61.03\n",
       "  * ZT            (ZT) float64 0.5413 1.681 2.94 ... 5.511e+03 5.709e+03\n",
       "  * time          (time) object 0001-01-02 00:00:00 ... 0001-01-13 00:00:00\n",
       "Data variables:\n",
       "    temp          (time, ZT, GRID_Y_T, GRID_X_T) float64 -0.8436 ... -0.7693\n",
       "    salt          (time, ZT, GRID_Y_T, GRID_X_T) float64 34.04 34.0 ... 34.71\n",
       "    temp_conserv  (time, ZT, GRID_Y_T, GRID_X_T) float64 -0.8436 ... -0.7693</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-159f1c08-22e9-461c-9e6a-0cdc4c6d6a6e' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-159f1c08-22e9-461c-9e6a-0cdc4c6d6a6e' 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'>GRID_X_T</span>: 100</li><li><span class='xr-has-index'>GRID_Y_T</span>: 147</li><li><span class='xr-has-index'>ZT</span>: 75</li><li><span class='xr-has-index'>time</span>: 12</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-4fe6630a-438b-4e19-aafb-9417399772ea' class='xr-section-summary-in' type='checkbox'  checked><label for='section-4fe6630a-438b-4e19-aafb-9417399772ea' class='xr-section-summary' >Coordinates: <span>(4)</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 class='xr-has-index'>GRID_X_T</span></div><div class='xr-var-dims'>(GRID_X_T)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-257.9 -257.8 ... -248.1 -248.0</div><input id='attrs-eced81e0-dad3-46a8-a5fa-fb3cb17bf195' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-eced81e0-dad3-46a8-a5fa-fb3cb17bf195' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-04cf0ed5-60ea-4a5b-bdb3-6ceeaa2b64a4' class='xr-var-data-in' type='checkbox'><label for='data-04cf0ed5-60ea-4a5b-bdb3-6ceeaa2b64a4' 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([-257.95, -257.85, -257.75, -257.65, -257.55, -257.45, -257.35, -257.25,\n",
       "       -257.15, -257.05, -256.95, -256.85, -256.75, -256.65, -256.55, -256.45,\n",
       "       -256.35, -256.25, -256.15, -256.05, -255.95, -255.85, -255.75, -255.65,\n",
       "       -255.55, -255.45, -255.35, -255.25, -255.15, -255.05, -254.95, -254.85,\n",
       "       -254.75, -254.65, -254.55, -254.45, -254.35, -254.25, -254.15, -254.05,\n",
       "       -253.95, -253.85, -253.75, -253.65, -253.55, -253.45, -253.35, -253.25,\n",
       "       -253.15, -253.05, -252.95, -252.85, -252.75, -252.65, -252.55, -252.45,\n",
       "       -252.35, -252.25, -252.15, -252.05, -251.95, -251.85, -251.75, -251.65,\n",
       "       -251.55, -251.45, -251.35, -251.25, -251.15, -251.05, -250.95, -250.85,\n",
       "       -250.75, -250.65, -250.55, -250.45, -250.35, -250.25, -250.15, -250.05,\n",
       "       -249.95, -249.85, -249.75, -249.65, -249.55, -249.45, -249.35, -249.25,\n",
       "       -249.15, -249.05, -248.95, -248.85, -248.75, -248.65, -248.55, -248.45,\n",
       "       -248.35, -248.25, -248.15, -248.05])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>GRID_Y_T</span></div><div class='xr-var-dims'>(GRID_Y_T)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-67.47 -67.42 ... -61.08 -61.03</div><input id='attrs-af6e48d0-8c78-4ad7-8d20-e68185db894b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-af6e48d0-8c78-4ad7-8d20-e68185db894b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fea7182d-390f-4069-9a23-50d7b433e6dc' class='xr-var-data-in' type='checkbox'><label for='data-fea7182d-390f-4069-9a23-50d7b433e6dc' 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([-67.46532 , -67.423081, -67.380842, -67.338602, -67.296363, -67.254123,\n",
       "       -67.211884, -67.169645, -67.127405, -67.085166, -67.042927, -67.000687,\n",
       "       -66.958448, -66.916209, -66.873969, -66.83173 , -66.789491, -66.747251,\n",
       "       -66.705012, -66.662772, -66.620533, -66.578294, -66.536054, -66.493815,\n",
       "       -66.451576, -66.409336, -66.367097, -66.324858, -66.282618, -66.240379,\n",
       "       -66.19814 , -66.1559  , -66.113661, -66.071422, -66.029182, -65.986943,\n",
       "       -65.944703, -65.902464, -65.860225, -65.817985, -65.775746, -65.733507,\n",
       "       -65.691267, -65.649028, -65.606789, -65.564549, -65.52231 , -65.480071,\n",
       "       -65.437831, -65.395592, -65.353352, -65.311113, -65.268874, -65.226634,\n",
       "       -65.184395, -65.142156, -65.099916, -65.057677, -65.015438, -64.973167,\n",
       "       -64.930829, -64.888424, -64.845953, -64.803414, -64.760808, -64.718134,\n",
       "       -64.675393, -64.632585, -64.589709, -64.546765, -64.503754, -64.460675,\n",
       "       -64.417528, -64.374313, -64.33103 , -64.287679, -64.244259, -64.200772,\n",
       "       -64.157216, -64.113591, -64.069898, -64.026136, -63.982306, -63.938406,\n",
       "       -63.894438, -63.850401, -63.806295, -63.76212 , -63.717875, -63.673561,\n",
       "       -63.629178, -63.584726, -63.540204, -63.495612, -63.45095 , -63.406219,\n",
       "       -63.361418, -63.316547, -63.271606, -63.226594, -63.181513, -63.136361,\n",
       "       -63.091139, -63.045847, -63.000484, -62.95505 , -62.909546, -62.863971,\n",
       "       -62.818325, -62.772608, -62.72682 , -62.680961, -62.635031, -62.58903 ,\n",
       "       -62.542957, -62.496813, -62.450598, -62.404311, -62.357952, -62.311521,\n",
       "       -62.265019, -62.218445, -62.171799, -62.125081, -62.07829 , -62.031428,\n",
       "       -61.984493, -61.937485, -61.890406, -61.843254, -61.796029, -61.748731,\n",
       "       -61.701361, -61.653918, -61.606402, -61.558813, -61.51115 , -61.463415,\n",
       "       -61.415606, -61.367724, -61.319769, -61.27174 , -61.223638, -61.175462,\n",
       "       -61.127212, -61.078889, -61.030491])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>ZT</span></div><div class='xr-var-dims'>(ZT)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.5413 1.681 ... 5.709e+03</div><input id='attrs-12e4d25a-c2a6-4244-a78f-deb78ee5cdec' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-12e4d25a-c2a6-4244-a78f-deb78ee5cdec' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-14b7386c-e1b4-42fe-aca3-73068f0e58b0' class='xr-var-data-in' type='checkbox'><label for='data-14b7386c-e1b4-42fe-aca3-73068f0e58b0' 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([5.412807e-01, 1.680735e+00, 2.939953e+00, 4.331522e+00, 5.869350e+00,\n",
       "       7.568810e+00, 9.446885e+00, 1.152234e+01, 1.381593e+01, 1.635055e+01,\n",
       "       1.915154e+01, 2.224687e+01, 2.566746e+01, 2.944746e+01, 3.362460e+01,\n",
       "       3.824057e+01, 4.334140e+01, 4.897796e+01, 5.520640e+01, 6.208874e+01,\n",
       "       6.969342e+01, 7.809601e+01, 8.737988e+01, 9.763699e+01, 1.089687e+02,\n",
       "       1.214869e+02, 1.353144e+02, 1.505868e+02, 1.674530e+02, 1.860765e+02,\n",
       "       2.066365e+02, 2.293296e+02, 2.543701e+02, 2.819920e+02, 3.124492e+02,\n",
       "       3.460166e+02, 3.829906e+02, 4.236883e+02, 4.684475e+02, 5.176241e+02,\n",
       "       5.715899e+02, 6.307275e+02, 6.954248e+02, 7.660668e+02, 8.430255e+02,\n",
       "       9.266482e+02, 1.017244e+03, 1.115068e+03, 1.220309e+03, 1.333076e+03,\n",
       "       1.453384e+03, 1.581154e+03, 1.716205e+03, 1.858264e+03, 2.006975e+03,\n",
       "       2.161913e+03, 2.322601e+03, 2.488533e+03, 2.659189e+03, 2.834054e+03,\n",
       "       3.012631e+03, 3.194453e+03, 3.379089e+03, 3.566145e+03, 3.755274e+03,\n",
       "       3.946166e+03, 4.138551e+03, 4.332197e+03, 4.526903e+03, 4.722497e+03,\n",
       "       4.918835e+03, 5.115794e+03, 5.313270e+03, 5.511177e+03, 5.709443e+03])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>0001-01-02 00:00:00 ... 0001-01-...</div><input id='attrs-737d48ea-ed47-403f-9d67-fe0a5599dd09' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-737d48ea-ed47-403f-9d67-fe0a5599dd09' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-da00e795-c1b0-4c2e-a9f3-e05c092433ca' class='xr-var-data-in' type='checkbox'><label for='data-da00e795-c1b0-4c2e-a9f3-e05c092433ca' 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([cftime.DatetimeGregorian(1, 1, 2, 0, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(1, 1, 3, 0, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(1, 1, 4, 0, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(1, 1, 5, 0, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(1, 1, 6, 0, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(1, 1, 7, 0, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(1, 1, 8, 0, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(1, 1, 9, 0, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(1, 1, 10, 0, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(1, 1, 11, 0, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(1, 1, 12, 0, 0, 0, 0, has_year_zero=False),\n",
       "       cftime.DatetimeGregorian(1, 1, 13, 0, 0, 0, 0, has_year_zero=False)],\n",
       "      dtype=object)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-526955bc-8197-4a68-979b-814074f1961f' class='xr-section-summary-in' type='checkbox'  checked><label for='section-526955bc-8197-4a68-979b-814074f1961f' class='xr-section-summary' >Data variables: <span>(3)</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>temp</span></div><div class='xr-var-dims'>(time, ZT, GRID_Y_T, GRID_X_T)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-0.8436 -0.8557 ... -0.7693 -0.7693</div><input id='attrs-60c8eee6-ff28-4233-a9d3-388a6b47be37' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-60c8eee6-ff28-4233-a9d3-388a6b47be37' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fcc2112e-54af-4f74-b70f-963c8ccf7ea7' class='xr-var-data-in' type='checkbox'><label for='data-fcc2112e-54af-4f74-b70f-963c8ccf7ea7' 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>potential temperature calculated using teos10 from objectively analysed mean fields for sea_water_temperature</dd><dt><span>units :</span></dt><dd>degrees celsius</dd></dl></div><div class='xr-var-data'><pre>array([[[[-0.84361998, -0.85572998, -0.83660999, ..., -1.69121003,\n",
       "          -1.71344999, -1.73296   ],\n",
       "         [-0.84361998, -0.85572998, -0.83660999, ..., -1.69121003,\n",
       "          -1.71344999, -1.73296   ],\n",
       "         [-0.84361998, -0.85572998, -0.83660999, ..., -1.69121003,\n",
       "          -1.71344999, -1.73296   ],\n",
       "         ...,\n",
       "         [ 1.15854868,  1.16152019,  1.16647043, ...,  0.65871717,\n",
       "           0.67851186,  0.70072646],\n",
       "         [ 1.16740091,  1.17063457,  1.17594623, ...,  0.67674102,\n",
       "           0.69694717,  0.72054496],\n",
       "         [ 1.17610911,  1.17960615,  1.18528789, ...,  0.69615972,\n",
       "           0.71755646,  0.74219591]],\n",
       "\n",
       "        [[-0.84361998, -0.85572998, -0.83660999, ..., -1.69121003,\n",
       "          -1.71344999, -1.73296   ],\n",
       "         [-0.84361998, -0.85572998, -0.83660999, ..., -1.69121003,\n",
       "          -1.71344999, -1.73296   ],\n",
       "         [-0.84361998, -0.85572998, -0.83660999, ..., -1.69121003,\n",
       "          -1.71344999, -1.73296   ],\n",
       "...\n",
       "         [-0.49331101, -0.49392344, -0.49589166, ..., -0.76931924,\n",
       "          -0.76931924, -0.76931924],\n",
       "         [-0.49510245, -0.49623506, -0.49785247, ..., -0.76931924,\n",
       "          -0.76931924, -0.76931924],\n",
       "         [-0.4968886 , -0.4986908 , -0.49992463, ..., -0.76931924,\n",
       "          -0.76931924, -0.76931924]],\n",
       "\n",
       "        [[-2.09480881, -2.10181635, -2.10344493, ..., -1.60190558,\n",
       "          -1.57792136, -1.56835719],\n",
       "         [-2.09480881, -2.10181635, -2.10344493, ..., -1.60190558,\n",
       "          -1.57792136, -1.56835719],\n",
       "         [-2.09480881, -2.10181635, -2.10344493, ..., -1.60190558,\n",
       "          -1.57792136, -1.56835719],\n",
       "         ...,\n",
       "         [-0.49331101, -0.49392344, -0.49589166, ..., -0.76931924,\n",
       "          -0.76931924, -0.76931924],\n",
       "         [-0.49510245, -0.49623506, -0.49785247, ..., -0.76931924,\n",
       "          -0.76931924, -0.76931924],\n",
       "         [-0.4968886 , -0.4986908 , -0.49992463, ..., -0.76931924,\n",
       "          -0.76931924, -0.76931924]]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>salt</span></div><div class='xr-var-dims'>(time, ZT, GRID_Y_T, GRID_X_T)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>34.04 34.0 34.0 ... 34.71 34.71</div><input id='attrs-fb354377-3bf0-4376-898d-2463c182ca73' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-fb354377-3bf0-4376-898d-2463c182ca73' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-edd75066-448b-4206-8eed-6951fc9ef64a' class='xr-var-data-in' type='checkbox'><label for='data-edd75066-448b-4206-8eed-6951fc9ef64a' 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>Objectively analyzed mean fields for sea_water_salinity at standard depth levels.</dd><dt><span>units :</span></dt><dd>1</dd></dl></div><div class='xr-var-data'><pre>array([[[[34.03843609, 34.00323532, 33.99584645, ..., 33.6494032 ,\n",
       "          33.64722753, 33.64464744],\n",
       "         [34.03843609, 34.00323532, 33.99584645, ..., 33.6494032 ,\n",
       "          33.64722753, 33.64464744],\n",
       "         [34.03843609, 34.00323532, 33.99584645, ..., 33.6494032 ,\n",
       "          33.64722753, 33.64464744],\n",
       "         ...,\n",
       "         [33.79669543, 33.79401122, 33.79227684, ..., 33.81937906,\n",
       "          33.81971076, 33.8205094 ],\n",
       "         [33.80416577, 33.80168536, 33.80013625, ..., 33.81812846,\n",
       "          33.8182232 , 33.81887387],\n",
       "         [33.81156659, 33.80928972, 33.80792819, ..., 33.81696769,\n",
       "          33.81681757, 33.8172811 ]],\n",
       "\n",
       "        [[34.04532278, 34.01185608, 34.00447242, ..., 33.65847471,\n",
       "          33.65659183, 33.65428914],\n",
       "         [34.04532278, 34.01185608, 34.00447242, ..., 33.65847471,\n",
       "          33.65659183, 33.65428914],\n",
       "         [34.04532278, 34.01185608, 34.00447242, ..., 33.65847471,\n",
       "          33.65659183, 33.65428914],\n",
       "...\n",
       "         [34.73490143, 34.73490143, 34.73490143, ..., 34.70872002,\n",
       "          34.70874759, 34.71104406],\n",
       "         [34.73490143, 34.73490143, 34.73490143, ..., 34.70868683,\n",
       "          34.70868683, 34.71057077],\n",
       "         [34.73490143, 34.73490143, 34.73490143, ..., 34.70868683,\n",
       "          34.70868683, 34.71012347]],\n",
       "\n",
       "        [[34.73490143, 34.73490143, 34.73490143, ..., 34.72838974,\n",
       "          34.72838974, 34.72838974],\n",
       "         [34.73490143, 34.73490143, 34.73490143, ..., 34.72838974,\n",
       "          34.72838974, 34.72838974],\n",
       "         [34.73490143, 34.73490143, 34.73490143, ..., 34.72838974,\n",
       "          34.72838974, 34.72838974],\n",
       "         ...,\n",
       "         [34.73490143, 34.73490143, 34.73490143, ..., 34.70872002,\n",
       "          34.70874759, 34.71104406],\n",
       "         [34.73490143, 34.73490143, 34.73490143, ..., 34.70868683,\n",
       "          34.70868683, 34.71057077],\n",
       "         [34.73490143, 34.73490143, 34.73490143, ..., 34.70868683,\n",
       "          34.70868683, 34.71012347]]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>temp_conserv</span></div><div class='xr-var-dims'>(time, ZT, GRID_Y_T, GRID_X_T)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-0.8436 -0.8557 ... -0.7693 -0.7693</div><input id='attrs-8d0cb896-d510-4bc0-b16a-c119531309a0' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8d0cb896-d510-4bc0-b16a-c119531309a0' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fcbbad88-7cca-4d3a-acbf-60e2050a452d' class='xr-var-data-in' type='checkbox'><label for='data-fcbbad88-7cca-4d3a-acbf-60e2050a452d' 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([[[[-0.84361998, -0.85572998, -0.83660999, ..., -1.69121003,\n",
       "          -1.71344999, -1.73296   ],\n",
       "         [-0.84361998, -0.85572998, -0.83660999, ..., -1.69121003,\n",
       "          -1.71344999, -1.73296   ],\n",
       "         [-0.84361998, -0.85572998, -0.83660999, ..., -1.69121003,\n",
       "          -1.71344999, -1.73296   ],\n",
       "         ...,\n",
       "         [ 1.15854868,  1.16152019,  1.16647043, ...,  0.65871717,\n",
       "           0.67851186,  0.70072646],\n",
       "         [ 1.16740091,  1.17063457,  1.17594623, ...,  0.67674102,\n",
       "           0.69694717,  0.72054496],\n",
       "         [ 1.17610911,  1.17960615,  1.18528789, ...,  0.69615972,\n",
       "           0.71755646,  0.74219591]],\n",
       "\n",
       "        [[-0.84361998, -0.85572998, -0.83660999, ..., -1.69121003,\n",
       "          -1.71344999, -1.73296   ],\n",
       "         [-0.84361998, -0.85572998, -0.83660999, ..., -1.69121003,\n",
       "          -1.71344999, -1.73296   ],\n",
       "         [-0.84361998, -0.85572998, -0.83660999, ..., -1.69121003,\n",
       "          -1.71344999, -1.73296   ],\n",
       "...\n",
       "         [-0.49331101, -0.49392344, -0.49589166, ..., -0.76931924,\n",
       "          -0.76931924, -0.76931924],\n",
       "         [-0.49510245, -0.49623506, -0.49785247, ..., -0.76931924,\n",
       "          -0.76931924, -0.76931924],\n",
       "         [-0.4968886 , -0.4986908 , -0.49992463, ..., -0.76931924,\n",
       "          -0.76931924, -0.76931924]],\n",
       "\n",
       "        [[-2.09480881, -2.10181635, -2.10344493, ..., -1.60190558,\n",
       "          -1.57792136, -1.56835719],\n",
       "         [-2.09480881, -2.10181635, -2.10344493, ..., -1.60190558,\n",
       "          -1.57792136, -1.56835719],\n",
       "         [-2.09480881, -2.10181635, -2.10344493, ..., -1.60190558,\n",
       "          -1.57792136, -1.56835719],\n",
       "         ...,\n",
       "         [-0.49331101, -0.49392344, -0.49589166, ..., -0.76931924,\n",
       "          -0.76931924, -0.76931924],\n",
       "         [-0.49510245, -0.49623506, -0.49785247, ..., -0.76931924,\n",
       "          -0.76931924, -0.76931924],\n",
       "         [-0.4968886 , -0.4986908 , -0.49992463, ..., -0.76931924,\n",
       "          -0.76931924, -0.76931924]]]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e3b2330f-7716-40d4-8301-6625b33e9f14' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-e3b2330f-7716-40d4-8301-6625b33e9f14' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:       (GRID_X_T: 100, GRID_Y_T: 147, ZT: 75, time: 12)\n",
       "Coordinates:\n",
       "  * GRID_X_T      (GRID_X_T) float64 -257.9 -257.8 -257.7 ... -248.1 -248.0\n",
       "  * GRID_Y_T      (GRID_Y_T) float64 -67.47 -67.42 -67.38 ... -61.08 -61.03\n",
       "  * ZT            (ZT) float64 0.5413 1.681 2.94 ... 5.511e+03 5.709e+03\n",
       "  * time          (time) object 0001-01-02 00:00:00 ... 0001-01-13 00:00:00\n",
       "Data variables:\n",
       "    temp          (time, ZT, GRID_Y_T, GRID_X_T) float64 -0.8436 ... -0.7693\n",
       "    salt          (time, ZT, GRID_Y_T, GRID_X_T) float64 34.04 34.0 ... 34.71\n",
       "    temp_conserv  (time, ZT, GRID_Y_T, GRID_X_T) float64 -0.8436 ... -0.7693"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds_concat"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "09e87573-ed4d-4c6c-aad2-73accad03f8b",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<xarray.DataArray ()>\n",
      "array(True)\n"
     ]
    }
   ],
   "source": [
    "## looks like the function works now that I am not selecting nans. \n",
    "## But I am checking with this line. If it returns true, then they are different. \n",
    "print((ds_concat.temp != ds_concat.temp_conserv).any())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "8b97de03-a4dd-4b5f-b573-f4c70e7af52e",
   "metadata": {},
   "outputs": [],
   "source": [
    "## calculate annual average and create two independent variables \n",
    "temp_woa13 = ds_concat['temp_conserv'].groupby('time.year').mean(dim='time')\n",
    "sal_woa13 = ds_concat['salt'].groupby('time.year').mean(dim='time')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "6bbd890c-7c4d-4d65-850c-c6731101e0c1",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "## rename the dimensions to the same name as the model dimensions so I don't have to alter the code too much when plotting. \n",
    "temp_woa13 = temp_woa13.rename({'year': 'time', 'GRID_Y_T': 'yt_ocean', 'ZT': 'st_ocean', 'GRID_X_T': 'xt_ocean'})\n",
    "sal_woa13 = sal_woa13.rename({'year': 'time', 'GRID_Y_T': 'yt_ocean', 'ZT': 'st_ocean', 'GRID_X_T': 'xt_ocean'})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "4a242a6c-2e47-4a9c-bcc1-fd46e74756ad",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "## dropping the time dimension, as it is equal to 1 after averaging:\n",
    "temp_woa13 = temp_woa13.squeeze(dim='time')\n",
    "sal_woa13 = sal_woa13.squeeze(dim='time')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "6756a662-b8a0-4160-bf16-6f0ded9d17c9",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "## load variables\n",
    "temp_woa13 = temp_woa13.load()\n",
    "sal_woa13 = sal_woa13.load()"
   ]
  },
  {
   "cell_type": "raw",
   "id": "7c2fc19b-f6c0-4f15-88f0-757bcf849d82",
   "metadata": {
    "tags": []
   },
   "source": [
    "temp_woa13"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2a0c71bc-da27-4ece-ae77-1e70760d8f4b",
   "metadata": {
    "tags": []
   },
   "source": [
    "#### Plot map of chosen transect"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "6fe6aac6-417f-4e0f-a457-e11dad66f895",
   "metadata": {},
   "outputs": [],
   "source": [
    "# load a sample slice of data to plot just for testing:\n",
    "#temp_slice = temp.sel(st_ocean=400,method='nearest').isel(time=0)\n",
    "temp_slice2 = temp_woa13.sel(st_ocean=400,method='nearest')\n",
    "temp_slice2 = temp_slice2.load()\n",
    "\n",
    "# import bathymetry and the land/ocean mask to add to plot:\n",
    "ht = cc.querying.getvar(cycle3,'ht' , master_session,n=1)\n",
    "ht = ht.sel(yt_ocean=lat_slice).sel(xt_ocean=lon_slice)\n",
    "# create land mask from the bathymetry:\n",
    "land_mask = np.squeeze(ht.values)*0\n",
    "land_mask[np.isnan(land_mask)]=1\n",
    "land_mask = np.where(land_mask==1,land_mask,np.nan)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "403d04c7-3910-4f37-9959-f447f06a5d07",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1296x720 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# define transect start and end points:\n",
    "# Change these values until you get the transect you want:\n",
    "lat0 = -66.8\n",
    "lat1=  -64.5\n",
    "lon0 = -250.2\n",
    "lon1 = -253 #-254\n",
    "\n",
    "fontsize=28\n",
    "\n",
    "fig = plt.figure(1,figsize=(18,10))\n",
    "fig.subplots_adjust(top=0.88)\n",
    "\n",
    "ax0=plt.subplot(1,2,1)\n",
    "# plot temperature:\n",
    "plt.pcolormesh(temp_slice.xt_ocean,temp_slice.yt_ocean,temp_slice, cmap=cmocean.thermal,\n",
    "              vmin=-2,vmax=0)\n",
    "cbar=plt.colorbar()\n",
    "#plt.clim((-2.1,.8))\n",
    "\n",
    "# plot transect location:\n",
    "plt.plot([lon0,lon1],[lat0,lat1],'r',linewidth='3')\n",
    "plt.xlim((-255, -248))\n",
    "plt.ylim((-67, -64))\n",
    "# plot bathymetry contours:\n",
    "plt.contour(ht.xt_ocean,ht.yt_ocean,ht,[500,550,700,1000,2000,3000],colors='k')\n",
    "plt.contourf(ht.xt_ocean,ht.yt_ocean,land_mask,colors='grey')\n",
    "plt.tick_params(labelsize=fontsize)\n",
    "\n",
    "cbar.ax.tick_params(labelsize=18)\n",
    "cbar.ax.tick_params(labelsize=18)\n",
    "cbar.set_label(r'Temperature ($^\\circ$C)', fontsize = 18,labelpad=5)\n",
    "# this removes colorbar whilst maintaing figure size\n",
    "fig.delaxes(fig.axes[1])\n",
    "\n",
    "ax0.set_xticklabels([-256+359,-254+359,-252+359,-250+359,-248+359])\n",
    "plt.xlabel('Longitude ($^\\circ$)',fontsize=fontsize)\n",
    "plt.ylabel('Latitude ($^\\circ$)',fontsize=fontsize)\n",
    "plt.title('IAF3 (2013) at 400m',fontsize=fontsize)\n",
    "\n",
    "\n",
    "ax1=plt.subplot(1,2,2)\n",
    "# plot temperature:\n",
    "plt.pcolormesh(temp_slice2.xt_ocean,temp_slice2.yt_ocean,temp_slice2, cmap=cmocean.thermal,\n",
    "              vmin=-2,vmax=0)\n",
    "cbar=plt.colorbar()\n",
    "#plt.clim((-2.1,.8))\n",
    "\n",
    "# plot transect location:\n",
    "plt.plot([lon0,lon1],[lat0,lat1],'r',linewidth='3')\n",
    "plt.xlim((-255, -248))\n",
    "plt.ylim((-67, -64))\n",
    "# plot bathymetry contours:\n",
    "plt.contour(ht.xt_ocean,ht.yt_ocean,ht,[500,550,700,1000,2000,3000],colors='k')\n",
    "plt.contourf(ht.xt_ocean,ht.yt_ocean,land_mask,colors='grey')\n",
    "plt.tick_params(labelsize=fontsize)\n",
    "\n",
    "cbar.ax.tick_params(labelsize=fontsize)\n",
    "cbar.ax.tick_params(labelsize=fontsize)\n",
    "cbar.set_label(r'Temperature ($^\\circ$C)', fontsize = fontsize,labelpad=5)\n",
    "# this removes colorbar whilst maintaing figure size\n",
    "#fig.delaxes(fig.axes[1])\n",
    "\n",
    "ax0.set_xticklabels([-256+359,-254+359,-252+359,-250+359,-248+359])\n",
    "plt.xlabel('Longitude ($^\\circ$)',fontsize=fontsize)\n",
    "plt.ylabel('Latitude ($^\\circ$)',fontsize=fontsize)\n",
    "plt.title('WO13 at 400m',fontsize=fontsize)\n",
    "\n",
    "fig.tight_layout()\n",
    "figdir = '/g/data/v45/ns3783/ScriptsChapter3/Figures/'\n",
    "filestr = figdir+'/Fig_IAF3vsWO13_400m.png'\n",
    "plt.savefig(filestr,dpi=600,bbox_inches='tight')"
   ]
  },
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   "id": "0f7f2871-c908-4616-912a-d2a730c51bc2",
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   },
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       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;temp&#x27; (time: 15, st_ocean: 75, yt_ocean: 55)&gt;\n",
       "array([[[        nan,         nan,         nan, ..., -1.763794  ,\n",
       "         -1.768158  , -1.7616577 ],\n",
       "        [        nan,         nan,         nan, ..., -1.7609253 ,\n",
       "         -1.7658081 , -1.7592773 ],\n",
       "        [        nan,         nan,         nan, ..., -1.7591248 ,\n",
       "         -1.7643127 , -1.7577515 ],\n",
       "        ...,\n",
       "        [        nan,         nan,         nan, ...,         nan,\n",
       "                 nan,         nan],\n",
       "        [        nan,         nan,         nan, ...,         nan,\n",
       "                 nan,         nan],\n",
       "        [        nan,         nan,         nan, ...,         nan,\n",
       "                 nan,         nan]],\n",
       "\n",
       "       [[        nan,         nan,         nan, ..., -1.7475586 ,\n",
       "         -1.7432861 , -1.7437744 ],\n",
       "        [        nan,         nan,         nan, ..., -1.7457275 ,\n",
       "         -1.7415466 , -1.7423096 ],\n",
       "        [        nan,         nan,         nan, ..., -1.7441406 ,\n",
       "         -1.741272  , -1.7423096 ],\n",
       "...\n",
       "        [        nan,         nan,         nan, ...,         nan,\n",
       "                 nan,         nan],\n",
       "        [        nan,         nan,         nan, ...,         nan,\n",
       "                 nan,         nan],\n",
       "        [        nan,         nan,         nan, ...,         nan,\n",
       "                 nan,         nan]],\n",
       "\n",
       "       [[        nan,         nan,         nan, ...,  1.0309143 ,\n",
       "          1.0467224 ,  1.018219  ],\n",
       "        [        nan,         nan,         nan, ...,  1.0127869 ,\n",
       "          1.0283203 ,  1.0001221 ],\n",
       "        [        nan,         nan,         nan, ...,  0.9981079 ,\n",
       "          1.0150146 ,  0.9874573 ],\n",
       "        ...,\n",
       "        [        nan,         nan,         nan, ...,         nan,\n",
       "                 nan,         nan],\n",
       "        [        nan,         nan,         nan, ...,         nan,\n",
       "                 nan,         nan],\n",
       "        [        nan,         nan,         nan, ...,         nan,\n",
       "                 nan,         nan]]], dtype=float32)\n",
       "Coordinates:\n",
       "    xt_ocean  (yt_ocean) float64 -250.2 -250.2 -250.3 ... -252.8 -252.9 -252.9\n",
       "  * yt_ocean  (yt_ocean) float64 -66.79 -66.75 -66.71 ... -64.59 -64.55 -64.5\n",
       "  * st_ocean  (st_ocean) float64 0.5413 1.681 2.94 ... 5.511e+03 5.709e+03\n",
       "  * time      (time) datetime64[ns] 2012-10-16T12:00:00 ... 2013-12-16T12:00:00</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'temp'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 15</li><li><span class='xr-has-index'>st_ocean</span>: 75</li><li><span class='xr-has-index'>yt_ocean</span>: 55</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-af61311f-dd01-4408-8424-ee0f9f58a7e2' class='xr-array-in' type='checkbox' checked><label for='section-af61311f-dd01-4408-8424-ee0f9f58a7e2' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>nan nan nan nan -1.856 -1.853 -1.847 ... nan nan nan nan nan nan nan</span></div><div class='xr-array-data'><pre>array([[[        nan,         nan,         nan, ..., -1.763794  ,\n",
       "         -1.768158  , -1.7616577 ],\n",
       "        [        nan,         nan,         nan, ..., -1.7609253 ,\n",
       "         -1.7658081 , -1.7592773 ],\n",
       "        [        nan,         nan,         nan, ..., -1.7591248 ,\n",
       "         -1.7643127 , -1.7577515 ],\n",
       "        ...,\n",
       "        [        nan,         nan,         nan, ...,         nan,\n",
       "                 nan,         nan],\n",
       "        [        nan,         nan,         nan, ...,         nan,\n",
       "                 nan,         nan],\n",
       "        [        nan,         nan,         nan, ...,         nan,\n",
       "                 nan,         nan]],\n",
       "\n",
       "       [[        nan,         nan,         nan, ..., -1.7475586 ,\n",
       "         -1.7432861 , -1.7437744 ],\n",
       "        [        nan,         nan,         nan, ..., -1.7457275 ,\n",
       "         -1.7415466 , -1.7423096 ],\n",
       "        [        nan,         nan,         nan, ..., -1.7441406 ,\n",
       "         -1.741272  , -1.7423096 ],\n",
       "...\n",
       "        [        nan,         nan,         nan, ...,         nan,\n",
       "                 nan,         nan],\n",
       "        [        nan,         nan,         nan, ...,         nan,\n",
       "                 nan,         nan],\n",
       "        [        nan,         nan,         nan, ...,         nan,\n",
       "                 nan,         nan]],\n",
       "\n",
       "       [[        nan,         nan,         nan, ...,  1.0309143 ,\n",
       "          1.0467224 ,  1.018219  ],\n",
       "        [        nan,         nan,         nan, ...,  1.0127869 ,\n",
       "          1.0283203 ,  1.0001221 ],\n",
       "        [        nan,         nan,         nan, ...,  0.9981079 ,\n",
       "          1.0150146 ,  0.9874573 ],\n",
       "        ...,\n",
       "        [        nan,         nan,         nan, ...,         nan,\n",
       "                 nan,         nan],\n",
       "        [        nan,         nan,         nan, ...,         nan,\n",
       "                 nan,         nan],\n",
       "        [        nan,         nan,         nan, ...,         nan,\n",
       "                 nan,         nan]]], dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-402d6d85-67e4-44c9-928c-f22abad81dab' class='xr-section-summary-in' type='checkbox'  checked><label for='section-402d6d85-67e4-44c9-928c-f22abad81dab' class='xr-section-summary' >Coordinates: <span>(4)</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>xt_ocean</span></div><div class='xr-var-dims'>(yt_ocean)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-250.2 -250.2 ... -252.9 -252.9</div><input id='attrs-bca82ada-84e3-401e-8334-a7c872aad1b7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-bca82ada-84e3-401e-8334-a7c872aad1b7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6e762569-b282-49e0-acf3-b01b60dfbbf5' class='xr-var-data-in' type='checkbox'><label for='data-6e762569-b282-49e0-acf3-b01b60dfbbf5' 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>tcell longitude</dd><dt><span>units :</span></dt><dd>degrees_E</dd><dt><span>cartesian_axis :</span></dt><dd>X</dd></dl></div><div class='xr-var-data'><pre>array([-250.25, -250.25, -250.35, -250.35, -250.45, -250.45, -250.55, -250.55,\n",
       "       -250.65, -250.65, -250.75, -250.75, -250.85, -250.85, -250.95, -250.95,\n",
       "       -251.05, -251.05, -251.15, -251.15, -251.25, -251.25, -251.35, -251.35,\n",
       "       -251.45, -251.45, -251.55, -251.65, -251.65, -251.75, -251.75, -251.85,\n",
       "       -251.85, -251.95, -251.95, -252.05, -252.05, -252.15, -252.15, -252.25,\n",
       "       -252.25, -252.35, -252.35, -252.45, -252.45, -252.55, -252.55, -252.65,\n",
       "       -252.65, -252.75, -252.75, -252.85, -252.85, -252.95, -252.95])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>yt_ocean</span></div><div class='xr-var-dims'>(yt_ocean)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-66.79 -66.75 ... -64.55 -64.5</div><input id='attrs-86520cd7-0dd4-4e35-8483-ee39c2e945a4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-86520cd7-0dd4-4e35-8483-ee39c2e945a4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-28397cab-5e2b-4898-ad01-ba91293a518a' class='xr-var-data-in' type='checkbox'><label for='data-28397cab-5e2b-4898-ad01-ba91293a518a' 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>tcell latitude</dd><dt><span>units :</span></dt><dd>degrees_N</dd><dt><span>cartesian_axis :</span></dt><dd>Y</dd></dl></div><div class='xr-var-data'><pre>array([-66.789491, -66.747251, -66.705012, -66.662772, -66.620533, -66.578294,\n",
       "       -66.536054, -66.493815, -66.451576, -66.409336, -66.367097, -66.324858,\n",
       "       -66.282618, -66.240379, -66.19814 , -66.1559  , -66.113661, -66.071422,\n",
       "       -66.029182, -65.986943, -65.944703, -65.902464, -65.860225, -65.817985,\n",
       "       -65.775746, -65.733507, -65.691267, -65.649028, -65.606789, -65.564549,\n",
       "       -65.52231 , -65.480071, -65.437831, -65.395592, -65.353352, -65.311113,\n",
       "       -65.268874, -65.226634, -65.184395, -65.142156, -65.099916, -65.057677,\n",
       "       -65.015438, -64.973167, -64.930829, -64.888424, -64.845953, -64.803414,\n",
       "       -64.760808, -64.718134, -64.675393, -64.632585, -64.589709, -64.546765,\n",
       "       -64.503754])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>st_ocean</span></div><div class='xr-var-dims'>(st_ocean)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.5413 1.681 ... 5.709e+03</div><input id='attrs-e18b74ad-2700-4ebf-83a8-cd736ec66602' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e18b74ad-2700-4ebf-83a8-cd736ec66602' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e29525f9-ce40-4be3-85d2-50f5ca0aaaac' class='xr-var-data-in' type='checkbox'><label for='data-e29525f9-ce40-4be3-85d2-50f5ca0aaaac' 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>tcell zstar depth</dd><dt><span>units :</span></dt><dd>meters</dd><dt><span>cartesian_axis :</span></dt><dd>Z</dd><dt><span>positive :</span></dt><dd>down</dd><dt><span>edges :</span></dt><dd>st_edges_ocean</dd></dl></div><div class='xr-var-data'><pre>array([5.412807e-01, 1.680735e+00, 2.939953e+00, 4.331522e+00, 5.869350e+00,\n",
       "       7.568810e+00, 9.446885e+00, 1.152234e+01, 1.381593e+01, 1.635055e+01,\n",
       "       1.915154e+01, 2.224687e+01, 2.566746e+01, 2.944746e+01, 3.362460e+01,\n",
       "       3.824057e+01, 4.334140e+01, 4.897796e+01, 5.520640e+01, 6.208874e+01,\n",
       "       6.969342e+01, 7.809601e+01, 8.737988e+01, 9.763699e+01, 1.089687e+02,\n",
       "       1.214869e+02, 1.353144e+02, 1.505868e+02, 1.674530e+02, 1.860765e+02,\n",
       "       2.066365e+02, 2.293296e+02, 2.543701e+02, 2.819920e+02, 3.124492e+02,\n",
       "       3.460166e+02, 3.829906e+02, 4.236883e+02, 4.684475e+02, 5.176241e+02,\n",
       "       5.715899e+02, 6.307275e+02, 6.954248e+02, 7.660668e+02, 8.430255e+02,\n",
       "       9.266482e+02, 1.017244e+03, 1.115068e+03, 1.220309e+03, 1.333076e+03,\n",
       "       1.453384e+03, 1.581154e+03, 1.716205e+03, 1.858264e+03, 2.006975e+03,\n",
       "       2.161913e+03, 2.322601e+03, 2.488533e+03, 2.659189e+03, 2.834054e+03,\n",
       "       3.012631e+03, 3.194453e+03, 3.379089e+03, 3.566145e+03, 3.755274e+03,\n",
       "       3.946166e+03, 4.138551e+03, 4.332197e+03, 4.526903e+03, 4.722497e+03,\n",
       "       4.918835e+03, 5.115794e+03, 5.313270e+03, 5.511177e+03, 5.709443e+03])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>datetime64[ns]</div><div class='xr-var-preview xr-preview'>2012-10-16T12:00:00 ... 2013-12-...</div><input id='attrs-862691af-3aa0-486c-8592-a0ffe71f5e11' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-862691af-3aa0-486c-8592-a0ffe71f5e11' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8586a065-386d-42d8-8df2-c554994cc308' class='xr-var-data-in' type='checkbox'><label for='data-8586a065-386d-42d8-8df2-c554994cc308' 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</dd><dt><span>cartesian_axis :</span></dt><dd>T</dd><dt><span>calendar_type :</span></dt><dd>GREGORIAN</dd><dt><span>bounds :</span></dt><dd>time_bounds</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;2012-10-16T12:00:00.000000000&#x27;, &#x27;2012-11-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2012-12-16T12:00:00.000000000&#x27;, &#x27;2013-01-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2013-02-15T00:00:00.000000000&#x27;, &#x27;2013-03-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2013-04-16T00:00:00.000000000&#x27;, &#x27;2013-05-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2013-06-16T00:00:00.000000000&#x27;, &#x27;2013-07-16T12:00:00.000000000&#x27;,\n",
       "       &#x27;2013-08-16T12:00:00.000000000&#x27;, &#x27;2013-09-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2013-10-16T12:00:00.000000000&#x27;, &#x27;2013-11-16T00:00:00.000000000&#x27;,\n",
       "       &#x27;2013-12-16T12:00:00.000000000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-cee3754a-de06-4a8a-8d07-09724b7e75fc' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-cee3754a-de06-4a8a-8d07-09724b7e75fc' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'temp' (time: 15, st_ocean: 75, yt_ocean: 55)>\n",
       "array([[[        nan,         nan,         nan, ..., -1.763794  ,\n",
       "         -1.768158  , -1.7616577 ],\n",
       "        [        nan,         nan,         nan, ..., -1.7609253 ,\n",
       "         -1.7658081 , -1.7592773 ],\n",
       "        [        nan,         nan,         nan, ..., -1.7591248 ,\n",
       "         -1.7643127 , -1.7577515 ],\n",
       "        ...,\n",
       "        [        nan,         nan,         nan, ...,         nan,\n",
       "                 nan,         nan],\n",
       "        [        nan,         nan,         nan, ...,         nan,\n",
       "                 nan,         nan],\n",
       "        [        nan,         nan,         nan, ...,         nan,\n",
       "                 nan,         nan]],\n",
       "\n",
       "       [[        nan,         nan,         nan, ..., -1.7475586 ,\n",
       "         -1.7432861 , -1.7437744 ],\n",
       "        [        nan,         nan,         nan, ..., -1.7457275 ,\n",
       "         -1.7415466 , -1.7423096 ],\n",
       "        [        nan,         nan,         nan, ..., -1.7441406 ,\n",
       "         -1.741272  , -1.7423096 ],\n",
       "...\n",
       "        [        nan,         nan,         nan, ...,         nan,\n",
       "                 nan,         nan],\n",
       "        [        nan,         nan,         nan, ...,         nan,\n",
       "                 nan,         nan],\n",
       "        [        nan,         nan,         nan, ...,         nan,\n",
       "                 nan,         nan]],\n",
       "\n",
       "       [[        nan,         nan,         nan, ...,  1.0309143 ,\n",
       "          1.0467224 ,  1.018219  ],\n",
       "        [        nan,         nan,         nan, ...,  1.0127869 ,\n",
       "          1.0283203 ,  1.0001221 ],\n",
       "        [        nan,         nan,         nan, ...,  0.9981079 ,\n",
       "          1.0150146 ,  0.9874573 ],\n",
       "        ...,\n",
       "        [        nan,         nan,         nan, ...,         nan,\n",
       "                 nan,         nan],\n",
       "        [        nan,         nan,         nan, ...,         nan,\n",
       "                 nan,         nan],\n",
       "        [        nan,         nan,         nan, ...,         nan,\n",
       "                 nan,         nan]]], dtype=float32)\n",
       "Coordinates:\n",
       "    xt_ocean  (yt_ocean) float64 -250.2 -250.2 -250.3 ... -252.8 -252.9 -252.9\n",
       "  * yt_ocean  (yt_ocean) float64 -66.79 -66.75 -66.71 ... -64.59 -64.55 -64.5\n",
       "  * st_ocean  (st_ocean) float64 0.5413 1.681 2.94 ... 5.511e+03 5.709e+03\n",
       "  * time      (time) datetime64[ns] 2012-10-16T12:00:00 ... 2013-12-16T12:00:00"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "temp_transect"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0eddd94f-435a-48c9-a1a1-51ccf44da78b",
   "metadata": {},
   "source": [
    "### extract nearest points along transect "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "2fcce744-95a6-46b7-a2b3-d6a32abe7a9e",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Note that this cell is slow, but it will load the entire timeseries along the transect \n",
    "# (which means you could later make movies of this or look at different snapshots):\n",
    "#this is wrong for salt and T because I have avg them\n",
    "\n",
    "lons = [lon0, lon1]\n",
    "lats = [lat0, lat1]\n",
    "\n",
    "yt_ocean = temp.yt_ocean\n",
    "\n",
    "# get latitude of points along transect:\n",
    "lat_transect = yt_ocean.sel(yt_ocean = slice(lats[0],lats[1])).values\n",
    "\n",
    "# calculate slope and intercept of transect line:\n",
    "slope = (lons[0] - lons[1])/(lats[0]-lats[1])\n",
    "intercept = lons[0] - slope * lats[0]\n",
    "\n",
    "# get longitude along transect and convert to xarray:\n",
    "lon_transect = slope * lat_transect + intercept\n",
    "lon_transect = xr.DataArray(lon_transect, dims = 'yt_ocean')\n",
    "\n",
    "# convert to xarray:\n",
    "lat_transect = xr.DataArray(lat_transect, dims = 'yt_ocean')\n",
    "\n",
    "# Extract temp and salt along transect:\n",
    "temp_transect_woa13 = temp_woa13.sel(xt_ocean = lon_transect, yt_ocean = lat_transect, method = 'nearest')\n",
    "salt_transect_woa13 = sal_woa13.sel(xt_ocean = lon_transect, yt_ocean = lat_transect, method = 'nearest')\n",
    "\n",
    "# bathymetry along transect:\n",
    "ht_transect = ht.sel(xt_ocean = lon_transect, yt_ocean = lat_transect, method = 'nearest')\n",
    "ht_transect = ht_transect.fillna(0)\n",
    "\n",
    "# calculate density along transect:\n",
    "# arrays for gsw to use\n",
    "depth_array = temp_transect_woa13*0 + temp_transect_woa13.st_ocean\n",
    "lat_array = temp_transect_woa13*0 + temp_transect_woa13.yt_ocean\n",
    "# need to convert practical salinity to absolute salinity:\n",
    "pressure = gsw.p_from_z(-depth_array,lat_array)\n",
    "# need to convert practical salinity to absolute salinity:\n",
    "salt_abs = gsw.SA_from_SP(salt_transect_woa13,pressure,lon_transect,lat_array)\n",
    "\n",
    "sigma0_woa13 = gsw.sigma0(salt_abs,temp_transect_woa13)\n",
    "# convert back to xarray for multiplying later:\n",
    "sigma0_woa13 = xr.DataArray(sigma0_woa13,\n",
    "                      coords = [temp_transect.st_ocean,temp_transect.yt_ocean],\n",
    "                      dims = ['st_ocean','yt_ocean'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "6d0d07f4-522c-44a7-969d-8df2c3ec69ad",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "# load data before plotting:\n",
    "sigma0_woa13 = sigma0_woa13.load()\n",
    "temp_transect_woa13 = temp_transect_woa13.load()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2aeb997f-d67a-48a3-917b-c4c7c5a005b0",
   "metadata": {},
   "source": [
    "### plot comparison temp transects with isopycnal overlaid for IAF3 (year of 2013) and WOA13"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "2a277f70-29d1-4993-b758-c4b69893a1a6",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1296x720 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fontsize2 = 28\n",
    "# choose density contours that work for your transect:\n",
    "#density_contours = [27.7,27.8,27.83,27.84,27.85,27.9,28]\n",
    "density_contours = [27.7,27.8,27.82,27.83,27.84,27.85,27.9,28]\n",
    "\n",
    "# set up figure and projection:\n",
    "fig = plt.figure(1,figsize=(18,10))\n",
    "fig.subplots_adjust(top=0.88)\n",
    "\n",
    "ax0 = plt.subplot(1, 2, 1) \n",
    "# plot temperature:\n",
    "pcm = plt.contourf(temp_transect.yt_ocean, temp_transect.st_ocean, temp_transect.fillna(0),\n",
    "           cmap = cmocean.thermal, vmin=-2, vmax=0)\n",
    "pcm.set_clim(-2, 0)\n",
    "\n",
    "plt.tick_params(labelsize=fontsize2)\n",
    "plt.gca().invert_yaxis()\n",
    "# set depth and latitude limits of plot:ww\n",
    "plt.ylim((2500,0))\n",
    "plt.xlim((-66.7,-64.5))\n",
    "plt.ylabel('Depth (m)',fontsize=fontsize2)\n",
    "plt.xlabel('Latitude',fontsize=fontsize2)\n",
    "plt.title('IAF3 (2013)',fontsize=fontsize2)\n",
    "\n",
    "#cbar=plt.colorbar()\n",
    "cbar = fig.colorbar(\n",
    "   ScalarMappable(norm=pcm.norm, cmap=pcm.cmap),\n",
    "   ticks=range(-2,0)\n",
    ")\n",
    "cbar.ax.tick_params(labelsize=fontsize2)\n",
    "cbar.set_label(r'Temperature ($\\circ$C)', fontsize = fontsize2,labelpad=5)\n",
    "#this removes colorbar whilst maintaing figure size\n",
    "fig.delaxes(fig.axes[1])\n",
    "\n",
    "# plot density contours:\n",
    "cont = plt.contour(sigma0.yt_ocean,sigma0.st_ocean,sigma0,density_contours,\n",
    "           colors='k',zorder=2 ,fontsize=17)\n",
    "plt.clabel(cont, inline=1, fontsize=17,fmt='%1.2f')\n",
    "\n",
    "# plot land:\n",
    "plt.fill_between(ht_transect.yt_ocean,ht_transect,6000,zorder=3,color='darkgrey')\n",
    "\n",
    "\n",
    "ax1 = plt.subplot(1, 2, 2)   \n",
    "# plot temperature:\n",
    "pcm = plt.contourf(temp_transect_woa13.yt_ocean,temp_transect_woa13.st_ocean,temp_transect_woa13.fillna(0),\n",
    "           cmap = cmocean.thermal,vmin=-2,vmax=0)\n",
    "\n",
    "plt.tick_params(labelsize=fontsize2)\n",
    "plt.gca().invert_yaxis()\n",
    "# set depth and latitude limits of plot:\n",
    "plt.ylim((2500,0))\n",
    "plt.xlim((-66.7,-64.5))\n",
    "#plt.ylabel('Depth (m)',fontsize=fontsize2)\n",
    "plt.xlabel('Latitude',fontsize=fontsize2)\n",
    "plt.title('WOA13',fontsize=fontsize2)\n",
    "# colorbar:\n",
    "#cbar=plt.colorbar(pcm, ticks = ticks,pad=.03)\n",
    "cbar = fig.colorbar(\n",
    "   ScalarMappable(norm=pcm.norm, cmap=pcm.cmap),\n",
    "   ticks=range(-2,0)\n",
    ")\n",
    "cbar.ax.tick_params(labelsize=fontsize2)\n",
    "cbar.set_label(r'Temperature ($\\circ$C)', fontsize = fontsize2,labelpad=5)\n",
    "# set the tick positions and labels for the second colorbar\n",
    "ticks = [-2, -1.5, -1, -0.5, 0]\n",
    "ticklabels = ['-2', '-1.5', '-1', '-0.5' ,'0']\n",
    "cbar.set_ticks(ticks)\n",
    "cbar.set_ticklabels(ticklabels)\n",
    "\n",
    "# plot density contours:\n",
    "cont = plt.contour(sigma0_woa13.yt_ocean,sigma0_woa13.st_ocean,sigma0_woa13,density_contours,\n",
    "           colors='k',zorder=2 ,fontsize=17)\n",
    "plt.clabel(cont, inline=1, fontsize=17,fmt='%1.2f')\n",
    "\n",
    "\n",
    "# plot land:\n",
    "plt.fill_between(ht_transect.yt_ocean,ht_transect,6000,zorder=3,color='darkgrey')\n",
    "\n",
    "fig.tight_layout()\n",
    "figdir = '/g/data/v45/ns3783/ScriptsChapter3/Figures/'\n",
    "filestr = figdir+'/transect_IAF3vsWOA13.png'\n",
    "plt.savefig(filestr,dpi=600,bbox_inches='tight')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "08c521ad-5dcc-47c3-98ab-c9f3d9cfd9d0",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python [conda env:analysis3-22.01]",
   "language": "python",
   "name": "conda-env-analysis3-22.01-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": "3.9.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}