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   "source": [
    "# ROF monthly, annual, seasonal discharge at ocean outlets <a id='top'></a>\n",
    "\n",
    "Use the following datasets\n",
    "\n",
    "1. reach-D19 gauge link ascii\n",
    "2. D19 flow site geopackage\n",
    "3. D19 discharge netCDF\n",
    "4. monthly and yearly flow netCD (history file)\n",
    "\n",
    "[1. Setup](#configuration)\n",
    "\n",
    "\n",
    "[2. Loading discharge data](#load_q)\n",
    "\n",
    "- Read monthly history files from archive. \n",
    "- Reference data: monthly discharge estimates at 922 big river mouths from Dai et al. 2019 data (D19)\n",
    "\n",
    "[3. Read river, catchment, gauge information](#read_ancillary)\n",
    "\n",
    "- catchment polygon (geopackage)\n",
    "- gauge point (geopackage)\n",
    "- gauge-catchment link (csv)\n",
    "- outlet reach information (netCDF) including discharging ocean names\n",
    "\n",
    "[4. Ocean discharge line plots](#annual_cycle_q)\n",
    "\n",
    "- total seasonal flow for oceans. \n",
    "\n",
    "[5. Plot zonal mean annual dicharge to the oceans](#zonal_mean_annual_q)\n",
    "\n",
    "- total seasonal flow for oceans. "
   ]
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      "\n",
      "The Python version: 3.11.4\n",
      "xarray 2025.7.1\n",
      "pandas 2.3.1\n",
      "geopandas 1.1.1\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "ERROR 1: PROJ: proj_create_from_database: Open of /glade/work/richling/conda-envs/cupid-analysis/share/proj failed\n"
     ]
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "\n",
    "import os, sys\n",
    "import glob\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import geopandas as gpd\n",
    "import xarray as xr\n",
    "import cartopy.feature as cfeature\n",
    "\n",
    "from scripts.utility import load_yaml\n",
    "from scripts.utility import no_time_variable\n",
    "from scripts.utility import read_shps\n",
    "from scripts.utility import get_index_array\n",
    "\n",
    "rivers_50m = cfeature.NaturalEarthFeature(\"physical\", \"rivers_lake_centerlines\", \"50m\")\n",
    "land = cfeature.LAND\n",
    "\n",
    "print(\"\\nThe Python version: %s.%s.%s\" % sys.version_info[:3])\n",
    "print(xr.__name__, xr.__version__)\n",
    "print(pd.__name__, pd.__version__)\n",
    "print(gpd.__name__, gpd.__version__)"
   ]
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   "source": [
    "-------------------------\n",
    "## 1. Setup <a id='configuration'></a>"
   ]
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     "parameters",
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    "# Parameter Defaults\n",
    "# parameters are set in CUPiD's config.yml file\n",
    "# when running interactively, manually set the parameters below\n",
    "\n",
    "CESM_output_dir = \"\"\n",
    "case_name = None  # case name: e.g., \"b.e30_beta02.BLT1850.ne30_t232.104\"\n",
    "base_case_name = None  # base case name: e.g., \"b.e23_alpha17f.BLT1850.ne30_t232.092\"\n",
    "base_case_output_dir = None\n",
    "start_date = \"\"\n",
    "end_date = \"\"\n",
    "base_start_date = \"\"  # base simulation starting date: \"0001-01-01\"\n",
    "base_end_date = \"\"  # base simulation ending date: \"0100-01-01\"\n",
    "serial = True  # use dask LocalCluster\n",
    "lc_kwargs = {}\n",
    "\n",
    "hist_str = \"\"  # Used for hist file tag\n",
    "analysis_name = \"\"  # Used for Figure png names\n",
    "climo_nyears = 10  # number of years to compute the climatology\n",
    "grid_name = \"f09_f09_mosart\"  # ROF grid name used in case\n",
    "base_grid_name = (\n",
    "    grid_name  # spcify ROF grid name for base_case in config.yml if different than case\n",
    ")\n",
    "figureSave = False"
   ]
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     "injected-parameters"
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   "source": [
    "# Parameters\n",
    "case_name = \"b.e30_alpha07c_cesm.B1850C_LTso.ne30_t232_wgx3.232\"\n",
    "base_case_name = \"b.e30_alpha07c_cesm.B1850C_LTso.ne30_t232_wgx3.228\"\n",
    "CESM_output_dir = \"/glade/campaign/cesm/development/cross-wg/diagnostic_framework/CESM_output_for_testing\"\n",
    "start_date = \"0001-01-01\"\n",
    "end_date = \"0021-01-01\"\n",
    "base_start_date = \"0001-01-01\"\n",
    "base_end_date = \"0045-01-01\"\n",
    "obs_data_dir = (\n",
    "    \"/glade/campaign/cesm/development/cross-wg/diagnostic_framework/CUPiD_obs_data\"\n",
    ")\n",
    "ts_dir = None\n",
    "lc_kwargs = {\"threads_per_worker\": 1}\n",
    "serial = False\n",
    "hist_str = \"h0a\"\n",
    "analysis_name = \"\"\n",
    "grid_name = \"f09_f09_mosart\"\n",
    "climo_nyears = 10\n",
    "figureSave = False\n",
    "subset_kwargs = {}\n",
    "product = \"/glade/work/richling/CUPid_pr_test/CUPiD/examples/key_metrics/computed_notebooks//rof/global_discharge_ocean_compare_obs.ipynb\"\n"
   ]
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   "source": [
    "if base_case_output_dir is None:\n",
    "    base_case_output_dir = CESM_output_dir"
   ]
  },
  {
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   "source": [
    "# ROF additional setup\n",
    "setup = load_yaml(\"./setup/setup.yaml\")\n",
    "\n",
    "domain_dir = setup[\n",
    "    \"ancillary_dir\"\n",
    "]  # ancillary directory including such as ROF domain, river network data\n",
    "geospatial_dir = setup[\"geospatial_dir\"]  # including shapefiles or geopackages\n",
    "ref_flow_dir = setup[\"ref_flow_dir\"]  # including observed or reference flow data\n",
    "case_meta = setup[\"case_meta\"]  # RO grid meta\n",
    "catch_gpkg = setup[\"catch_gpkg\"]  # catchment geopackage meta\n",
    "reach_gpkg = setup[\"reach_gpkg\"]  # reach geopackage meta\n",
    "network_nc = setup[\"river_network\"]  # river network meta\n",
    "\n",
    "if not analysis_name:\n",
    "    analysis_name = case_name\n",
    "if base_grid_name:\n",
    "    base_grid_name = grid_name\n",
    "\n",
    "case_dic = {\n",
    "    case_name: {\n",
    "        \"grid\": grid_name,\n",
    "        \"sim_period\": slice(f\"{start_date}\", f\"{end_date}\"),\n",
    "        \"climo_nyrs\": min(climo_nyears, int(end_date[:4]) - int(start_date[:4]) + 1),\n",
    "        \"output_dir\": CESM_output_dir,\n",
    "    }\n",
    "}\n",
    "if base_case_name is not None:\n",
    "    case_dic[base_case_name] = {\n",
    "        \"grid\": grid_name,\n",
    "        \"sim_period\": slice(f\"{base_start_date}\", f\"{base_end_date}\"),\n",
    "        \"climo_nyrs\": min(\n",
    "            climo_nyears, int(base_end_date[:4]) - int(base_start_date[:4]) + 1\n",
    "        ),\n",
    "        \"output_dir\": base_case_output_dir,\n",
    "    }\n",
    "\n",
    "oceans_list = [\n",
    "    \"arctic\",\n",
    "    \"atlantic\",\n",
    "    \"indian\",\n",
    "    \"mediterranean\",\n",
    "    \"pacific\",\n",
    "    \"south_china\",\n",
    "    \"global\",\n",
    "]"
   ]
  },
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   "source": [
    "-----\n",
    "### dasks (optional)"
   ]
  },
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       "                        <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=\"http://127.0.0.1:42979/status\" target=\"_blank\">http://127.0.0.1:42979/status</a>\n",
       "                        </td>\n",
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       "                            <strong>Memory: </strong> 16.00 GiB\n",
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       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Nanny: </strong> tcp://127.0.0.1:44817\n",
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       "                        <td style=\"text-align: left;\"></td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
       "                            <strong>Local directory: </strong> /glade/derecho/scratch/richling/tmp/dask-scratch-space/worker-xjyw84r5\n",
       "                        </td>\n",
       "                    </tr>\n",
       "\n",
       "                    \n",
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       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:40045/status\" target=\"_blank\">http://127.0.0.1:40045/status</a>\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Memory: </strong> 16.00 GiB\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Nanny: </strong> tcp://127.0.0.1:34383\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> /glade/derecho/scratch/richling/tmp/dask-scratch-space/worker-hommqh4p\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://127.0.0.1:38057\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=\"http://127.0.0.1:45985/status\" target=\"_blank\">http://127.0.0.1:45985/status</a>\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Memory: </strong> 16.00 GiB\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Nanny: </strong> tcp://127.0.0.1:43543\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> /glade/derecho/scratch/richling/tmp/dask-scratch-space/worker-o50rugye\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://127.0.0.1:39611\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=\"http://127.0.0.1:45157/status\" target=\"_blank\">http://127.0.0.1:45157/status</a>\n",
       "                        </td>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Memory: </strong> 16.00 GiB\n",
       "                        </td>\n",
       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Nanny: </strong> tcp://127.0.0.1:41969\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> /glade/derecho/scratch/richling/tmp/dask-scratch-space/worker-nsep4tpo\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://127.0.0.1:36711' processes=4 threads=4, memory=64.00 GiB>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# When running interactively, cupid_run should be set to False\n",
    "cupid_run = True\n",
    "\n",
    "client = None\n",
    "if cupid_run:\n",
    "    # Spin up cluster (if running in parallel)\n",
    "    if not serial:\n",
    "        from dask.distributed import Client, LocalCluster\n",
    "\n",
    "        cluster = LocalCluster(**lc_kwargs)\n",
    "        client = Client(cluster)\n",
    "else:\n",
    "    if not serial:\n",
    "        from dask.distributed import Client\n",
    "        from dask_jobqueue import PBSCluster\n",
    "\n",
    "        cluster = PBSCluster(\n",
    "            cores=1,\n",
    "            processes=1,\n",
    "            memory=\"50GB\",\n",
    "            queue=\"casper\",\n",
    "            walltime=\"01:00:00\",\n",
    "        )\n",
    "        cluster.scale(jobs=10)\n",
    "        client = Client(cluster)\n",
    "client"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7a05b3aa",
   "metadata": {
    "papermill": {
     "duration": 0.00415,
     "end_time": "2025-10-28T22:12:05.479148",
     "exception": false,
     "start_time": "2025-10-28T22:12:05.474998",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "## 2. Loading discharge data <a id='load_q'></a>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ab47496c",
   "metadata": {
    "papermill": {
     "duration": 0.003186,
     "end_time": "2025-10-28T22:12:05.485600",
     "exception": false,
     "start_time": "2025-10-28T22:12:05.482414",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "### 2.1. Monthly/annual flow netCDFs\n",
    "- month_data (xr dataset)\n",
    "- year_data (xr dataset)\n",
    "- seas_data (xr dataset)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "be9dc656",
   "metadata": {
    "editable": true,
    "execution": {
     "iopub.execute_input": "2025-10-28T22:12:05.493189Z",
     "iopub.status.busy": "2025-10-28T22:12:05.492902Z",
     "iopub.status.idle": "2025-10-28T22:12:35.700715Z",
     "shell.execute_reply": "2025-10-28T22:12:35.700045Z"
    },
    "papermill": {
     "duration": 30.217668,
     "end_time": "2025-10-28T22:12:35.706487",
     "exception": false,
     "start_time": "2025-10-28T22:12:05.488819",
     "status": "completed"
    },
    "slideshow": {
     "slide_type": ""
    },
    "tags": [
     "hide-input"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Finished loading b.e30_alpha07c_cesm.B1850C_LTso.ne30_t232_wgx3.232\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Finished loading b.e30_alpha07c_cesm.B1850C_LTso.ne30_t232_wgx3.228\n",
      "CPU times: user 6.79 s, sys: 635 ms, total: 7.42 s\n",
      "Wall time: 30.2 s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "\n",
    "reachID = {}\n",
    "month_data = {}\n",
    "year_data = {}\n",
    "seas_data = {}\n",
    "for case, meta in case_dic.items():\n",
    "    in_dire = os.path.join(meta[\"output_dir\"], case, \"rof/hist\")\n",
    "    model = case_meta[meta[\"grid\"]][\"model\"]\n",
    "    domain = case_meta[meta[\"grid\"]][\"domain_nc\"]\n",
    "    var_list = case_meta[meta[\"grid\"]][\"vars_read\"]\n",
    "\n",
    "    def preprocess(ds):\n",
    "        return ds[var_list]\n",
    "\n",
    "    year_list = [\n",
    "        \"{:04d}\".format(yr)\n",
    "        for yr in np.arange(\n",
    "            int(meta[\"sim_period\"].start[0:4]), int(meta[\"sim_period\"].stop[0:4]) + 1\n",
    "        )\n",
    "    ]\n",
    "\n",
    "    nc_list = []\n",
    "    for nc_path in sorted(glob.glob(f\"{in_dire}/{case}.{model}.{hist_str}.????-*.nc\")):\n",
    "        for yr in year_list:\n",
    "            if yr in os.path.basename(nc_path):\n",
    "                nc_list.append(nc_path)\n",
    "\n",
    "    # load data\n",
    "    ds = xr.open_mfdataset(\n",
    "        nc_list,\n",
    "        data_vars=\"minimal\",\n",
    "        parallel=True,\n",
    "        preprocess=preprocess,\n",
    "    ).sel(time=meta[\"sim_period\"])\n",
    "\n",
    "    # monthly\n",
    "    month_data[case] = ds.isel(time=slice(-meta[\"climo_nyrs\"] * 12, None))\n",
    "    # annual\n",
    "    year_data[case] = (\n",
    "        ds.isel(time=slice(-meta[\"climo_nyrs\"] * 12, None))\n",
    "        .resample(time=\"YS\")\n",
    "        .mean(dim=\"time\")\n",
    "        .load()\n",
    "    )\n",
    "    # seasonal (compute here instead of reading for conisistent analysis period)\n",
    "    seas_data[case] = (\n",
    "        ds.isel(time=slice(-meta[\"climo_nyrs\"] * 12, None))\n",
    "        .groupby(\"time.month\")\n",
    "        .mean(\"time\")\n",
    "        .load()\n",
    "    )\n",
    "    vars_no_time = no_time_variable(month_data[case])\n",
    "    if vars_no_time:\n",
    "        seas_data[case][vars_no_time] = seas_data[case][vars_no_time].isel(\n",
    "            month=0, drop=True\n",
    "        )\n",
    "    mon_time = month_data[case].time.values\n",
    "    if domain == \"None\":\n",
    "        reachID[case] = month_data[case][\"reachID\"].values\n",
    "    else:\n",
    "        reachID[case] = (\n",
    "            xr.open_dataset(f\"{domain_dir}/{domain}\")[\"reachID\"]\n",
    "            .stack(seg=(\"lat\", \"lon\"))\n",
    "            .values\n",
    "        )\n",
    "    print(f\"Finished loading {case}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "aa2af461",
   "metadata": {
    "papermill": {
     "duration": 0.003237,
     "end_time": "2025-10-28T22:12:35.713257",
     "exception": false,
     "start_time": "2025-10-28T22:12:35.710020",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "### 2.2 D19 discharge data\n",
    "- ds_q_obs_mon (xr datasets)\n",
    "- ds_q_obs_yr (xr datasets)\n",
    "- dr_q_obs_seasonal (xr datasets)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "ea8b778a",
   "metadata": {
    "editable": true,
    "execution": {
     "iopub.execute_input": "2025-10-28T22:12:35.722337Z",
     "iopub.status.busy": "2025-10-28T22:12:35.722050Z",
     "iopub.status.idle": "2025-10-28T22:12:35.947809Z",
     "shell.execute_reply": "2025-10-28T22:12:35.947023Z"
    },
    "papermill": {
     "duration": 0.23044,
     "end_time": "2025-10-28T22:12:35.948500",
     "exception": false,
     "start_time": "2025-10-28T22:12:35.718060",
     "status": "completed"
    },
    "slideshow": {
     "slide_type": ""
    },
    "tags": [
     "hide-input"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 178 ms, sys: 16.3 ms, total: 194 ms\n",
      "Wall time: 219 ms\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<timed exec>:6: DeprecationWarning: cftime_range() is deprecated, please use xarray.date_range(..., use_cftime=True) instead.\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "\n",
    "# read monthly data\n",
    "ds_q = xr.open_dataset(\n",
    "    \"%s/D09/coastal-stns-Vol-monthly.updated-May2019.mod.nc\" % (ref_flow_dir),\n",
    "    decode_times=False,\n",
    ")\n",
    "ds_q[\"time\"] = xr.cftime_range(\n",
    "    start=\"1900-01-01\", end=\"2018-12-01\", freq=\"MS\", calendar=\"standard\"\n",
    ")\n",
    "\n",
    "# monthly- if time_period is outside observation period, use the entire obs period\n",
    "obs_available = True\n",
    "if ds_q[\"time\"].sel(time=slice(str(mon_time[0]), str(mon_time[-1]))).values.size == 0:\n",
    "    obs_available = False\n",
    "    ds_q_obs_mon = ds_q[[\"FLOW\", \"lat\", \"lon\"]].set_coords([\"lat\", \"lon\"])\n",
    "else:\n",
    "    ds_q_obs_mon = (\n",
    "        ds_q[[\"FLOW\", \"lat\", \"lon\"]]\n",
    "        .sel(time=slice(str(mon_time[0]), str(mon_time[-1])))\n",
    "        .set_coords([\"lat\", \"lon\"])\n",
    "    )\n",
    "# compute annual flow from monthly\n",
    "ds_q_obs_yr = ds_q_obs_mon.resample(time=\"YE\").mean(dim=\"time\")\n",
    "# compute annual cycle at monthly scale\n",
    "dr_q_obs_seasonal = ds_q_obs_mon.groupby(\"time.month\").mean(\"time\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a016b922",
   "metadata": {
    "editable": true,
    "papermill": {
     "duration": 0.005016,
     "end_time": "2025-10-28T22:12:35.957700",
     "exception": false,
     "start_time": "2025-10-28T22:12:35.952684",
     "status": "completed"
    },
    "slideshow": {
     "slide_type": ""
    },
    "tags": []
   },
   "source": [
    "## 3. Reading river, catchment, gauge infomation  <a id='read_ancillary'></a>\n",
    "\n",
    "- gauge-catchment (or grid box) link (csv)\n",
    "- gauge point (geopackage)\n",
    "- ocean polygon (geopackage)\n",
    "- catchment polygon (geopackage)\n",
    "- outlet reach information (netCDF)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "da654bd5",
   "metadata": {
    "editable": true,
    "papermill": {
     "duration": 0.005075,
     "end_time": "2025-10-28T22:12:35.966173",
     "exception": false,
     "start_time": "2025-10-28T22:12:35.961098",
     "status": "completed"
    },
    "slideshow": {
     "slide_type": ""
    },
    "tags": []
   },
   "source": [
    "### 3.1. reach-D19 gauge link csv\n",
    "- gauge_reach_lnk (dataframe)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "7c0917f0",
   "metadata": {
    "editable": true,
    "execution": {
     "iopub.execute_input": "2025-10-28T22:12:35.976735Z",
     "iopub.status.busy": "2025-10-28T22:12:35.976449Z",
     "iopub.status.idle": "2025-10-28T22:12:35.985866Z",
     "shell.execute_reply": "2025-10-28T22:12:35.985491Z"
    },
    "papermill": {
     "duration": 0.015717,
     "end_time": "2025-10-28T22:12:35.986482",
     "exception": false,
     "start_time": "2025-10-28T22:12:35.970765",
     "status": "completed"
    },
    "slideshow": {
     "slide_type": ""
    },
    "tags": [
     "hide-input"
    ]
   },
   "outputs": [],
   "source": [
    "gauge_reach_lnk = {}\n",
    "for case, meta in case_dic.items():\n",
    "    gauge_reach_lnk[case] = pd.read_csv(\n",
    "        \"%s/D09/D09_925.%s.asc\" % (ref_flow_dir, case_meta[meta[\"grid\"]][\"network\"])\n",
    "    )"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f361506b",
   "metadata": {
    "editable": true,
    "papermill": {
     "duration": 0.004626,
     "end_time": "2025-10-28T22:12:35.999621",
     "exception": false,
     "start_time": "2025-10-28T22:12:35.994995",
     "status": "completed"
    },
    "slideshow": {
     "slide_type": ""
    },
    "tags": []
   },
   "source": [
    "### 3.2 D19 flow site geopackage\n",
    "- gauge_shp (dataframe)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "c20e7c6c",
   "metadata": {
    "editable": true,
    "execution": {
     "iopub.execute_input": "2025-10-28T22:12:36.007551Z",
     "iopub.status.busy": "2025-10-28T22:12:36.007270Z",
     "iopub.status.idle": "2025-10-28T22:12:36.077643Z",
     "shell.execute_reply": "2025-10-28T22:12:36.077252Z"
    },
    "papermill": {
     "duration": 0.075401,
     "end_time": "2025-10-28T22:12:36.078584",
     "exception": false,
     "start_time": "2025-10-28T22:12:36.003183",
     "status": "completed"
    },
    "slideshow": {
     "slide_type": ""
    },
    "tags": [
     "hide-input"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 23.6 ms, sys: 4.43 ms, total: 28 ms\n",
      "Wall time: 66 ms\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "\n",
    "gauge_shp = gpd.read_file(\n",
    "    os.path.join(ref_flow_dir, \"D09\", \"geospatial\", \"D09_925.gpkg\")\n",
    ")\n",
    "gauge_shp = gauge_shp[gauge_shp[\"id\"] != 9999999]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "815013db",
   "metadata": {
    "editable": true,
    "papermill": {
     "duration": 0.004733,
     "end_time": "2025-10-28T22:12:36.088036",
     "exception": false,
     "start_time": "2025-10-28T22:12:36.083303",
     "status": "completed"
    },
    "slideshow": {
     "slide_type": ""
    },
    "tags": []
   },
   "source": [
    "### 3.3 Ocean polygon geopackage\n",
    "- ocean_shp (dataframe)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "3606845a",
   "metadata": {
    "editable": true,
    "execution": {
     "iopub.execute_input": "2025-10-28T22:12:36.096934Z",
     "iopub.status.busy": "2025-10-28T22:12:36.096802Z",
     "iopub.status.idle": "2025-10-28T22:12:42.964659Z",
     "shell.execute_reply": "2025-10-28T22:12:42.964114Z"
    },
    "papermill": {
     "duration": 6.872937,
     "end_time": "2025-10-28T22:12:42.965796",
     "exception": false,
     "start_time": "2025-10-28T22:12:36.092859",
     "status": "completed"
    },
    "slideshow": {
     "slide_type": ""
    },
    "tags": [
     "hide-input"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 204 ms, sys: 6.52 s, total: 6.72 s\n",
      "Wall time: 6.86 s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "\n",
    "ocean_shp = gpd.read_file(os.path.join(geospatial_dir, \"oceans.gpkg\"))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5ed39659",
   "metadata": {
    "editable": true,
    "papermill": {
     "duration": 0.004806,
     "end_time": "2025-10-28T22:12:42.980219",
     "exception": false,
     "start_time": "2025-10-28T22:12:42.975413",
     "status": "completed"
    },
    "slideshow": {
     "slide_type": ""
    },
    "tags": []
   },
   "source": [
    "### 3.4 Read river network information\n",
    "- gdf_cat (dataframe)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "ca0bad0e",
   "metadata": {
    "editable": true,
    "execution": {
     "iopub.execute_input": "2025-10-28T22:12:42.988997Z",
     "iopub.status.busy": "2025-10-28T22:12:42.988853Z",
     "iopub.status.idle": "2025-10-28T22:12:44.544451Z",
     "shell.execute_reply": "2025-10-28T22:12:44.543861Z"
    },
    "papermill": {
     "duration": 1.560982,
     "end_time": "2025-10-28T22:12:44.545817",
     "exception": false,
     "start_time": "2025-10-28T22:12:42.984835",
     "status": "completed"
    },
    "slideshow": {
     "slide_type": ""
    },
    "tags": [
     "hide-cell"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Finished reading /glade/campaign/cesm/development/cross-wg/diagnostic_framework/rof_data/geospatial/MOSART_routing_Global_0.5x0.5_c170601_hru.gpkg\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<timed exec>:12: UserWarning: Geometry is in a geographic CRS. Results from 'centroid' are likely incorrect. Use 'GeoSeries.to_crs()' to re-project geometries to a projected CRS before this operation.\n",
      "\n",
      "<timed exec>:13: UserWarning: Geometry is in a geographic CRS. Results from 'centroid' are likely incorrect. Use 'GeoSeries.to_crs()' to re-project geometries to a projected CRS before this operation.\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Finished reading /glade/campaign/cesm/development/cross-wg/diagnostic_framework/rof_data/geospatial/MOSART_routing_Global_0.5x0.5_c170601_hru.gpkg\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<timed exec>:12: UserWarning: Geometry is in a geographic CRS. Results from 'centroid' are likely incorrect. Use 'GeoSeries.to_crs()' to re-project geometries to a projected CRS before this operation.\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 1.22 s, sys: 261 ms, total: 1.49 s\n",
      "Wall time: 1.54 s\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<timed exec>:13: UserWarning: Geometry is in a geographic CRS. Results from 'centroid' are likely incorrect. Use 'GeoSeries.to_crs()' to re-project geometries to a projected CRS before this operation.\n",
      "\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "\n",
    "## read catchment geopackage\n",
    "gdf_cat = {}\n",
    "for case, meta in case_dic.items():\n",
    "    cat_gpkg = os.path.join(\n",
    "        geospatial_dir, catch_gpkg[meta[\"grid\"]][\"file_name\"]\n",
    "    )  # geopackage name\n",
    "    id_name_cat = catch_gpkg[meta[\"grid\"]][\"id_name\"]  # reach ID in geopackage\n",
    "    var_list = [id_name_cat]\n",
    "    if \"lk\" in grid_name:\n",
    "        var_list.append(\"lake\")\n",
    "    gdf_cat[case] = read_shps([cat_gpkg], var_list)\n",
    "    gdf_cat[case][\"centroid_longitude\"] = gdf_cat[case][\"geometry\"].centroid.x\n",
    "    gdf_cat[case][\"centroid_latitude\"] = gdf_cat[case][\"geometry\"].centroid.y"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "69c21e19",
   "metadata": {
    "editable": true,
    "papermill": {
     "duration": 0.003734,
     "end_time": "2025-10-28T22:12:44.555549",
     "exception": false,
     "start_time": "2025-10-28T22:12:44.551815",
     "status": "completed"
    },
    "slideshow": {
     "slide_type": ""
    },
    "tags": []
   },
   "source": [
    "### 3.5 Read river outlet information\n",
    "- Apppend into gdf_cat (dataframe)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "42c0fc29",
   "metadata": {
    "editable": true,
    "execution": {
     "iopub.execute_input": "2025-10-28T22:12:44.564160Z",
     "iopub.status.busy": "2025-10-28T22:12:44.563745Z",
     "iopub.status.idle": "2025-10-28T22:12:44.892725Z",
     "shell.execute_reply": "2025-10-28T22:12:44.892179Z"
    },
    "papermill": {
     "duration": 0.334458,
     "end_time": "2025-10-28T22:12:44.893805",
     "exception": false,
     "start_time": "2025-10-28T22:12:44.559347",
     "status": "completed"
    },
    "slideshow": {
     "slide_type": ""
    },
    "tags": [
     "hide-input"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 189 ms, sys: 16.1 ms, total: 205 ms\n",
      "Wall time: 323 ms\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "\n",
    "# read river outlet netcdf\n",
    "riv_ocean = {}\n",
    "for case, meta in case_dic.items():\n",
    "    riv_ocean_file = os.path.join(\n",
    "        domain_dir,\n",
    "        network_nc[meta[\"grid\"]][\"file_name\"].replace(\".aug.nc\", \".outlet.nc\"),\n",
    "    )  # network netcdf name\n",
    "    ds_rn_ocean = xr.open_dataset(riv_ocean_file).set_index(seg=\"seg_id\")\n",
    "    df_tmp = ds_rn_ocean.to_dataframe()\n",
    "    riv_ocean[case] = pd.merge(\n",
    "        gdf_cat[case],\n",
    "        df_tmp,\n",
    "        left_on=catch_gpkg[meta[\"grid\"]][\"id_name\"],\n",
    "        right_index=True,\n",
    "    )"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0fc79c97",
   "metadata": {
    "papermill": {
     "duration": 0.005333,
     "end_time": "2025-10-28T22:12:44.905970",
     "exception": false,
     "start_time": "2025-10-28T22:12:44.900637",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "### 3.6 Merge gauge, outlet catchment dataframe\n",
    "\n",
    "- gauge_shp1 (dataframe)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "585503ab",
   "metadata": {
    "editable": true,
    "execution": {
     "iopub.execute_input": "2025-10-28T22:12:44.914679Z",
     "iopub.status.busy": "2025-10-28T22:12:44.914390Z",
     "iopub.status.idle": "2025-10-28T22:12:44.931981Z",
     "shell.execute_reply": "2025-10-28T22:12:44.931574Z"
    },
    "papermill": {
     "duration": 0.023289,
     "end_time": "2025-10-28T22:12:44.933042",
     "exception": false,
     "start_time": "2025-10-28T22:12:44.909753",
     "status": "completed"
    },
    "slideshow": {
     "slide_type": ""
    },
    "tags": [
     "hide-input"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 13.5 ms, sys: 0 ns, total: 13.5 ms\n",
      "Wall time: 12.6 ms\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "\n",
    "# Merge gauge_reach lnk (dataframe) into gauge shapefile\n",
    "gauge_shp1 = {}\n",
    "for case, meta in case_dic.items():\n",
    "    df = gauge_reach_lnk[case]\n",
    "\n",
    "    # df = df.loc[(df['flag'] == 0)]\n",
    "    df1 = df.drop(columns=[\"riv_name\"])\n",
    "    df2 = pd.merge(gauge_shp, df1, how=\"inner\", left_on=\"id\", right_on=\"gauge_id\")\n",
    "    gauge_shp1[case] = pd.merge(\n",
    "        df2,\n",
    "        riv_ocean[case],\n",
    "        how=\"inner\",\n",
    "        left_on=\"route_id\",\n",
    "        right_on=catch_gpkg[meta[\"grid\"]][\"id_name\"],\n",
    "    )"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "601309be",
   "metadata": {
    "editable": true,
    "papermill": {
     "duration": 0.003803,
     "end_time": "2025-10-28T22:12:44.946402",
     "exception": false,
     "start_time": "2025-10-28T22:12:44.942599",
     "status": "completed"
    },
    "slideshow": {
     "slide_type": ""
    },
    "tags": []
   },
   "source": [
    "------\n",
    "## 4. Plot annual cycle for global oceans <a id='annual_cycle_q'></a>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "250a542d",
   "metadata": {
    "editable": true,
    "execution": {
     "iopub.execute_input": "2025-10-28T22:12:44.955040Z",
     "iopub.status.busy": "2025-10-28T22:12:44.954771Z",
     "iopub.status.idle": "2025-10-28T22:12:45.891553Z",
     "shell.execute_reply": "2025-10-28T22:12:45.890899Z"
    },
    "papermill": {
     "duration": 0.942435,
     "end_time": "2025-10-28T22:12:45.892660",
     "exception": false,
     "start_time": "2025-10-28T22:12:44.950225",
     "status": "completed"
    },
    "slideshow": {
     "slide_type": ""
    },
    "tags": [
     "hide-input"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 2 μs, sys: 0 ns, total: 2 μs\n",
      "Wall time: 3.34 μs\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 725x650 with 7 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%time\n",
    "\n",
    "nrows = 4\n",
    "ncols = 2\n",
    "fig, axes = plt.subplots(nrows, ncols, figsize=(7.25, 6.5))\n",
    "plt.subplots_adjust(\n",
    "    top=0.95, bottom=0.065, right=0.98, left=0.10, hspace=0.225, wspace=0.250\n",
    ")  # create some space below the plots by increasing the bottom-value\n",
    "\n",
    "for ix, ocean_name in enumerate(oceans_list):\n",
    "    row = ix // 2\n",
    "    col = ix % 2\n",
    "    for case, meta in case_dic.items():\n",
    "\n",
    "        q_name = case_meta[meta[\"grid\"]][\"flow_name\"]\n",
    "\n",
    "        if case_meta[meta[\"grid\"]][\"network_type\"] == \"vector\":\n",
    "            if ocean_name == \"global\":\n",
    "                id_list = gauge_shp1[case][\"route_id\"].values\n",
    "            else:\n",
    "                id_list = gauge_shp1[case][gauge_shp1[case][\"ocean\"] == ocean_name][\n",
    "                    \"route_id\"\n",
    "                ].values\n",
    "            reach_index = get_index_array(reachID[case], id_list)\n",
    "            dr_flow = seas_data[case][q_name].isel(seg=reach_index).sum(dim=\"seg\")\n",
    "            dr_flow.plot(ax=axes[row, col], linestyle=\"-\", lw=0.75, label=case)\n",
    "\n",
    "        elif case_meta[grid_name][\"network_type\"] == \"grid\":  # means 2d grid\n",
    "            if ocean_name == \"global\":\n",
    "                id_list = gauge_shp1[case][\"route_id\"].values\n",
    "            else:\n",
    "                id_list = gauge_shp1[case][gauge_shp1[case][\"ocean\"] == ocean_name][\n",
    "                    \"route_id\"\n",
    "                ].values\n",
    "\n",
    "            reach_index = get_index_array(reachID[case], id_list)\n",
    "            seas_data_vector = seas_data[case][q_name].stack(seg=(\"lat\", \"lon\"))\n",
    "            dr_flow = seas_data_vector.isel(seg=reach_index).sum(dim=\"seg\")\n",
    "            dr_flow.plot(ax=axes[row, col], linestyle=\"-\", lw=0.75, label=case)\n",
    "\n",
    "    # reference data\n",
    "    if obs_available:\n",
    "        if ocean_name == \"global\":\n",
    "            id_list = gauge_shp1[case][\"id\"].values\n",
    "        else:\n",
    "            id_list = gauge_shp1[case][gauge_shp1[case][\"ocean\"] == ocean_name][\n",
    "                \"id\"\n",
    "            ].values\n",
    "        gauge_index = get_index_array(ds_q[\"id\"].values, id_list)\n",
    "        dr_obs = dr_q_obs_seasonal.isel(station=gauge_index).sum(dim=\"station\")\n",
    "        dr_obs.plot(\n",
    "            ax=axes[row, col],\n",
    "            linestyle=\"None\",\n",
    "            marker=\"o\",\n",
    "            markersize=2,\n",
    "            c=\"k\",\n",
    "            label=\"D19\",\n",
    "        )\n",
    "\n",
    "    axes[row, col].set_title(\"%d %s\" % (ix + 1, ocean_name), fontsize=9)\n",
    "    axes[row, col].set_xlabel(\"\")\n",
    "    if row < 7:\n",
    "        axes[row, col].set_xticklabels(\"\")\n",
    "    if col == 0:\n",
    "        axes[row, col].set_ylabel(\"Mon. flow [m$^3$/s]\", fontsize=9)\n",
    "    else:\n",
    "        axes[row, col].set_ylabel(\"\")\n",
    "    axes[row, col].tick_params(\"both\", labelsize=\"x-small\")\n",
    "\n",
    "# Legend- make space below the plot-raise bottom. there will be an label below the second last (bottom middle) ax, thanks to the bbox_to_anchor=(x, y) with a negative y-value.\n",
    "axes[row, col].legend(\n",
    "    loc=\"center left\", bbox_to_anchor=(1.10, 0.40, 0.75, 0.1), ncol=1, fontsize=\"small\"\n",
    ")\n",
    "\n",
    "for jx in range(ix + 1, nrows * ncols):\n",
    "    row = jx // 2\n",
    "    col = jx % 2\n",
    "    fig.delaxes(axes[row][col])\n",
    "\n",
    "if figureSave:\n",
    "    plt.savefig(f\"./NB2_Fig1_ocean_discharge_season_{analysis_name}.png\", dpi=200)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7d49a90c",
   "metadata": {
    "editable": true,
    "papermill": {
     "duration": 0.004835,
     "end_time": "2025-10-28T22:12:45.905669",
     "exception": false,
     "start_time": "2025-10-28T22:12:45.900834",
     "status": "completed"
    },
    "slideshow": {
     "slide_type": ""
    },
    "tags": []
   },
   "source": [
    "------\n",
    "## 5. Plot zonal mean annual dicharge to the oceans <a id='zonal_mean_annual_q'></a>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "a5d05042",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-10-28T22:12:45.916275Z",
     "iopub.status.busy": "2025-10-28T22:12:45.915974Z",
     "iopub.status.idle": "2025-10-28T22:12:46.659768Z",
     "shell.execute_reply": "2025-10-28T22:12:46.659311Z"
    },
    "papermill": {
     "duration": 0.750386,
     "end_time": "2025-10-28T22:12:46.660855",
     "exception": false,
     "start_time": "2025-10-28T22:12:45.910469",
     "status": "completed"
    },
    "tags": [
     "hide-cell"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 2 μs, sys: 0 ns, total: 2 μs\n",
      "Wall time: 2.62 μs\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 650x500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 650x500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 650x500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 650x500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%time\n",
    "# compute zonal mean total discharge from all the outlets in the modeled river networks.\n",
    "oceans_list = [\"atlantic\", \"pacific\", \"indian\", \"global\"]\n",
    "\n",
    "# Define latitude bins every 1 degree\n",
    "lat_bins = np.arange(-80, 81, 1.0)\n",
    "# Compute bin centers for labeling\n",
    "lat_bin_centers = 0.5 * (lat_bins[:-1] + lat_bins[1:])\n",
    "\n",
    "for ix, ocean_name in enumerate(oceans_list):\n",
    "\n",
    "    nrows = 1\n",
    "    ncols = 1\n",
    "    fig, axes = plt.subplots(nrows, ncols, figsize=(6.5, 5.0))\n",
    "    plt.subplots_adjust(\n",
    "        top=0.95, bottom=0.065, right=0.98, left=0.10, hspace=0.225, wspace=0.250\n",
    "    )  # create some space below the plots by increasing the bottom-value\n",
    "\n",
    "    axes_right = axes.twinx()\n",
    "\n",
    "    for case, meta in case_dic.items():\n",
    "        grid_name = meta[\"grid\"]\n",
    "        q_name = case_meta[meta[\"grid\"]][\"flow_name\"]\n",
    "\n",
    "        # extract flow data and latitude at outlet locations (index)\n",
    "        if ocean_name == \"global\":\n",
    "            id_list = gauge_shp1[case][\"route_id\"].values\n",
    "        else:\n",
    "            id_list = gauge_shp1[case][gauge_shp1[case][\"ocean\"] == ocean_name][\n",
    "                \"route_id\"\n",
    "            ].values\n",
    "        reach_index = get_index_array(reachID[case], id_list)\n",
    "\n",
    "        if case_meta[grid_name][\"network_type\"] == \"vector\":\n",
    "            # 1. Extract the mapping from riv_ocean (HRU → latitude)\n",
    "            lat_map = riv_ocean[case].set_index(\"hruid\")[\"centroid_latitude\"]\n",
    "\n",
    "            # 2. Convert that Series into an xarray DataArray\n",
    "            lat_da = xr.DataArray(\n",
    "                lat_map, dims=[\"hruid\"], coords={\"hruid\": lat_map.index}, name=\"lat\"\n",
    "            )\n",
    "\n",
    "            # 3. Align `lat_da` with the reachID coordinate in seas_data\n",
    "            #    (We assume reachID corresponds to hruid values)\n",
    "            lat_for_reach = lat_da.sel(\n",
    "                hruid=xr.DataArray(seas_data[case][\"reachID\"].values, dims=[\"seg\"])\n",
    "            )\n",
    "\n",
    "            # 4. Assign it as a new variable in seas_data\n",
    "            seas_data[case][\"lat\"] = lat_for_reach\n",
    "\n",
    "            ds_flow = seas_data[case][[q_name, \"lat\"]].isel(seg=reach_index)\n",
    "\n",
    "            # Group by latitude bins and take the mean across segments in each bin\n",
    "            zonal_mean = (\n",
    "                ds_flow[q_name]\n",
    "                .mean(dim=\"month\")\n",
    "                .groupby_bins(ds_flow[\"lat\"], bins=lat_bins, labels=lat_bin_centers)\n",
    "                .sum(dim=\"seg\", skipna=True)\n",
    "            ) / 1000000\n",
    "\n",
    "        elif case_meta[grid_name][\"network_type\"] == \"grid\":  # means 2d grid\n",
    "\n",
    "            seas_data_vector = seas_data[case][q_name].stack(seg=(\"lat\", \"lon\"))\n",
    "            dr_flow = seas_data_vector.isel(seg=reach_index)\n",
    "            zonal_mean = (\n",
    "                dr_flow.mean(dim=\"month\")\n",
    "                .groupby_bins(dr_flow[\"lat\"], bins=lat_bins, labels=lat_bin_centers)\n",
    "                .sum(dim=\"seg\", skipna=True)\n",
    "            ) / 1000000\n",
    "\n",
    "        # Rename the bin dimension to 'lat' for clarity\n",
    "        zonal_mean = zonal_mean.rename({\"lat_bins\": \"lat\"})\n",
    "        zonal_mean = zonal_mean.assign_coords(lat=(\"lat\", lat_bin_centers))\n",
    "\n",
    "        # plot zonal mean discharge per 1-degree lat\n",
    "        zonal_mean.plot(ax=axes, linestyle=\"-\", lw=0.75, label=case)\n",
    "        # plot cumulative zonal mean discharge per 1-degree lat\n",
    "        zonal_mean.cumsum(dim=\"lat\").plot(\n",
    "            ax=axes_right, linestyle=\"--\", lw=1.0, label=case\n",
    "        )\n",
    "\n",
    "    # reference data\n",
    "    if obs_available:\n",
    "        if ocean_name == \"global\":\n",
    "            id_list = gauge_shp1[case][\"id\"].values\n",
    "        else:\n",
    "            id_list = gauge_shp1[case][gauge_shp1[case][\"ocean\"] == ocean_name][\n",
    "                \"id\"\n",
    "            ].values\n",
    "        gauge_index = get_index_array(ds_q[\"id\"].values, id_list)\n",
    "        dr_obs = dr_q_obs_seasonal.isel(station=gauge_index)\n",
    "        zonal_mean_obs = (\n",
    "            dr_obs[\"FLOW\"]\n",
    "            .mean(dim=\"month\")\n",
    "            .groupby_bins(dr_obs[\"lat\"], bins=lat_bins, labels=lat_bin_centers)\n",
    "            .sum(dim=\"station\", skipna=True)\n",
    "        ) / 1000000\n",
    "\n",
    "        zonal_mean_obs.plot(\n",
    "            ax=axes,\n",
    "            linestyle=\"None\",\n",
    "            marker=\"o\",\n",
    "            markersize=2,\n",
    "            c=\"k\",\n",
    "            label=\"D19\",\n",
    "            zorder=0,\n",
    "        )\n",
    "\n",
    "    axes.set_title(\"%s\" % (ocean_name), fontsize=10)\n",
    "    axes.set_xlabel(\"Latitude\")\n",
    "\n",
    "    axes.set_xticks(np.arange(-80, 81, 20))\n",
    "    axes.set_xticklabels([\"80S\", \"60S\", \"40S\", \"20S\", \"0\", \"20N\", \"40N\", \"60N\", \"80N\"])\n",
    "    axes.set_ylabel(\n",
    "        \"Total annual discharge to ocean [10$^6$ m$^3$/s per degree lat]\", fontsize=10\n",
    "    )\n",
    "    axes.tick_params(\"both\", labelsize=\"small\")\n",
    "\n",
    "    axes_right.set_ylabel(\n",
    "        \"Total annual discharge accumulated from 90S [10$^6$ m$^3$/s]\", fontsize=10\n",
    "    )\n",
    "    axes_right.tick_params(\"both\", labelsize=\"small\")\n",
    "\n",
    "    # Legend- make space below the plot-raise bottom. there will be an label below the second last (bottom middle) ax, thanks to the bbox_to_anchor=(x, y) with a negative y-value.\n",
    "    axes.legend(\n",
    "        loc=\"center left\",\n",
    "        bbox_to_anchor=(0.025, 0.875, 0.75, 0.1),\n",
    "        ncol=1,\n",
    "        fontsize=\"small\",\n",
    "    )\n",
    "\n",
    "    if figureSave:\n",
    "        plt.savefig(\n",
    "            f\"./NB2_Fig3_global_zonal_mean_annal_discharge_{ocean_name}_{analysis_name}_gauge_only.png\",\n",
    "            dpi=300,\n",
    "        )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "eb513315",
   "metadata": {
    "editable": true,
    "execution": {
     "iopub.execute_input": "2025-10-28T22:12:46.678672Z",
     "iopub.status.busy": "2025-10-28T22:12:46.678387Z",
     "iopub.status.idle": "2025-10-28T22:12:47.273050Z",
     "shell.execute_reply": "2025-10-28T22:12:47.272528Z"
    },
    "papermill": {
     "duration": 0.603505,
     "end_time": "2025-10-28T22:12:47.274172",
     "exception": false,
     "start_time": "2025-10-28T22:12:46.670667",
     "status": "completed"
    },
    "slideshow": {
     "slide_type": ""
    },
    "tags": [
     "hide-cell"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Dask client shutdown complete.\n"
     ]
    }
   ],
   "source": [
    "if client:\n",
    "    client.shutdown()\n",
    "    print(\"Dask client shutdown complete.\")"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "cupid-analysis",
   "language": "python",
   "name": "cupid-analysis"
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    "name": "ipython",
    "version": 3
   },
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   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
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  "papermill": {
   "duration": 50.81864,
   "end_time": "2025-10-28T22:12:49.909767",
   "exception": null,
   "input_path": "/glade/derecho/scratch/richling/tmp/tmprhjespol.ipynb",
   "output_path": "/glade/work/richling/CUPid_pr_test/CUPiD/examples/key_metrics/computed_notebooks/rof/global_discharge_ocean_compare_obs.ipynb",
   "parameters": {
    "CESM_output_dir": "/glade/campaign/cesm/development/cross-wg/diagnostic_framework/CESM_output_for_testing",
    "analysis_name": "",
    "base_case_name": "b.e30_alpha07c_cesm.B1850C_LTso.ne30_t232_wgx3.228",
    "base_end_date": "0045-01-01",
    "base_start_date": "0001-01-01",
    "case_name": "b.e30_alpha07c_cesm.B1850C_LTso.ne30_t232_wgx3.232",
    "climo_nyears": 10,
    "end_date": "0021-01-01",
    "figureSave": false,
    "grid_name": "f09_f09_mosart",
    "hist_str": "h0a",
    "lc_kwargs": {
     "threads_per_worker": 1
    },
    "obs_data_dir": "/glade/campaign/cesm/development/cross-wg/diagnostic_framework/CUPiD_obs_data",
    "product": "/glade/work/richling/CUPid_pr_test/CUPiD/examples/key_metrics/computed_notebooks//rof/global_discharge_ocean_compare_obs.ipynb",
    "serial": false,
    "start_date": "0001-01-01",
    "subset_kwargs": {},
    "ts_dir": null
   },
   "start_time": "2025-10-28T22:11:59.091127"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}