{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "\n# Icebergs (openberg)\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "from datetime import datetime, timedelta\nimport numpy as np\nimport matplotlib.pyplot as plt\nimport opendrift\nfrom opendrift.models.openberg import OpenBerg"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "Currents and wind forcing\n\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "forcing = ['https://thredds.met.no/thredds/dodsC/fou-hi/barents_eps_zdepth_be']"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "A permutation of iceberg sizes/dimensions\n\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "n = 10\nlengths = np.linspace(50, 500, n)\nwidths = np.linspace(20, 200, n)\nsails = np.linspace(5, 50, n)\ndrafts = np.linspace(2, 120, n)\nlengths, widths, sails, drafts = np.meshgrid(lengths, widths, sails, drafts)\n\nicebergs = {'lon': 18.127, 'lat': 74.776, 'time': datetime.now(),\n            'number': lengths.size, 'radius': 500,\n            'sail': sails, 'draft': drafts, 'length': lengths, 'width': widths}"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "Simulating drift for 48 hours\n\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "o = OpenBerg()\no.set_config('drift:vertical_profile', False)\no.set_config('environment:constant:horizontal_diffusivity', 100)\no.add_readers_from_list(forcing)\no.seed_elements(**icebergs)\no.run(duration=timedelta(hours=48))\n\no.animation(color='draft', contourlines=np.arange(0, 500, 25))"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "<img src=\"file://gallery/animations/example_openberg_0.gif\">\n\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "o.plot(contourlines=np.arange(0, 500, 25))"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "Plotting the speed of icebergs\n\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "iceberg_speed = np.sqrt(o.result.iceb_x_velocity**2 + o.result.iceb_y_velocity**2)\niceberg_speed.plot.line(x='time', add_legend=False, color='gray')\nplt.ylabel('Iceberg speed  [m/s]')\nplt.show()"
      ]
    }
  ],
  "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": "3.14.3"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}