Improving the evapotranspiration estimation by coupling soil moisture and atmospheric variables in the relative evapotranspiration parameterization

Accurate monthly evapotranspiration (ET) estimation is essential for many forest, climate, and hydrological applications, as well as for some agricultural uses. In this study, the relationship between ET and relative evapotranspiration (F) using land surface, and atmospheric variables was assessed w...

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Main Authors: Elisabet Walker, Virginia Venturini
Format: Article
Language:English
Published: Universitat Politècnica de València 2024-01-01
Series:Revista de Teledetección
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Online Access:https://polipapers.upv.es/index.php/raet/article/view/20158
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author Elisabet Walker
Virginia Venturini
author_facet Elisabet Walker
Virginia Venturini
author_sort Elisabet Walker
collection DOAJ
description Accurate monthly evapotranspiration (ET) estimation is essential for many forest, climate, and hydrological applications, as well as for some agricultural uses. In this study, the relationship between ET and relative evapotranspiration (F) using land surface, and atmospheric variables was assessed with 17 FLUXNET sites data in savanna, cropland, and forest land covers, distributed all over the world. A sigmoid (Fs) and a logarithmic (Fl) F expression were included in Walker et al.’s (2019a,b) equations to evaluate their impact on the accuracy of ET estimations. The new parameterizations of ET outperformed the original expression, showing root mean square errors lower than 24% of the mean observed ET. The results presented here suggest that atmospheric parameters, coupled with land explanatory variables included in F estimates, produce more precise ET estimations. In addition, Soil Moisture Active Passive (SMAP) products were used to obtain global maps of ET and compared with Global Landsurface Evaporation Amsterdam Methodology (GLEAM) and Terra Moderate Resolution Imaging Spectroradiometer (MODIS) MOD16 products, displaying the flexibility of these new parametrizations with different sources of data.
format Article
id doaj-art-2356bbd806734644ad5a253f357b9620
institution Kabale University
issn 1133-0953
1988-8740
language English
publishDate 2024-01-01
publisher Universitat Politècnica de València
record_format Article
series Revista de Teledetección
spelling doaj-art-2356bbd806734644ad5a253f357b96202025-02-03T10:22:33ZengUniversitat Politècnica de ValènciaRevista de Teledetección1133-09531988-87402024-01-0163657710.4995/raet.2024.2015819351Improving the evapotranspiration estimation by coupling soil moisture and atmospheric variables in the relative evapotranspiration parameterizationElisabet Walker0https://orcid.org/0000-0002-4287-4828Virginia Venturini1https://orcid.org/0000-0003-3040-9918National University of the Littoral Consejo Nacional de Investigaciones Científicas y Técnicas Accurate monthly evapotranspiration (ET) estimation is essential for many forest, climate, and hydrological applications, as well as for some agricultural uses. In this study, the relationship between ET and relative evapotranspiration (F) using land surface, and atmospheric variables was assessed with 17 FLUXNET sites data in savanna, cropland, and forest land covers, distributed all over the world. A sigmoid (Fs) and a logarithmic (Fl) F expression were included in Walker et al.’s (2019a,b) equations to evaluate their impact on the accuracy of ET estimations. The new parameterizations of ET outperformed the original expression, showing root mean square errors lower than 24% of the mean observed ET. The results presented here suggest that atmospheric parameters, coupled with land explanatory variables included in F estimates, produce more precise ET estimations. In addition, Soil Moisture Active Passive (SMAP) products were used to obtain global maps of ET and compared with Global Landsurface Evaporation Amsterdam Methodology (GLEAM) and Terra Moderate Resolution Imaging Spectroradiometer (MODIS) MOD16 products, displaying the flexibility of these new parametrizations with different sources of data.https://polipapers.upv.es/index.php/raet/article/view/20158evapotranspirationland coversatmospheric variablessoil moisturerelative evapotranspiration
spellingShingle Elisabet Walker
Virginia Venturini
Improving the evapotranspiration estimation by coupling soil moisture and atmospheric variables in the relative evapotranspiration parameterization
Revista de Teledetección
evapotranspiration
land covers
atmospheric variables
soil moisture
relative evapotranspiration
title Improving the evapotranspiration estimation by coupling soil moisture and atmospheric variables in the relative evapotranspiration parameterization
title_full Improving the evapotranspiration estimation by coupling soil moisture and atmospheric variables in the relative evapotranspiration parameterization
title_fullStr Improving the evapotranspiration estimation by coupling soil moisture and atmospheric variables in the relative evapotranspiration parameterization
title_full_unstemmed Improving the evapotranspiration estimation by coupling soil moisture and atmospheric variables in the relative evapotranspiration parameterization
title_short Improving the evapotranspiration estimation by coupling soil moisture and atmospheric variables in the relative evapotranspiration parameterization
title_sort improving the evapotranspiration estimation by coupling soil moisture and atmospheric variables in the relative evapotranspiration parameterization
topic evapotranspiration
land covers
atmospheric variables
soil moisture
relative evapotranspiration
url https://polipapers.upv.es/index.php/raet/article/view/20158
work_keys_str_mv AT elisabetwalker improvingtheevapotranspirationestimationbycouplingsoilmoistureandatmosphericvariablesintherelativeevapotranspirationparameterization
AT virginiaventurini improvingtheevapotranspirationestimationbycouplingsoilmoistureandatmosphericvariablesintherelativeevapotranspirationparameterization