Evaluation of the METRIC and TSEB remote sensing evapotranspiration models in the floodplain area of the Thaya and Morava Rivers
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F86652079%3A_____%2F24%3A00586975" target="_blank" >RIV/86652079:_____/24:00586975 - isvavai.cz</a>
Nalezeny alternativní kódy
RIV/62156489:43210/24:43925127
Výsledek na webu
<a href="https://www.sciencedirect.com/science/article/pii/S2214581824001332?via%3Dihub" target="_blank" >https://www.sciencedirect.com/science/article/pii/S2214581824001332?via%3Dihub</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.ejrh.2024.101785" target="_blank" >10.1016/j.ejrh.2024.101785</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Evaluation of the METRIC and TSEB remote sensing evapotranspiration models in the floodplain area of the Thaya and Morava Rivers
Popis výsledku v původním jazyce
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.
Název v anglickém jazyce
Evaluation of the METRIC and TSEB remote sensing evapotranspiration models in the floodplain area of the Thaya and Morava Rivers
Popis výsledku anglicky
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.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
10503 - Water resources
Návaznosti výsledku
Projekt
<a href="/cs/project/EH22_008%2F0004635" target="_blank" >EH22_008/0004635: AdAgriF - Pokročilé metody redukce emisí a sekvestrace skleníkových plynů v zemědělské a lesní krajině pro mitigaci změny klimatu</a><br>
Návaznosti
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Ostatní
Rok uplatnění
2024
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Journal of Hydrology: Regional Studies
ISSN
2214-5818
e-ISSN
2214-5818
Svazek periodika
53
Číslo periodika v rámci svazku
JUN
Stát vydavatele periodika
NL - Nizozemsko
Počet stran výsledku
24
Strana od-do
101785
Kód UT WoS článku
001240366700001
EID výsledku v databázi Scopus
2-s2.0-85192337045