Evaluation of the METRIC and TSEB remote sensing evapotranspiration models in the floodplain area of the Thaya and Morava Rivers

0586975 - ÚVGZ 2025 RIV NL eng J - Journal Article
Ghisi, Tomáš - Fischer, Milan - Nieto, H. - Kowalska, Natalia - Jocher, Georg - Homolová, Lucie - Burchard-Levine, V. - Žalud, Zdeněk - Trnka, Miroslav
Evaluation of the METRIC and TSEB remote sensing evapotranspiration models in the floodplain area of the Thaya and Morava Rivers.
Journal of Hydrology: Regional Studies. Roč. 53, JUN (2024), č. článku 101785. E-ISSN 2214-5818
R&D Projects: GA MŠMT(CZ) EH22_008/0004635
Institutional support: RVO:86652079
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
OECD category: Water resources
Impact factor: 4.7, year: 2022
Method of publishing: Open access
https://www.sciencedirect.com/science/article/pii/S2214581824001332?via%3Dihub

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.
Permanent Link: https://hdl.handle.net/11104/0354316