{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Plot Profiles from ICON 3D Data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Here, we proceed with ICON data.  We will have a look at 3D ICON data."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Load Python Libraries "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "\n",
    "# system libs\n",
    "import os, sys, glob\n",
    "\n",
    "# array operators and netcdf datasets\n",
    "import numpy as np\n",
    "import xarray as xr\n",
    "xr.set_options(keep_attrs=True)\n",
    "\n",
    "# plotting\n",
    "import pylab as plt\n",
    "import seaborn as sns\n",
    "sns.set_context('talk')\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Open Data with `xarray`"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### General Paths"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "exercise_path = '/work/bb1224/2024_MS-COURSE'\n",
    "data_path = f'{exercise_path}/data'\n",
    "icon_data_path = f'{data_path}/icon-lem'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This is very similar to the tasks already done."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['bc-init', 'grids-extpar', 'experiments']"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "os.listdir(icon_data_path)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now, we select the `experiment`folder in which pre-calculated experiments are stored. **Later, you need to change this directory to your ICON output directory!** "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "exp_name = 'icon_lam_1dom_lpz-base'\n",
    "exp_path = f'{icon_data_path}/experiments/{exp_name}'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['.NAMELIST_icon_lam_1dom_lpz-base.swp',\n",
       " '2d_cloud_DOM01_ML_20210516T000000Z.nc',\n",
       " '2d_cloud_DOM01_ML_20210516T010000Z.nc',\n",
       " '2d_cloud_DOM01_ML_20210516T020000Z.nc',\n",
       " '2d_cloud_DOM01_ML_20210516T030000Z.nc',\n",
       " '2d_cloud_DOM01_ML_20210516T040000Z.nc',\n",
       " '2d_cloud_DOM01_ML_20210516T050000Z.nc',\n",
       " '2d_cloud_DOM01_ML_20210516T060000Z.nc',\n",
       " '2d_cloud_DOM01_ML_20210516T070000Z.nc',\n",
       " '2d_cloud_DOM01_ML_20210516T080000Z.nc',\n",
       " '2d_cloud_DOM01_ML_20210516T090000Z.nc',\n",
       " '2d_cloud_DOM01_ML_20210516T100000Z.nc',\n",
       " '2d_cloud_DOM01_ML_20210516T110000Z.nc',\n",
       " '2d_cloud_DOM01_ML_20210516T120000Z.nc',\n",
       " '2d_cloud_DOM01_ML_20210516T130000Z.nc',\n",
       " '2d_cloud_DOM01_ML_20210516T140000Z.nc',\n",
       " '2d_cloud_DOM01_ML_20210516T150000Z.nc',\n",
       " '2d_cloud_DOM01_ML_20210516T160000Z.nc',\n",
       " '2d_cloud_DOM01_ML_20210516T170000Z.nc',\n",
       " '2d_cloud_DOM01_ML_20210516T180000Z.nc',\n",
       " '2d_cloud_DOM01_ML_20210516T190000Z.nc',\n",
       " '2d_cloud_DOM01_ML_20210516T200000Z.nc',\n",
       " '2d_cloud_DOM01_ML_20210516T210000Z.nc',\n",
       " '2d_cloud_DOM01_ML_20210516T220000Z.nc',\n",
       " '2d_cloud_DOM01_ML_20210516T230000Z.nc',\n",
       " '2d_cloud_DOM01_ML_20210517T000000Z.nc',\n",
       " '2d_rad_DOM01_ML_20210516T000000Z.nc',\n",
       " '2d_rad_DOM01_ML_20210516T010000Z.nc',\n",
       " '2d_rad_DOM01_ML_20210516T020000Z.nc',\n",
       " '2d_rad_DOM01_ML_20210516T030000Z.nc',\n",
       " '2d_rad_DOM01_ML_20210516T040000Z.nc',\n",
       " '2d_rad_DOM01_ML_20210516T050000Z.nc',\n",
       " '2d_rad_DOM01_ML_20210516T060000Z.nc',\n",
       " '2d_rad_DOM01_ML_20210516T070000Z.nc',\n",
       " '2d_rad_DOM01_ML_20210516T080000Z.nc',\n",
       " '2d_rad_DOM01_ML_20210516T090000Z.nc',\n",
       " '2d_rad_DOM01_ML_20210516T100000Z.nc',\n",
       " '2d_rad_DOM01_ML_20210516T110000Z.nc',\n",
       " '2d_rad_DOM01_ML_20210516T120000Z.nc',\n",
       " '2d_rad_DOM01_ML_20210516T130000Z.nc',\n",
       " '2d_rad_DOM01_ML_20210516T140000Z.nc',\n",
       " '2d_rad_DOM01_ML_20210516T150000Z.nc',\n",
       " '2d_rad_DOM01_ML_20210516T160000Z.nc',\n",
       " '2d_rad_DOM01_ML_20210516T170000Z.nc',\n",
       " '2d_rad_DOM01_ML_20210516T180000Z.nc',\n",
       " '2d_rad_DOM01_ML_20210516T190000Z.nc',\n",
       " '2d_rad_DOM01_ML_20210516T200000Z.nc',\n",
       " '2d_rad_DOM01_ML_20210516T210000Z.nc',\n",
       " '2d_rad_DOM01_ML_20210516T220000Z.nc',\n",
       " '2d_rad_DOM01_ML_20210516T230000Z.nc',\n",
       " '2d_rad_DOM01_ML_20210517T000000Z.nc',\n",
       " '2d_surface_DOM01_ML_20210516T000000Z.nc',\n",
       " '2d_surface_DOM01_ML_20210516T010000Z.nc',\n",
       " '2d_surface_DOM01_ML_20210516T020000Z.nc',\n",
       " '2d_surface_DOM01_ML_20210516T030000Z.nc',\n",
       " '2d_surface_DOM01_ML_20210516T040000Z.nc',\n",
       " '2d_surface_DOM01_ML_20210516T050000Z.nc',\n",
       " '2d_surface_DOM01_ML_20210516T060000Z.nc',\n",
       " '2d_surface_DOM01_ML_20210516T070000Z.nc',\n",
       " '2d_surface_DOM01_ML_20210516T080000Z.nc',\n",
       " '2d_surface_DOM01_ML_20210516T090000Z.nc',\n",
       " '2d_surface_DOM01_ML_20210516T100000Z.nc',\n",
       " '2d_surface_DOM01_ML_20210516T110000Z.nc',\n",
       " '2d_surface_DOM01_ML_20210516T120000Z.nc',\n",
       " '2d_surface_DOM01_ML_20210516T130000Z.nc',\n",
       " '2d_surface_DOM01_ML_20210516T140000Z.nc',\n",
       " '2d_surface_DOM01_ML_20210516T150000Z.nc',\n",
       " '2d_surface_DOM01_ML_20210516T160000Z.nc',\n",
       " '2d_surface_DOM01_ML_20210516T170000Z.nc',\n",
       " '2d_surface_DOM01_ML_20210516T180000Z.nc',\n",
       " '2d_surface_DOM01_ML_20210516T190000Z.nc',\n",
       " '2d_surface_DOM01_ML_20210516T200000Z.nc',\n",
       " '2d_surface_DOM01_ML_20210516T210000Z.nc',\n",
       " '2d_surface_DOM01_ML_20210516T220000Z.nc',\n",
       " '2d_surface_DOM01_ML_20210516T230000Z.nc',\n",
       " '2d_surface_DOM01_ML_20210517T000000Z.nc',\n",
       " '3d_full_aux_DOM01_ML_20210516T000000Z.nc',\n",
       " '3d_full_aux_DOM01_ML_20210516T010000Z.nc',\n",
       " '3d_full_aux_DOM01_ML_20210516T020000Z.nc',\n",
       " '3d_full_aux_DOM01_ML_20210516T030000Z.nc',\n",
       " '3d_full_aux_DOM01_ML_20210516T040000Z.nc',\n",
       " '3d_full_aux_DOM01_ML_20210516T050000Z.nc',\n",
       " '3d_full_aux_DOM01_ML_20210516T060000Z.nc',\n",
       " '3d_full_aux_DOM01_ML_20210516T070000Z.nc',\n",
       " '3d_full_aux_DOM01_ML_20210516T080000Z.nc',\n",
       " '3d_full_aux_DOM01_ML_20210516T090000Z.nc',\n",
       " '3d_full_aux_DOM01_ML_20210516T100000Z.nc',\n",
       " '3d_full_aux_DOM01_ML_20210516T110000Z.nc',\n",
       " '3d_full_aux_DOM01_ML_20210516T120000Z.nc',\n",
       " '3d_full_aux_DOM01_ML_20210516T130000Z.nc',\n",
       " '3d_full_aux_DOM01_ML_20210516T140000Z.nc',\n",
       " '3d_full_aux_DOM01_ML_20210516T150000Z.nc',\n",
       " '3d_full_aux_DOM01_ML_20210516T160000Z.nc',\n",
       " '3d_full_aux_DOM01_ML_20210516T170000Z.nc',\n",
       " '3d_full_aux_DOM01_ML_20210516T180000Z.nc',\n",
       " '3d_full_aux_DOM01_ML_20210516T190000Z.nc',\n",
       " '3d_full_aux_DOM01_ML_20210516T200000Z.nc',\n",
       " '3d_full_aux_DOM01_ML_20210516T210000Z.nc',\n",
       " '3d_full_aux_DOM01_ML_20210516T220000Z.nc',\n",
       " '3d_full_aux_DOM01_ML_20210516T230000Z.nc',\n",
       " '3d_full_aux_DOM01_ML_20210517T000000Z.nc',\n",
       " '3d_full_base_DOM01_ML_20210516T000000Z.nc',\n",
       " '3d_full_base_DOM01_ML_20210516T010000Z.nc',\n",
       " '3d_full_base_DOM01_ML_20210516T020000Z.nc',\n",
       " '3d_full_base_DOM01_ML_20210516T030000Z.nc',\n",
       " '3d_full_base_DOM01_ML_20210516T040000Z.nc',\n",
       " '3d_full_base_DOM01_ML_20210516T050000Z.nc',\n",
       " '3d_full_base_DOM01_ML_20210516T060000Z.nc',\n",
       " '3d_full_base_DOM01_ML_20210516T070000Z.nc',\n",
       " '3d_full_base_DOM01_ML_20210516T080000Z.nc',\n",
       " '3d_full_base_DOM01_ML_20210516T090000Z.nc',\n",
       " '3d_full_base_DOM01_ML_20210516T100000Z.nc',\n",
       " '3d_full_base_DOM01_ML_20210516T110000Z.nc',\n",
       " '3d_full_base_DOM01_ML_20210516T120000Z.nc',\n",
       " '3d_full_base_DOM01_ML_20210516T130000Z.nc',\n",
       " '3d_full_base_DOM01_ML_20210516T140000Z.nc',\n",
       " '3d_full_base_DOM01_ML_20210516T150000Z.nc',\n",
       " '3d_full_base_DOM01_ML_20210516T160000Z.nc',\n",
       " '3d_full_base_DOM01_ML_20210516T170000Z.nc',\n",
       " '3d_full_base_DOM01_ML_20210516T180000Z.nc',\n",
       " '3d_full_base_DOM01_ML_20210516T190000Z.nc',\n",
       " '3d_full_base_DOM01_ML_20210516T200000Z.nc',\n",
       " '3d_full_base_DOM01_ML_20210516T210000Z.nc',\n",
       " '3d_full_base_DOM01_ML_20210516T220000Z.nc',\n",
       " '3d_full_base_DOM01_ML_20210516T230000Z.nc',\n",
       " '3d_full_base_DOM01_ML_20210517T000000Z.nc',\n",
       " '3d_full_geo_DOM01_ML_20210516T000000Z.nc',\n",
       " '3d_full_geo_DOM01_ML_20210517T000000Z.nc',\n",
       " '3d_full_qmix_DOM01_ML_20210516T000000Z.nc',\n",
       " '3d_full_qmix_DOM01_ML_20210516T010000Z.nc',\n",
       " '3d_full_qmix_DOM01_ML_20210516T020000Z.nc',\n",
       " '3d_full_qmix_DOM01_ML_20210516T030000Z.nc',\n",
       " '3d_full_qmix_DOM01_ML_20210516T040000Z.nc',\n",
       " '3d_full_qmix_DOM01_ML_20210516T050000Z.nc',\n",
       " '3d_full_qmix_DOM01_ML_20210516T060000Z.nc',\n",
       " '3d_full_qmix_DOM01_ML_20210516T070000Z.nc',\n",
       " '3d_full_qmix_DOM01_ML_20210516T080000Z.nc',\n",
       " '3d_full_qmix_DOM01_ML_20210516T090000Z.nc',\n",
       " '3d_full_qmix_DOM01_ML_20210516T100000Z.nc',\n",
       " '3d_full_qmix_DOM01_ML_20210516T110000Z.nc',\n",
       " '3d_full_qmix_DOM01_ML_20210516T120000Z.nc',\n",
       " '3d_full_qmix_DOM01_ML_20210516T130000Z.nc',\n",
       " '3d_full_qmix_DOM01_ML_20210516T140000Z.nc',\n",
       " '3d_full_qmix_DOM01_ML_20210516T150000Z.nc',\n",
       " '3d_full_qmix_DOM01_ML_20210516T160000Z.nc',\n",
       " '3d_full_qmix_DOM01_ML_20210516T170000Z.nc',\n",
       " '3d_full_qmix_DOM01_ML_20210516T180000Z.nc',\n",
       " '3d_full_qmix_DOM01_ML_20210516T190000Z.nc',\n",
       " '3d_full_qmix_DOM01_ML_20210516T200000Z.nc',\n",
       " '3d_full_qmix_DOM01_ML_20210516T210000Z.nc',\n",
       " '3d_full_qmix_DOM01_ML_20210516T220000Z.nc',\n",
       " '3d_full_qmix_DOM01_ML_20210516T230000Z.nc',\n",
       " '3d_full_qmix_DOM01_ML_20210517T000000Z.nc',\n",
       " '3d_full_tend_DOM01_ML_20210516T000000Z.nc',\n",
       " '3d_full_tend_DOM01_ML_20210516T010000Z.nc',\n",
       " '3d_full_tend_DOM01_ML_20210516T020000Z.nc',\n",
       " '3d_full_tend_DOM01_ML_20210516T030000Z.nc',\n",
       " '3d_full_tend_DOM01_ML_20210516T040000Z.nc',\n",
       " '3d_full_tend_DOM01_ML_20210516T050000Z.nc',\n",
       " '3d_full_tend_DOM01_ML_20210516T060000Z.nc',\n",
       " '3d_full_tend_DOM01_ML_20210516T070000Z.nc',\n",
       " '3d_full_tend_DOM01_ML_20210516T080000Z.nc',\n",
       " '3d_full_tend_DOM01_ML_20210516T090000Z.nc',\n",
       " '3d_full_tend_DOM01_ML_20210516T100000Z.nc',\n",
       " '3d_full_tend_DOM01_ML_20210516T110000Z.nc',\n",
       " '3d_full_tend_DOM01_ML_20210516T120000Z.nc',\n",
       " '3d_full_tend_DOM01_ML_20210516T130000Z.nc',\n",
       " '3d_full_tend_DOM01_ML_20210516T140000Z.nc',\n",
       " '3d_full_tend_DOM01_ML_20210516T150000Z.nc',\n",
       " '3d_full_tend_DOM01_ML_20210516T160000Z.nc',\n",
       " '3d_full_tend_DOM01_ML_20210516T170000Z.nc',\n",
       " '3d_full_tend_DOM01_ML_20210516T180000Z.nc',\n",
       " '3d_full_tend_DOM01_ML_20210516T190000Z.nc',\n",
       " '3d_full_tend_DOM01_ML_20210516T200000Z.nc',\n",
       " '3d_full_tend_DOM01_ML_20210516T210000Z.nc',\n",
       " '3d_full_tend_DOM01_ML_20210516T220000Z.nc',\n",
       " '3d_full_tend_DOM01_ML_20210516T230000Z.nc',\n",
       " '3d_full_tend_DOM01_ML_20210517T000000Z.nc',\n",
       " 'ECHAM6_CldOptProps.nc',\n",
       " 'NAMELIST_ICON_output_atm',\n",
       " 'NAMELIST_icon_lam_1dom_lpz-base',\n",
       " 'check_global_quantities.dat',\n",
       " 'dmin_wetgrowth_lookup.nc',\n",
       " 'dwdFG_R2B09_DOM01.nc',\n",
       " 'extpar_lpz_r2_dom01_DOM01.nc',\n",
       " 'extpar_lpz_r2_dom02_DOM02.nc',\n",
       " 'finish.status',\n",
       " 'icon_master.namelist',\n",
       " 'ifs2icon_R2B09_DOM01.nc',\n",
       " 'lpz_r2_dom01_DOM01.nc',\n",
       " 'nml.atmo.log',\n",
       " 'output_schedule.ps',\n",
       " 'output_schedule.txt',\n",
       " 'rrtmg_lw.nc',\n",
       " 'rrtmg_sw.nc',\n",
       " 'total_integrals.dat',\n",
       " 'tracer_total_integrals.dat']"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sorted( os.listdir( exp_path, )) "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Ui, many files! Again, files with `.nc` are our netcdf data. The suffix `_mean` indicates files for domain-mean quantities that have been calculated with `cdo`.\n",
    "\n",
    "\n",
    "Let's have a look at the different categories:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['/work/bb1224/2024_MS-COURSE/data/icon-lem/experiments/icon_lam_1dom_lpz-base/2d_cloud_DOM01_ML_20210516T120000Z.nc',\n",
       " '/work/bb1224/2024_MS-COURSE/data/icon-lem/experiments/icon_lam_1dom_lpz-base/2d_rad_DOM01_ML_20210516T120000Z.nc',\n",
       " '/work/bb1224/2024_MS-COURSE/data/icon-lem/experiments/icon_lam_1dom_lpz-base/2d_surface_DOM01_ML_20210516T120000Z.nc',\n",
       " '/work/bb1224/2024_MS-COURSE/data/icon-lem/experiments/icon_lam_1dom_lpz-base/3d_full_aux_DOM01_ML_20210516T120000Z.nc',\n",
       " '/work/bb1224/2024_MS-COURSE/data/icon-lem/experiments/icon_lam_1dom_lpz-base/3d_full_base_DOM01_ML_20210516T120000Z.nc',\n",
       " '/work/bb1224/2024_MS-COURSE/data/icon-lem/experiments/icon_lam_1dom_lpz-base/3d_full_qmix_DOM01_ML_20210516T120000Z.nc',\n",
       " '/work/bb1224/2024_MS-COURSE/data/icon-lem/experiments/icon_lam_1dom_lpz-base/3d_full_tend_DOM01_ML_20210516T120000Z.nc']"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sorted( glob.glob( f'{exp_path}/*DOM01_ML_20210516T120000Z.nc') )"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "* `2d_rad` : variables related to radiation\n",
    "* `2d_cloud` : variable related to clouds & precipitation\n",
    "* `2d_surface` : variable related to surface properties or surface budgets\n",
    "* `3d_full_base` : main prognostic variables\n",
    "* `3d_full_qmix` : hydrometeor mass mixing ratios\n",
    "* `3d_full_qnum` : hydrometeor number mixing ratios\n",
    "* `3d_full_tend` : tendencies of some prognostic variables (incl. physic parameterizations)\n",
    "* `3d_full_aux` : some additional 3d fields\n",
    "\n",
    "**Please, open a terminal and look at the file content.** (Using either `cdo sinfov <filename>` or `ncdump -h <filename>`).\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Base Files "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "dset = xr.open_dataset( f'{exp_path}/3d_full_base_DOM01_ML_20210516T120000Z.nc', chunks={} ) "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This is the content of the dataset. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Data variables:\n",
       "    height_bnds  (height, bnds) float64 dask.array<chunksize=(50, 2), meta=np.ndarray>\n",
       "    u            (time, height, ncells) float32 dask.array<chunksize=(1, 50, 10212), meta=np.ndarray>\n",
       "    v            (time, height, ncells) float32 dask.array<chunksize=(1, 50, 10212), meta=np.ndarray>\n",
       "    w            (time, height_2, ncells) float32 dask.array<chunksize=(1, 51, 10212), meta=np.ndarray>\n",
       "    clc          (time, height, ncells) float32 dask.array<chunksize=(1, 50, 10212), meta=np.ndarray>\n",
       "    qv           (time, height, ncells) float32 dask.array<chunksize=(1, 50, 10212), meta=np.ndarray>\n",
       "    temp         (time, height, ncells) float32 dask.array<chunksize=(1, 50, 10212), meta=np.ndarray>\n",
       "    pres         (time, height, ncells) float32 dask.array<chunksize=(1, 50, 10212), meta=np.ndarray>\n",
       "    theta_v      (time, height, ncells) float32 dask.array<chunksize=(1, 50, 10212), meta=np.ndarray>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dset.data_vars"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "It is easy to guess for which each variable name stands. If you don't like to guess, you could further look at dataset attributes: "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
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       "</table></div></div></li><li class='xr-section-item'><input id='section-a5ec8ce2-1ed4-4e6c-aac0-3990e11a45cf' class='xr-section-summary-in' type='checkbox'  checked><label for='section-a5ec8ce2-1ed4-4e6c-aac0-3990e11a45cf' class='xr-section-summary' >Coordinates: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.021e+07</div><input id='attrs-050cdee3-6963-4e49-9106-d55214a08593' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-050cdee3-6963-4e49-9106-d55214a08593' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-baad7c7f-bba9-4e03-9671-5d5966309e06' class='xr-var-data-in' type='checkbox'><label for='data-baad7c7f-bba9-4e03-9671-5d5966309e06' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>time</dd><dt><span>calendar :</span></dt><dd>proleptic_gregorian</dd><dt><span>axis :</span></dt><dd>T</dd><dt><span>units :</span></dt><dd>day as %Y%m%d.%f</dd></dl></div><div class='xr-var-data'><pre>array([20210516.5])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>height</span></div><div class='xr-var-dims'>(height)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.0 2.0 3.0 4.0 ... 48.0 49.0 50.0</div><input id='attrs-4151b275-b505-447a-9b94-a1af475db28f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-4151b275-b505-447a-9b94-a1af475db28f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-71ee8c84-a3a9-4839-b2b1-62323e6136df' class='xr-var-data-in' type='checkbox'><label for='data-71ee8c84-a3a9-4839-b2b1-62323e6136df' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>height</dd><dt><span>long_name :</span></dt><dd>generalized_height</dd><dt><span>axis :</span></dt><dd>Z</dd><dt><span>bounds :</span></dt><dd>height_bnds</dd></dl></div><div class='xr-var-data'><pre>array([ 1.,  2.,  3.,  4.,  5.,  6.,  7.,  8.,  9., 10., 11., 12., 13., 14.,\n",
       "       15., 16., 17., 18., 19., 20., 21., 22., 23., 24., 25., 26., 27., 28.,\n",
       "       29., 30., 31., 32., 33., 34., 35., 36., 37., 38., 39., 40., 41., 42.,\n",
       "       43., 44., 45., 46., 47., 48., 49., 50.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-bd28085a-cbee-4c31-a0d1-e89a6f630cc5' class='xr-section-summary-in' type='checkbox'  ><label for='section-bd28085a-cbee-4c31-a0d1-e89a6f630cc5' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>time</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-8b80cfdd-c6da-4272-a859-47b1921678f4' class='xr-index-data-in' type='checkbox'/><label for='index-8b80cfdd-c6da-4272-a859-47b1921678f4' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([20210516.5], dtype=&#x27;float64&#x27;, name=&#x27;time&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>height</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-2dca5a15-d8a7-4a51-a52e-593ce13a282b' class='xr-index-data-in' type='checkbox'/><label for='index-2dca5a15-d8a7-4a51-a52e-593ce13a282b' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 1.0,  2.0,  3.0,  4.0,  5.0,  6.0,  7.0,  8.0,  9.0, 10.0, 11.0, 12.0,\n",
       "       13.0, 14.0, 15.0, 16.0, 17.0, 18.0, 19.0, 20.0, 21.0, 22.0, 23.0, 24.0,\n",
       "       25.0, 26.0, 27.0, 28.0, 29.0, 30.0, 31.0, 32.0, 33.0, 34.0, 35.0, 36.0,\n",
       "       37.0, 38.0, 39.0, 40.0, 41.0, 42.0, 43.0, 44.0, 45.0, 46.0, 47.0, 48.0,\n",
       "       49.0, 50.0],\n",
       "      dtype=&#x27;float64&#x27;, name=&#x27;height&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-b41de38e-27c4-449e-be25-0ba6df6e76a7' class='xr-section-summary-in' type='checkbox'  checked><label for='section-b41de38e-27c4-449e-be25-0ba6df6e76a7' class='xr-section-summary' >Attributes: <span>(6)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>eastward_wind</dd><dt><span>long_name :</span></dt><dd>Zonal wind</dd><dt><span>units :</span></dt><dd>m s-1</dd><dt><span>param :</span></dt><dd>2.2.0</dd><dt><span>CDI_grid_type :</span></dt><dd>unstructured</dd><dt><span>number_of_grid_in_reference :</span></dt><dd>1</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'u' (time: 1, height: 50, ncells: 10212)>\n",
       "dask.array<open_dataset-ab7b367892eacfdd2bf43f9649d2ddaeu, shape=(1, 50, 10212), dtype=float32, chunksize=(1, 50, 10212), chunktype=numpy.ndarray>\n",
       "Coordinates:\n",
       "  * time     (time) float64 2.021e+07\n",
       "  * height   (height) float64 1.0 2.0 3.0 4.0 5.0 ... 46.0 47.0 48.0 49.0 50.0\n",
       "Dimensions without coordinates: ncells\n",
       "Attributes:\n",
       "    standard_name:                eastward_wind\n",
       "    long_name:                    Zonal wind\n",
       "    units:                        m s-1\n",
       "    param:                        2.2.0\n",
       "    CDI_grid_type:                unstructured\n",
       "    number_of_grid_in_reference:  1"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dset['u']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Calculate Average Profiles"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "dset_mean = dset.mean( 'ncells' )"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "There is an additional time dimension of `length = 1`. This is not needed and we get rid of it if the `queeze`method:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "dset_mean = dset_mean.squeeze()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Plotting the Profiles "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Model Level as Vertical Coordinate "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The coordinate `height` denotes the ICON model level:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
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       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2,\n",
       ".xr-no-icon {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;height&#x27; (height: 50)&gt;\n",
       "array([ 1.,  2.,  3.,  4.,  5.,  6.,  7.,  8.,  9., 10., 11., 12., 13., 14.,\n",
       "       15., 16., 17., 18., 19., 20., 21., 22., 23., 24., 25., 26., 27., 28.,\n",
       "       29., 30., 31., 32., 33., 34., 35., 36., 37., 38., 39., 40., 41., 42.,\n",
       "       43., 44., 45., 46., 47., 48., 49., 50.])\n",
       "Coordinates:\n",
       "  * height   (height) float64 1.0 2.0 3.0 4.0 5.0 ... 46.0 47.0 48.0 49.0 50.0\n",
       "Attributes:\n",
       "    standard_name:  height\n",
       "    long_name:      generalized_height\n",
       "    axis:           Z\n",
       "    bounds:         height_bnds</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'height'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>height</span>: 50</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-a8a75c4f-0aea-4718-8915-b5e4d1d7f8d4' class='xr-array-in' type='checkbox' checked><label for='section-a8a75c4f-0aea-4718-8915-b5e4d1d7f8d4' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>1.0 2.0 3.0 4.0 5.0 6.0 7.0 8.0 ... 44.0 45.0 46.0 47.0 48.0 49.0 50.0</span></div><div class='xr-array-data'><pre>array([ 1.,  2.,  3.,  4.,  5.,  6.,  7.,  8.,  9., 10., 11., 12., 13., 14.,\n",
       "       15., 16., 17., 18., 19., 20., 21., 22., 23., 24., 25., 26., 27., 28.,\n",
       "       29., 30., 31., 32., 33., 34., 35., 36., 37., 38., 39., 40., 41., 42.,\n",
       "       43., 44., 45., 46., 47., 48., 49., 50.])</pre></div></div></li><li class='xr-section-item'><input id='section-6b6cf614-d65b-4270-889b-5c060594517a' class='xr-section-summary-in' type='checkbox'  checked><label for='section-6b6cf614-d65b-4270-889b-5c060594517a' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>height</span></div><div class='xr-var-dims'>(height)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.0 2.0 3.0 4.0 ... 48.0 49.0 50.0</div><input id='attrs-eca049c6-8969-401c-a4be-82fba3986b94' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-eca049c6-8969-401c-a4be-82fba3986b94' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-167bc2f6-669c-4b34-bd22-e986bc3e450a' class='xr-var-data-in' type='checkbox'><label for='data-167bc2f6-669c-4b34-bd22-e986bc3e450a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>height</dd><dt><span>long_name :</span></dt><dd>generalized_height</dd><dt><span>axis :</span></dt><dd>Z</dd><dt><span>bounds :</span></dt><dd>height_bnds</dd></dl></div><div class='xr-var-data'><pre>array([ 1.,  2.,  3.,  4.,  5.,  6.,  7.,  8.,  9., 10., 11., 12., 13., 14.,\n",
       "       15., 16., 17., 18., 19., 20., 21., 22., 23., 24., 25., 26., 27., 28.,\n",
       "       29., 30., 31., 32., 33., 34., 35., 36., 37., 38., 39., 40., 41., 42.,\n",
       "       43., 44., 45., 46., 47., 48., 49., 50.])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-d4beacc0-79ae-4e4e-9ad6-43732bbd6974' class='xr-section-summary-in' type='checkbox'  ><label for='section-d4beacc0-79ae-4e4e-9ad6-43732bbd6974' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>height</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-08cab0c8-57e0-47e0-b056-aa50fe0d2f13' class='xr-index-data-in' type='checkbox'/><label for='index-08cab0c8-57e0-47e0-b056-aa50fe0d2f13' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([ 1.0,  2.0,  3.0,  4.0,  5.0,  6.0,  7.0,  8.0,  9.0, 10.0, 11.0, 12.0,\n",
       "       13.0, 14.0, 15.0, 16.0, 17.0, 18.0, 19.0, 20.0, 21.0, 22.0, 23.0, 24.0,\n",
       "       25.0, 26.0, 27.0, 28.0, 29.0, 30.0, 31.0, 32.0, 33.0, 34.0, 35.0, 36.0,\n",
       "       37.0, 38.0, 39.0, 40.0, 41.0, 42.0, 43.0, 44.0, 45.0, 46.0, 47.0, 48.0,\n",
       "       49.0, 50.0],\n",
       "      dtype=&#x27;float64&#x27;, name=&#x27;height&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e7679ec5-d862-461c-b947-186ae23ff394' class='xr-section-summary-in' type='checkbox'  checked><label for='section-e7679ec5-d862-461c-b947-186ae23ff394' class='xr-section-summary' >Attributes: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>standard_name :</span></dt><dd>height</dd><dt><span>long_name :</span></dt><dd>generalized_height</dd><dt><span>axis :</span></dt><dd>Z</dd><dt><span>bounds :</span></dt><dd>height_bnds</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray 'height' (height: 50)>\n",
       "array([ 1.,  2.,  3.,  4.,  5.,  6.,  7.,  8.,  9., 10., 11., 12., 13., 14.,\n",
       "       15., 16., 17., 18., 19., 20., 21., 22., 23., 24., 25., 26., 27., 28.,\n",
       "       29., 30., 31., 32., 33., 34., 35., 36., 37., 38., 39., 40., 41., 42.,\n",
       "       43., 44., 45., 46., 47., 48., 49., 50.])\n",
       "Coordinates:\n",
       "  * height   (height) float64 1.0 2.0 3.0 4.0 5.0 ... 46.0 47.0 48.0 49.0 50.0\n",
       "Attributes:\n",
       "    standard_name:  height\n",
       "    long_name:      generalized_height\n",
       "    axis:           Z\n",
       "    bounds:         height_bnds"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dset['height']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "These are terrain-following coordinates and additional data are needed to relate model level to a geometric height above ground or perhaps to atmospheric pressure.\n",
    "\n",
    "\n",
    "Let' shave a look at the pressure profile first to understand how model level are sorted."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 400x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure( figsize = (4,6))\n",
    "dset_mean['pres'].plot( y = 'height', lw = 3)\n",
    "plt.title( 'Pressure / Pa', fontweight = 'bold')\n",
    "sns.despine()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "OK; pressure is lowest at model level equal to one, i.e. model levels increase from top to bottom!"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Average Pressure on Vertical Axis"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Atmospheric scientist like the pressure coordinate. Here, we do the trick that we still plot model level, but show the typical average pressure which each level corresponds to. This practice is very often sufficient. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We prepare the average pressure:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "p_average = dset_mean['pres'] / 1e2   # conversion into hPa\n",
    "p_average.attrs['units'] = 'hPa'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "and then assign the pressure to the `height`coordinate:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "dset_mean = dset_mean.assign_coords( {'height': p_average})\n",
    "dset_mean = dset_mean.rename( {'height': 'pressure'})\n",
    "\n",
    "dset_mean = dset_mean.sel( pressure = slice(200,1000))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "finally, we plot the profiles of the atmopsheric variables as multi-panel plot:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1400x1600 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "figure, axs = plt.subplots( ncols = 3, nrows = 2, figsize = (14,16),)\n",
    "axs = axs.flatten()\n",
    "plt.subplots_adjust( hspace = 0.5, wspace = 0.5)\n",
    "for i, varname in enumerate( ['u', 'v', 'qv', 'clc', 'temp', 'theta_v'] ):\n",
    "    \n",
    "    plt.sca( axs[i] )\n",
    "    \n",
    "    v = dset_mean[varname]\n",
    "    v.plot( y = 'pressure', lw = 3 )\n",
    "    \n",
    "    plt.title('%s / %s' % (v.long_name, v.units), pad = 20, fontweight = 'bold')\n",
    "    plt.ylim(1000., 200.)\n",
    "    sns.despine()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Tasks"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Use this notebook to explore the other `3d_*nc` files:\n",
    "\n",
    "* Do you understand the meaning of the different variables?\n",
    "\n",
    "* Specifically, how are liquid and frozen hydrometeors distributed?"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "1 Python 3 (based on the module python3/2023.01)",
   "language": "python",
   "name": "python3_2023_01"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.10"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}