Literature DB >> 35715435

PISCOeo_pm, a reference evapotranspiration gridded database based on FAO Penman-Monteith in Peru.

Adrian Huerta1, Vivien Bonnesoeur2,3, José Cuadros-Adriazola2,3,4, Leonardo Gutierrez5, Boris F Ochoa-Tocachi3,4,6,7, Francisco Román-Dañobeytia2,3, Waldo Lavado-Casimiro5.   

Abstract

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.
© 2022. The Author(s).

Entities:  

Year:  2022        PMID: 35715435     DOI: 10.1038/s41597-022-01373-8

Source DB:  PubMed          Journal:  Sci Data        ISSN: 2052-4463            Impact factor:   6.444


  1 in total

1.  Remotely Sensed High-Resolution Global Cloud Dynamics for Predicting Ecosystem and Biodiversity Distributions.

Authors:  Adam M Wilson; Walter Jetz
Journal:  PLoS Biol       Date:  2016-03-31       Impact factor: 8.029

  1 in total

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