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  • 标题:PISCOeo_pm, a reference evapotranspiration gridded database based on FAO Penman-Monteith in Peru
  • 本地全文:下载
  • 作者:adrian Huerta ; Vivien Bonnesoeur ; José Cuadros-adriazola
  • 期刊名称:Scientific Data
  • 电子版ISSN:2052-4463
  • 出版年度:2022
  • 卷号:9
  • 期号:1
  • 页码:1-18
  • DOI:10.1038/s41597-022-01373-8
  • 语种:English
  • 出版社:Nature Publishing Group
  • 摘要: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 . Diferent steps, i .e ., (i) quality control, (ii) gap-flling, (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 felds such as climatology, hydrology, and agronomy, among others.
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