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Version 3 of the Global Aridity Index and Potential Evapotranspiration Database
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(0)) equation. An overv...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9287331/ https://www.ncbi.nlm.nih.gov/pubmed/35840601 http://dx.doi.org/10.1038/s41597-022-01493-1 |
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author | Zomer, Robert J. Xu, Jianchu Trabucco, Antonio |
author_facet | Zomer, Robert J. Xu, Jianchu Trabucco, Antonio |
author_sort | Zomer, Robert J. |
collection | PubMed |
description | 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(0)) 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(0): r(2) = 0.85; AI: r(2) = 0.90) and the U.K. “Climate Research Unit: Time Series v 4.04” (ET(0): r(2) = 0.89; AI: r(2) = 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(0), 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. |
format | Online Article Text |
id | pubmed-9287331 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-92873312022-07-17 Version 3 of the Global Aridity Index and Potential Evapotranspiration Database Zomer, Robert J. Xu, Jianchu Trabucco, Antonio Sci Data Data Descriptor 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(0)) 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(0): r(2) = 0.85; AI: r(2) = 0.90) and the U.K. “Climate Research Unit: Time Series v 4.04” (ET(0): r(2) = 0.89; AI: r(2) = 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(0), 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. Nature Publishing Group UK 2022-07-15 /pmc/articles/PMC9287331/ /pubmed/35840601 http://dx.doi.org/10.1038/s41597-022-01493-1 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Data Descriptor Zomer, Robert J. Xu, Jianchu Trabucco, Antonio Version 3 of the Global Aridity Index and Potential Evapotranspiration Database |
title | Version 3 of the Global Aridity Index and Potential Evapotranspiration Database |
title_full | Version 3 of the Global Aridity Index and Potential Evapotranspiration Database |
title_fullStr | Version 3 of the Global Aridity Index and Potential Evapotranspiration Database |
title_full_unstemmed | Version 3 of the Global Aridity Index and Potential Evapotranspiration Database |
title_short | Version 3 of the Global Aridity Index and Potential Evapotranspiration Database |
title_sort | version 3 of the global aridity index and potential evapotranspiration database |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9287331/ https://www.ncbi.nlm.nih.gov/pubmed/35840601 http://dx.doi.org/10.1038/s41597-022-01493-1 |
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