Number of the records: 1  

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

  1. 1.
    0597798 - ÚVGZ DATA Scientific data      2024
    Ghisi, Tomáš

    Evaluation of the METRIC and TSEB remote sensing evapotranspiration models in the floodplain area of the Thaya and Morava Rivers.
    Version 1      There is a newer version of the dataset

    Description: The attached file contains 7 graphs related to the study:
    Study region: Floodplain ecosystem region at the confluence of the Morava and Thaya Rivers, the Czech Republic.
    Study focus: Accurate determination of actual evapotranspiration (ETa) is essential for understanding surface hydrological conditions. The aim of this study was to evaluate two remote sensing models, METRIC and TSEB, for estimating ETa 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 ETa across the region. Compared with the METRIC, which had a mean bias error (MBE) = 0.12 mm/day, the TSEB better detected ETa in the forest test site (MBETSEB = -0.03 mm/day). In contrast, the METRIC improved detection of ETa (MBEMETRIC = -0.03 mm/day) in grassland test site, where the TSEB overestimate daily ETa (MBETSEB = 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, the selected spatial outputs indicate some disagreement among them in terms of the spatial patterns of ETa. 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 balance-based diagnostic models for studying hydrological processes in a spatially distributed manner.
    This deposit contains 6 .xlsx files.


    Keywords : Eddy covariance * Evapotranspiration * Remote sensing models
    R&D Projects: GA MŠMT(CZ) EH22_008/0004635
    Institutional support: RVO:86652079
    OECD category: Hydrology
    DOI: https://doi.org/10.57680/asep.0597798
    Handle: https://hdl.handle.net/11104/0355628
    Depositor: Ghisi, Tomáš
    Date of release: 2.9.2024

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

     
         License: CC BY-SA 4.0 - Attribution-ShareAlike-International license
     
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    ResearchGateopen-access
    Version number Description of change SubmitterPublished
    Version 2Přidány výstupy z dostupných modelů (TSEB, METRIC) a měření vířivé kovariance pro konkrétní ekosystémy (travní porosty, les) v období 2015-2021. Tyto soubory obsahují údaje o energetické bilanci a evapotranspiraci, včetně Bowenova poměru a podílu výparu odvozeného z měření vířivé kovariance. Dále výstupy z naměřené denní údaje o evapotranspiraci na základě vířivé kovariance a interpolované denní modelové údaje pro období 2015-2021 v ekosystémech pastviny a les. Tyto soubory jsou doplněny přímo dostupnými údaji o evapotranspiraci při jasném nebi z modelů TSEB a METRIC. Doplněn popis a příloha.2 4.12.2024
    Version 1Ghisi, Tomáš 2.9.2024
    R&D Projects: GA MŠMT(CZ) EH22_008/0004635
    Institutional support: RVO:86652079
    DateTagBefore changeAfter change
    3.12.2024Description of the datasetThe attached file contains 7 graphs related to the study:
    Study region: Floodplain ecosystem region at the confluence of the Morava and Thaya Rivers, the Czech Republic.
    Study focus: Accurate determination of actual evapotranspiration (ETa) is essential for understanding surface hydrological conditions. The aim of this study was to evaluate two remote sensing models, METRIC and TSEB, for estimating ETa 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 ETa across the region. Compared with the METRIC, which had a mean bias error (MBE) = 0.12 mm/day, the TSEB better detected ETa in the forest test site (MBETSEB = -0.03 mm/day). In contrast, the METRIC improved detection of ETa (MBEMETRIC = -0.03 mm/day) in grassland test site, where the TSEB overestimate daily ETa (MBETSEB = 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, the selected spatial outputs indicate some disagreement among them in terms of the spatial patterns of ETa. 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 balance-based diagnostic models for studying hydrological processes in a spatially distributed manner.
    This deposit contains 6 .xlsx files.
    Files 1–4 represent a combination of outputs from available models (TSEB, METRIC) and eddy covariance measurements for specific ecosystems (grassland, forest) during the period 2015–2021. These files contain energy balance and evapotranspiration data, including the Bowen ratio and evaporation fraction derived from eddy covariance measurements.

    Files 5 and 6 contain measured daily eddy covariance evapotranspiration data and interpolated daily model data for the period 2015–2021 in grassland and forest ecosystems. These files are supplemented with directly available clear-sky evapotranspiration data from the TSEB and METRIC models.
    		The attached file contains 7 graphs related to the study:
    Study region: Floodplain ecosystem region at the confluence of the Morava and Thaya Rivers, the Czech Republic.
    Study focus: Accurate determination of actual evapotranspiration (ETa) is essential for understanding surface hydrological conditions. The aim of this study was to evaluate two remote sensing models, METRIC and TSEB, for estimating ETa 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 ETa across the region. Compared with the METRIC, which had a mean bias error (MBE) = 0.12 mm/day, the TSEB better detected ETa in the forest test site (MBETSEB = -0.03 mm/day). In contrast, the METRIC improved detection of ETa (MBEMETRIC = -0.03 mm/day) in grassland test site, where the TSEB overestimate daily ETa (MBETSEB = 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, the selected spatial outputs indicate some disagreement among them in terms of the spatial patterns of ETa. 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 balance-based diagnostic models for studying hydrological processes in a spatially distributed manner.
    This deposit contains 6 .xlsx files.

    3.12.2024Description of the datasetThe attached file contains 7 graphs related to the study:
    Study region: Floodplain ecosystem region at the confluence of the Morava and Thaya Rivers, the Czech Republic.
    Study focus: Accurate determination of actual evapotranspiration (ETa) is essential for understanding surface hydrological conditions. The aim of this study was to evaluate two remote sensing models, METRIC and TSEB, for estimating ETa 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 ETa across the region. Compared with the METRIC, which had a mean bias error (MBE) = 0.12 mm/day, the TSEB better detected ETa in the forest test site (MBETSEB = -0.03 mm/day). In contrast, the METRIC improved detection of ETa (MBEMETRIC = -0.03 mm/day) in grassland test site, where the TSEB overestimate daily ETa (MBETSEB = 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, the selected spatial outputs indicate some disagreement among them in terms of the spatial patterns of ETa. 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 balance-based diagnostic models for studying hydrological processes in a spatially distributed manner.
    		The attached file contains 7 graphs related to the study:
    Study region: Floodplain ecosystem region at the confluence of the Morava and Thaya Rivers, the Czech Republic.
    Study focus: Accurate determination of actual evapotranspiration (ETa) is essential for understanding surface hydrological conditions. The aim of this study was to evaluate two remote sensing models, METRIC and TSEB, for estimating ETa 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 ETa across the region. Compared with the METRIC, which had a mean bias error (MBE) = 0.12 mm/day, the TSEB better detected ETa in the forest test site (MBETSEB = -0.03 mm/day). In contrast, the METRIC improved detection of ETa (MBEMETRIC = -0.03 mm/day) in grassland test site, where the TSEB overestimate daily ETa (MBETSEB = 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, the selected spatial outputs indicate some disagreement among them in terms of the spatial patterns of ETa. 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 balance-based diagnostic models for studying hydrological processes in a spatially distributed manner.
    This deposit contains 6 .xlsx files.
    Files 1–4 represent a combination of outputs from available models (TSEB, METRIC) and eddy covariance measurements for specific ecosystems (grassland, forest) during the period 2015–2021. These files contain energy balance and evapotranspiration data, including the Bowen ratio and evaporation fraction derived from eddy covariance measurements.

    Files 5 and 6 contain measured daily eddy covariance evapotranspiration data and interpolated daily model data for the period 2015–2021 in grassland and forest ecosystems. These files are supplemented with directly available clear-sky evapotranspiration data from the TSEB and METRIC models.
    11.9.2024Description of the datasetA set of point charts and site maps:
    Study region: Floodplain ecosystem region at the confluence of the Morava and Thaya Rivers, the Czech Republic.
    Study focus: Accurate determination of actual evapotranspiration (ETa) is essential for understanding surface hydrological conditions. The aim of this study was to evaluate two remote sensing models, METRIC and TSEB, for estimating ETa 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 ETa across the region. Compared with the METRIC, which had a mean bias error (MBE) = 0.12 mm/day, the TSEB better detected ETa in the forest test site (MBETSEB = -0.03 mm/day). In contrast, the METRIC improved detection of ETa (MBEMETRIC = -0.03 mm/day) in grassland test site, where the TSEB overestimate daily ETa (MBETSEB = 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, the selected spatial outputs indicate some disagreement among them in terms of the spatial patterns of ETa. 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 balance-based diagnostic models for studying hydrological processes in a spatially distributed manner.
    		The attached file contains 7 graphs related to the study:
    Study region: Floodplain ecosystem region at the confluence of the Morava and Thaya Rivers, the Czech Republic.
    Study focus: Accurate determination of actual evapotranspiration (ETa) is essential for understanding surface hydrological conditions. The aim of this study was to evaluate two remote sensing models, METRIC and TSEB, for estimating ETa 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 ETa across the region. Compared with the METRIC, which had a mean bias error (MBE) = 0.12 mm/day, the TSEB better detected ETa in the forest test site (MBETSEB = -0.03 mm/day). In contrast, the METRIC improved detection of ETa (MBEMETRIC = -0.03 mm/day) in grassland test site, where the TSEB overestimate daily ETa (MBETSEB = 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, the selected spatial outputs indicate some disagreement among them in terms of the spatial patterns of ETa. 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 balance-based diagnostic models for studying hydrological processes in a spatially distributed manner.
    11.9.2024Description of the datasetStudy region: Floodplain ecosystem region at the confluence of the Morava and Thaya Rivers, the Czech Republic.
    Study focus: Accurate determination of actual evapotranspiration (ETa) is essential for understanding surface hydrological conditions. The aim of this study was to evaluate two remote sensing models, METRIC and TSEB, for estimating ETa 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 ETa across the region. Compared with the METRIC, which had a mean bias error (MBE) = 0.12 mm/day, the TSEB better detected ETa in the forest test site (MBETSEB = -0.03 mm/day). In contrast, the METRIC improved detection of ETa (MBEMETRIC = -0.03 mm/day) in grassland test site, where the TSEB overestimate daily ETa (MBETSEB = 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, the selected spatial outputs indicate some disagreement among them in terms of the spatial patterns of ETa. 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 balance-based diagnostic models for studying hydrological processes in a spatially distributed manner.
    		A set of point charts and site maps:
    Study region: Floodplain ecosystem region at the confluence of the Morava and Thaya Rivers, the Czech Republic.
    Study focus: Accurate determination of actual evapotranspiration (ETa) is essential for understanding surface hydrological conditions. The aim of this study was to evaluate two remote sensing models, METRIC and TSEB, for estimating ETa 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 ETa across the region. Compared with the METRIC, which had a mean bias error (MBE) = 0.12 mm/day, the TSEB better detected ETa in the forest test site (MBETSEB = -0.03 mm/day). In contrast, the METRIC improved detection of ETa (MBEMETRIC = -0.03 mm/day) in grassland test site, where the TSEB overestimate daily ETa (MBETSEB = 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, the selected spatial outputs indicate some disagreement among them in terms of the spatial patterns of ETa. 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 balance-based diagnostic models for studying hydrological processes in a spatially distributed manner.
Number of the records: 1  

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