{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "2adf83f4-2942-4bc4-a490-1bd1c59fbfc6",
   "metadata": {},
   "source": [
    "# Assess termporal irrevesibility\n",
    "- by changing the \"temp. lapse rate\" and the \"prcp. factor ...\n",
    "--> actually less straightforward then I expected ..."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "f35d8a95-076e-4728-a385-166ba77817af",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2025-04-09 10:48:31: oggm.cfg: Reading default parameters from the OGGM `params.cfg` configuration file.\n",
      "2025-04-09 10:48:31: oggm.cfg: Multiprocessing switched OFF according to the parameter file.\n",
      "2025-04-09 10:48:31: oggm.cfg: Multiprocessing: using all available processors (N=32)\n"
     ]
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "sns.set_context('notebook') \n",
    "import xarray as xr\n",
    "import salem\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import geopandas as gpd\n",
    "import json\n",
    "\n",
    "import oggm.cfg\n",
    "from oggm import utils, workflow, tasks, graphics\n",
    "from oggm.sandbox.edu import run_constant_climate_with_bias\n",
    "# OGGM options\n",
    "oggm.cfg.initialize(logging_level='WARNING')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "017cada0-9efd-4906-a256-557328ab3fe2",
   "metadata": {},
   "outputs": [],
   "source": [
    "plt.rcParams[\"pdf.use14corefonts\"] = False  # don't convert text to path\n",
    "plt.rcParams['pdf.fonttype']=42 # do nout line text?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "e4ea3400-beeb-4689-81fd-5acd6c1ee14a",
   "metadata": {},
   "outputs": [],
   "source": [
    "frgi = utils.file_downloader('https://cluster.klima.uni-bremen.de/~oggm/rgi/rgi62_stats.h5')\n",
    "odf = pd.read_hdf(frgi, index_col=0)\n",
    "# We pick the same preprocessed gdirs as we will use for the actual projections later\n",
    "base_url = 'https://cluster.klima.uni-bremen.de/~oggm/gdirs/oggm_v1.6/L3-L5_files/2023.3/elev_bands/W5E5_spinup'\n",
    "\n",
    "# utils.gettempdir(dirname='WaterResources')\n",
    "oggm.cfg.PARAMS['min_ice_thick_for_length'] = 1  # a glacier is defined when ice is thicker than 1m\n",
    "oggm.cfg.PARAMS['store_model_geometry'] = True\n",
    "run = True\n",
    "run_spinup = True\n",
    "# this loads a bit faster the figures... as we use the preprocessed files (specifically if later run_spinup is set to False)\n",
    "# (if you run for the first time, you have to set run=True and run_spinup to True and then create your own directory ...)\n",
    "folder_path = 'data_idealised_exps_preprocessing'\n",
    "oggm.utils.mkdir(folder_path)\n",
    "oggm.cfg.PATHS['working_dir'] = f'{folder_path}/oggm_dir_idealised'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "2ad5c20d-d57d-465d-8f48-a4770bcb7253",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['RGI60-11.01450', 'RGI60-04.06187']\n"
     ]
    }
   ],
   "source": [
    "rgi_ids = []\n",
    "# chosen largest glaciers for Fig. 1 and suppl. idealised figures:\n",
    "for rreg in ['11',#'13',#'16','01',\n",
    "             #'03',\n",
    "             '04']:\n",
    "    _r_id = odf.loc[odf.O1Region==rreg].sort_values(by='Area', ascending=False).index[0]\n",
    "    rgi_ids.append(_r_id)\n",
    "print(rgi_ids)\n",
    "### other potential largest glaciers of regions:\n",
    "# RGI60-17.05181"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "91ee137f-aa81-4e67-b09d-40820c604a7d",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2025-04-09 10:59:58: oggm.workflow: Execute entity tasks [GlacierDirectory] on 2 glaciers\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "RGI60-11.01450 \n",
      "RGI60-04.06187 Barnes Ice Cap South Dome N Slope\n"
     ]
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1200x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "gdirs= workflow.init_glacier_directories(rgi_ids)\n",
    "\n",
    "for gdir in gdirs:\n",
    "    fls = gdir.read_pickle('model_flowlines')\n",
    "    graphics.plot_modeloutput_section(fls);\n",
    "    print(gdir.rgi_id,gdir.name)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d6d5e2a0-7ce7-4579-b6c5-e770a5921e2d",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "e5f8e6a4-cb8e-41df-83d0-64ee17f18047",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2025-04-09 15:33:02: oggm.cfg: PARAMS['temp_default_gradient'] changed from `-0.0055` to `-0.0065`.\n"
     ]
    }
   ],
   "source": [
    "oggm.cfg.PARAMS['temp_default_gradient'] = -0.0065"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "a6a91d24-ca81-4747-baf7-c7bc411d9e69",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "\u001b[0;31mSignature:\u001b[0m\n",
       "\u001b[0mtasks\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mrun_with_hydro\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0mgdir\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0mrun_task\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0mstore_monthly_hydro\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mFalse\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0mfixed_geometry_spinup_yr\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0mref_area_from_y0\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mFalse\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0mref_area_yr\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0mref_geometry_filesuffix\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m    \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\n",
       "\u001b[0;34m\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
       "\u001b[0;31mDocstring:\u001b[0m\n",
       "Run the flowline model and add hydro diagnostics.\n",
       "\n",
       "TODOs:\n",
       "    - Add the possibility to record MB during run to improve performance\n",
       "      (requires change in API)\n",
       "    - ...\n",
       "\n",
       "Parameters\n",
       "----------\n",
       "run_task : func\n",
       "    any of the `run_*`` tasks in the oggm.flowline module.\n",
       "    The mass balance model used needs to have the `add_climate` output\n",
       "    kwarg available though.\n",
       "store_monthly_hydro : bool\n",
       "    also compute monthly hydrological diagnostics. The monthly outputs\n",
       "    are stored in 2D fields (years, months)\n",
       "ref_area_yr : int\n",
       "    the hydrological output is computed over a reference area, which\n",
       "    per default is the largest area covered by the glacier in the simulation\n",
       "    period. Use this kwarg to force a specific area to the state of the\n",
       "    glacier at the provided simulation year.\n",
       "ref_area_from_y0 : bool\n",
       "    overwrite ref_area_yr to the first year of the timeseries\n",
       "ref_geometry_filesuffix : str\n",
       "    this kwarg allows to copy the reference area from a previous simulation\n",
       "    (useful for projections with historical spinup for example).\n",
       "    Set to a model_geometry file filesuffix that is present in the\n",
       "    current directory (e.g. `_historical` for pre-processed gdirs).\n",
       "    If set, ref_area_yr and ref_area_from_y0 refer to this file instead.\n",
       "fixed_geometry_spinup_yr : int\n",
       "    if set to an integer, the model will artificially prolongate\n",
       "    all outputs of run_until_and_store to encompass all time stamps\n",
       "    starting from the chosen year. The only output affected are the\n",
       "    glacier wide diagnostic files - all other outputs are set\n",
       "    to constants during \"spinup\"\n",
       "**kwargs : all valid kwargs for ``run_task``\n",
       "\n",
       "Notes\n",
       "-----\n",
       "Files written to the glacier directory:\n",
       "\u001b[0;31mFile:\u001b[0m      ~/.local/lib/python3.10/site-packages/oggm/core/flowline.py\n",
       "\u001b[0;31mType:\u001b[0m      function"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "tasks.run_with_hydro?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "15277e6a-40b0-4bd8-b540-001e6988f32e",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2025-04-09 11:00:14: oggm.cfg: PARAMS['temp_default_gradient'] changed from `-0.0075` to `-0.0055`.\n",
      "2025-04-09 11:00:14: oggm.sandbox.edu: InvalidWorkflowError occurred during task run_constant_climate_with_bias_spinup_-0.0055 on RGI60-11.01450: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:14: oggm.core.flowline: InvalidWorkflowError occurred during task run_with_hydro_spinup_-0.0055 on RGI60-11.01450: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:14: oggm.sandbox.edu: InvalidWorkflowError occurred during task run_constant_climate_with_bias_spinup_-0.0055 on RGI60-11.01450: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:14: oggm.core.flowline: InvalidWorkflowError occurred during task run_with_hydro_spinup_-0.0055 on RGI60-11.01450: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:14: oggm.sandbox.edu: InvalidWorkflowError occurred during task run_constant_climate_with_bias_spinup_-0.0055 on RGI60-11.01450: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:14: oggm.core.flowline: InvalidWorkflowError occurred during task run_with_hydro_spinup_-0.0055 on RGI60-11.01450: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:14: oggm.sandbox.edu: InvalidWorkflowError occurred during task run_constant_climate_with_bias_spinup_-0.0055 on RGI60-11.01450: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:14: oggm.core.flowline: InvalidWorkflowError occurred during task run_with_hydro_spinup_-0.0055 on RGI60-11.01450: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:14: oggm.sandbox.edu: InvalidWorkflowError occurred during task run_constant_climate_with_bias_spinup_-0.0055 on RGI60-11.01450: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:14: oggm.core.flowline: InvalidWorkflowError occurred during task run_with_hydro_spinup_-0.0055 on RGI60-11.01450: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:14: oggm.sandbox.edu: InvalidWorkflowError occurred during task run_constant_climate_with_bias_spinup_-0.0055 on RGI60-11.01450: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:14: oggm.core.flowline: InvalidWorkflowError occurred during task run_with_hydro_spinup_-0.0055 on RGI60-11.01450: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:14: oggm.sandbox.edu: InvalidWorkflowError occurred during task run_constant_climate_with_bias_spinup_-0.0055 on RGI60-11.01450: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:14: oggm.core.flowline: InvalidWorkflowError occurred during task run_with_hydro_spinup_-0.0055 on RGI60-11.01450: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:14: oggm.sandbox.edu: InvalidWorkflowError occurred during task run_constant_climate_with_bias_spinup_-0.0055 on RGI60-11.01450: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:14: oggm.core.flowline: InvalidWorkflowError occurred during task run_with_hydro_spinup_-0.0055 on RGI60-11.01450: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:14: oggm.sandbox.edu: InvalidWorkflowError occurred during task run_constant_climate_with_bias_spinup_-0.0055 on RGI60-11.01450: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:14: oggm.core.flowline: InvalidWorkflowError occurred during task run_with_hydro_spinup_-0.0055 on RGI60-11.01450: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:14: oggm.sandbox.edu: InvalidWorkflowError occurred during task run_constant_climate_with_bias_spinup_-0.0055 on RGI60-11.01450: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:14: oggm.core.flowline: InvalidWorkflowError occurred during task run_with_hydro_spinup_-0.0055 on RGI60-11.01450: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:14: oggm.sandbox.edu: InvalidWorkflowError occurred during task run_constant_climate_with_bias_spinup_-0.0055 on RGI60-11.01450: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:14: oggm.core.flowline: InvalidWorkflowError occurred during task run_with_hydro_spinup_-0.0055 on RGI60-11.01450: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:14: oggm.sandbox.edu: InvalidWorkflowError occurred during task run_constant_climate_with_bias_spinup_-0.0055 on RGI60-11.01450: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:14: oggm.core.flowline: InvalidWorkflowError occurred during task run_with_hydro_spinup_-0.0055 on RGI60-11.01450: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:14: oggm.sandbox.edu: InvalidWorkflowError occurred during task run_constant_climate_with_bias_spinup_-0.0055 on RGI60-11.01450: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:14: oggm.core.flowline: InvalidWorkflowError occurred during task run_with_hydro_spinup_-0.0055 on RGI60-11.01450: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:14: oggm.sandbox.edu: InvalidWorkflowError occurred during task run_constant_climate_with_bias_spinup_-0.0055 on RGI60-11.01450: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:14: oggm.core.flowline: InvalidWorkflowError occurred during task run_with_hydro_spinup_-0.0055 on RGI60-11.01450: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:14: oggm.sandbox.edu: InvalidWorkflowError occurred during task run_constant_climate_with_bias_spinup_-0.0055 on RGI60-11.01450: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:14: oggm.core.flowline: InvalidWorkflowError occurred during task run_with_hydro_spinup_-0.0055 on RGI60-11.01450: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:14: oggm.sandbox.edu: InvalidWorkflowError occurred during task run_constant_climate_with_bias_spinup_-0.0055 on RGI60-11.01450: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:14: oggm.core.flowline: InvalidWorkflowError occurred during task run_with_hydro_spinup_-0.0055 on RGI60-11.01450: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:14: oggm.sandbox.edu: InvalidWorkflowError occurred during task run_constant_climate_with_bias_spinup_-0.0055 on RGI60-11.01450: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:14: oggm.core.flowline: InvalidWorkflowError occurred during task run_with_hydro_spinup_-0.0055 on RGI60-11.01450: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:14: oggm.sandbox.edu: InvalidWorkflowError occurred during task run_constant_climate_with_bias_spinup_-0.0055 on RGI60-11.01450: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:14: oggm.core.flowline: InvalidWorkflowError occurred during task run_with_hydro_spinup_-0.0055 on RGI60-11.01450: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:14: oggm.sandbox.edu: InvalidWorkflowError occurred during task run_constant_climate_with_bias_spinup_-0.0055 on RGI60-11.01450: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:14: oggm.core.flowline: InvalidWorkflowError occurred during task run_with_hydro_spinup_-0.0055 on RGI60-11.01450: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:14: oggm.sandbox.edu: InvalidWorkflowError occurred during task run_constant_climate_with_bias_spinup_-0.0055 on RGI60-11.01450: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:14: oggm.core.flowline: InvalidWorkflowError occurred during task run_with_hydro_spinup_-0.0055 on RGI60-11.01450: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:14: oggm.sandbox.edu: InvalidWorkflowError occurred during task run_constant_climate_with_bias_spinup_-0.0055 on RGI60-11.01450: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:14: oggm.core.flowline: InvalidWorkflowError occurred during task run_with_hydro_spinup_-0.0055 on RGI60-11.01450: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:14: oggm.sandbox.edu: InvalidWorkflowError occurred during task run_constant_climate_with_bias_spinup_-0.0055 on RGI60-11.01450: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:14: oggm.core.flowline: InvalidWorkflowError occurred during task run_with_hydro_spinup_-0.0055 on RGI60-11.01450: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:14: oggm.sandbox.edu: InvalidWorkflowError occurred during task run_constant_climate_with_bias_spinup_-0.0055 on RGI60-11.01450: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:14: oggm.core.flowline: InvalidWorkflowError occurred during task run_with_hydro_spinup_-0.0055 on RGI60-11.01450: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:14: oggm.sandbox.edu: InvalidWorkflowError occurred during task run_constant_climate_with_bias_spinup_-0.0055 on RGI60-11.01450: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:14: oggm.core.flowline: InvalidWorkflowError occurred during task run_with_hydro_spinup_-0.0055 on RGI60-11.01450: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:14: oggm.sandbox.edu: InvalidWorkflowError occurred during task run_constant_climate_with_bias_spinup_-0.0055 on RGI60-11.01450: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:14: oggm.core.flowline: InvalidWorkflowError occurred during task run_with_hydro_spinup_-0.0055 on RGI60-11.01450: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:14: oggm.sandbox.edu: InvalidWorkflowError occurred during task run_constant_climate_with_bias_spinup_-0.0055 on RGI60-11.01450: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:14: oggm.core.flowline: InvalidWorkflowError occurred during task run_with_hydro_spinup_-0.0055 on RGI60-11.01450: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:14: oggm.sandbox.edu: InvalidWorkflowError occurred during task run_constant_climate_with_bias_spinup_-0.0055 on RGI60-11.01450: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:14: oggm.core.flowline: InvalidWorkflowError occurred during task run_with_hydro_spinup_-0.0055 on RGI60-11.01450: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:14: oggm.sandbox.edu: InvalidWorkflowError occurred during task run_constant_climate_with_bias_spinup_-0.0055 on RGI60-11.01450: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:14: oggm.core.flowline: InvalidWorkflowError occurred during task run_with_hydro_spinup_-0.0055 on RGI60-11.01450: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:14: oggm.sandbox.edu: InvalidWorkflowError occurred during task run_constant_climate_with_bias_spinup_-0.0055 on RGI60-11.01450: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:14: oggm.core.flowline: InvalidWorkflowError occurred during task run_with_hydro_spinup_-0.0055 on RGI60-11.01450: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:14: oggm.sandbox.edu: InvalidWorkflowError occurred during task run_constant_climate_with_bias_spinup_-0.0055 on RGI60-11.01450: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:14: oggm.core.flowline: InvalidWorkflowError occurred during task run_with_hydro_spinup_-0.0055 on RGI60-11.01450: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:14: oggm.sandbox.edu: InvalidWorkflowError occurred during task run_constant_climate_with_bias_spinup_-0.0055 on RGI60-11.01450: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:14: oggm.core.flowline: InvalidWorkflowError occurred during task run_with_hydro_spinup_-0.0055 on RGI60-11.01450: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:14: oggm.sandbox.edu: InvalidWorkflowError occurred during task run_constant_climate_with_bias_spinup_-0.0055 on RGI60-11.01450: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:14: oggm.core.flowline: InvalidWorkflowError occurred during task run_with_hydro_spinup_-0.0055 on RGI60-11.01450: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:14: oggm.sandbox.edu: InvalidWorkflowError occurred during task run_constant_climate_with_bias_spinup_-0.0055 on RGI60-11.01450: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:14: oggm.core.flowline: InvalidWorkflowError occurred during task run_with_hydro_spinup_-0.0055 on RGI60-11.01450: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:14: oggm.sandbox.edu: InvalidWorkflowError occurred during task run_constant_climate_with_bias_spinup_-0.0055 on RGI60-11.01450: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:14: oggm.core.flowline: InvalidWorkflowError occurred during task run_with_hydro_spinup_-0.0055 on RGI60-11.01450: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:14: oggm.sandbox.edu: InvalidWorkflowError occurred during task run_constant_climate_with_bias_spinup_-0.0055 on RGI60-11.01450: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:14: oggm.core.flowline: InvalidWorkflowError occurred during task run_with_hydro_spinup_-0.0055 on RGI60-11.01450: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:14: oggm.sandbox.edu: InvalidWorkflowError occurred during task run_constant_climate_with_bias_spinup_-0.0055 on RGI60-11.01450: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:14: oggm.core.flowline: InvalidWorkflowError occurred during task run_with_hydro_spinup_-0.0055 on RGI60-11.01450: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:14: oggm.sandbox.edu: InvalidWorkflowError occurred during task run_constant_climate_with_bias_spinup_-0.0055 on RGI60-11.01450: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:14: oggm.core.flowline: InvalidWorkflowError occurred during task run_with_hydro_spinup_-0.0055 on RGI60-11.01450: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:14: oggm.sandbox.edu: InvalidWorkflowError occurred during task run_constant_climate_with_bias_spinup_-0.0055 on RGI60-11.01450: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:14: oggm.core.flowline: InvalidWorkflowError occurred during task run_with_hydro_spinup_-0.0055 on RGI60-11.01450: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:14: oggm.sandbox.edu: InvalidWorkflowError occurred during task run_constant_climate_with_bias_spinup_-0.0055 on RGI60-11.01450: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:14: oggm.core.flowline: InvalidWorkflowError occurred during task run_with_hydro_spinup_-0.0055 on RGI60-11.01450: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:14: oggm.sandbox.edu: InvalidWorkflowError occurred during task run_constant_climate_with_bias_spinup_-0.0055 on RGI60-11.01450: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:14: oggm.core.flowline: InvalidWorkflowError occurred during task run_with_hydro_spinup_-0.0055 on RGI60-11.01450: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:14: oggm.sandbox.edu: InvalidWorkflowError occurred during task run_constant_climate_with_bias_spinup_-0.0055 on RGI60-11.01450: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:14: oggm.core.flowline: InvalidWorkflowError occurred during task run_with_hydro_spinup_-0.0055 on RGI60-11.01450: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:14: oggm.sandbox.edu: InvalidWorkflowError occurred during task run_constant_climate_with_bias_spinup_-0.0055 on RGI60-11.01450: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:14: oggm.core.flowline: InvalidWorkflowError occurred during task run_with_hydro_spinup_-0.0055 on RGI60-11.01450: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:15: oggm.sandbox.edu: InvalidWorkflowError occurred during task run_constant_climate_with_bias_spinup_-0.0055 on RGI60-11.01450: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:15: oggm.core.flowline: InvalidWorkflowError occurred during task run_with_hydro_spinup_-0.0055 on RGI60-11.01450: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:15: oggm.sandbox.edu: InvalidWorkflowError occurred during task run_constant_climate_with_bias_spinup_-0.0055 on RGI60-11.01450: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:15: oggm.core.flowline: InvalidWorkflowError occurred during task run_with_hydro_spinup_-0.0055 on RGI60-11.01450: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:15: oggm.sandbox.edu: InvalidWorkflowError occurred during task run_constant_climate_with_bias_spinup_-0.0055 on RGI60-11.01450: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "RGI60-11.01450\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2025-04-09 11:00:15: oggm.core.flowline: InvalidWorkflowError occurred during task run_with_hydro_spinup_-0.0055 on RGI60-11.01450: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:15: oggm.sandbox.edu: InvalidWorkflowError occurred during task run_constant_climate_with_bias_spinup_-0.0055 on RGI60-11.01450: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:15: oggm.core.flowline: InvalidWorkflowError occurred during task run_with_hydro_spinup_-0.0055 on RGI60-11.01450: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:15: oggm.sandbox.edu: InvalidWorkflowError occurred during task run_constant_climate_with_bias_spinup_-0.0055 on RGI60-11.01450: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:15: oggm.core.flowline: InvalidWorkflowError occurred during task run_with_hydro_spinup_-0.0055 on RGI60-11.01450: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:15: oggm.sandbox.edu: InvalidWorkflowError occurred during task run_constant_climate_with_bias_spinup_-0.0055 on RGI60-11.01450: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:15: oggm.core.flowline: InvalidWorkflowError occurred during task run_with_hydro_spinup_-0.0055 on RGI60-11.01450: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:15: oggm.sandbox.edu: InvalidWorkflowError occurred during task run_constant_climate_with_bias_spinup_-0.0055 on RGI60-11.01450: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:15: oggm.core.flowline: InvalidWorkflowError occurred during task run_with_hydro_spinup_-0.0055 on RGI60-11.01450: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:15: oggm.sandbox.edu: InvalidWorkflowError occurred during task run_constant_climate_with_bias_spinup_-0.0055 on RGI60-11.01450: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:15: oggm.core.flowline: InvalidWorkflowError occurred during task run_with_hydro_spinup_-0.0055 on RGI60-11.01450: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:15: oggm.sandbox.edu: InvalidWorkflowError occurred during task run_constant_climate_with_bias_spinup_-0.0055 on RGI60-11.01450: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:15: oggm.core.flowline: InvalidWorkflowError occurred during task run_with_hydro_spinup_-0.0055 on RGI60-11.01450: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:15: oggm.sandbox.edu: InvalidWorkflowError occurred during task run_constant_climate_with_bias_spinup_-0.0055 on RGI60-11.01450: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:15: oggm.core.flowline: InvalidWorkflowError occurred during task run_with_hydro_spinup_-0.0055 on RGI60-11.01450: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:15: oggm.sandbox.edu: InvalidWorkflowError occurred during task run_constant_climate_with_bias_spinup_-0.0055 on RGI60-11.01450: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:15: oggm.core.flowline: InvalidWorkflowError occurred during task run_with_hydro_spinup_-0.0055 on RGI60-11.01450: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:15: oggm.sandbox.edu: InvalidWorkflowError occurred during task run_constant_climate_with_bias_spinup_-0.0055 on RGI60-11.01450: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:15: oggm.core.flowline: InvalidWorkflowError occurred during task run_with_hydro_spinup_-0.0055 on RGI60-11.01450: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:15: oggm.sandbox.edu: InvalidWorkflowError occurred during task run_constant_climate_with_bias_spinup_-0.0055 on RGI60-04.06187: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:15: oggm.core.flowline: InvalidWorkflowError occurred during task run_with_hydro_spinup_-0.0055 on RGI60-04.06187: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:15: oggm.sandbox.edu: InvalidWorkflowError occurred during task run_constant_climate_with_bias_spinup_-0.0055 on RGI60-04.06187: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:15: oggm.core.flowline: InvalidWorkflowError occurred during task run_with_hydro_spinup_-0.0055 on RGI60-04.06187: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:15: oggm.sandbox.edu: InvalidWorkflowError occurred during task run_constant_climate_with_bias_spinup_-0.0055 on RGI60-04.06187: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:15: oggm.core.flowline: InvalidWorkflowError occurred during task run_with_hydro_spinup_-0.0055 on RGI60-04.06187: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:15: oggm.sandbox.edu: InvalidWorkflowError occurred during task run_constant_climate_with_bias_spinup_-0.0055 on RGI60-04.06187: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:15: oggm.core.flowline: InvalidWorkflowError occurred during task run_with_hydro_spinup_-0.0055 on RGI60-04.06187: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:15: oggm.sandbox.edu: InvalidWorkflowError occurred during task run_constant_climate_with_bias_spinup_-0.0055 on RGI60-04.06187: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:15: oggm.core.flowline: InvalidWorkflowError occurred during task run_with_hydro_spinup_-0.0055 on RGI60-04.06187: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:15: oggm.sandbox.edu: InvalidWorkflowError occurred during task run_constant_climate_with_bias_spinup_-0.0055 on RGI60-04.06187: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:15: oggm.core.flowline: InvalidWorkflowError occurred during task run_with_hydro_spinup_-0.0055 on RGI60-04.06187: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:15: oggm.sandbox.edu: InvalidWorkflowError occurred during task run_constant_climate_with_bias_spinup_-0.0055 on RGI60-04.06187: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:15: oggm.core.flowline: InvalidWorkflowError occurred during task run_with_hydro_spinup_-0.0055 on RGI60-04.06187: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:15: oggm.sandbox.edu: InvalidWorkflowError occurred during task run_constant_climate_with_bias_spinup_-0.0055 on RGI60-04.06187: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:15: oggm.core.flowline: InvalidWorkflowError occurred during task run_with_hydro_spinup_-0.0055 on RGI60-04.06187: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:15: oggm.sandbox.edu: InvalidWorkflowError occurred during task run_constant_climate_with_bias_spinup_-0.0055 on RGI60-04.06187: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:15: oggm.core.flowline: InvalidWorkflowError occurred during task run_with_hydro_spinup_-0.0055 on RGI60-04.06187: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:15: oggm.sandbox.edu: InvalidWorkflowError occurred during task run_constant_climate_with_bias_spinup_-0.0055 on RGI60-04.06187: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:15: oggm.core.flowline: InvalidWorkflowError occurred during task run_with_hydro_spinup_-0.0055 on RGI60-04.06187: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:15: oggm.sandbox.edu: InvalidWorkflowError occurred during task run_constant_climate_with_bias_spinup_-0.0055 on RGI60-04.06187: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:15: oggm.core.flowline: InvalidWorkflowError occurred during task run_with_hydro_spinup_-0.0055 on RGI60-04.06187: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:15: oggm.sandbox.edu: InvalidWorkflowError occurred during task run_constant_climate_with_bias_spinup_-0.0055 on RGI60-04.06187: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:15: oggm.core.flowline: InvalidWorkflowError occurred during task run_with_hydro_spinup_-0.0055 on RGI60-04.06187: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:15: oggm.sandbox.edu: InvalidWorkflowError occurred during task run_constant_climate_with_bias_spinup_-0.0055 on RGI60-04.06187: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:15: oggm.core.flowline: InvalidWorkflowError occurred during task run_with_hydro_spinup_-0.0055 on RGI60-04.06187: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:15: oggm.sandbox.edu: InvalidWorkflowError occurred during task run_constant_climate_with_bias_spinup_-0.0055 on RGI60-04.06187: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:15: oggm.core.flowline: InvalidWorkflowError occurred during task run_with_hydro_spinup_-0.0055 on RGI60-04.06187: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:15: oggm.sandbox.edu: InvalidWorkflowError occurred during task run_constant_climate_with_bias_spinup_-0.0055 on RGI60-04.06187: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:15: oggm.core.flowline: InvalidWorkflowError occurred during task run_with_hydro_spinup_-0.0055 on RGI60-04.06187: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:15: oggm.sandbox.edu: InvalidWorkflowError occurred during task run_constant_climate_with_bias_spinup_-0.0055 on RGI60-04.06187: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:15: oggm.core.flowline: InvalidWorkflowError occurred during task run_with_hydro_spinup_-0.0055 on RGI60-04.06187: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:15: oggm.sandbox.edu: InvalidWorkflowError occurred during task run_constant_climate_with_bias_spinup_-0.0055 on RGI60-04.06187: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:15: oggm.core.flowline: InvalidWorkflowError occurred during task run_with_hydro_spinup_-0.0055 on RGI60-04.06187: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:15: oggm.sandbox.edu: InvalidWorkflowError occurred during task run_constant_climate_with_bias_spinup_-0.0055 on RGI60-04.06187: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:15: oggm.core.flowline: InvalidWorkflowError occurred during task run_with_hydro_spinup_-0.0055 on RGI60-04.06187: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:15: oggm.sandbox.edu: InvalidWorkflowError occurred during task run_constant_climate_with_bias_spinup_-0.0055 on RGI60-04.06187: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:15: oggm.core.flowline: InvalidWorkflowError occurred during task run_with_hydro_spinup_-0.0055 on RGI60-04.06187: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:15: oggm.sandbox.edu: InvalidWorkflowError occurred during task run_constant_climate_with_bias_spinup_-0.0055 on RGI60-04.06187: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:15: oggm.core.flowline: InvalidWorkflowError occurred during task run_with_hydro_spinup_-0.0055 on RGI60-04.06187: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:15: oggm.sandbox.edu: InvalidWorkflowError occurred during task run_constant_climate_with_bias_spinup_-0.0055 on RGI60-04.06187: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:15: oggm.core.flowline: InvalidWorkflowError occurred during task run_with_hydro_spinup_-0.0055 on RGI60-04.06187: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:15: oggm.sandbox.edu: InvalidWorkflowError occurred during task run_constant_climate_with_bias_spinup_-0.0055 on RGI60-04.06187: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:15: oggm.core.flowline: InvalidWorkflowError occurred during task run_with_hydro_spinup_-0.0055 on RGI60-04.06187: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:15: oggm.sandbox.edu: InvalidWorkflowError occurred during task run_constant_climate_with_bias_spinup_-0.0055 on RGI60-04.06187: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:15: oggm.core.flowline: InvalidWorkflowError occurred during task run_with_hydro_spinup_-0.0055 on RGI60-04.06187: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:15: oggm.sandbox.edu: InvalidWorkflowError occurred during task run_constant_climate_with_bias_spinup_-0.0055 on RGI60-04.06187: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:15: oggm.core.flowline: InvalidWorkflowError occurred during task run_with_hydro_spinup_-0.0055 on RGI60-04.06187: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:15: oggm.sandbox.edu: InvalidWorkflowError occurred during task run_constant_climate_with_bias_spinup_-0.0055 on RGI60-04.06187: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:15: oggm.core.flowline: InvalidWorkflowError occurred during task run_with_hydro_spinup_-0.0055 on RGI60-04.06187: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:15: oggm.sandbox.edu: InvalidWorkflowError occurred during task run_constant_climate_with_bias_spinup_-0.0055 on RGI60-04.06187: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:15: oggm.core.flowline: InvalidWorkflowError occurred during task run_with_hydro_spinup_-0.0055 on RGI60-04.06187: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:15: oggm.sandbox.edu: InvalidWorkflowError occurred during task run_constant_climate_with_bias_spinup_-0.0055 on RGI60-04.06187: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:15: oggm.core.flowline: InvalidWorkflowError occurred during task run_with_hydro_spinup_-0.0055 on RGI60-04.06187: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:15: oggm.sandbox.edu: InvalidWorkflowError occurred during task run_constant_climate_with_bias_spinup_-0.0055 on RGI60-04.06187: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:15: oggm.core.flowline: InvalidWorkflowError occurred during task run_with_hydro_spinup_-0.0055 on RGI60-04.06187: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:15: oggm.sandbox.edu: InvalidWorkflowError occurred during task run_constant_climate_with_bias_spinup_-0.0055 on RGI60-04.06187: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:15: oggm.core.flowline: InvalidWorkflowError occurred during task run_with_hydro_spinup_-0.0055 on RGI60-04.06187: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:15: oggm.sandbox.edu: InvalidWorkflowError occurred during task run_constant_climate_with_bias_spinup_-0.0055 on RGI60-04.06187: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:15: oggm.core.flowline: InvalidWorkflowError occurred during task run_with_hydro_spinup_-0.0055 on RGI60-04.06187: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:15: oggm.sandbox.edu: InvalidWorkflowError occurred during task run_constant_climate_with_bias_spinup_-0.0055 on RGI60-04.06187: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:15: oggm.core.flowline: InvalidWorkflowError occurred during task run_with_hydro_spinup_-0.0055 on RGI60-04.06187: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:15: oggm.sandbox.edu: InvalidWorkflowError occurred during task run_constant_climate_with_bias_spinup_-0.0055 on RGI60-04.06187: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:15: oggm.core.flowline: InvalidWorkflowError occurred during task run_with_hydro_spinup_-0.0055 on RGI60-04.06187: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:15: oggm.sandbox.edu: InvalidWorkflowError occurred during task run_constant_climate_with_bias_spinup_-0.0055 on RGI60-04.06187: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:15: oggm.core.flowline: InvalidWorkflowError occurred during task run_with_hydro_spinup_-0.0055 on RGI60-04.06187: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:15: oggm.sandbox.edu: InvalidWorkflowError occurred during task run_constant_climate_with_bias_spinup_-0.0055 on RGI60-04.06187: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:15: oggm.core.flowline: InvalidWorkflowError occurred during task run_with_hydro_spinup_-0.0055 on RGI60-04.06187: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:15: oggm.sandbox.edu: InvalidWorkflowError occurred during task run_constant_climate_with_bias_spinup_-0.0055 on RGI60-04.06187: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:15: oggm.core.flowline: InvalidWorkflowError occurred during task run_with_hydro_spinup_-0.0055 on RGI60-04.06187: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:15: oggm.sandbox.edu: InvalidWorkflowError occurred during task run_constant_climate_with_bias_spinup_-0.0055 on RGI60-04.06187: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:15: oggm.core.flowline: InvalidWorkflowError occurred during task run_with_hydro_spinup_-0.0055 on RGI60-04.06187: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:15: oggm.sandbox.edu: InvalidWorkflowError occurred during task run_constant_climate_with_bias_spinup_-0.0055 on RGI60-04.06187: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:15: oggm.core.flowline: InvalidWorkflowError occurred during task run_with_hydro_spinup_-0.0055 on RGI60-04.06187: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:15: oggm.sandbox.edu: InvalidWorkflowError occurred during task run_constant_climate_with_bias_spinup_-0.0055 on RGI60-04.06187: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:15: oggm.core.flowline: InvalidWorkflowError occurred during task run_with_hydro_spinup_-0.0055 on RGI60-04.06187: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:15: oggm.sandbox.edu: InvalidWorkflowError occurred during task run_constant_climate_with_bias_spinup_-0.0055 on RGI60-04.06187: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:15: oggm.core.flowline: InvalidWorkflowError occurred during task run_with_hydro_spinup_-0.0055 on RGI60-04.06187: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:15: oggm.sandbox.edu: InvalidWorkflowError occurred during task run_constant_climate_with_bias_spinup_-0.0055 on RGI60-04.06187: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:15: oggm.core.flowline: InvalidWorkflowError occurred during task run_with_hydro_spinup_-0.0055 on RGI60-04.06187: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:15: oggm.sandbox.edu: InvalidWorkflowError occurred during task run_constant_climate_with_bias_spinup_-0.0055 on RGI60-04.06187: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:15: oggm.core.flowline: InvalidWorkflowError occurred during task run_with_hydro_spinup_-0.0055 on RGI60-04.06187: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:15: oggm.sandbox.edu: InvalidWorkflowError occurred during task run_constant_climate_with_bias_spinup_-0.0055 on RGI60-04.06187: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:15: oggm.core.flowline: InvalidWorkflowError occurred during task run_with_hydro_spinup_-0.0055 on RGI60-04.06187: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:15: oggm.sandbox.edu: InvalidWorkflowError occurred during task run_constant_climate_with_bias_spinup_-0.0055 on RGI60-04.06187: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:15: oggm.core.flowline: InvalidWorkflowError occurred during task run_with_hydro_spinup_-0.0055 on RGI60-04.06187: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:15: oggm.sandbox.edu: InvalidWorkflowError occurred during task run_constant_climate_with_bias_spinup_-0.0055 on RGI60-04.06187: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:15: oggm.core.flowline: InvalidWorkflowError occurred during task run_with_hydro_spinup_-0.0055 on RGI60-04.06187: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:15: oggm.sandbox.edu: InvalidWorkflowError occurred during task run_constant_climate_with_bias_spinup_-0.0055 on RGI60-04.06187: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:15: oggm.core.flowline: InvalidWorkflowError occurred during task run_with_hydro_spinup_-0.0055 on RGI60-04.06187: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "rel_diff_v1/v0    100000\n",
      "dtype: int64\n",
      "RGI60-04.06187\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2025-04-09 11:00:15: oggm.sandbox.edu: InvalidWorkflowError occurred during task run_constant_climate_with_bias_spinup_-0.0055 on RGI60-04.06187: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:15: oggm.core.flowline: InvalidWorkflowError occurred during task run_with_hydro_spinup_-0.0055 on RGI60-04.06187: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:15: oggm.sandbox.edu: InvalidWorkflowError occurred during task run_constant_climate_with_bias_spinup_-0.0055 on RGI60-04.06187: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:15: oggm.core.flowline: InvalidWorkflowError occurred during task run_with_hydro_spinup_-0.0055 on RGI60-04.06187: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:15: oggm.sandbox.edu: InvalidWorkflowError occurred during task run_constant_climate_with_bias_spinup_-0.0055 on RGI60-04.06187: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:15: oggm.core.flowline: InvalidWorkflowError occurred during task run_with_hydro_spinup_-0.0055 on RGI60-04.06187: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:15: oggm.sandbox.edu: InvalidWorkflowError occurred during task run_constant_climate_with_bias_spinup_-0.0055 on RGI60-04.06187: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:15: oggm.core.flowline: InvalidWorkflowError occurred during task run_with_hydro_spinup_-0.0055 on RGI60-04.06187: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:15: oggm.sandbox.edu: InvalidWorkflowError occurred during task run_constant_climate_with_bias_spinup_-0.0055 on RGI60-04.06187: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:15: oggm.core.flowline: InvalidWorkflowError occurred during task run_with_hydro_spinup_-0.0055 on RGI60-04.06187: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:15: oggm.sandbox.edu: InvalidWorkflowError occurred during task run_constant_climate_with_bias_spinup_-0.0055 on RGI60-04.06187: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:15: oggm.core.flowline: InvalidWorkflowError occurred during task run_with_hydro_spinup_-0.0055 on RGI60-04.06187: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:15: oggm.sandbox.edu: InvalidWorkflowError occurred during task run_constant_climate_with_bias_spinup_-0.0055 on RGI60-04.06187: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:15: oggm.core.flowline: InvalidWorkflowError occurred during task run_with_hydro_spinup_-0.0055 on RGI60-04.06187: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:15: oggm.sandbox.edu: InvalidWorkflowError occurred during task run_constant_climate_with_bias_spinup_-0.0055 on RGI60-04.06187: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:15: oggm.core.flowline: InvalidWorkflowError occurred during task run_with_hydro_spinup_-0.0055 on RGI60-04.06187: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:15: oggm.sandbox.edu: InvalidWorkflowError occurred during task run_constant_climate_with_bias_spinup_-0.0055 on RGI60-04.06187: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:15: oggm.core.flowline: InvalidWorkflowError occurred during task run_with_hydro_spinup_-0.0055 on RGI60-04.06187: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:15: oggm.sandbox.edu: InvalidWorkflowError occurred during task run_constant_climate_with_bias_spinup_-0.0055 on RGI60-11.01450: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n",
      "2025-04-09 11:00:15: oggm.core.flowline: InvalidWorkflowError occurred during task run_with_hydro_spinup_-0.0055 on RGI60-11.01450: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "rel_diff_v1/v0    100000\n",
      "dtype: int64\n",
      "RGI60-11.01450\n",
      "RGI60-11.01450 -  need temperature bias of -2.4°C to get into steady state with similarvolume as volume from inventory date\n"
     ]
    },
    {
     "ename": "InvalidWorkflowError",
     "evalue": "You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning.",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mInvalidWorkflowError\u001b[0m                      Traceback (most recent call last)",
      "Cell \u001b[0;32mIn[12], line 60\u001b[0m\n\u001b[1;32m     57\u001b[0m     file_id \u001b[38;5;241m=\u001b[39m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m_spinup\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mpert\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m'\u001b[39m\n\u001b[1;32m     59\u001b[0m     \u001b[38;5;66;03m# We are using the task run_with_hydro to store hydrological outputs along with the usual glaciological outputs\u001b[39;00m\n\u001b[0;32m---> 60\u001b[0m     \u001b[43mtasks\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mrun_with_hydro\u001b[49m\u001b[43m(\u001b[49m\u001b[43mgdir\u001b[49m\u001b[43m,\u001b[49m\u001b[43m  \u001b[49m\u001b[38;5;66;43;03m# Run on the selected glacier\u001b[39;49;00m\n\u001b[1;32m     61\u001b[0m \u001b[43m                         \u001b[49m\u001b[43mtemp_bias_ts\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mtemp_bias_ts\u001b[49m\u001b[43m,\u001b[49m\u001b[43m  \u001b[49m\u001b[38;5;66;43;03m# the temperature bias to apply to the average climate\u001b[39;49;00m\n\u001b[1;32m     62\u001b[0m \u001b[43m                         \u001b[49m\u001b[43mrun_task\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mrun_constant_climate_with_bias\u001b[49m\u001b[43m,\u001b[49m\u001b[43m  \u001b[49m\u001b[38;5;66;43;03m# which climate scenario? See following notebook for other examples\u001b[39;49;00m\n\u001b[1;32m     63\u001b[0m \u001b[43m                         \u001b[49m\u001b[43my0\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;241;43m2009\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mhalfsize\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;241;43m10\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m  \u001b[49m\u001b[38;5;66;43;03m# Period which we will average and constantly repeat\u001b[39;49;00m\n\u001b[1;32m     64\u001b[0m \u001b[43m                         \u001b[49m\u001b[43mstore_monthly_hydro\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mTrue\u001b[39;49;00m\u001b[43m,\u001b[49m\u001b[43m  \u001b[49m\u001b[38;5;66;43;03m# Monthly ouptuts provide additional information\u001b[39;49;00m\n\u001b[1;32m     65\u001b[0m \u001b[43m                         \u001b[49m\u001b[43moutput_filesuffix\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mfile_id\u001b[49m\u001b[43m)\u001b[49m;  \u001b[38;5;66;03m# an identifier for the output file, to read it later\u001b[39;00m\n\u001b[1;32m     66\u001b[0m \u001b[38;5;66;03m# save temperature bias for steady states of the glaciers in JSON string\u001b[39;00m\n\u001b[1;32m     67\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m \u001b[38;5;28mopen\u001b[39m(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mdata_idealised_exps_preprocessing/idealised_equilibrium_temp_bias_pert.json\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mw\u001b[39m\u001b[38;5;124m'\u001b[39m) \u001b[38;5;28;01mas\u001b[39;00m outfile:\n",
      "File \u001b[0;32m~/.local/lib/python3.10/site-packages/oggm/utils/_workflow.py:496\u001b[0m, in \u001b[0;36mentity_task.__call__.<locals>._entity_task\u001b[0;34m(gdir, reset, print_log, return_value, continue_on_error, add_to_log_file, **kwargs)\u001b[0m\n\u001b[1;32m    494\u001b[0m     signal\u001b[38;5;241m.\u001b[39malarm(cfg\u001b[38;5;241m.\u001b[39mPARAMS[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mtask_timeout\u001b[39m\u001b[38;5;124m'\u001b[39m])\n\u001b[1;32m    495\u001b[0m ex_t \u001b[38;5;241m=\u001b[39m time\u001b[38;5;241m.\u001b[39mtime()\n\u001b[0;32m--> 496\u001b[0m out \u001b[38;5;241m=\u001b[39m \u001b[43mtask_func\u001b[49m\u001b[43m(\u001b[49m\u001b[43mgdir\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    497\u001b[0m ex_t \u001b[38;5;241m=\u001b[39m time\u001b[38;5;241m.\u001b[39mtime() \u001b[38;5;241m-\u001b[39m ex_t\n\u001b[1;32m    498\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m cfg\u001b[38;5;241m.\u001b[39mPARAMS[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mtask_timeout\u001b[39m\u001b[38;5;124m'\u001b[39m] \u001b[38;5;241m>\u001b[39m \u001b[38;5;241m0\u001b[39m:\n",
      "File \u001b[0;32m~/.local/lib/python3.10/site-packages/oggm/core/flowline.py:3818\u001b[0m, in \u001b[0;36mrun_with_hydro\u001b[0;34m(gdir, run_task, store_monthly_hydro, fixed_geometry_spinup_yr, ref_area_from_y0, ref_area_yr, ref_geometry_filesuffix, **kwargs)\u001b[0m\n\u001b[1;32m   3815\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m fixed_geometry_spinup_yr \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m   3816\u001b[0m     kwargs[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mfixed_geometry_spinup_yr\u001b[39m\u001b[38;5;124m'\u001b[39m] \u001b[38;5;241m=\u001b[39m fixed_geometry_spinup_yr\n\u001b[0;32m-> 3818\u001b[0m out \u001b[38;5;241m=\u001b[39m \u001b[43mrun_task\u001b[49m\u001b[43m(\u001b[49m\u001b[43mgdir\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   3820\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m out \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m   3821\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m InvalidWorkflowError(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mThe run task (\u001b[39m\u001b[38;5;132;01m{}\u001b[39;00m\u001b[38;5;124m) did not run \u001b[39m\u001b[38;5;124m'\u001b[39m\n\u001b[1;32m   3822\u001b[0m                                \u001b[38;5;124m'\u001b[39m\u001b[38;5;124msuccessfully.\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;241m.\u001b[39mformat(run_task\u001b[38;5;241m.\u001b[39m\u001b[38;5;18m__name__\u001b[39m))\n",
      "File \u001b[0;32m~/.local/lib/python3.10/site-packages/oggm/utils/_workflow.py:496\u001b[0m, in \u001b[0;36mentity_task.__call__.<locals>._entity_task\u001b[0;34m(gdir, reset, print_log, return_value, continue_on_error, add_to_log_file, **kwargs)\u001b[0m\n\u001b[1;32m    494\u001b[0m     signal\u001b[38;5;241m.\u001b[39malarm(cfg\u001b[38;5;241m.\u001b[39mPARAMS[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mtask_timeout\u001b[39m\u001b[38;5;124m'\u001b[39m])\n\u001b[1;32m    495\u001b[0m ex_t \u001b[38;5;241m=\u001b[39m time\u001b[38;5;241m.\u001b[39mtime()\n\u001b[0;32m--> 496\u001b[0m out \u001b[38;5;241m=\u001b[39m \u001b[43mtask_func\u001b[49m\u001b[43m(\u001b[49m\u001b[43mgdir\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    497\u001b[0m ex_t \u001b[38;5;241m=\u001b[39m time\u001b[38;5;241m.\u001b[39mtime() \u001b[38;5;241m-\u001b[39m ex_t\n\u001b[1;32m    498\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m cfg\u001b[38;5;241m.\u001b[39mPARAMS[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mtask_timeout\u001b[39m\u001b[38;5;124m'\u001b[39m] \u001b[38;5;241m>\u001b[39m \u001b[38;5;241m0\u001b[39m:\n",
      "File \u001b[0;32m~/.local/lib/python3.10/site-packages/oggm/sandbox/edu.py:197\u001b[0m, in \u001b[0;36mrun_constant_climate_with_bias\u001b[0;34m(gdir, temp_bias_ts, prcp_fac_ts, ys, ye, y0, halfsize, climate_filename, climate_input_filesuffix, output_filesuffix, init_model_fls, init_model_filesuffix, init_model_yr, bias, **kwargs)\u001b[0m\n\u001b[1;32m    194\u001b[0m     init_model_fls \u001b[38;5;241m=\u001b[39m fmod\u001b[38;5;241m.\u001b[39mfls\n\u001b[1;32m    196\u001b[0m \u001b[38;5;66;03m# Final crop\u001b[39;00m\n\u001b[0;32m--> 197\u001b[0m mb \u001b[38;5;241m=\u001b[39m \u001b[43mBiasedConstantMassBalance\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m    198\u001b[0m \u001b[43m    \u001b[49m\u001b[43mgdir\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    199\u001b[0m \u001b[43m    \u001b[49m\u001b[43mtemp_bias_ts\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mtemp_bias_ts\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    200\u001b[0m \u001b[43m    \u001b[49m\u001b[43mprcp_fac_ts\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mprcp_fac_ts\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    201\u001b[0m \u001b[43m    \u001b[49m\u001b[43my0\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43my0\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    202\u001b[0m \u001b[43m    \u001b[49m\u001b[43mbias\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mbias\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    203\u001b[0m \u001b[43m    \u001b[49m\u001b[43mhalfsize\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mhalfsize\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    204\u001b[0m \u001b[43m    \u001b[49m\u001b[43mfilename\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mclimate_filename\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    205\u001b[0m \u001b[43m    \u001b[49m\u001b[43minput_filesuffix\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mclimate_input_filesuffix\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    206\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    208\u001b[0m \u001b[38;5;66;03m# Decide from climate\u001b[39;00m\n\u001b[1;32m    209\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m ye \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n",
      "File \u001b[0;32m~/.local/lib/python3.10/site-packages/oggm/sandbox/edu.py:60\u001b[0m, in \u001b[0;36mBiasedConstantMassBalance.__init__\u001b[0;34m(self, gdir, temp_bias_ts, prcp_fac_ts, bias, y0, halfsize, filename, input_filesuffix, **kwargs)\u001b[0m\n\u001b[1;32m     33\u001b[0m \u001b[38;5;124;03m\"\"\"Initialize\u001b[39;00m\n\u001b[1;32m     34\u001b[0m \n\u001b[1;32m     35\u001b[0m \u001b[38;5;124;03mParameters\u001b[39;00m\n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m     55\u001b[0m \u001b[38;5;124;03m    the file suffix of the input climate file\u001b[39;00m\n\u001b[1;32m     56\u001b[0m \u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m     58\u001b[0m \u001b[38;5;28msuper\u001b[39m(BiasedConstantMassBalance, \u001b[38;5;28mself\u001b[39m)\u001b[38;5;241m.\u001b[39m\u001b[38;5;21m__init__\u001b[39m()\n\u001b[0;32m---> 60\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mmbmod \u001b[38;5;241m=\u001b[39m \u001b[43mConstantMassBalance\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m     61\u001b[0m \u001b[43m    \u001b[49m\u001b[43mgdir\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m     62\u001b[0m \u001b[43m    \u001b[49m\u001b[43mbias\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mbias\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m     63\u001b[0m \u001b[43m    \u001b[49m\u001b[43my0\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43my0\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m     64\u001b[0m \u001b[43m    \u001b[49m\u001b[43mhalfsize\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mhalfsize\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m     65\u001b[0m \u001b[43m    \u001b[49m\u001b[43mfilename\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mfilename\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m     66\u001b[0m \u001b[43m    \u001b[49m\u001b[43minput_filesuffix\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43minput_filesuffix\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m     67\u001b[0m \u001b[43m    \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\n\u001b[1;32m     68\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m     70\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mvalid_bounds \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mmbmod\u001b[38;5;241m.\u001b[39mvalid_bounds\n\u001b[1;32m     71\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mhemisphere \u001b[38;5;241m=\u001b[39m gdir\u001b[38;5;241m.\u001b[39mhemisphere\n",
      "File \u001b[0;32m~/.local/lib/python3.10/site-packages/oggm/core/massbalance.py:720\u001b[0m, in \u001b[0;36mConstantMassBalance.__init__\u001b[0;34m(self, gdir, mb_model_class, y0, halfsize, **kwargs)\u001b[0m\n\u001b[1;32m    703\u001b[0m \u001b[38;5;124;03m\"\"\"Initialize\u001b[39;00m\n\u001b[1;32m    704\u001b[0m \n\u001b[1;32m    705\u001b[0m \u001b[38;5;124;03mParameters\u001b[39;00m\n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m    716\u001b[0m \u001b[38;5;124;03m    keyword arguments to pass to the mb_model_class\u001b[39;00m\n\u001b[1;32m    717\u001b[0m \u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m    719\u001b[0m \u001b[38;5;28msuper\u001b[39m()\u001b[38;5;241m.\u001b[39m\u001b[38;5;21m__init__\u001b[39m()\n\u001b[0;32m--> 720\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mmbmod \u001b[38;5;241m=\u001b[39m \u001b[43mmb_model_class\u001b[49m\u001b[43m(\u001b[49m\u001b[43mgdir\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    721\u001b[0m \u001b[43m                            \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    723\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m y0 \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m    724\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m InvalidParamsError(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mPlease set `y0` explicitly\u001b[39m\u001b[38;5;124m'\u001b[39m)\n",
      "File \u001b[0;32m~/.local/lib/python3.10/site-packages/oggm/core/massbalance.py:408\u001b[0m, in \u001b[0;36mMonthlyTIModel.__init__\u001b[0;34m(self, gdir, filename, input_filesuffix, mb_params_filesuffix, fl_id, melt_f, temp_bias, prcp_fac, bias, ys, ye, repeat, check_calib_params)\u001b[0m\n\u001b[1;32m    401\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m v \u001b[38;5;241m!=\u001b[39m cfg\u001b[38;5;241m.\u001b[39mPARAMS[k]:\n\u001b[1;32m    402\u001b[0m         msg \u001b[38;5;241m=\u001b[39m (\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mYou seem to use different mass balance parameters \u001b[39m\u001b[38;5;124m'\u001b[39m\n\u001b[1;32m    403\u001b[0m                \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mthan used for the calibration: \u001b[39m\u001b[38;5;124m'\u001b[39m\n\u001b[1;32m    404\u001b[0m                \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124myou use cfg.PARAMS[\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mk\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m]=\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mcfg\u001b[38;5;241m.\u001b[39mPARAMS[k]\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m while \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m    405\u001b[0m                \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mit was calibrated with cfg.PARAMS[\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mk\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m]=\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mv\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m. \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m    406\u001b[0m                \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mSet `check_calib_params=False` to ignore this \u001b[39m\u001b[38;5;124m'\u001b[39m\n\u001b[1;32m    407\u001b[0m                \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mwarning.\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[0;32m--> 408\u001b[0m         \u001b[38;5;28;01mraise\u001b[39;00m InvalidWorkflowError(msg)\n\u001b[1;32m    409\u001b[0m src \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mcalib_params[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mbaseline_climate_source\u001b[39m\u001b[38;5;124m'\u001b[39m]\n\u001b[1;32m    410\u001b[0m src_calib \u001b[38;5;241m=\u001b[39m gdir\u001b[38;5;241m.\u001b[39mget_climate_info()[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mbaseline_climate_source\u001b[39m\u001b[38;5;124m'\u001b[39m]\n",
      "\u001b[0;31mInvalidWorkflowError\u001b[0m: You seem to use different mass balance parameters than used for the calibration: you use cfg.PARAMS['temp_default_gradient']=-0.0055 while it was calibrated with cfg.PARAMS['temp_default_gradient']=-0.0065. Set `check_calib_params=False` to ignore this warning."
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# this takes very long!!!\n",
    "if run_spinup:\n",
    "    for prcp_fac_mult in [0.5,2]:\n",
    "        #oggm.cfg.PARAMS['temp_default_gradient'] =  temp_grad\n",
    "        #if run_spinup: \n",
    "        pert = f'_{temp_grad}'\n",
    "\n",
    "        dict_delta_t_rgi_eq = {}\n",
    "        file_id = f'_spinup{pert}'\n",
    "        # it does not need to be in perfect equilibrium to select the delta_t, but can still take up to 2000 years for the very slow glacier\n",
    "        years = np.arange(2000) \n",
    "    \n",
    "        for gdir, _r in zip(gdirs, rgi_ids):\n",
    "            dict_delta_t = {}\n",
    "            print(gdir.rgi_id)\n",
    "            for delta_t in np.arange(-2.4,0.3,0.05): # this might need to be adapted for other glaciers \n",
    "                # We are using the task run_with_hydro to store hydrological outputs along with the usual glaciological outputs\n",
    "                try:\n",
    "                    temp_bias_ts = pd.Series(years * 0. + delta_t, index=years)\n",
    "                    tasks.run_with_hydro(gdir,  # Run on the selected glacier\n",
    "                                         temp_bias_ts=temp_bias_ts,  # applied temp.bias on top of the applied climate\n",
    "                                         run_task=run_constant_climate_with_bias,  # which climate scenario? \n",
    "                                         y0=2009, halfsize=10,  # Period which we will average and constantly repeat\n",
    "                                         store_monthly_hydro=True,  # Monthly outputs provide additional information\n",
    "                                         output_filesuffix=file_id);  # an identifier for the output file, to read it later\n",
    "                    with xr.open_dataset(gdir.get_filepath('model_diagnostics', filesuffix=file_id)) as ds:\n",
    "                        # The last step of hydrological output is NaN (we can't compute it for this year)\n",
    "                        # at year 0, the volume is near to the inventory date\n",
    "                        ds = ds.isel(time=slice(0, -1)).load()\n",
    "                        ratio = np.abs(1 - ds.volume_m3.isel(time=-1)/ds.volume_m3.isel(time=0)).values\n",
    "                        if ds.isel(time=-1).volume_m3<0.7*ds.volume_m3.isel(time=0):\n",
    "                            # we can stop, we don't need to look for even warmer temperatures... \n",
    "                            print(gdir.rgi_id, delta_t)\n",
    "                            break \n",
    "                    print(delta_t)\n",
    "                except:\n",
    "                    ratio = 100000\n",
    "                dict_delta_t[delta_t.round(2)] = ratio\n",
    "            pd_delta_t = pd.DataFrame(dict_delta_t, index = ['rel_diff_v1/v0']).T\n",
    "            print(pd_delta_t.min())\n",
    "            delta_t_eq = pd_delta_t.idxmin().values[0]\n",
    "            dict_delta_t_rgi_eq[f'{gdir.rgi_id}{pert}'] = delta_t_eq\n",
    "        \n",
    "        \n",
    "        ### spinup \n",
    "        for gdir in gdirs:\n",
    "            print(gdir.rgi_id)\n",
    "            delta_t_eq = dict_delta_t_rgi_eq[f'{gdir.rgi_id}{pert}']\n",
    "            print(f'{gdir.rgi_id} - {gdir.name} need temperature bias of {delta_t_eq}°C to get into steady state with similar'\n",
    "                  'volume as volume from inventory date')\n",
    "            #with plt.xkcd():\n",
    "            delta_t = delta_t_eq\n",
    "            years = np.arange(2000) # 1000 use longer time series to make sure it is in steady-state ... \n",
    "            temp_bias_ts = pd.Series(years * 0. + delta_t, index=years)\n",
    "            temp_bias_ts.plot(); plt.xlabel('Year'); plt.ylabel('Temperature bias (°C)');\n",
    "    \n",
    "            # file identifier where the model output is saved\n",
    "            file_id = f'_spinup{pert}'\n",
    "    \n",
    "            # We are using the task run_with_hydro to store hydrological outputs along with the usual glaciological outputs\n",
    "            tasks.run_with_hydro(gdir,  # Run on the selected glacier\n",
    "                                 temp_bias_ts=temp_bias_ts,  # the temperature bias to apply to the average climate\n",
    "                                 run_task=run_constant_climate_with_bias,  # which climate scenario? See following notebook for other examples\n",
    "                                 y0=2009, halfsize=10,  # Period which we will average and constantly repeat\n",
    "                                 store_monthly_hydro=True,  # Monthly ouptuts provide additional information\n",
    "                                 output_filesuffix=file_id);  # an identifier for the output file, to read it later\n",
    "        # save temperature bias for steady states of the glaciers in JSON string\n",
    "        with open('data_idealised_exps_preprocessing/idealised_equilibrium_temp_bias_pert.json', 'w') as outfile:\n",
    "            json_string = json.dumps(dict_delta_t_rgi_eq)\n",
    "            outfile.write(json_string)\n",
    "    else:\n",
    "        # necessary temperature bias for steady states of the glaciers\n",
    "        with open('data_idealised_exps_preprocessing/idealised_equilibrium_temp_bias_pert.json') as json_file:\n",
    "            dict_delta_t_rgi_eq = json.load(json_file)\n",
    "            print(dict_delta_t_rgi_eq)"
   ]
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