Calculate yearly amount of rainfall in your country
Step 1: import the chirps data
Step 2: Set the date variables
// set start and end year var startyear = 2000; var endyear = 2014; // make a date object var startdate = ee.Date.fromYMD(startyear, 1, 1); var enddate = ee.Date.fromYMD(endyear + 1, 1, 1); // make a list with years var years = ee.List.sequence(startyear, endyear);
Step 3: Set the geographic location
// Specify Country names
var country_names = ['Indonesia'];
// Get the country boundaries
var countries = ee.FeatureCollection('ft:1tdSwUL7MVpOauSgRzqVTOwdfy17KDbw-1d9omPw');
// Filter for country
var Indonesia = countries.filter(ee.Filter.inList('Country', country_names));
// Get the geometry
var Indonesia = Indonesia.geometry();
Step 4: Calculate the yearly precipitation
var annualPrecip = ee.ImageCollection.fromImages(
years.map(function (year) {
var annual = chirps
.filter(ee.Filter.calendarRange(year, year, 'year'))
.sum();
return annual
.set('year', year)
.set('system:time_start', ee.Date.fromYMD(year, 1, 1));
}));
Step 5: Make a chart of the data
var title = {
title: 'Annual precipitation',
hAxis: {title: 'Time'},
vAxis: {title: 'Precipitation (mm)'},
};
var chart = ui.Chart.image.seriesByRegion({
imageCollection: annualPrecip,
regions: Indonesia,
reducer: ee.Reducer.mean(),
band: 'precipitation',
scale: 2500,
xProperty: 'system:time_start',
seriesProperty: 'SITE'
}).setOptions(title)
.setChartType('ColumnChart');
Step 6: Calculate the mean of the period
var annualMean = annualPrecip.mean().clip(Indonesia);
Step 7: Calculate the mean of the period
var annualMean = annualPrecip.mean().clip(Indonesia);
Step 8: show the map
var pViz = {
min: 2000,
max: 5500,
palette: '000000, 0000FF, FDFF92, FF2700, FF00E7'
};
Map.centerObject(Indonesia, 5);
Map.addLayer(annualMean, pViz, 'mean yearly P');
See an example here.