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PISCOeo_pm, a reference evapotranspiration gridded database based on FAO Penman-Monteith in Peru
A new FAO Penman-Monteith reference evapotranspiration gridded dataset is introduced, called PISCOeo_pm. PISCOeo_pm has been developed for the 1981–2016 period at ~1 km (0.01°) spatial resolution for the entire continental Peruvian territory. The framework for the development of PISCOeo_pm is based...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9205949/ http://dx.doi.org/10.1038/s41597-022-01373-8 |
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author | Huerta, Adrian Bonnesoeur, Vivien Cuadros-Adriazola, José Gutierrez, Leonardo Ochoa-Tocachi, Boris F. Román-Dañobeytia, Francisco Lavado-Casimiro, Waldo |
author_facet | Huerta, Adrian Bonnesoeur, Vivien Cuadros-Adriazola, José Gutierrez, Leonardo Ochoa-Tocachi, Boris F. Román-Dañobeytia, Francisco Lavado-Casimiro, Waldo |
author_sort | Huerta, Adrian |
collection | PubMed |
description | A new FAO Penman-Monteith reference evapotranspiration gridded dataset is introduced, called PISCOeo_pm. PISCOeo_pm has been developed for the 1981–2016 period at ~1 km (0.01°) spatial resolution for the entire continental Peruvian territory. The framework for the development of PISCOeo_pm is based on previously generated gridded data of meteorological subvariables such as air temperature (maximum and minimum), sunshine duration, dew point temperature, and wind speed. Different steps, i.e., (i) quality control, (ii) gap-filling, (iii) homogenization, and (iv) spatial interpolation, were applied to the subvariables. Based on the results of an independent validation, on average, PISCOeo_pm exhibits better precision than three existing gridded products (CRU_TS, TerraClimate, and ERA5-Land) because it presents a predictive capacity above the average observed using daily and monthly data and has a higher spatial resolution. Therefore, PISCOeo_pm is useful for better understanding the terrestrial water and energy balances in Peru as well as for its application in fields such as climatology, hydrology, and agronomy, among others. |
format | Online Article Text |
id | pubmed-9205949 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-92059492022-06-19 PISCOeo_pm, a reference evapotranspiration gridded database based on FAO Penman-Monteith in Peru Huerta, Adrian Bonnesoeur, Vivien Cuadros-Adriazola, José Gutierrez, Leonardo Ochoa-Tocachi, Boris F. Román-Dañobeytia, Francisco Lavado-Casimiro, Waldo Sci Data Data Descriptor A new FAO Penman-Monteith reference evapotranspiration gridded dataset is introduced, called PISCOeo_pm. PISCOeo_pm has been developed for the 1981–2016 period at ~1 km (0.01°) spatial resolution for the entire continental Peruvian territory. The framework for the development of PISCOeo_pm is based on previously generated gridded data of meteorological subvariables such as air temperature (maximum and minimum), sunshine duration, dew point temperature, and wind speed. Different steps, i.e., (i) quality control, (ii) gap-filling, (iii) homogenization, and (iv) spatial interpolation, were applied to the subvariables. Based on the results of an independent validation, on average, PISCOeo_pm exhibits better precision than three existing gridded products (CRU_TS, TerraClimate, and ERA5-Land) because it presents a predictive capacity above the average observed using daily and monthly data and has a higher spatial resolution. Therefore, PISCOeo_pm is useful for better understanding the terrestrial water and energy balances in Peru as well as for its application in fields such as climatology, hydrology, and agronomy, among others. Nature Publishing Group UK 2022-06-17 /pmc/articles/PMC9205949/ http://dx.doi.org/10.1038/s41597-022-01373-8 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 Huerta, Adrian Bonnesoeur, Vivien Cuadros-Adriazola, José Gutierrez, Leonardo Ochoa-Tocachi, Boris F. Román-Dañobeytia, Francisco Lavado-Casimiro, Waldo PISCOeo_pm, a reference evapotranspiration gridded database based on FAO Penman-Monteith in Peru |
title | PISCOeo_pm, a reference evapotranspiration gridded database based on FAO Penman-Monteith in Peru |
title_full | PISCOeo_pm, a reference evapotranspiration gridded database based on FAO Penman-Monteith in Peru |
title_fullStr | PISCOeo_pm, a reference evapotranspiration gridded database based on FAO Penman-Monteith in Peru |
title_full_unstemmed | PISCOeo_pm, a reference evapotranspiration gridded database based on FAO Penman-Monteith in Peru |
title_short | PISCOeo_pm, a reference evapotranspiration gridded database based on FAO Penman-Monteith in Peru |
title_sort | piscoeo_pm, a reference evapotranspiration gridded database based on fao penman-monteith in peru |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9205949/ http://dx.doi.org/10.1038/s41597-022-01373-8 |
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