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    "# ROF global monthly, annual, seasonal flows analysis <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. history netCD including river discharge\n",
    "\n",
    "[1. Setupt](#setup)\n",
    "\n",
    "[2. Loading data](#load_data)\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. Large 24 river analysis](#24_large_rivers)\n",
    "\n",
    "- Plotting time seriese (annual, seasonal cycle).\n",
    "- if D19 referece data is available, scatter plots at Large 24 selected rivers against D19 referece data\n",
    "\n",
    "[4. Large 50 rivers analysis](#50_large_rivers)\n",
    "\n",
    "- Annual flow summary table at large 50 selected rivers.\n",
    "- if D19 referece data is available, Scatter plot of annual flow against D19 reference data.\n",
    "\n",
    "[5. 922 rivers analysis](#922_rivers)\n",
    "\n",
    "- run only if reference flow is available\n",
    "- error statistics (%bias, rmse, correlation) at all 922 river sites.\n",
    "- plot error statistic on the global map\n",
    "- plot boxplots including case(s) for each error metric"
   ]
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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 matplotlib as mpl\n",
    "from matplotlib.ticker import FormatStrFormatter\n",
    "from sklearn.linear_model import LinearRegression\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import geopandas as gpd\n",
    "import xarray as xr\n",
    "import cartopy.crs as ccrs\n",
    "import cartopy.feature as cfeature\n",
    "\n",
    "import scripts.colors as colors\n",
    "import scripts.metrics as metric\n",
    "from scripts.utility import load_yaml\n",
    "from scripts.utility import no_time_variable\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='setup'></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",
    "# global parameters\n",
    "CESM_output_dir = \"\"  # e.g., \"/glade/campaign/cesm/development/cross-wg/diagnostic_framework/CESM_output_for_testing\"\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 = \"\"  # simulation starting date: e.g., \"0001-01-01\"\n",
    "end_date = \"\"  # simulation ending date: \"0100-01-01\"\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",
    "# rof parameters\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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   "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_gauge_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",
    "ancillary_dir = setup[\n",
    "    \"ancillary_dir\"\n",
    "]  # ancillary directory including ROF domain, river network data etc.\n",
    "ref_flow_dir = setup[\"ref_flow_dir\"]  # including observed or reference flow data\n",
    "case_meta = setup[\"case_meta\"]  # Case metadata\n",
    "reach_gpkg = setup[\"reach_gpkg\"]  # river reach geopackage meta\n",
    "\n",
    "if 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",
    "    }"
   ]
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   "source": [
    "### Dasks"
   ]
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       "                            <strong>Local directory: </strong> /glade/derecho/scratch/richling/tmp/dask-scratch-space/worker-lt293ke4\n",
       "                        </td>\n",
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       "\n",
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       "                    </tr>\n",
       "                    <tr>\n",
       "                        <td style=\"text-align: left;\">\n",
       "                            <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:36819/status\" target=\"_blank\">http://127.0.0.1:36819/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://127.0.0.1:32817\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-nmxepsqj\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://127.0.0.1:45659\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://127.0.0.1:37401/status\" target=\"_blank\">http://127.0.0.1:37401/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://127.0.0.1:43259\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-p7k6_cb_\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://127.0.0.1:34643\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://127.0.0.1:42065/status\" target=\"_blank\">http://127.0.0.1:42065/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://127.0.0.1:41411\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-imer2g7g\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://127.0.0.1:38487' 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": "9fe09ddf",
   "metadata": {
    "papermill": {
     "duration": 0.004082,
     "end_time": "2025-10-28T23:31:52.806259",
     "exception": false,
     "start_time": "2025-10-28T23:31:52.802177",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "## 2. Loading data <a id='load_data'></a>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d6762e6a",
   "metadata": {
    "papermill": {
     "duration": 0.003937,
     "end_time": "2025-10-28T23:31:52.814209",
     "exception": false,
     "start_time": "2025-10-28T23:31:52.810272",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "### 2.1. Monthly/annual flow netCDFs\n",
    "- month_data (xr dataset) - read from archive\n",
    "- year_data (xr dataset) - computed from monthly\n",
    "- seas_data (xr dataset) - computed from monthly"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "43c7dca6",
   "metadata": {
    "editable": true,
    "execution": {
     "iopub.execute_input": "2025-10-28T23:31:52.823634Z",
     "iopub.status.busy": "2025-10-28T23:31:52.823174Z",
     "iopub.status.idle": "2025-10-28T23:32:26.929318Z",
     "shell.execute_reply": "2025-10-28T23:32:26.928938Z"
    },
    "papermill": {
     "duration": 34.119918,
     "end_time": "2025-10-28T23:32:26.938107",
     "exception": false,
     "start_time": "2025-10-28T23:31:52.818189",
     "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 7.38 s, sys: 1.07 s, total: 8.45 s\n",
      "Wall time: 34.1 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)).load()\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] = xr.open_dataset(f\"{ancillary_dir}/{domain}\")[\"reachID\"].values\n",
    "    print(f\"Finished loading {case}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "13ca948c",
   "metadata": {
    "papermill": {
     "duration": 0.004098,
     "end_time": "2025-10-28T23:32:26.946478",
     "exception": false,
     "start_time": "2025-10-28T23:32:26.942380",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "### 2.2 Large river ID and name ascii\n",
    "- big_river_50: dictionary {_site_id_:_river name_}\n",
    "- big_river_24: dictionary {_site_id_:_river name_}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "14c73078",
   "metadata": {
    "editable": true,
    "execution": {
     "iopub.execute_input": "2025-10-28T23:32:26.955632Z",
     "iopub.status.busy": "2025-10-28T23:32:26.955324Z",
     "iopub.status.idle": "2025-10-28T23:32:26.966091Z",
     "shell.execute_reply": "2025-10-28T23:32:26.965723Z"
    },
    "papermill": {
     "duration": 0.016144,
     "end_time": "2025-10-28T23:32:26.966654",
     "exception": false,
     "start_time": "2025-10-28T23:32:26.950510",
     "status": "completed"
    },
    "slideshow": {
     "slide_type": ""
    },
    "tags": [
     "hide-input"
    ]
   },
   "outputs": [],
   "source": [
    "df = pd.read_csv(\"./setup/large_river_50.txt\", index_col=\"river_name\")\n",
    "big_river_50 = {key: values[\"site_id\"] for key, values in df.iterrows()}\n",
    "big_river_24 = {\n",
    "    key: values[\"site_id\"] for ix, (key, values) in enumerate(df.iterrows()) if ix < 24\n",
    "}  # The first 24 is used for plots"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "044d8bde",
   "metadata": {
    "papermill": {
     "duration": 0.005546,
     "end_time": "2025-10-28T23:32:26.979630",
     "exception": false,
     "start_time": "2025-10-28T23:32:26.974084",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "### 2.3. reach-D19 gauge link csv\n",
    "- gauge_reach_lnk (dataframe)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "1dae3e05",
   "metadata": {
    "editable": true,
    "execution": {
     "iopub.execute_input": "2025-10-28T23:32:26.988791Z",
     "iopub.status.busy": "2025-10-28T23:32:26.988507Z",
     "iopub.status.idle": "2025-10-28T23:32:27.298641Z",
     "shell.execute_reply": "2025-10-28T23:32:27.297989Z"
    },
    "papermill": {
     "duration": 0.316459,
     "end_time": "2025-10-28T23:32:27.300151",
     "exception": false,
     "start_time": "2025-10-28T23:32:26.983692",
     "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": "1c8aad4c",
   "metadata": {
    "papermill": {
     "duration": 0.004064,
     "end_time": "2025-10-28T23:32:27.311411",
     "exception": false,
     "start_time": "2025-10-28T23:32:27.307347",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "### 2.4 D19 flow site shapefile\n",
    "- gauge_shp (dataframe)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "24d98bb3",
   "metadata": {
    "editable": true,
    "execution": {
     "iopub.execute_input": "2025-10-28T23:32:27.320493Z",
     "iopub.status.busy": "2025-10-28T23:32:27.320197Z",
     "iopub.status.idle": "2025-10-28T23:32:27.417183Z",
     "shell.execute_reply": "2025-10-28T23:32:27.416354Z"
    },
    "papermill": {
     "duration": 0.102913,
     "end_time": "2025-10-28T23:32:27.418321",
     "exception": false,
     "start_time": "2025-10-28T23:32:27.315408",
     "status": "completed"
    },
    "slideshow": {
     "slide_type": ""
    },
    "tags": [
     "hide-input"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 25.5 ms, sys: 3.51 ms, total: 29 ms\n",
      "Wall time: 91.8 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": "790ec49f",
   "metadata": {
    "papermill": {
     "duration": 0.004197,
     "end_time": "2025-10-28T23:32:27.430860",
     "exception": false,
     "start_time": "2025-10-28T23:32:27.426663",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "### 2.5 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": 11,
   "id": "66bdd66e",
   "metadata": {
    "editable": true,
    "execution": {
     "iopub.execute_input": "2025-10-28T23:32:27.441755Z",
     "iopub.status.busy": "2025-10-28T23:32:27.441473Z",
     "iopub.status.idle": "2025-10-28T23:32:27.648490Z",
     "shell.execute_reply": "2025-10-28T23:32:27.648080Z"
    },
    "papermill": {
     "duration": 0.213018,
     "end_time": "2025-10-28T23:32:27.649649",
     "exception": false,
     "start_time": "2025-10-28T23:32:27.436631",
     "status": "completed"
    },
    "slideshow": {
     "slide_type": ""
    },
    "tags": [
     "hide-input"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 117 ms, sys: 11.1 ms, total: 128 ms\n",
      "Wall time: 201 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\"]\n",
    "else:\n",
    "    ds_q_obs_mon = ds_q[\"FLOW\"].sel(time=slice(str(mon_time[0]), str(mon_time[-1])))\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\")\n",
    "# annual mean, max, and min flow during time_period\n",
    "ds_q_obs_yr_min = ds_q_obs_yr.min(\"time\")\n",
    "ds_q_obs_yr_max = ds_q_obs_yr.max(\"time\")\n",
    "ds_q_obs_yr_mean = ds_q_obs_yr.mean(\"time\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "db019484",
   "metadata": {
    "papermill": {
     "duration": 0.00431,
     "end_time": "2025-10-28T23:32:27.661318",
     "exception": false,
     "start_time": "2025-10-28T23:32:27.657008",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "### 2.6 Get indices in observation and simulation for gauge name (processing)\n",
    "- gauge_plot (dictionary)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "be0f70f5",
   "metadata": {
    "editable": true,
    "execution": {
     "iopub.execute_input": "2025-10-28T23:32:27.672260Z",
     "iopub.status.busy": "2025-10-28T23:32:27.671956Z",
     "iopub.status.idle": "2025-10-28T23:32:27.771454Z",
     "shell.execute_reply": "2025-10-28T23:32:27.770576Z"
    },
    "papermill": {
     "duration": 0.105256,
     "end_time": "2025-10-28T23:32:27.772347",
     "exception": false,
     "start_time": "2025-10-28T23:32:27.667091",
     "status": "completed"
    },
    "slideshow": {
     "slide_type": ""
    },
    "tags": [
     "hide-input"
    ]
   },
   "outputs": [],
   "source": [
    "gauge_plot = {}\n",
    "for gname, site_id in big_river_50.items():\n",
    "    gauge_plot[gname] = {}\n",
    "    for case in case_dic.keys():\n",
    "        gauge_ix = [\n",
    "            i for i, gid in enumerate(ds_q.id.values) if gid == site_id\n",
    "        ]  # go through obs Dataset and get index matching to river (gauge) name\n",
    "        gauge_id = ds_q.id.values[gauge_ix][0]  ## guage ID\n",
    "        seg_id = (\n",
    "            gauge_reach_lnk[case]\n",
    "            .loc[gauge_reach_lnk[case][\"gauge_id\"] == gauge_id][\"route_id\"]\n",
    "            .values\n",
    "        )  # matching reach ID in river network\n",
    "        seg_ix = np.argwhere(\n",
    "            reachID[case] == seg_id\n",
    "        )  # matching reach index in river network\n",
    "        if len(seg_ix) == 0:\n",
    "            seg_ix = -999\n",
    "        else:\n",
    "            seg_ix = seg_ix[0]\n",
    "        gauge_plot[gname][case] = [gauge_ix, seg_ix, seg_id]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e2783911",
   "metadata": {
    "papermill": {
     "duration": 0.004335,
     "end_time": "2025-10-28T23:32:27.786242",
     "exception": false,
     "start_time": "2025-10-28T23:32:27.781907",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "------\n",
    "## 3. Analysis for 24 large rivers <a id='24_large_rivers'></a>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "33fa151d",
   "metadata": {
    "papermill": {
     "duration": 0.004267,
     "end_time": "2025-10-28T23:32:27.794767",
     "exception": false,
     "start_time": "2025-10-28T23:32:27.790500",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "### 3.1 Annual flow series"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "f27bf49b",
   "metadata": {
    "editable": true,
    "execution": {
     "iopub.execute_input": "2025-10-28T23:32:27.804411Z",
     "iopub.status.busy": "2025-10-28T23:32:27.804102Z",
     "iopub.status.idle": "2025-10-28T23:32:29.434527Z",
     "shell.execute_reply": "2025-10-28T23:32:29.434103Z"
    },
    "papermill": {
     "duration": 1.63787,
     "end_time": "2025-10-28T23:32:29.436876",
     "exception": false,
     "start_time": "2025-10-28T23:32:27.799006",
     "status": "completed"
    },
    "slideshow": {
     "slide_type": ""
    },
    "tags": [
     "hide-input"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 258 ms, sys: 5.4 ms, total: 263 ms\n",
      "Wall time: 260 ms\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 725x1150 with 24 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%%time\n",
    "\n",
    "fig, axes = plt.subplots(8, 3, figsize=(7.25, 11.5))\n",
    "plt.subplots_adjust(\n",
    "    top=0.975, 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, river_name in enumerate(big_river_24.keys()):\n",
    "    row = ix // 3\n",
    "    col = ix % 3\n",
    "    for case, meta in case_dic.items():\n",
    "        net_idx = gauge_plot[river_name][case][1]\n",
    "        gaug_idx = gauge_plot[river_name][case][0]\n",
    "\n",
    "        q_name = case_meta[meta[\"grid\"]][\"flow_name\"]\n",
    "\n",
    "        if len(net_idx) == 1:\n",
    "            year_data[case][q_name][:, net_idx].plot(\n",
    "                ax=axes[row, col], linestyle=\"-\", lw=0.75, label=case\n",
    "            )\n",
    "        elif len(net_idx) == 2:  # means 2d grid\n",
    "            year_data[case][q_name][:, net_idx[0], net_idx[1]].plot(\n",
    "                ax=axes[row, col], linestyle=\"-\", lw=0.75, label=case\n",
    "            )\n",
    "    if obs_available:\n",
    "        ds_q_obs_yr.loc[:, gaug_idx].plot(\n",
    "            ax=axes[row, col],\n",
    "            linestyle=\"None\",\n",
    "            marker=\"o\",\n",
    "            markersize=3,\n",
    "            c=\"k\",\n",
    "            label=\"D19\",\n",
    "        )\n",
    "    else:\n",
    "        qob_mean = ds_q_obs_yr_mean.loc[gaug_idx]\n",
    "        qob_max = ds_q_obs_yr_max.loc[gaug_idx]\n",
    "        qob_min = ds_q_obs_yr_min.loc[gaug_idx]\n",
    "        axes[row, col].axhline(\n",
    "            y=qob_mean, color=\"k\", linestyle=\"--\", lw=0.5, label=\"D19 mean (1900-2018)\"\n",
    "        )\n",
    "        axes[row, col].axhspan(\n",
    "            qob_min[0],\n",
    "            qob_max[0],\n",
    "            color=\"gray\",\n",
    "            alpha=0.1,\n",
    "            label=\"D19 min-max (1900-2018)\",\n",
    "        )\n",
    "\n",
    "    axes[row, col].set_title(\"%d %s\" % (ix + 1, river_name), fontsize=8)\n",
    "\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(\"Annual flow [m$^3$/s]\", fontsize=8)\n",
    "    else:\n",
    "        axes[row, col].set_ylabel(\"\")\n",
    "    axes[row, col].tick_params(\"both\", labelsize=\"xx-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.flatten()[-2].legend(\n",
    "    loc=\"upper center\",\n",
    "    bbox_to_anchor=(0.125, -0.35, 0.75, 0.1),\n",
    "    ncol=5,\n",
    "    fontsize=\"x-small\",\n",
    ")\n",
    "\n",
    "if figureSave:\n",
    "    plt.savefig(f\"./NB1_Fig1_big_river_annual_{analysis_name}.png\", dpi=200)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d659d81a",
   "metadata": {
    "papermill": {
     "duration": 0.005873,
     "end_time": "2025-10-28T23:32:29.453579",
     "exception": false,
     "start_time": "2025-10-28T23:32:29.447706",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "### 3.2. Annual cycle at monthly step"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "9d76b60c",
   "metadata": {
    "editable": true,
    "execution": {
     "iopub.execute_input": "2025-10-28T23:32:29.466166Z",
     "iopub.status.busy": "2025-10-28T23:32:29.465872Z",
     "iopub.status.idle": "2025-10-28T23:32:30.419905Z",
     "shell.execute_reply": "2025-10-28T23:32:30.419513Z"
    },
    "papermill": {
     "duration": 0.96113,
     "end_time": "2025-10-28T23:32:30.420412",
     "exception": false,
     "start_time": "2025-10-28T23:32:29.459282",
     "status": "completed"
    },
    "slideshow": {
     "slide_type": ""
    },
    "tags": [
     "hide-input"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 152 ms, sys: 4.87 ms, total: 157 ms\n",
      "Wall time: 156 ms\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 725x1150 with 24 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%%time\n",
    "\n",
    "fig, axes = plt.subplots(8, 3, figsize=(7.25, 11.5))\n",
    "plt.subplots_adjust(\n",
    "    top=0.975, 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, river_name in enumerate(big_river_24.keys()):\n",
    "    row = ix // 3\n",
    "    col = ix % 3\n",
    "    for case, meta in case_dic.items():\n",
    "        net_idx = gauge_plot[river_name][case][1]\n",
    "        gaug_idx = gauge_plot[river_name][case][0]\n",
    "\n",
    "        q_name = case_meta[meta[\"grid\"]][\"flow_name\"]\n",
    "\n",
    "        if len(net_idx) == 1:  # means vector\n",
    "            seas_data[case][q_name][:, net_idx].plot(\n",
    "                ax=axes[row, col], linestyle=\"-\", lw=0.75, label=case\n",
    "            )\n",
    "        elif len(net_idx) == 2:  # means 2d grid\n",
    "            seas_data[case][q_name][:, net_idx[0], net_idx[1]].plot(\n",
    "                ax=axes[row, col], linestyle=\"-\", lw=1.0, label=case\n",
    "            )\n",
    "\n",
    "    if obs_available:\n",
    "        dr_q_obs_seasonal.loc[:, gaug_idx].plot(\n",
    "            ax=axes[row, col],\n",
    "            linestyle=\":\",\n",
    "            lw=0.5,\n",
    "            marker=\"o\",\n",
    "            markersize=2,\n",
    "            c=\"k\",\n",
    "            label=\"D19\",\n",
    "        )\n",
    "\n",
    "    axes[row, col].set_title(\"%d %s\" % (ix + 1, river_name), fontsize=8)\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=8)\n",
    "    else:\n",
    "        axes[row, col].set_ylabel(\"\")\n",
    "    axes[row, col].tick_params(\"both\", labelsize=\"xx-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.flatten()[-2].legend(\n",
    "    loc=\"upper center\",\n",
    "    bbox_to_anchor=(0.10, -0.30, 0.75, 0.1),\n",
    "    ncol=5,\n",
    "    fontsize=\"x-small\",\n",
    ")\n",
    "\n",
    "if figureSave:\n",
    "    plt.savefig(f\"./NB1_Fig2_big_river_season_{analysis_name}.png\", dpi=200)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4c3930ca",
   "metadata": {
    "papermill": {
     "duration": 0.007054,
     "end_time": "2025-10-28T23:32:30.435411",
     "exception": false,
     "start_time": "2025-10-28T23:32:30.428357",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "### 3.3. scatter plots of monthly flow - obs vs sim"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "97433774",
   "metadata": {
    "editable": true,
    "execution": {
     "iopub.execute_input": "2025-10-28T23:32:30.451077Z",
     "iopub.status.busy": "2025-10-28T23:32:30.450779Z",
     "iopub.status.idle": "2025-10-28T23:32:30.464612Z",
     "shell.execute_reply": "2025-10-28T23:32:30.463869Z"
    },
    "papermill": {
     "duration": 0.022855,
     "end_time": "2025-10-28T23:32:30.465680",
     "exception": false,
     "start_time": "2025-10-28T23:32:30.442825",
     "status": "completed"
    },
    "slideshow": {
     "slide_type": ""
    },
    "tags": [
     "hide-input"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 3 μs, sys: 0 ns, total: 3 μs\n",
      "Wall time: 5.25 μs\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "\n",
    "if obs_available:\n",
    "    # Monthly flow scatter plot\n",
    "    fig, axes = plt.subplots(8, 3, figsize=(7.50, 15.00))\n",
    "    plt.subplots_adjust(\n",
    "        top=0.995, bottom=0.075, right=0.995, left=0.1, wspace=0.25, hspace=0.25\n",
    "    )\n",
    "\n",
    "    for ix, river_name in enumerate(big_river_24.keys()):\n",
    "        row = ix // 3\n",
    "        col = ix % 3\n",
    "        axes[row, col].yaxis.set_major_formatter(FormatStrFormatter(\"%.0f\"))\n",
    "\n",
    "        for jx, (case, meta) in enumerate(case_dic.items()):\n",
    "\n",
    "            net_idx = gauge_plot[river_name][case][1]\n",
    "            gaug_idx = gauge_plot[river_name][case][0]\n",
    "\n",
    "            q_name = case_meta[meta[\"grid\"]][\"flow_name\"]\n",
    "\n",
    "            if len(net_idx) == 1:  # means vector\n",
    "                ds_sim = month_data[case][q_name][:, net_idx]\n",
    "            elif len(net_idx) == 2:  # means 2d grid\n",
    "                ds_sim = month_data[case][q_name][:, net_idx[0], net_idx[1]].squeeze()\n",
    "\n",
    "            ds_obs = ds_q_obs_mon.sel(time=meta[\"time_period\"]).loc[:, gaug_idx]\n",
    "\n",
    "            axes[row, col].plot(\n",
    "                ds_obs, ds_sim, \"o\", label=case, markersize=4.0, alpha=0.4\n",
    "            )\n",
    "            if jx == 0:\n",
    "                max_val = np.max(ds_obs)\n",
    "                min_val = np.min(ds_obs)\n",
    "            else:\n",
    "                max_val = np.max([np.max(ds_sim), max_val])\n",
    "                min_val = np.min([np.min(ds_sim), min_val])\n",
    "\n",
    "        axes[row, col].plot(\n",
    "            [min_val * 0.98, max_val * 1.02],\n",
    "            [min_val * 0.98, max_val * 1.02],\n",
    "            \":k\",\n",
    "            linewidth=0.5,\n",
    "        )\n",
    "\n",
    "        axes[row, col].annotate(\n",
    "            \"%d %s\" % (ix + 1, river_name),\n",
    "            xy=(0.05, 0.875),\n",
    "            xycoords=\"axes fraction\",\n",
    "            fontsize=8,\n",
    "            bbox=dict(facecolor=\"white\", edgecolor=\"None\", alpha=0.8),\n",
    "        )\n",
    "        if row == 7 and col == 1:\n",
    "            axes[row, col].set_xlabel(\n",
    "                \"Monthly reference discharge [m$^3$/s]\", fontsize=9\n",
    "            )\n",
    "        else:\n",
    "            axes[row, col].set_xlabel(\"\")\n",
    "\n",
    "        if col == 0 and row == 5:\n",
    "            axes[row, col].set_ylabel(\n",
    "                \"Monthly simulated discharge [m$^3$/s]\", fontsize=10\n",
    "            )\n",
    "        else:\n",
    "            axes[row, col].set_ylabel(\"\")\n",
    "        axes[row, col].tick_params(\"both\", labelsize=\"xx-small\")\n",
    "\n",
    "    axes.flatten()[-2].legend(\n",
    "        loc=\"upper center\",\n",
    "        bbox_to_anchor=(0.10, -0.40, 0.75, 0.1),\n",
    "        ncol=5,\n",
    "        fontsize=\"x-small\",\n",
    "    )\n",
    "\n",
    "    if figureSave:\n",
    "        plt.savefig(f\"./NB1_Fig3_big_river_month_scatter_{analysis_name}.png\", dpi=200)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7d4f7d74",
   "metadata": {
    "papermill": {
     "duration": 0.007789,
     "end_time": "2025-10-28T23:32:30.485318",
     "exception": false,
     "start_time": "2025-10-28T23:32:30.477529",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "### 3.4. scatter plots of annual flow"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "ced8d710",
   "metadata": {
    "editable": true,
    "execution": {
     "iopub.execute_input": "2025-10-28T23:32:30.501494Z",
     "iopub.status.busy": "2025-10-28T23:32:30.501196Z",
     "iopub.status.idle": "2025-10-28T23:32:30.513968Z",
     "shell.execute_reply": "2025-10-28T23:32:30.513606Z"
    },
    "papermill": {
     "duration": 0.021467,
     "end_time": "2025-10-28T23:32:30.514433",
     "exception": false,
     "start_time": "2025-10-28T23:32:30.492966",
     "status": "completed"
    },
    "slideshow": {
     "slide_type": ""
    },
    "tags": [
     "hide-input"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 4 μs, sys: 0 ns, total: 4 μs\n",
      "Wall time: 8.11 μs\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "if obs_available:\n",
    "    # annual flow scatter plot\n",
    "    fig, axes = plt.subplots(8, 3, figsize=(7.50, 15.00))\n",
    "    plt.subplots_adjust(\n",
    "        top=0.995, bottom=0.075, right=0.995, left=0.1, wspace=0.25, hspace=0.25\n",
    "    )\n",
    "\n",
    "    for ix, river_name in enumerate(big_river_24.keys()):\n",
    "        row = ix // 3\n",
    "        col = ix % 3\n",
    "        axes[row, col].yaxis.set_major_formatter(FormatStrFormatter(\"%.0f\"))\n",
    "\n",
    "        for jx, (case, meta) in enumerate(case_dic.items()):\n",
    "            net_idx = gauge_plot[river_name][case][1]\n",
    "            gaug_idx = gauge_plot[river_name][case][0]\n",
    "\n",
    "            q_name = case_meta[meta[\"grid\"]][\"flow_name\"]\n",
    "\n",
    "            if len(net_idx) == 1:  # means vector\n",
    "                ds_sim = year_data[case][q_name][:, net_idx]\n",
    "            elif len(net_idx) == 2:  # means 2d grid\n",
    "                ds_sim = year_data[case][q_name][:, net_idx[0], net_idx[1]]\n",
    "\n",
    "            ds_obs = ds_q_obs_yr.sel(time=meta[\"time_period\"]).loc[:, gaug_idx]\n",
    "\n",
    "            axes[row, col].plot(\n",
    "                ds_obs, ds_sim, \"o\", label=case, markersize=4.0, alpha=0.4\n",
    "            )\n",
    "            if jx == 0:\n",
    "                max_val = np.max(ds_obs)\n",
    "                min_val = np.min(ds_obs)\n",
    "            else:\n",
    "                max_val = np.max([np.max(ds_sim), max_val])\n",
    "                min_val = np.min([np.min(ds_sim), min_val])\n",
    "\n",
    "        axes[row, col].plot(\n",
    "            [min_val * 0.98, max_val * 1.02],\n",
    "            [min_val * 0.98, max_val * 1.02],\n",
    "            \":k\",\n",
    "            linewidth=0.5,\n",
    "        )\n",
    "\n",
    "        axes[row, col].annotate(\n",
    "            \"%d %s\" % (ix + 1, river_name),\n",
    "            xy=(0.05, 0.875),\n",
    "            xycoords=\"axes fraction\",\n",
    "            fontsize=8,\n",
    "            bbox=dict(facecolor=\"white\", edgecolor=\"None\", alpha=0.8),\n",
    "        )\n",
    "        if row == 7 and col == 1:\n",
    "            axes[row, col].set_xlabel(\n",
    "                \"Monthly reference discharge [m$^3$/s]\", fontsize=9\n",
    "            )\n",
    "        else:\n",
    "            axes[row, col].set_xlabel(\"\")\n",
    "\n",
    "        if col == 0 and row == 5:\n",
    "            axes[row, col].set_ylabel(\n",
    "                \"Monthly simulated discharge [m$^3$/s]\", fontsize=10\n",
    "            )\n",
    "        else:\n",
    "            axes[row, col].set_ylabel(\"\")\n",
    "        axes[row, col].tick_params(\"both\", labelsize=\"xx-small\")\n",
    "\n",
    "    axes.flatten()[-2].legend(\n",
    "        loc=\"upper center\",\n",
    "        bbox_to_anchor=(0.10, -0.40, 0.75, 0.1),\n",
    "        ncol=5,\n",
    "        fontsize=\"x-small\",\n",
    "    )\n",
    "\n",
    "    if figureSave:\n",
    "        plt.savefig(f\"./NB1_Fig4_big_river_annual_scatter_{analysis_name}.png\", dpi=200)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "60dd10f8",
   "metadata": {
    "papermill": {
     "duration": 0.007621,
     "end_time": "2025-10-28T23:32:30.533232",
     "exception": false,
     "start_time": "2025-10-28T23:32:30.525611",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "## 4. Anaysis for Large 50 rivers <a id='50_large_rivers'></a>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a1062798",
   "metadata": {
    "papermill": {
     "duration": 0.007565,
     "end_time": "2025-10-28T23:32:30.548443",
     "exception": false,
     "start_time": "2025-10-28T23:32:30.540878",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "### 4.1 Summary tables"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "81542fa8",
   "metadata": {
    "editable": true,
    "execution": {
     "iopub.execute_input": "2025-10-28T23:32:30.565553Z",
     "iopub.status.busy": "2025-10-28T23:32:30.564728Z",
     "iopub.status.idle": "2025-10-28T23:32:30.662282Z",
     "shell.execute_reply": "2025-10-28T23:32:30.661803Z"
    },
    "papermill": {
     "duration": 0.107178,
     "end_time": "2025-10-28T23:32:30.663493",
     "exception": false,
     "start_time": "2025-10-28T23:32:30.556315",
     "status": "completed"
    },
    "slideshow": {
     "slide_type": ""
    },
    "tags": [
     "hide-input"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 82 ms, sys: 736 μs, total: 82.8 ms\n",
      "Wall time: 85.1 ms\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "\n",
    "with open(f\"large50rivers_{analysis_name}.txt\", \"w\") as f:\n",
    "    # some meta\n",
    "    f.write(\"# obs: Dai et al.(2019)\\n\")\n",
    "    f.write(\"# vol: km^3/yr\\n\")\n",
    "    f.write(\"# area: km^2\\n\")\n",
    "\n",
    "    # headers\n",
    "    f.write(\"No,          river_name,\")\n",
    "    f.write(\"{0: >15}_vol,\".format(\"obs\"))\n",
    "    for jx, (case, meta) in enumerate(case_dic.items()):\n",
    "        f.write(\"{0: >15}_vol,\".format(meta[\"grid\"]))\n",
    "    f.write(\"{0: >15}_area\".format(\"obs\"))\n",
    "    for jx, (case, meta) in enumerate(case_dic.items()):\n",
    "        f.write(\",\")\n",
    "        f.write(\"{0: >15}_area\".format(meta[\"grid\"]))\n",
    "    f.write(\"\\n\")\n",
    "\n",
    "    # data for each river\n",
    "    for ix, river_name in enumerate(big_river_50.keys()):\n",
    "\n",
    "        f.write(\"%02d,\" % (ix + 1))\n",
    "        f.write(\"{0: >20}\".format(river_name))\n",
    "\n",
    "        for jx, (case, meta) in enumerate(case_dic.items()):\n",
    "            f.write(\",\")\n",
    "            net_idx = gauge_plot[river_name][case][1]\n",
    "            gaug_idx = gauge_plot[river_name][case][0]\n",
    "\n",
    "            q_name = case_meta[meta[\"grid\"]][\"flow_name\"]\n",
    "\n",
    "            if len(net_idx) == 1:  # means vector\n",
    "                qsim = (\n",
    "                    np.nanmean(year_data[case][q_name][:, net_idx].values)\n",
    "                    * 60\n",
    "                    * 60\n",
    "                    * 24\n",
    "                    * 365\n",
    "                    / 10**9\n",
    "                )\n",
    "            elif len(net_idx) == 2:  # means 2d grid\n",
    "                qsim = (\n",
    "                    np.nanmean(\n",
    "                        year_data[case][q_name][:, net_idx[0], net_idx[1]].values\n",
    "                    )\n",
    "                    * 60\n",
    "                    * 60\n",
    "                    * 24\n",
    "                    * 365\n",
    "                    / 10**9\n",
    "                )\n",
    "\n",
    "            if jx == 0:\n",
    "                qobs = (\n",
    "                    ds_q_obs_yr_mean.loc[gaug_idx].values[0]\n",
    "                    * 60\n",
    "                    * 60\n",
    "                    * 24\n",
    "                    * 365\n",
    "                    / 10**9\n",
    "                )\n",
    "                f.write(\"{:19.1f},\".format(qobs))\n",
    "\n",
    "            f.write(\"{:19.1f}\".format(qsim))\n",
    "\n",
    "        for jx, (case, _) in enumerate(case_dic.items()):\n",
    "            f.write(\",\")\n",
    "            gaug_idx = gauge_plot[river_name][case][0]\n",
    "\n",
    "            # just get gauge_id from qs_q for now\n",
    "            gauge_id = ds_q[\"id\"].loc[gaug_idx].values[0]\n",
    "            network_area = gauge_reach_lnk[case][\n",
    "                gauge_reach_lnk[case][\"gauge_id\"] == gauge_id\n",
    "            ][\"route_area\"].values[0]\n",
    "\n",
    "            if jx == 0:\n",
    "                area = ds_q[\"area_stn\"].loc[gaug_idx].values[0]\n",
    "                f.write(\"{:20.0f},\".format(area))\n",
    "\n",
    "            f.write(\"{:20.0f}\".format(network_area))\n",
    "\n",
    "        f.write(\"\\n\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bfddbf83",
   "metadata": {
    "papermill": {
     "duration": 0.007921,
     "end_time": "2025-10-28T23:32:30.685426",
     "exception": false,
     "start_time": "2025-10-28T23:32:30.677505",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "### 4.2. scatter plot of annual mean flow"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "9967df1d",
   "metadata": {
    "editable": true,
    "execution": {
     "iopub.execute_input": "2025-10-28T23:32:30.702054Z",
     "iopub.status.busy": "2025-10-28T23:32:30.701751Z",
     "iopub.status.idle": "2025-10-28T23:32:30.709995Z",
     "shell.execute_reply": "2025-10-28T23:32:30.709610Z"
    },
    "papermill": {
     "duration": 0.017732,
     "end_time": "2025-10-28T23:32:30.710832",
     "exception": false,
     "start_time": "2025-10-28T23:32:30.693100",
     "status": "completed"
    },
    "slideshow": {
     "slide_type": ""
    },
    "tags": [
     "hide-input"
    ]
   },
   "outputs": [],
   "source": [
    "if obs_available:\n",
    "\n",
    "    df_yr_vol = pd.read_csv(\n",
    "        f\"./large50rivers_{analysis_name}.txt\",\n",
    "        skiprows=3,\n",
    "        index_col=[\"No\"],\n",
    "        skipinitialspace=True,\n",
    "    )\n",
    "\n",
    "    fig, axes = plt.subplots(1, figsize=(5.50, 5.50))\n",
    "    regressor = LinearRegression()\n",
    "    bias_text = \"\"\n",
    "\n",
    "    for jx, (case, meta) in enumerate(case_dic.items()):\n",
    "        # compute linear regression\n",
    "        df_reg = df_yr_vol[[\"obs_vol\", f\"{meta['grid']}_vol\"]].dropna()\n",
    "        regressor.fit(df_reg[[\"obs_vol\"]], df_reg[f\"{meta['grid']}_vol\"])\n",
    "        y_pred = regressor.predict(df_reg[[\"obs_vol\"]])\n",
    "\n",
    "        # compute bias over 50 sites\n",
    "        diff = (df_yr_vol[f\"{meta['grid']}_vol\"] - df_yr_vol[\"obs_vol\"]).mean(\n",
    "            axis=0, skipna=True\n",
    "        )\n",
    "\n",
    "        df_yr_vol.plot(\n",
    "            ax=axes,\n",
    "            kind=\"scatter\",\n",
    "            x=\"obs_vol\",\n",
    "            y=f\"{meta['grid']}_vol\",\n",
    "            s=30,\n",
    "            alpha=0.6,\n",
    "            label=meta[\"grid\"],\n",
    "        )\n",
    "        # plt.plot(df_reg['obs_vol'], y_pred, color=color)\n",
    "        bias_text = bias_text + f\"\\n{meta['grid']}: {diff:.1f} \"\n",
    "\n",
    "    plt.text(\n",
    "        0.65, 0.30, \"bias [km3/yr]\", transform=axes.transAxes, verticalalignment=\"top\"\n",
    "    )\n",
    "    plt.text(\n",
    "        0.65, 0.30, f\"{bias_text} \", transform=axes.transAxes, verticalalignment=\"top\"\n",
    "    )\n",
    "\n",
    "    plt.axline((0, 0), slope=1, linestyle=\"--\", color=\"black\")\n",
    "    axes.set_xscale(\"log\")\n",
    "    axes.set_yscale(\"log\")\n",
    "    axes.set_xlabel(\"reference flow\")\n",
    "    axes.set_ylabel(\"Simulated flow\")\n",
    "    axes.set_title(\"River Flow at stations [km^3/yr]\")\n",
    "\n",
    "    if figureSave:\n",
    "        plt.savefig(\n",
    "            f\"./NB1_Fig5_50big_river_annual_flow_scatter_{analysis_name}.png\", dpi=200\n",
    "        )"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a404d622",
   "metadata": {
    "papermill": {
     "duration": 0.009752,
     "end_time": "2025-10-28T23:32:30.735043",
     "exception": false,
     "start_time": "2025-10-28T23:32:30.725291",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "------\n",
    "## 5. Anaysis for all 922 sites <a id='922_rivers'></a>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "95064341",
   "metadata": {
    "papermill": {
     "duration": 0.007944,
     "end_time": "2025-10-28T23:32:30.750763",
     "exception": false,
     "start_time": "2025-10-28T23:32:30.742819",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "### 5.1 Compute metris at all the sites (no plots nor tables)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "310a379e",
   "metadata": {
    "editable": true,
    "execution": {
     "iopub.execute_input": "2025-10-28T23:32:30.767009Z",
     "iopub.status.busy": "2025-10-28T23:32:30.766692Z",
     "iopub.status.idle": "2025-10-28T23:32:30.773175Z",
     "shell.execute_reply": "2025-10-28T23:32:30.772931Z"
    },
    "papermill": {
     "duration": 0.015048,
     "end_time": "2025-10-28T23:32:30.773582",
     "exception": false,
     "start_time": "2025-10-28T23:32:30.758534",
     "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: 3.58 μs\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "if obs_available:\n",
    "    # Merge gauge_reach lnk (dataframe) into gauge shapefile\n",
    "    gauge_shp1 = {}\n",
    "    for case, df in gauge_reach_lnk.items():\n",
    "        # df = df.loc[(df['flag'] == 0)]\n",
    "        df1 = df.drop(columns=[\"riv_name\"])\n",
    "        gauge_shp1[case] = pd.merge(\n",
    "            gauge_shp, df1, how=\"inner\", left_on=\"id\", right_on=\"gauge_id\"\n",
    "        )\n",
    "\n",
    "    # compute %bias, correlation, and RMSE at each site based on monthly\n",
    "    mon_pbias = {}\n",
    "    mon_corr = {}\n",
    "    mon_rmse = {}\n",
    "\n",
    "    for case, meta in case_dic.items():\n",
    "        bias = np.full(len(gauge_shp1[case]), np.nan, dtype=float)\n",
    "        corr = np.full(len(gauge_shp1[case]), np.nan, dtype=float)\n",
    "        rmse = np.full(len(gauge_shp1[case]), np.nan, dtype=float)\n",
    "\n",
    "        q_name = case_meta[meta[\"grid\"]][\"flow_name\"]\n",
    "\n",
    "        for ix, row in gauge_shp1[case].iterrows():\n",
    "            q_obs = np.full(\n",
    "                meta[\"climo_nyrs\"] * 12, np.nan, dtype=float\n",
    "            )  # dummy q_sim that will be replaced by actual data if exist\n",
    "            q_sim = np.full(\n",
    "                meta[\"climo_nyrs\"] * 12, np.nan, dtype=float\n",
    "            )  # dummy q_sim that will be replaced by actual data if exist\n",
    "\n",
    "            route_id = row[\"route_id\"]\n",
    "            gauge_id = row[\"gauge_id\"]\n",
    "\n",
    "            gauge_ix = np.argwhere(ds_q.id.values == gauge_id)\n",
    "            if len(gauge_ix) == 1:\n",
    "                gauge_ix = gauge_ix[0]\n",
    "                q_obs = ds_q_obs_mon[:, gauge_ix].squeeze().values\n",
    "\n",
    "            route_ix = np.argwhere(reachID[case] == route_id)\n",
    "            if (\n",
    "                len(route_ix) == 1\n",
    "            ):  # meaning there is flow site in network and simulation exist at this site\n",
    "                route_ix = route_ix[0]\n",
    "                if len(route_ix) == 1:  # means vector\n",
    "                    q_sim = month_data[case][q_name][:, route_ix].squeeze().values\n",
    "                elif len(route_ix) == 2:  # means 2d grid\n",
    "                    q_sim = (\n",
    "                        month_data[case][q_name][:, route_ix[0], route_ix[1]]\n",
    "                        .squeeze()\n",
    "                        .values\n",
    "                    )\n",
    "\n",
    "                # compute %bias, correlation, RMSE\n",
    "                bias[ix] = metric.pbias(q_sim, q_obs)\n",
    "                corr[ix] = metric.corr(q_sim, q_obs)\n",
    "                rmse[ix] = metric.rmse(qsim, qobs)\n",
    "\n",
    "        mon_pbias[case] = bias\n",
    "        mon_corr[case] = corr\n",
    "        mon_rmse[case] = rmse\n",
    "\n",
    "        gauge_shp1[case][f\"bias_{meta['grid']}\"] = bias\n",
    "        gauge_shp1[case][f\"corr_{meta['grid']}\"] = corr\n",
    "        gauge_shp1[case][f\"rmse_{meta['grid']}\"] = rmse"
   ]
  },
  {
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   "source": [
    "### 5.2. Spatial metric map "
   ]
  },
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    "slideshow": {
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    "tags": [
     "hide-input"
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    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 622 μs, sys: 0 ns, total: 622 μs\n",
      "Wall time: 430 μs\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "if obs_available:\n",
    "    # some local plot setups\n",
    "    cbar_kwrgs = {\n",
    "        \"bias\": {\n",
    "            \"shrink\": 0.9,\n",
    "            \"pad\": 0.02,\n",
    "            \"orientation\": \"horizontal\",\n",
    "            \"extend\": \"both\",\n",
    "        },\n",
    "        \"corr\": {\n",
    "            \"shrink\": 0.9,\n",
    "            \"pad\": 0.02,\n",
    "            \"orientation\": \"horizontal\",\n",
    "            \"extend\": \"min\",\n",
    "        },\n",
    "        \"rmse\": {\n",
    "            \"shrink\": 0.9,\n",
    "            \"pad\": 0.02,\n",
    "            \"orientation\": \"horizontal\",\n",
    "            \"extend\": \"max\",\n",
    "        },\n",
    "    }\n",
    "\n",
    "    meta = {\n",
    "        \"bias\": {\n",
    "            \"name\": \"%bias\",\n",
    "            \"vmin\": -100,\n",
    "            \"vmax\": 100,\n",
    "            \"cm\": colors.cmap_RedGrayBlue,\n",
    "        },\n",
    "        \"corr\": {\"name\": \"correlation\", \"vmin\": 0.2, \"vmax\": 1, \"cm\": colors.cmap_corr},\n",
    "        \"rmse\": {\"name\": \"RMSE\", \"vmin\": 0, \"vmax\": 1000, \"cm\": mpl.cm.turbo},\n",
    "    }\n",
    "\n",
    "    for error_metric in [\"rmse\", \"bias\", \"corr\"]:\n",
    "        for case, meta in case_dic.items():\n",
    "            fig, ax = plt.subplots(\n",
    "                1, figsize=(7.5, 4.0), subplot_kw={\"projection\": ccrs.PlateCarree()}\n",
    "            )\n",
    "\n",
    "            ax.add_feature(\n",
    "                rivers_50m, facecolor=\"None\", edgecolor=\"b\", lw=0.5, alpha=0.3\n",
    "            )\n",
    "            ax.add_feature(land, facecolor=\"white\", edgecolor=\"grey\")\n",
    "\n",
    "            gauge_shp1[case].plot(\n",
    "                ax=ax,\n",
    "                column=f\"{error_metric}_{meta['grid']}\",\n",
    "                markersize=10,\n",
    "                cmap=meta[error_metric][\"cm\"],\n",
    "                vmin=meta[error_metric][\"vmin\"],\n",
    "                vmax=meta[error_metric][\"vmax\"],\n",
    "            )\n",
    "\n",
    "            ax.set_title(\"%s %s\" % (case, meta[error_metric][\"name\"]))\n",
    "\n",
    "            points = ax.collections[-1]\n",
    "            plt.colorbar(points, ax=ax, **cbar_kwrgs[error_metric])\n",
    "\n",
    "            plt.tight_layout()\n",
    "\n",
    "            if figureSave:\n",
    "                plt.savefig(f\"./NB1_Fig6_{error_metric}_{case}_map.png\", dpi=200)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "31074359",
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   },
   "source": [
    "### 5.4 Boxplots of Error metrics (RMSE, %bias, and correlation coefficient)\n",
    "Boxplot distribution is based on metrics sampled at 922 sites.\n",
    "\n",
    "The box extends from the Q1 to Q3 quartile values of the data, with a line at the median (Q2). \n",
    "The whiskers extend from the edges of box to show the range of the data. \n",
    "By default, they extend no more than 1.5 * IQR (IQR = Q3 - Q1) from the edges of the box, ending at the farthest data point within that interval. \n",
    "Outliers are plotted as separate dots."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "86e0bce8",
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   "source": [
    "if obs_available:\n",
    "    boxprops = {\"linestyle\": \"-\", \"linewidth\": 1.5, \"color\": \"blue\"}\n",
    "    medianprops = {\"linestyle\": \"-\", \"linewidth\": 1.5, \"color\": \"red\"}\n",
    "\n",
    "    for error_metric in [\"rmse\", \"bias\", \"corr\"]:\n",
    "        column_stat = []\n",
    "        gauge_shp_all_case = gauge_shp.copy(deep=True)\n",
    "        for case, meta in case_dic.items():\n",
    "            gauge_shp_all_case = gauge_shp_all_case.merge(\n",
    "                gauge_shp1[case][[\"id\", f\"{error_metric}_{meta['grid']}\"]],\n",
    "                left_on=\"id\",\n",
    "                right_on=\"id\",\n",
    "            )\n",
    "            column_stat.append(f\"{error_metric}_{meta['grid']}\")\n",
    "        fig, ax = plt.subplots(1, figsize=(6.5, 4))\n",
    "        gauge_shp_all_case.boxplot(\n",
    "            ax=ax,\n",
    "            column=column_stat,\n",
    "            boxprops=boxprops,\n",
    "            medianprops=medianprops,\n",
    "            sym=\".\",\n",
    "        )\n",
    "\n",
    "        xticklabels = [label[len(error_metric) + 1 :] for label in column_stat]\n",
    "        ax.set_xticklabels(xticklabels)\n",
    "\n",
    "        if error_metric == \"rmse\":\n",
    "            ax.set_ylim([0, 1000])\n",
    "            ax.set_title(\"RMSE [m3/s]\")\n",
    "        elif error_metric == \"bias\":\n",
    "            ax.set_ylim([-150, 250])\n",
    "            ax.set_title(\"%bias [%]\")\n",
    "        elif error_metric == \"corr\":\n",
    "            ax.set_ylim([-0.2, 1])\n",
    "            ax.set_title(\"correlation\")\n",
    "\n",
    "        if figureSave:\n",
    "            plt.savefig(f\"./NB1_Fig7_{error_metric}_boxplot.png\", dpi=150)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "90c55d65",
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   "source": [
    "if client:\n",
    "    client.shutdown()"
   ]
  }
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