Version 3 of the Global Aridity Index and Potential Evapotranspiration Database
Authors
Affiliations
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 (ET) 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" (ET: r = 0.85; AI: r = 0.90) and the U.K. "Climate Research Unit: Time Series v 4.04" (ET: r = 0.89; AI: r = 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 ET, 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.
Hernandez-Aguero J, Falkenhahn M, Hetzer J, Wesche K, Zarfl C, Tockner K PeerJ. 2025; 13:e18884.
PMID: 40034671 PMC: 11874939. DOI: 10.7717/peerj.18884.
Global Future Drought Layers Based on Downscaled CMIP6 Models and Multiple Socioeconomic Pathways.
Araujo D, Enquist B, Frazier A, Merow C, Roehrdanz P, Moulatlet G Sci Data. 2025; 12(1):295.
PMID: 39971936 PMC: 11840089. DOI: 10.1038/s41597-025-04612-w.
Global engineering effects of soil invertebrates on ecosystem functions.
Wu D, Du E, Eisenhauer N, Mathieu J, Chu C Nature. 2025; .
PMID: 39939777 DOI: 10.1038/s41586-025-08594-y.
CMIP6-based global estimates of future aridity index and potential evapotranspiration for 2021-2060.
Zomer R, Xu J, Spano D, Trabucco A Open Res Eur. 2025; 4:157.
PMID: 39926355 PMC: 11806256. DOI: 10.12688/openreseurope.18110.2.
Global biogeography and projection of antimicrobial toxin genes.
Liu Y, Geng Y, Jiang Y, Sun J, Li P, Li Y Microbiome. 2025; 13(1):40.
PMID: 39905479 PMC: 11796102. DOI: 10.1186/s40168-025-02038-5.