Gee dataset: chirps pentad high resolution global grid rainfall dataset

1、 Data set introduction

  CHIRPS Pentad:Climate Hazards Group InfraRed Precipitation With Station Data

This is a record set 1981 Data set of global rainfall from 2004 to the present .CHIRPS take 0.05° Resolution satellite images and in-situ Site data combination , Create a gridded rainfall time series .
 

Earth Engine Data Catalog Including many other gridded precipitation data sets , for example ERA5 and GPM—— Each data set has different spatial and temporal resolutions and methods . The technology of each dataset product is roughly the same as that of the above dataset .

CHIRP The main calculation time step is pentad.Pentad representative 5 Grouping of days . There are... In a calendar month 6 individual pentad：5 individual 5 Days of pentad and 1 individual pentad And the rest of the month 3 To 6 God . The pentagram is reset at the beginning of each month . We will use CHIRPS pentad Data sets . Please note that ,CHIRPS Also to everyday Time step provision , The time step is calculated by decomposing the five tuple data . Unless you specifically need daily data , Otherwise you should use pentad Data sets .

2、 Dataset application

• It is mainly used for trend analysis and seasonal drought monitoring
• It is used to analyze the spatial and temporal variation characteristics of regional precipitation
• It can be used for the input boundary of watershed runoff model
• It can be used for the analysis of precipitation characteristics in areas without data

3、GEE Load in

（1）JavaScript Code ：

var dataset = ee.ImageCollection('UCSB-CHG/CHIRPS/PENTAD')
                  .filter(ee.Filter.date('2018-05-01', '2018-05-05'));
var precipitation = dataset.select('precipitation');
var precipitationVis = {
  min: 0.0,
  max: 112.0,
  palette: ['001137', '0aab1e', 'e7eb05', 'ff4a2d', 'e90000'],
};
Map.setCenter(17.93, 7.71, 2);
Map.addLayer(precipitation, precipitationVis, 'Precipitation');

（2）Python Code ：

dataset = ee.ImageCollection('UCSB-CHG/CHIRPS/PENTAD')
                  .filter(ee.Filter.date('2018-05-01', '2018-05-05'))
precipitation = dataset.select('precipitation')
precipitationVis = {
  'min': 0.0,
  'max': 112.0,
  'palette': ['001137', '0aab1e', 'e7eb05', 'ff4a2d', 'e90000'],
}
Map.setCenter(17.93, 7.71, 2);
Map.addLayer(precipitation, precipitationVis, 'Precipitation')

4、 Dataset reference

Funk, Chris, Pete Peterson, Martin Landsfeld, Diego Pedreros, James Verdin, Shraddhanand Shukla, Gregory Husak, James Rowland, Laura Harrison, Andrew Hoell & Joel Michaelsen. "The climate hazards infrared precipitation with stations—a new environmental record for monitoring extremes". Scientific Data 2, 150066. doi:10.1038/sdata.2015.66 2015.