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Global Aridity Index and Potential Evapotranspiration (ET0) Climate Database v3

Version 6 2022-07-20, 07:07
Version 5 2022-06-09, 06:26
Version 4 2022-03-14, 16:00
Version 3 2019-01-18, 11:30
Version 2 2019-01-18, 09:19
Version 1 2018-12-23, 19:14
dataset
posted on 2022-03-14, 16:00 authored by Antonio Trabucco, Robert Zomer

The Global Aridity Index (Global-AI) and Global Reference Evapo-Transpiration (Global-ET0) datasets provided in Version 3 of the Global Aridity Index and Potential Evapo-Transpiration (ET0) Database (Global-AI_PET_v3) provide high-resolution (30 arc-seconds) global raster data for the 1970-2000 period, related to evapotranspiration processes and rainfall deficit for potential vegetative growth, based upon implementation of the FAO-56 Penman-Monteith Reference Evapotranspiration (ET0) equation.

Aridity Index represent the ratio between precipitation and ET0, thus rainfall over vegetation water demand (aggregated on annual basis). Under this formulation, Aridity Index values increase for more humid conditions, and decrease with more arid conditions. The Aridity Index values reported within the Global-AI geodataset have been multiplied by a factor of 10,000 to derive and distribute the data as integers (with 4 decimal accuracy). This multiplier has been used to increase the precision of the variable values without using decimals. The Readme File is provided with a detailed description of the dataset files, and the following article for a description of the methodology and a technical validation.

The Global-AI_PET_v3 datasets are provided for non-commercial use in standard GeoTiff format, at 30 arc seconds or ~ 1km at the equator.


Funding

CGIAR Platform for Big Data in Agriculture

History