Abstract

The “Global Aridity Index and Potential Evapotranspiration Database - Version 3” (Global-AI_PET_v3) provides high-resolution (30 arc-seconds) global hydro-climatic data averaged (1970–2000) monthly and yearly, based upon the FAO Penman-Monteith Reference Evapotranspiration (ET0) equation. An overview of the methods used to implement the Penman-Monteith equation geospatially and a technical evaluation of the results is provided. Results were compared for technical validation with weather station data from the FAO “CLIMWAT 2.0 for CROPWAT” (ET0: r2 = 0.85; AI: r2 = 0.90) and the U.K. “Climate Research Unit: Time Series v 4.04” (ET0: r2 = 0.89; AI: r2 = 0.83), while showing significant differences to an earlier version of the database. The current version of the Global-AI_PET_v3 supersedes previous versions, showing a higher correlation to real world weather station data. Developed using the generally agreed upon standard methodology for estimation of reference ET0, this database and notably, the accompanying source code, provide a robust tool for a variety of scientific applications in an era of rapidly changing climatic conditions.

Measurement(s)

evapotranspiration

Technology Type(s)

Geographic Information System

Sample Characteristic - Environment

climate system

Details

Title
Version 3 of the Global Aridity Index and Potential Evapotranspiration Database
Author
Zomer, Robert J. 1   VIAFID ORCID Logo  ; Xu, Jianchu 1 ; Trabucco, Antonio 2   VIAFID ORCID Logo 

 Chinese Academy of Science, Centre for Mountain Futures, Kunming Institute of Botany, Kunming, China (GRID:grid.9227.e) (ISNI:0000000119573309); World Agroforestry (ICRAF), CIFOR-ICRAF China Program, Kunming, China (GRID:grid.513239.f) 
 IAFES Division, Euro-Mediterranean Center on Climate Change, Sassari, Italy (GRID:grid.423878.2) (ISNI:0000 0004 1761 0884) 
Publication year
2022
Publication date
2022
Publisher
Nature Publishing Group
e-ISSN
20524463
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2690047809
Copyright
© The Author(s) 2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.