Global Aridity Index and Potential Evapotranspiration Climate Database v3 - Algorithm Code (Python)
The custom code in Python programming language used to develop the Global Aridity Index and Potential Evapotranspiration (ET0) Climate Database v3.
The “Global Aridity Index and Potential Evapotranspiration (ET0) Database” (Global-AI_PET_v3) provides high-resolution (30 arc-seconds) global hydro-climatic data averaged monthly and yearly for the period 1970-2000, based upon a fully parameterized implementation of a Penman-Monteith Reference Evapotranspiration (ET0) equation. An overview of the methods used to implement the Penman-Monteith equation geospatially, and a technical evaluationof the datasets are provided in a peer-reviewed journal article.
Zomer, R.J.; Xu, J.; Trabuco, A. 2022. Version 3 of the Global Aridity Index and Potential Evapotranspiration Database. Scientific Data 9, 409. https://www.nature.com/articles/s41597-022-01493-1
The Global-AI_PET_v3 is archived and publicly available online for download at:
https://figshare.com/articles/dataset/Global_Aridity_Index_and_Potential_Evapotranspiration_ET0_Climate_Database_v2/7504448
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Categories
- Hydrology not elsewhere classified
- Natural resource management
- Environmental management
- Environmental management
- Environmental assessment and monitoring
- Ecology not elsewhere classified
- Ecological impacts of climate change and ecological adaptation
- Climatology
- Atmospheric sciences not elsewhere classified
- Agricultural hydrology
- Agricultural spatial analysis and modelling
- Agriculture, land and farm management not elsewhere classified
