Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Huerta, Adrian, Bonnesoeur, Vivien, Cuadros-Adriazola, José, Gutierrez, Leonardo, Ochoa-Tocachi, Boris F., Román-Dañobeytia, Francisco, Lavado-Casimiro, Waldo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9205949/
http://dx.doi.org/10.1038/s41597-022-01373-8
_version_ 1784729238199336960
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
work_keys_str_mv AT huertaadrian piscoeopmareferenceevapotranspirationgriddeddatabasebasedonfaopenmanmonteithinperu
AT bonnesoeurvivien piscoeopmareferenceevapotranspirationgriddeddatabasebasedonfaopenmanmonteithinperu
AT cuadrosadriazolajose piscoeopmareferenceevapotranspirationgriddeddatabasebasedonfaopenmanmonteithinperu
AT gutierrezleonardo piscoeopmareferenceevapotranspirationgriddeddatabasebasedonfaopenmanmonteithinperu
AT ochoatocachiborisf piscoeopmareferenceevapotranspirationgriddeddatabasebasedonfaopenmanmonteithinperu
AT romandanobeytiafrancisco piscoeopmareferenceevapotranspirationgriddeddatabasebasedonfaopenmanmonteithinperu
AT lavadocasimirowaldo piscoeopmareferenceevapotranspirationgriddeddatabasebasedonfaopenmanmonteithinperu