{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "\n# SHYFEM: Using model input from unstructured grid\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "from datetime import timedelta\nimport numpy as np\nfrom opendrift.readers.unstructured import shyfem\nfrom opendrift.models.oceandrift import OceanDrift\n\no = OceanDrift(loglevel=20)  # Set loglevel to 0 for debug information\n\no.set_config('general:coastline_action', 'previous')\n\nshyfem = shyfem.Reader('https://iws.ismar.cnr.it/thredds/dodsC/emerge/shyfem_unstructured_adriatic.nc')\no.add_reader(shyfem)\nprint(shyfem)\n\n# Seed elements at defined positions, depth and time\nN = 1000\nz = -15*np.random.uniform(0, 1, N)\no.seed_elements(lon=12.4, lat=45.25, radius=1000, number=N,\n                z=z, time=shyfem.start_time)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "Running model\n\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "o.run(time_step=1800, duration=timedelta(hours=12))"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "Print and plot results\n\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "print(o)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "Animations\n\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "o.animation(color='z', markersize=5, corners=[12.2, 12.6, 45.1, 45.5])\n\no.animation_profile(color='z', markersize=5)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "<img src=\"file://gallery/animations/example_shyfem_0.gif\">\n<img src=\"file://gallery/animations/example_shyfem_1.gif\">\n\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "o.plot(fast=True, buffer = 1., corners=[12.2, 12.6, 45.1, 45.5])"
      ]
    }
  ],
  "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
}