Data

Global Aridity Index and Potential Evapotranspiration Climate Database v3

Partly supported by CGIAR-CSI's Mini-Grants Program, Robert Zomer (ICRAF) and Antonio Trabucco (CMCC) have developed a new version of the Global Aridity Index and Potential Evapotranspiration Database (Global-AI_PET).

This new updated dataset, available to download from the figshare open data repository, provides 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 on the implementation of the FA0-56 Penman-Monteith Reference Evapotranspiration (ET0) equation.

This dataset is expected to support studies contributing to sustainable development, biodiversity and environmental conservation, poverty alleviation, and adaption to climate change, particularly relevant in the support of agronomic crop and yield modeling, and other ecological or bioclimatic modeling, and notably, supporting plant breeding, crop cultivar and tree species suitability analysis, and the impact of climate change on future production.

The Global Aridity and Potential Evapotranspiration are both modeled using the data available from WorldClim Global Climate Data. The methods used to derive these datasets are described fully in:

Zomer, R. J., Trabucco, A. 2022. Version 3 of the “Global Aridity Index and Potential Evapotranspiration (ET0) Database”: Estimation of Penman-Monteith Reference Evapotranspiration. (In Press).

The data dictionary and date use instructions are found in the associated Readme file in the figshare repository:

Trabucco, Antonio; Zomer, Robert (2022): Global Aridity Index and Potential Evapotranspiration (ET0) Climate Database v3. figshare. Dataset. https://doi.org/10.6084/m9.figshare.7504448.v4 

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