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Evaluation of the METRIC and TSEB remote sensing evapotranspiration models in the floodplain area of the Thaya and Morava Rivers
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SYSNO ASEP 0586975 Document Type J - Journal Article R&D Document Type Journal Article Subsidiary J Článek ve WOS Title Evaluation of the METRIC and TSEB remote sensing evapotranspiration models in the floodplain area of the Thaya and Morava Rivers Author(s) Ghisi, Tomáš (UEK-B) SAI, RID, ORCID
Fischer, Milan (UEK-B) RID, ORCID, SAI
Nieto, H. (ES)
Kowalska, Natalia (UEK-B) SAI, ORCID, RID
Jocher, Georg (UEK-B) SAI, ORCID, RID
Homolová, Lucie (UEK-B) RID, ORCID, SAI
Burchard-Levine, V. (ES)
Žalud, Zdeněk (UEK-B) RID, ORCID, SAI
Trnka, Miroslav (UEK-B) RID, ORCID, SAIArticle number 101785 Source Title Journal of Hydrology: Regional Studies. - : Elsevier
Roč. 53, JUN (2024)Number of pages 24 s. Language eng - English Country NL - Netherlands Keywords net ecosystem exchange ; surface-energy fluxes ; high-resolution ; balance ; evaporation ; algorithm ; impact ; soil ; uncertainty ; variability ; Eddy covariance ; Evapotranspiration ; Floodplain ecosystem ; Remote sensing models ; Water balance Subject RIV EH - Ecology, Behaviour OECD category Water resources R&D Projects EH22_008/0004635 GA MŠMT - Ministry of Education, Youth and Sports (MEYS) Method of publishing Open access Institutional support UEK-B - RVO:86652079 UT WOS 001240366700001 EID SCOPUS 85192337045 DOI https://doi.org/10.1016/j.ejrh.2024.101785 Annotation Study region: Floodplain ecosystem region at the confluence of the Morava and Thaya Rivers, the Czech Republic. Study focus: Accurate determination of actual evapotranspiration (ET a ) is essential for understanding surface hydrological conditions. The aim of this study was to evaluate two remote sensing models, METRIC and TSEB, for estimating ET a and energy fluxes in two ecosystems using the eddy covariance (EC) as a reference. New hydrological insights for the region: Both models demonstrate the ability to quantify ET a across the region. Compared with the METRIC, which had a mean bias error (MBE) = 0.12 mm/day, the TSEB better detected ET a in the forest test site (MBE TSEB =0.03 mm/day). In contrast, the METRIC improved detection of ET a (MBE METRIC =0.03 mm/day) in grassland test site, where the TSEB overestimate daily ET a (MBE TSEB = 0.52 mm/day). The models and EC indicate similar seasonal dynamics of the evaporative fraction and Bowen ratio throughout the growing season. Despite the overall agreement between the models and EC, selected spatial outputs indicate some disagreement among them in terms of the spatial patterns of ET a . This disagreement is related to the sensitivity of TSEB to canopy height/roughness, as well as the a priori Priestley Taylor coefficient in forests. Despite these shortcomings, this study highlights the applicability of remote sensing energy balancebased diagnostic models for studying hydrological processes in a spatially distributed manner. Workplace Global Change Research Institute Contact Nikola Šviková, svikova.n@czechglobe.cz, Tel.: 511 192 268 Year of Publishing 2025
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