Rainfall anomaly.
About the data.
Data: Rainfall anomaly from CHIRPS
Reference:
CHIRPS https://chc.ucsb.edu/data/chirps
Source:
CHIRPS https://data.chc.ucsb.edu/products/CHIRPS-2.0/
Spatial resolution:
CHIRPS: 0.05 deg ~ 5.6 km at equator.
Temporal resolution:
CHIRPS: Dekad, 1 Jan 1981 - Dekad 3, Sep 2020. 1,3,6,9,12 and 24 months with rolling dekad anomaly.
Coverage:
CHIRPS: 50N-23.5S, 60E-180E
Method:
Rainfall accumulation calculate using GDAL “gdal_calc.py --calc=expression --outfile=out_filename [-A filename] [--A_band=n] [-B...-Z filename] [other_options]”
Long-term statistics (39 years, 1981 - 2019) information calculate using Cell Statistics tools in ArcGIS Spatial Analyst Toolbox.
Ratio anomaly calculate using equation: 100 * rainfall / long-term average
Difference anomaly calculate using equation: rainfall - long-term average
Unit:
Ratio anomaly: %
Difference anomaly: mm/month.
Format:
GeoTIFF (*.tif)
Projection:
EPSG:4326
Download.
Dekad rainfall anomaly.
Ratio anomaly: https://on.istan.to/360GooV
6-months rainfall anomaly, rolling dekad.
Ratio anomaly: https://on.istan.to/35U8IsM
24-months rainfall anomaly, rolling dekad.
Ratio anomaly: https://on.istan.to/376XJvI
1-month rainfall anomaly, rolling dekad.
Ratio anomaly: https://on.istan.to/2HxxbuM
Difference anomaly: https://on.istan.to/3lYMRpA
9-months rainfall anomaly, rolling dekad.
Ratio anomaly: https://on.istan.to/371zheR
3-months rainfall anomaly, rolling dekad.
Ratio anomaly: https://on.istan.to/35W5SDF
12-months rainfall anomaly, rolling dekad.
Ratio anomaly: https://on.istan.to/3fppzXC