building_Intake_Datastore_1Experiment.ipynb

{
 "cells": [
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "Copyright 2022 ACCESS-NRI and contributors. See the top-level COPYRIGHT file for details.\n",
    "SPDX-License-Identifier: Apache-2.0"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Create Intake Datastore to hold output from one experiment"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This is a minimum example to create a datastore to access output from your experiment.\n",
    "\n",
    "We use _datastore_ as the name of (one run of) an experiment in an intake catalogue.\n",
    "\n",
    "If you have more than one experiment but they are temporary, do this procedure more than once. If you are keeping the data long term, then it should go into the main access-nri-intake-catalog (or as a minimum, build your own catalog).\n",
    "\n",
    "Requirements: The conda/analysis3 module from /g/data/hh5/public/modules. (Example used `conda/analysis3-24.01`)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "execution": {
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     "shell.execute_reply": "2024-05-15T06:22:22.837286Z",
     "shell.execute_reply.started": "2024-05-15T06:22:22.832526Z"
    }
   },
   "outputs": [],
   "source": [
    "#where is my output\n",
    "PATH='/scratch/tm70/as2285/experiments/archive/c_grid/'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This is just normal payu experiment archive:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "execution": {
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    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "output000  restart000\n"
     ]
    }
   ],
   "source": [
    "!ls {PATH}"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "execution": {
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     "shell.execute_reply.started": "2023-09-29T00:11:23.457287Z"
    }
   },
   "source": [
    "Show conda/analysis version"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "execution": {
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    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "base                  *  /g/data/hh5/public/apps/miniconda3/envs/analysis3-24.01\n"
     ]
    }
   ],
   "source": [
    "! conda env list | grep \"*\""
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Load modules:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-05-15T06:22:25.145474Z",
     "iopub.status.busy": "2024-05-15T06:22:25.144513Z",
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     "shell.execute_reply": "2024-05-15T06:22:31.021755Z",
     "shell.execute_reply.started": "2024-05-15T06:22:25.145423Z"
    }
   },
   "outputs": [],
   "source": [
    "from access_nri_intake.source import builders\n",
    "from access_nri_intake.catalog.manager import CatalogManager"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-05-15T06:22:31.026089Z",
     "iopub.status.busy": "2024-05-15T06:22:31.025749Z",
     "iopub.status.idle": "2024-05-15T06:22:31.372338Z",
     "shell.execute_reply": "2024-05-15T06:22:31.371553Z",
     "shell.execute_reply.started": "2024-05-15T06:22:31.026067Z"
    }
   },
   "outputs": [],
   "source": [
    "from dask.distributed import Client"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-05-15T06:22:31.373866Z",
     "iopub.status.busy": "2024-05-15T06:22:31.373179Z",
     "iopub.status.idle": "2024-05-15T06:22:33.038846Z",
     "shell.execute_reply": "2024-05-15T06:22:33.037684Z",
     "shell.execute_reply.started": "2024-05-15T06:22:31.373841Z"
    }
   },
   "outputs": [],
   "source": [
    "client = Client()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-05-15T06:22:33.041397Z",
     "iopub.status.busy": "2024-05-15T06:22:33.040536Z",
     "iopub.status.idle": "2024-05-15T06:22:33.090012Z",
     "shell.execute_reply": "2024-05-15T06:22:33.089355Z",
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   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "    <div style=\"width: 24px; height: 24px; background-color: #e1e1e1; border: 3px solid #9D9D9D; border-radius: 5px; position: absolute;\"> </div>\n",
       "    <div style=\"margin-left: 48px;\">\n",
       "        <h3 style=\"margin-bottom: 0px;\">Client</h3>\n",
       "        <p style=\"color: #9D9D9D; margin-bottom: 0px;\">Client-82a698f4-1283-11ef-90ff-00000192fe80</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",
       "        \n",
       "        </tr>\n",
       "\n",
       "        \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;\"></td>\n",
       "            </tr>\n",
       "        \n",
       "\n",
       "        </table>\n",
       "\n",
       "        \n",
       "            <button style=\"margin-bottom: 12px;\" data-commandlinker-command=\"dask:populate-and-launch-layout\" data-commandlinker-args='{\"url\": \"/proxy/8787/status\" }'>\n",
       "                Launch dashboard in JupyterLab\n",
       "            </button>\n",
       "        \n",
       "\n",
       "        \n",
       "            <details>\n",
       "            <summary style=\"margin-bottom: 20px;\"><h3 style=\"display: inline;\">Cluster Info</h3></summary>\n",
       "            <div class=\"jp-RenderedHTMLCommon jp-RenderedHTML jp-mod-trusted jp-OutputArea-output\">\n",
       "    <div style=\"width: 24px; height: 24px; background-color: #e1e1e1; border: 3px solid #9D9D9D; border-radius: 5px; position: absolute;\">\n",
       "    </div>\n",
       "    <div style=\"margin-left: 48px;\">\n",
       "        <h3 style=\"margin-bottom: 0px; margin-top: 0px;\">LocalCluster</h3>\n",
       "        <p style=\"color: #9D9D9D; margin-bottom: 0px;\">cc277659</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",
       "                </td>\n",
       "                <td style=\"text-align: left;\">\n",
       "                    <strong>Workers:</strong> 4\n",
       "                </td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                <td style=\"text-align: left;\">\n",
       "                    <strong>Total threads:</strong> 12\n",
       "                </td>\n",
       "                <td style=\"text-align: left;\">\n",
       "                    <strong>Total memory:</strong> 46.00 GiB\n",
       "                </td>\n",
       "            </tr>\n",
       "            \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",
       "        <div style=\"margin-left: 48px;\">\n",
       "            <h3 style=\"margin-bottom: 0px;\">Scheduler</h3>\n",
       "            <p style=\"color: #9D9D9D; margin-bottom: 0px;\">Scheduler-57e2f769-4b77-48c0-911b-01b0dd176618</p>\n",
       "            <table style=\"width: 100%; text-align: left;\">\n",
       "                <tr>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Comm:</strong> tcp://127.0.0.1:43075\n",
       "                    </td>\n",
       "                    <td style=\"text-align: left;\">\n",
       "                        <strong>Workers:</strong> 4\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> 12\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> 46.00 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://127.0.0.1:33119\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Total threads: </strong> 3\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Dashboard: </strong> <a href=\"/proxy/44787/status\" target=\"_blank\">/proxy/44787/status</a>\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Memory: </strong> 11.50 GiB\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Nanny: </strong> tcp://127.0.0.1:46323\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/115715121.gadi-pbs/dask-scratch-space/worker-bs5lyqhd\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://127.0.0.1:36005\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Total threads: </strong> 3\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Dashboard: </strong> <a href=\"/proxy/34821/status\" target=\"_blank\">/proxy/34821/status</a>\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Memory: </strong> 11.50 GiB\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Nanny: </strong> tcp://127.0.0.1:42085\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/115715121.gadi-pbs/dask-scratch-space/worker-7hsuth7x\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://127.0.0.1:35359\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Total threads: </strong> 3\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Dashboard: </strong> <a href=\"/proxy/34841/status\" target=\"_blank\">/proxy/34841/status</a>\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Memory: </strong> 11.50 GiB\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Nanny: </strong> tcp://127.0.0.1:34845\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/115715121.gadi-pbs/dask-scratch-space/worker-dvym_9r6\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://127.0.0.1:33503\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Total threads: </strong> 3\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Dashboard: </strong> <a href=\"/proxy/43721/status\" target=\"_blank\">/proxy/43721/status</a>\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Memory: </strong> 11.50 GiB\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Nanny: </strong> tcp://127.0.0.1:44087\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/115715121.gadi-pbs/dask-scratch-space/worker-tki3wips\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://127.0.0.1:43075' processes=4 threads=12, memory=46.00 GiB>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "client"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "List available builders"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "execution": {
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     "iopub.status.idle": "2024-05-15T06:22:33.095619Z",
     "shell.execute_reply": "2024-05-15T06:22:33.094600Z",
     "shell.execute_reply.started": "2024-05-15T06:22:33.090839Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['AccessCm2Builder',\n",
       " 'AccessEsm15Builder',\n",
       " 'AccessOm2Builder',\n",
       " 'AccessOm3Builder',\n",
       " 'BaseBuilder',\n",
       " 'Builder']"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dir(builders)[0:6]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Choose the builder for your model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "execution": {
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    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 981 µs, sys: 625 µs, total: 1.61 ms\n",
      "Wall time: 1.61 ms\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "\n",
    "builder = builders.AccessOm3Builder(\n",
    "    path=PATH\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "execution": {
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    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/g/data/hh5/public/apps/miniconda3/envs/analysis3-24.01/lib/python3.10/site-packages/access_nri_intake/source/builders.py:152: UserWarning: Unable to parse 1 assets. A list of these assets can be found in `.invalid_assets` attribute.\n",
      "  self.get_assets().validate_parser().parse().clean_dataframe()\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "AccessOm3Builder(paths=['/scratch/tm70/as2285/experiments/archive/c_grid/'], storage_options={}, depth=2, exclude_patterns=['*restart*', '*MOM_IC.nc', '*ocean_geometry.nc', '*ocean.stats.nc', '*Vertical_coordinate.nc'], include_patterns=['*.nc'], joblib_parallel_kwargs={'n_jobs': 96})"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "builder.build()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The warning is ok, we don't expect it to handling coupler output:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-05-15T06:24:01.837320Z",
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     "shell.execute_reply.started": "2024-05-15T06:24:01.837270Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
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       "      <th></th>\n",
       "      <th>INVALID_ASSET</th>\n",
       "      <th>TRACEBACK</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>/scratch/tm70/as2285/experiments/archive/c_grid/output000/GMOM_JRA.cpl.hx.ocn.24h.avg.1958-01-02-00000.nc</td>\n",
       "      <td>Traceback (most recent call last):\\n  File \"/g/data/hh5/public/apps/miniconda3/envs/analysis3-24.01/lib/python3.10/site-packages/access_nri_intake/source/builders.py\", line 329, in parser\\n    rai...</td>\n",
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       "                                                                                               INVALID_ASSET  \\\n",
       "1  /scratch/tm70/as2285/experiments/archive/c_grid/output000/GMOM_JRA.cpl.hx.ocn.24h.avg.1958-01-02-00000.nc   \n",
       "\n",
       "                                                                                                                                                                                                 TRACEBACK  \n",
       "1  Traceback (most recent call last):\\n  File \"/g/data/hh5/public/apps/miniconda3/envs/analysis3-24.01/lib/python3.10/site-packages/access_nri_intake/source/builders.py\", line 329, in parser\\n    rai...  "
      ]
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     "metadata": {},
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    }
   ],
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    "builder.invalid_assets"
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   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Save the datastore to a file (json)"
   ]
  },
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   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-05-15T06:25:54.952620Z",
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     "shell.execute_reply.started": "2024-05-15T06:25:54.952568Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Successfully wrote ESM catalog json file to: file:///scratch/tm70/as2285/experiments/archive/c_grid//intake_datastore.json\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/g/data/hh5/public/apps/miniconda3/envs/analysis3-24.01/lib/python3.10/site-packages/pydantic/deprecated/decorator.py:222: UserWarning: Unable to parse 1 assets/files. A list of these assets can be found in /jobfs/115715121.gadi-pbs/intake_datastore_invalid_assets.csv.\n",
      "  return self.raw_function(**d, **var_kwargs)\n"
     ]
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   ],
   "source": [
    "builder.save(name='intake_datastore', description='Prototype OM3 output with C grid enabled in CICE', directory=PATH)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You can now use this datastore in the normal way:"
   ]
  },
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   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-05-15T06:22:59.670678Z",
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     "shell.execute_reply": "2024-05-15T06:22:59.674274Z",
     "shell.execute_reply.started": "2024-05-15T06:22:59.670629Z"
    }
   },
   "outputs": [],
   "source": [
    "from intake import open_esm_datastore"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-05-15T06:22:59.677620Z",
     "iopub.status.busy": "2024-05-15T06:22:59.677375Z",
     "iopub.status.idle": "2024-05-15T06:22:59.706099Z",
     "shell.execute_reply": "2024-05-15T06:22:59.704684Z",
     "shell.execute_reply.started": "2024-05-15T06:22:59.677598Z"
    }
   },
   "outputs": [],
   "source": [
    "datastore = open_esm_datastore(PATH+'intake_datastore.json',columns_with_iterables=[\"variable\"] )"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Load aice as the example"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-05-15T06:22:59.708896Z",
     "iopub.status.busy": "2024-05-15T06:22:59.708342Z",
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     "shell.execute_reply.started": "2024-05-15T06:22:59.708849Z"
    }
   },
   "outputs": [],
   "source": [
    "aice_ds=datastore.search(variable='aice').to_dask()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-05-15T06:23:13.432277Z",
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     "shell.execute_reply.started": "2024-05-15T06:23:13.432228Z"
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       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-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",
       ".xr-no-icon {\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; Size: 8MB\n",
       "Dimensions:  (time: 1, nj: 300, ni: 360)\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 8B 1958-01-01T12:00:00\n",
       "    TLON     (nj, ni) float64 864kB dask.array&lt;chunksize=(150, 360), meta=np.ndarray&gt;\n",
       "    TLAT     (nj, ni) float64 864kB dask.array&lt;chunksize=(150, 360), meta=np.ndarray&gt;\n",
       "    ULON     (nj, ni) float64 864kB dask.array&lt;chunksize=(150, 360), meta=np.ndarray&gt;\n",
       "    ULAT     (nj, ni) float64 864kB dask.array&lt;chunksize=(150, 360), meta=np.ndarray&gt;\n",
       "    NLON     (nj, ni) float64 864kB dask.array&lt;chunksize=(150, 360), meta=np.ndarray&gt;\n",
       "    NLAT     (nj, ni) float64 864kB dask.array&lt;chunksize=(150, 360), meta=np.ndarray&gt;\n",
       "    ELON     (nj, ni) float64 864kB dask.array&lt;chunksize=(150, 360), meta=np.ndarray&gt;\n",
       "    ELAT     (nj, ni) float64 864kB dask.array&lt;chunksize=(150, 360), meta=np.ndarray&gt;\n",
       "Dimensions without coordinates: nj, ni\n",
       "Data variables:\n",
       "    aice     (time, nj, ni) float64 864kB dask.array&lt;chunksize=(1, 150, 360), meta=np.ndarray&gt;\n",
       "Attributes: (12/26)\n",
       "    title:                                    GMOM_JRA\n",
       "    contents:                                 Diagnostic and Prognostic Varia...\n",
       "    source:                                   CICE Sea Ice Model, unknown_ver...\n",
       "    comment:                                  This year has 365 days\n",
       "    comment2:                                 File written on model date 1958...\n",
       "    comment3:                                 seconds elapsed into model date...\n",
       "    ...                                       ...\n",
       "    intake_esm_attrs:variable_cell_methods:   [&#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;...\n",
       "    intake_esm_attrs:variable_units:          [&#x27;days since 1958-01-01 00:00:0...\n",
       "    intake_esm_attrs:filename:                GMOM_JRA.cice.h.1958-01-01.nc\n",
       "    intake_esm_attrs:file_id:                 GMOM_JRA_cice_h_XXXX_XX_XX\n",
       "    intake_esm_attrs:_data_format_:           netcdf\n",
       "    intake_esm_dataset_key:                   GMOM_JRA_cice_h_XXXX_XX_XX.1day</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-388bb3ab-9404-4543-8679-033e987a203f' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-388bb3ab-9404-4543-8679-033e987a203f' 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'>time</span>: 1</li><li><span>nj</span>: 300</li><li><span>ni</span>: 360</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-596315ed-d190-47c8-a177-74210f95dba2' class='xr-section-summary-in' type='checkbox'  checked><label for='section-596315ed-d190-47c8-a177-74210f95dba2' class='xr-section-summary' >Coordinates: <span>(9)</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'>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'>1958-01-01T12:00:00</div><input id='attrs-e749821b-915a-45ee-874b-55b25319d0a3' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-e749821b-915a-45ee-874b-55b25319d0a3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-91284143-2d66-4740-8859-27c120af7082' class='xr-var-data-in' type='checkbox'><label for='data-91284143-2d66-4740-8859-27c120af7082' 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>bounds :</span></dt><dd>time_bounds</dd></dl></div><div class='xr-var-data'><pre>array([&#x27;1958-01-01T12:00:00.000000000&#x27;], dtype=&#x27;datetime64[ns]&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>TLON</span></div><div class='xr-var-dims'>(nj, ni)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(150, 360), meta=np.ndarray&gt;</div><input id='attrs-f3159daa-c6db-4b58-8d12-2c6edd30cb1c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-f3159daa-c6db-4b58-8d12-2c6edd30cb1c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-40f0144f-6a39-4d95-9468-160bf6392122' class='xr-var-data-in' type='checkbox'><label for='data-40f0144f-6a39-4d95-9468-160bf6392122' 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>T grid center longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 843.75 kiB </td>\n",
       "                        <td> 421.88 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (300, 360) </td>\n",
       "                        <td> (150, 360) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 2 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"170\" height=\"150\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"0\" y1=\"50\" x2=\"120\" y2=\"50\" />\n",
       "  <line x1=\"0\" y1=\"100\" x2=\"120\" y2=\"100\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"100\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"100\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"0.0,0.0 120.0,0.0 120.0,100.0 0.0,100.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Text -->\n",
       "  <text x=\"60.000000\" y=\"120.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >360</text>\n",
       "  <text x=\"140.000000\" y=\"50.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,50.000000)\">300</text>\n",
       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>TLAT</span></div><div class='xr-var-dims'>(nj, ni)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(150, 360), meta=np.ndarray&gt;</div><input id='attrs-27354f5f-bd20-4ff4-8c4f-e6da02c30d16' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-27354f5f-bd20-4ff4-8c4f-e6da02c30d16' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c6fd23aa-76c0-4c6c-a6e4-e0dde268cd11' class='xr-var-data-in' type='checkbox'><label for='data-c6fd23aa-76c0-4c6c-a6e4-e0dde268cd11' 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>T grid center latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 843.75 kiB </td>\n",
       "                        <td> 421.88 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (300, 360) </td>\n",
       "                        <td> (150, 360) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 2 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"170\" height=\"150\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"0\" y1=\"50\" x2=\"120\" y2=\"50\" />\n",
       "  <line x1=\"0\" y1=\"100\" x2=\"120\" y2=\"100\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"100\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"100\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"0.0,0.0 120.0,0.0 120.0,100.0 0.0,100.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Text -->\n",
       "  <text x=\"60.000000\" y=\"120.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >360</text>\n",
       "  <text x=\"140.000000\" y=\"50.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,50.000000)\">300</text>\n",
       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ULON</span></div><div class='xr-var-dims'>(nj, ni)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(150, 360), meta=np.ndarray&gt;</div><input id='attrs-73c12bf0-0134-47c4-a284-9cd24fc1b40d' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-73c12bf0-0134-47c4-a284-9cd24fc1b40d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-473d1626-9595-4bcf-852f-04fd98ba4200' class='xr-var-data-in' type='checkbox'><label for='data-473d1626-9595-4bcf-852f-04fd98ba4200' 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>U grid center longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 843.75 kiB </td>\n",
       "                        <td> 421.88 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (300, 360) </td>\n",
       "                        <td> (150, 360) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 2 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"170\" height=\"150\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"0\" y1=\"50\" x2=\"120\" y2=\"50\" />\n",
       "  <line x1=\"0\" y1=\"100\" x2=\"120\" y2=\"100\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"0\" y2=\"100\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"100\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Colored Rectangle -->\n",
       "  <polygon points=\"0.0,0.0 120.0,0.0 120.0,100.0 0.0,100.0\" style=\"fill:#ECB172A0;stroke-width:0\"/>\n",
       "\n",
       "  <!-- Text -->\n",
       "  <text x=\"60.000000\" y=\"120.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >360</text>\n",
       "  <text x=\"140.000000\" y=\"50.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,50.000000)\">300</text>\n",
       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ULAT</span></div><div class='xr-var-dims'>(nj, ni)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(150, 360), meta=np.ndarray&gt;</div><input id='attrs-0dd0f7b4-00b4-4cef-a108-e7873c10f624' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-0dd0f7b4-00b4-4cef-a108-e7873c10f624' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-32cbb266-6c34-41e6-b346-e6e4bd423324' class='xr-var-data-in' type='checkbox'><label for='data-32cbb266-6c34-41e6-b346-e6e4bd423324' 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>U grid center latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd><dt><span>comment :</span></dt><dd>Latitude of NE corner of T grid cell</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 843.75 kiB </td>\n",
       "                        <td> 421.88 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (300, 360) </td>\n",
       "                        <td> (150, 360) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 2 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
       "                    </tr>\n",
       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
       "        <svg width=\"170\" height=\"150\" style=\"stroke:rgb(0,0,0);stroke-width:1\" >\n",
       "\n",
       "  <!-- Horizontal lines -->\n",
       "  <line x1=\"0\" y1=\"0\" x2=\"120\" y2=\"0\" style=\"stroke-width:2\" />\n",
       "  <line x1=\"0\" y1=\"50\" x2=\"120\" y2=\"50\" />\n",
       "  <line x1=\"0\" y1=\"100\" x2=\"120\" y2=\"100\" style=\"stroke-width:2\" />\n",
       "\n",
       "  <!-- Vertical lines -->\n",
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       "  <line x1=\"120\" y1=\"0\" x2=\"120\" y2=\"100\" style=\"stroke-width:2\" />\n",
       "\n",
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       "\n",
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       "  <text x=\"60.000000\" y=\"120.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" >360</text>\n",
       "  <text x=\"140.000000\" y=\"50.000000\" font-size=\"1.0rem\" font-weight=\"100\" text-anchor=\"middle\" transform=\"rotate(-90,140.000000,50.000000)\">300</text>\n",
       "</svg>\n",
       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>NLON</span></div><div class='xr-var-dims'>(nj, ni)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(150, 360), meta=np.ndarray&gt;</div><input id='attrs-4f7ac935-f521-4658-9edd-77036a869c00' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4f7ac935-f521-4658-9edd-77036a869c00' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9a85700c-0fa1-46b4-832b-5711703158d5' class='xr-var-data-in' type='checkbox'><label for='data-9a85700c-0fa1-46b4-832b-5711703158d5' 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>N grid center longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 843.75 kiB </td>\n",
       "                        <td> 421.88 kiB </td>\n",
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       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (300, 360) </td>\n",
       "                        <td> (150, 360) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 2 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
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       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
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       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>NLAT</span></div><div class='xr-var-dims'>(nj, ni)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(150, 360), meta=np.ndarray&gt;</div><input id='attrs-ff617363-aaae-453e-b9d8-7cde895aba8b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-ff617363-aaae-453e-b9d8-7cde895aba8b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dedcaff2-52eb-4f12-8ee1-98031a010eb5' class='xr-var-data-in' type='checkbox'><label for='data-dedcaff2-52eb-4f12-8ee1-98031a010eb5' 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>N grid center latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 843.75 kiB </td>\n",
       "                        <td> 421.88 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (300, 360) </td>\n",
       "                        <td> (150, 360) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 2 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
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       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ELON</span></div><div class='xr-var-dims'>(nj, ni)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(150, 360), meta=np.ndarray&gt;</div><input id='attrs-2d7338b4-7e96-411e-a13f-f669376319ca' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-2d7338b4-7e96-411e-a13f-f669376319ca' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-18b6a446-1382-41bc-ace1-25b2b286d0f2' class='xr-var-data-in' type='checkbox'><label for='data-18b6a446-1382-41bc-ace1-25b2b286d0f2' 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>E grid center longitude</dd><dt><span>units :</span></dt><dd>degrees_east</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
       "                <thead>\n",
       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 843.75 kiB </td>\n",
       "                        <td> 421.88 kiB </td>\n",
       "                    </tr>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (300, 360) </td>\n",
       "                        <td> (150, 360) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 2 chunks in 2 graph layers </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
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       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li><li class='xr-var-item'><div class='xr-var-name'><span>ELAT</span></div><div class='xr-var-dims'>(nj, ni)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(150, 360), meta=np.ndarray&gt;</div><input id='attrs-355c166e-9602-48ae-aac3-9c6e50d20424' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-355c166e-9602-48ae-aac3-9c6e50d20424' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2b06c0e9-3eaa-46e3-9ade-38a9b5b4d0c7' class='xr-var-data-in' type='checkbox'><label for='data-2b06c0e9-3eaa-46e3-9ade-38a9b5b4d0c7' 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>E grid center latitude</dd><dt><span>units :</span></dt><dd>degrees_north</dd></dl></div><div class='xr-var-data'><table>\n",
       "    <tr>\n",
       "        <td>\n",
       "            <table style=\"border-collapse: collapse;\">\n",
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       "                    <tr>\n",
       "                        <td> </td>\n",
       "                        <th> Array </th>\n",
       "                        <th> Chunk </th>\n",
       "                    </tr>\n",
       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 843.75 kiB </td>\n",
       "                        <td> 421.88 kiB </td>\n",
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       "                    \n",
       "                    <tr>\n",
       "                        <th> Shape </th>\n",
       "                        <td> (300, 360) </td>\n",
       "                        <td> (150, 360) </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 2 chunks in 2 graph layers </td>\n",
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       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
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       "                </tbody>\n",
       "            </table>\n",
       "        </td>\n",
       "        <td>\n",
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       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-1ca78c8d-aa4c-415f-9234-b8335fc55ec0' class='xr-section-summary-in' type='checkbox'  checked><label for='section-1ca78c8d-aa4c-415f-9234-b8335fc55ec0' class='xr-section-summary' >Data variables: <span>(1)</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>aice</span></div><div class='xr-var-dims'>(time, nj, ni)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>dask.array&lt;chunksize=(1, 150, 360), meta=np.ndarray&gt;</div><input id='attrs-b68149dc-d689-4c23-b1e3-b2eb08acedec' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b68149dc-d689-4c23-b1e3-b2eb08acedec' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-91c96b9d-60a8-4f88-b54a-a2c86341b6e8' class='xr-var-data-in' type='checkbox'><label for='data-91c96b9d-60a8-4f88-b54a-a2c86341b6e8' 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>units :</span></dt><dd>1</dd><dt><span>long_name :</span></dt><dd>ice area  (aggregate)</dd><dt><span>cell_measures :</span></dt><dd>area: tarea</dd><dt><span>cell_methods :</span></dt><dd>time: mean</dd><dt><span>time_rep :</span></dt><dd>averaged</dd></dl></div><div class='xr-var-data'><table>\n",
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       "        <td>\n",
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       "                    <tr>\n",
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       "                        <th> Array </th>\n",
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       "                </thead>\n",
       "                <tbody>\n",
       "                    \n",
       "                    <tr>\n",
       "                        <th> Bytes </th>\n",
       "                        <td> 843.75 kiB </td>\n",
       "                        <td> 421.88 kiB </td>\n",
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       "                    <tr>\n",
       "                        <th> Dask graph </th>\n",
       "                        <td colspan=\"2\"> 2 chunks in 2 graph layers </td>\n",
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       "                    <tr>\n",
       "                        <th> Data type </th>\n",
       "                        <td colspan=\"2\"> float64 numpy.ndarray </td>\n",
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       "        </td>\n",
       "    </tr>\n",
       "</table></div></li></ul></div></li><li class='xr-section-item'><input id='section-c167400e-980e-4d7a-9041-c140a02eb193' class='xr-section-summary-in' type='checkbox'  ><label for='section-c167400e-980e-4d7a-9041-c140a02eb193' class='xr-section-summary' >Indexes: <span>(1)</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-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-1d3665af-cb60-41c0-880f-f72f24d5d482' class='xr-index-data-in' type='checkbox'/><label for='index-1d3665af-cb60-41c0-880f-f72f24d5d482' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(DatetimeIndex([&#x27;1958-01-01 12:00:00&#x27;], dtype=&#x27;datetime64[ns]&#x27;, name=&#x27;time&#x27;, freq=None))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-016e5b77-dfe6-4f3b-92f9-f1e486fd5430' class='xr-section-summary-in' type='checkbox'  ><label for='section-016e5b77-dfe6-4f3b-92f9-f1e486fd5430' class='xr-section-summary' >Attributes: <span>(26)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>title :</span></dt><dd>GMOM_JRA</dd><dt><span>contents :</span></dt><dd>Diagnostic and Prognostic Variables</dd><dt><span>source :</span></dt><dd>CICE Sea Ice Model, unknown_version_name</dd><dt><span>comment :</span></dt><dd>This year has 365 days</dd><dt><span>comment2 :</span></dt><dd>File written on model date 19580102</dd><dt><span>comment3 :</span></dt><dd>seconds elapsed into model date:      0</dd><dt><span>time_period_freq :</span></dt><dd>day_1</dd><dt><span>time_axis_position :</span></dt><dd>middle</dd><dt><span>conventions :</span></dt><dd>CF-1.0</dd><dt><span>history :</span></dt><dd>This dataset was created on 2024-02-26 at 10:21</dd><dt><span>io_flavor :</span></dt><dd>io_pio2 hdf5</dd><dt><span>intake_esm_vars :</span></dt><dd>[&#x27;aice&#x27;]</dd><dt><span>intake_esm_attrs:path :</span></dt><dd>/scratch/tm70/as2285/experiments/archive/c_grid/output000/GMOM_JRA.cice.h.1958-01-01.nc</dd><dt><span>intake_esm_attrs:realm :</span></dt><dd>seaIce</dd><dt><span>intake_esm_attrs:variable :</span></dt><dd>time_bounds,TLON,TLAT,ULON,ULAT,NLON,NLAT,ELON,ELAT,NCAT,VGRDi,VGRDs,VGRDb,VGRDa,tmask,umask,nmask,emask,blkmask,tarea,uarea,narea,earea,dxt,dyt,dxu,dyu,dxn,dyn,dxe,dye,HTN,HTE,ANGLE,ANGLET,hi,hs,aice,uvelE,vvelE,uvelN,vvelN,uvel,vvel,frzmlt,congel,frazil,snoice,dvidtt,dvidtd</dd><dt><span>intake_esm_attrs:frequency :</span></dt><dd>1day</dd><dt><span>intake_esm_attrs:start_date :</span></dt><dd>1958-01-01, 00:00:00</dd><dt><span>intake_esm_attrs:end_date :</span></dt><dd>1958-01-02, 00:00:00</dd><dt><span>intake_esm_attrs:variable_long_name :</span></dt><dd>[&#x27;time interval endpoints&#x27;, &#x27;T grid center longitude&#x27;, &#x27;T grid center latitude&#x27;, &#x27;U grid center longitude&#x27;, &#x27;U grid center latitude&#x27;, &#x27;N grid center longitude&#x27;, &#x27;N grid center latitude&#x27;, &#x27;E grid center longitude&#x27;, &#x27;E grid center latitude&#x27;, &#x27;category maximum thickness&#x27;, &#x27;vertical ice levels&#x27;, &#x27;vertical snow levels&#x27;, &#x27;vertical ice-bio levels&#x27;, &#x27;vertical snow-ice-bio levels&#x27;, &#x27;mask of T grid cells, 0 = land, 1 = ocean&#x27;, &#x27;mask of U grid cells, 0 = land, 1 = ocean&#x27;, &#x27;mask of N grid cells, 0 = land, 1 = ocean&#x27;, &#x27;mask of E grid cells, 0 = land, 1 = ocean&#x27;, &#x27;ice grid block mask, mytask + iblk/100&#x27;, &#x27;area of T grid cells&#x27;, &#x27;area of U grid cells&#x27;, &#x27;area of N grid cells&#x27;, &#x27;area of E grid cells&#x27;, &#x27;T cell width through middle&#x27;, &#x27;T cell height through middle&#x27;, &#x27;U cell width through middle&#x27;, &#x27;U cell height through middle&#x27;, &#x27;N cell width through middle&#x27;, &#x27;N cell height through middle&#x27;, &#x27;E cell width through middle&#x27;, &#x27;E cell height through middle&#x27;, &#x27;T cell width on North side&#x27;, &#x27;T cell width on East side&#x27;, &#x27;angle grid makes with latitude line on U grid&#x27;, &#x27;angle grid makes with latitude line on T grid&#x27;, &#x27;grid cell mean ice thickness&#x27;, &#x27;grid cell mean snow thickness&#x27;, &#x27;ice area  (aggregate)&#x27;, &#x27;ice velocity (x)&#x27;, &#x27;ice velocity (y)&#x27;, &#x27;ice velocity (x)&#x27;, &#x27;ice velocity (y)&#x27;, &#x27;ice velocity (x)&#x27;, &#x27;ice velocity (y)&#x27;, &#x27;freeze/melt potential&#x27;, &#x27;congelation ice growth&#x27;, &#x27;frazil ice growth&#x27;, &#x27;snow-ice formation&#x27;, &#x27;volume tendency thermo&#x27;, &#x27;volume tendency dynamics&#x27;]</dd><dt><span>intake_esm_attrs:variable_standard_name :</span></dt><dd>[&#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;]</dd><dt><span>intake_esm_attrs:variable_cell_methods :</span></dt><dd>[&#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;&#x27;, &#x27;time: mean&#x27;, &#x27;time: mean&#x27;, &#x27;time: mean&#x27;, &#x27;time: mean&#x27;, &#x27;time: mean&#x27;, &#x27;time: mean&#x27;, &#x27;time: mean&#x27;, &#x27;time: mean&#x27;, &#x27;time: mean&#x27;, &#x27;time: mean&#x27;, &#x27;time: mean&#x27;, &#x27;time: mean&#x27;, &#x27;time: mean&#x27;, &#x27;time: mean&#x27;, &#x27;time: mean&#x27;]</dd><dt><span>intake_esm_attrs:variable_units :</span></dt><dd>[&#x27;days since 1958-01-01 00:00:00&#x27;, &#x27;degrees_east&#x27;, &#x27;degrees_north&#x27;, &#x27;degrees_east&#x27;, &#x27;degrees_north&#x27;, &#x27;degrees_east&#x27;, &#x27;degrees_north&#x27;, &#x27;degrees_east&#x27;, &#x27;degrees_north&#x27;, &#x27;m&#x27;, &#x27;1&#x27;, &#x27;1&#x27;, &#x27;1&#x27;, &#x27;1&#x27;, &#x27;unitless&#x27;, &#x27;unitless&#x27;, &#x27;unitless&#x27;, &#x27;unitless&#x27;, &#x27;unitless&#x27;, &#x27;m^2&#x27;, &#x27;m^2&#x27;, &#x27;m^2&#x27;, &#x27;m^2&#x27;, &#x27;m&#x27;, &#x27;m&#x27;, &#x27;m&#x27;, &#x27;m&#x27;, &#x27;m&#x27;, &#x27;m&#x27;, &#x27;m&#x27;, &#x27;m&#x27;, &#x27;m&#x27;, &#x27;m&#x27;, &#x27;radians&#x27;, &#x27;radians&#x27;, &#x27;m&#x27;, &#x27;m&#x27;, &#x27;1&#x27;, &#x27;m/s&#x27;, &#x27;m/s&#x27;, &#x27;m/s&#x27;, &#x27;m/s&#x27;, &#x27;m/s&#x27;, &#x27;m/s&#x27;, &#x27;W/m^2&#x27;, &#x27;cm/day&#x27;, &#x27;cm/day&#x27;, &#x27;cm/day&#x27;, &#x27;cm/day&#x27;, &#x27;cm/day&#x27;]</dd><dt><span>intake_esm_attrs:filename :</span></dt><dd>GMOM_JRA.cice.h.1958-01-01.nc</dd><dt><span>intake_esm_attrs:file_id :</span></dt><dd>GMOM_JRA_cice_h_XXXX_XX_XX</dd><dt><span>intake_esm_attrs:_data_format_ :</span></dt><dd>netcdf</dd><dt><span>intake_esm_dataset_key :</span></dt><dd>GMOM_JRA_cice_h_XXXX_XX_XX.1day</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset> Size: 8MB\n",
       "Dimensions:  (time: 1, nj: 300, ni: 360)\n",
       "Coordinates:\n",
       "  * time     (time) datetime64[ns] 8B 1958-01-01T12:00:00\n",
       "    TLON     (nj, ni) float64 864kB dask.array<chunksize=(150, 360), meta=np.ndarray>\n",
       "    TLAT     (nj, ni) float64 864kB dask.array<chunksize=(150, 360), meta=np.ndarray>\n",
       "    ULON     (nj, ni) float64 864kB dask.array<chunksize=(150, 360), meta=np.ndarray>\n",
       "    ULAT     (nj, ni) float64 864kB dask.array<chunksize=(150, 360), meta=np.ndarray>\n",
       "    NLON     (nj, ni) float64 864kB dask.array<chunksize=(150, 360), meta=np.ndarray>\n",
       "    NLAT     (nj, ni) float64 864kB dask.array<chunksize=(150, 360), meta=np.ndarray>\n",
       "    ELON     (nj, ni) float64 864kB dask.array<chunksize=(150, 360), meta=np.ndarray>\n",
       "    ELAT     (nj, ni) float64 864kB dask.array<chunksize=(150, 360), meta=np.ndarray>\n",
       "Dimensions without coordinates: nj, ni\n",
       "Data variables:\n",
       "    aice     (time, nj, ni) float64 864kB dask.array<chunksize=(1, 150, 360), meta=np.ndarray>\n",
       "Attributes: (12/26)\n",
       "    title:                                    GMOM_JRA\n",
       "    contents:                                 Diagnostic and Prognostic Varia...\n",
       "    source:                                   CICE Sea Ice Model, unknown_ver...\n",
       "    comment:                                  This year has 365 days\n",
       "    comment2:                                 File written on model date 1958...\n",
       "    comment3:                                 seconds elapsed into model date...\n",
       "    ...                                       ...\n",
       "    intake_esm_attrs:variable_cell_methods:   ['', '', '', '', '', '', '', ''...\n",
       "    intake_esm_attrs:variable_units:          ['days since 1958-01-01 00:00:0...\n",
       "    intake_esm_attrs:filename:                GMOM_JRA.cice.h.1958-01-01.nc\n",
       "    intake_esm_attrs:file_id:                 GMOM_JRA_cice_h_XXXX_XX_XX\n",
       "    intake_esm_attrs:_data_format_:           netcdf\n",
       "    intake_esm_dataset_key:                   GMOM_JRA_cice_h_XXXX_XX_XX.1day"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "aice_ds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-05-15T06:23:13.501940Z",
     "iopub.status.busy": "2024-05-15T06:23:13.501543Z",
     "iopub.status.idle": "2024-05-15T06:23:13.982176Z",
     "shell.execute_reply": "2024-05-15T06:23:13.981441Z",
     "shell.execute_reply.started": "2024-05-15T06:23:13.501918Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.QuadMesh at 0x14cabda74610>"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "aice_ds.aice.isel(time=0).plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-05-15T06:23:13.983194Z",
     "iopub.status.busy": "2024-05-15T06:23:13.983015Z",
     "iopub.status.idle": "2024-05-15T06:23:14.847594Z",
     "shell.execute_reply": "2024-05-15T06:23:14.846451Z",
     "shell.execute_reply.started": "2024-05-15T06:23:13.983177Z"
    }
   },
   "outputs": [],
   "source": [
    "client.close()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python [conda env:analysis3-24.01] *",
   "language": "python",
   "name": "conda-env-analysis3-24.01-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": "3.10.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}