Google Earth Cloud Engine NOAA GFS

 Invece di procedere in modo tradizionale come indicato nel post precedente si possono interrogare i dati GFS NOAA anche da Google Earth Engine con il vantaggi che i dati sono gia' scaricati e pronti all'elaborazione (con lo svantaggio che i risultati possono essere esportati in automatico solo su cloud e non sulla macchina locale)

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var palettes = require('users/gena/packages:palettes');
var palette = palettes.colorbrewer.RdYlGn[9];

var region = ee.Geometry(Map.getBounds(true))
// Strip time off current date/time
var today = ee.Date(new Date().toISOString().split('T')[0])
var image;
var collection = ee.ImageCollection('NOAA/GFS0P25')
  .select('temperature_2m_above_ground')
  .filterDate(today.advance(-1, 'day'), today.advance(1, 'day'))
  .sort('system:time_start', false)
console.log(collection);
// per i successivi 3 giorni le previsioni sono orarie
// le previsioni vengono ricalcolate ogni 6 ore
var forecasts = ee.ImageCollection(
  [0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23, 24,
     25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,
     49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,63,64,65,66,67,68,69,70,71].map(forecast) 
  //[12, 24, 36,48,60, 72].map(forecast) 
)
Map.setCenter(11.8537, 46.4297, 12);
Map.setOptions('SATELLITE');
Map.setControlVisibility(false, false, true, true, true, false, false)
Map.addLayer(forecasts, {min: 0, max: 30,palette: palette,opacity: 0.5}, 'Temperature forecast', true)
var textStyle = {
  color: 'grey',
  fontName: 'arial',
  fontSize: 10,
  bold: true,
  italic: false
}
var chart = ui.Chart.image.series({
  imageCollection: forecasts, 
  region: geometry,
  reducer: ee.Reducer.mean(), 
  scale: forecasts.first().projection().nominalScale(),
  xProperty: 'date',
}).setChartType('LineChart').setOptions({title: 'Forecast 72h Temperature 2m above ground (C)',hAxis: {title: 'Date',textStyle: textStyle},vAxis: {title: 'Temperature'}});

//print(chart)
var panel_chart = ui.Panel({style: {width: '400px'}})
     .add(ui.Label('NOAA/GFS0P25'))
     .add(chart);
ui.root.add(panel_chart);


function forecast(hours) {
  image = collection
    .filterMetadata('forecast_hours', 'equals', hours)
    // Since colleciton is sorted descending, if there are more than 
    // one forecast, first() will give the latest.
    .first()
  var date = image.date().advance(hours, 'hours')
  return image
    .set('date', date.format())
}
var panel = ui.Panel();
panel.style().set({
  width: '400px',
  position: 'bottom-right'
});
//Map.add(panel);
Map.onClick(function(coords) {
  //panel_chart.clear();
  console.log(collection);
  //Map.add(panel);
  var location = 'lon: ' + coords.lon.toFixed(4) + ' ' +
                 'lat: ' + coords.lat.toFixed(4);
  var click_point = ee.Geometry.Point(coords.lon, coords.lat);
  var valore = image.reduceRegion(ee.Reducer.first(), click_point, 90).evaluate(function(val){
    //console.log(valore);
    //var demText = 'Habitat suitability: ' + val.b1;
    //toolPanel.widgets().set(2, ui.Label(demText));
  });
  panel.widgets().set(1, ui.Label(location));
// Edit: To be temporary, the "loading..." panel number has to be the same as the demText panel number (changed from 1 to 2).
  //panel.widgets().set(2, ui.Label("loading..."));
  Map.layers().set(1, ui.Map.Layer(click_point, {color: 'FF0000'}));
});