{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "\n# Satellite\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "from opendrift.readers import reader_netCDF_CF_generic\nfrom opendrift.models.openoil import OpenOil\n\no = OpenOil(loglevel=20)  # Set loglevel to 0 for debug information"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "Adjusting some configuration\n\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "o.set_config('drift:vertical_mixing', False)\no.set_config('processes:dispersion', True)\no.set_config('processes:evaporation', False)\no.set_config('processes:emulsification', True)\no.set_config('drift:current_uncertainty', .1)  # Diffusion\no.set_config('drift:wind_uncertainty', 1)\n\n# Arome\nreader_arome = reader_netCDF_CF_generic.Reader(o.test_data_folder() +\n    '16Nov2015_NorKyst_z_surface/arome_subset_16Nov2015.nc')\n\n# Norkyst\nreader_norkyst = reader_netCDF_CF_generic.Reader(o.test_data_folder() +\n    '16Nov2015_NorKyst_z_surface/norkyst800_subset_16Nov2015.nc')\n\no.add_reader([reader_norkyst, reader_arome])"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "Seed oil particles within contour detected from satellite\n\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "o.seed_from_gml(o.test_data_folder() + 'radarsat_oil_satellite_observation/RS2_20151116_002619_0127_SCNB_HH_SGF_433012_9730_12182143_Oil.gml',\n    num_elements=2000)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "Running model for 6 hours\n\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "o.run(steps=6*4, time_step=900)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "Print and plot results\n\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "print(o)\no.animation(fast=True, buffer=0.1)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "<img src=\"file://gallery/animations/example_satellite_0.gif\">\n\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "o.plot(fast=True, buffer=0.1)"
      ]
    }
  ],
  "metadata": {
    "kernelspec": {
      "display_name": "Python 3",
      "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": "3.11.6"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}