{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "5d78823d",
   "metadata": {},
   "source": [
    "This file is an example of how to read and visualize a katabatic event."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "bd207791",
   "metadata": {},
   "outputs": [],
   "source": [
    "from netCDF4 import Dataset\n",
    "import pandas as pd\n",
    "from matplotlib import pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "933570ff",
   "metadata": {},
   "outputs": [],
   "source": [
    "Path = 'Site_A/Turbulence_mast/Katabatic_events/Event_6d/CSAT2.nc'"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7179ac74",
   "metadata": {},
   "source": [
    "See the content of the file:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "6027a04a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'Time': <class 'netCDF4._netCDF4.Variable'>\n",
       " float64 Time(dimension)\n",
       "     long_name: Date and time\n",
       "     units: Y-M-D h:m:s\n",
       " unlimited dimensions: \n",
       " current shape = (216001,)\n",
       " filling on, default _FillValue of 9.969209968386869e+36 used,\n",
       " 'U': <class 'netCDF4._netCDF4.Variable'>\n",
       " float64 U(dimension)\n",
       "     long_name: Along-slope velocity\n",
       "     units: m s-1\n",
       " unlimited dimensions: \n",
       " current shape = (216001,)\n",
       " filling on, default _FillValue of 9.969209968386869e+36 used,\n",
       " 'V': <class 'netCDF4._netCDF4.Variable'>\n",
       " float64 V(dimension)\n",
       "     long_name: Transverse velocity\n",
       "     units: m s-1\n",
       " unlimited dimensions: \n",
       " current shape = (216001,)\n",
       " filling on, default _FillValue of 9.969209968386869e+36 used,\n",
       " 'W': <class 'netCDF4._netCDF4.Variable'>\n",
       " float64 W(dimension)\n",
       "     long_name: Slope-normal velocity\n",
       "     units: m s-1\n",
       " unlimited dimensions: \n",
       " current shape = (216001,)\n",
       " filling on, default _FillValue of 9.969209968386869e+36 used,\n",
       " 'T': <class 'netCDF4._netCDF4.Variable'>\n",
       " float64 T(dimension)\n",
       "     long_name: Temperature\n",
       "     units: °C\n",
       " unlimited dimensions: \n",
       " current shape = (216001,)\n",
       " filling on, default _FillValue of 9.969209968386869e+36 used}"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Dataset(Path).variables"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c3b6831e",
   "metadata": {},
   "source": [
    "Read the data:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "965bf1a7",
   "metadata": {},
   "outputs": [],
   "source": [
    "Time = pd.to_datetime(Dataset(Path).variables['Time'][:])\n",
    "U = Dataset(Path).variables['U'][:]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "68686c88",
   "metadata": {},
   "source": [
    "Visualize the event:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "d6bb0ed7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'U [m/s]')"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12,6))\n",
    "plt.plot(Time, U)\n",
    "plt.xlabel('Time')\n",
    "plt.ylabel('U [m/s]')"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
