{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "0",
   "metadata": {},
   "source": [
    "[![image](https://colab.research.google.com/assets/colab-badge.svg)](https://githubtocolab.com/gee-community/geemap/blob/master/examples/notebooks/105_netcdf.ipynb)\n",
    "[![image](https://mybinder.org/badge_logo.svg)](https://gishub.org/geemap-binder)\n",
    "\n",
    "**Visualizing NetCDF data**\n",
    "\n",
    "Uncomment the following line to install [geemap](https://geemap.org) if needed."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "1",
   "metadata": {},
   "outputs": [],
   "source": [
    "# !pip install geemap xarray rioxarray netcdf4 localtileserver"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "2",
   "metadata": {},
   "outputs": [],
   "source": [
    "import geemap"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3",
   "metadata": {},
   "source": [
    "Download a sample NetCDF dataset."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "4",
   "metadata": {},
   "outputs": [],
   "source": [
    "url = \"https://github.com/giswqs/leafmap/raw/master/examples/data/wind_global.nc\"\n",
    "filename = \"wind_global.nc\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "5",
   "metadata": {},
   "outputs": [],
   "source": [
    "geemap.download_file(url, output=filename)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6",
   "metadata": {},
   "source": [
    "Read the NetCDF dataset."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7",
   "metadata": {},
   "outputs": [],
   "source": [
    "data = geemap.read_netcdf(filename)\n",
    "data"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8",
   "metadata": {},
   "source": [
    "Convert the NetCDF dataset to GeoTIFF. Note that the longitude range of the NetCDF dataset is `[0, 360]`. We need to convert it to `[-180, 180]` by setting `shift_lon=True` so that it can be displayed on the map."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "9",
   "metadata": {},
   "outputs": [],
   "source": [
    "tif = \"wind_global.tif\"\n",
    "geemap.netcdf_to_tif(filename, tif, variables=[\"u_wind\", \"v_wind\"], shift_lon=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "10",
   "metadata": {},
   "source": [
    "Add the GeoTIFF to the map. We can also overlay the country boundary on the map."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "11",
   "metadata": {},
   "outputs": [],
   "source": [
    "geojson = \"https://github.com/giswqs/leafmap/raw/master/examples/data/countries.geojson\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "12",
   "metadata": {},
   "outputs": [],
   "source": [
    "m = geemap.Map(layer_ctrl=True)\n",
    "m.add_raster(tif, band=[1], palette=\"coolwarm\", layer_name=\"u_wind\")\n",
    "m.add_geojson(geojson, layer_name=\"Countries\")\n",
    "m"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "13",
   "metadata": {},
   "source": [
    "You can also use the `add_netcdf()` function to add the NetCDF dataset to the map without having to convert it to GeoTIFF explicitly."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "14",
   "metadata": {},
   "outputs": [],
   "source": [
    "m = geemap.Map(layer_ctrl=True)\n",
    "m.add_netcdf(\n",
    "    filename,\n",
    "    variables=[\"v_wind\"],\n",
    "    palette=\"coolwarm\",\n",
    "    shift_lon=True,\n",
    "    layer_name=\"v_wind\",\n",
    ")\n",
    "m.add_geojson(geojson, layer_name=\"Countries\")\n",
    "m"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "15",
   "metadata": {},
   "source": [
    "Visualizing wind velocity."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "16",
   "metadata": {},
   "outputs": [],
   "source": [
    "m = geemap.Map(layer_ctrl=True)\n",
    "m.add_basemap(\"CartoDB.DarkMatter\")\n",
    "m.add_velocity(filename, zonal_speed=\"u_wind\", meridional_speed=\"v_wind\")\n",
    "m"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "17",
   "metadata": {},
   "source": [
    "![](https://i.imgur.com/oL5Mgeu.gif)"
   ]
  }
 ],
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  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
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