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Spatio-temporal analysis of remotely sensed and hydrological model soil moisture in the small Jicinka River catchment in Czech Republic

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26110%2F21%3APU141062" target="_blank" >RIV/00216305:26110/21:PU141062 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.sciendo.com/article/10.2478/johh-2020-0038" target="_blank" >https://www.sciendo.com/article/10.2478/johh-2020-0038</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.2478/johh-2020-0038" target="_blank" >10.2478/johh-2020-0038</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Spatio-temporal analysis of remotely sensed and hydrological model soil moisture in the small Jicinka River catchment in Czech Republic

  • Original language description

    The knowledge of spatio-temporal dynamics of soil moisture within the catchment is very important for rainfall-runoff modelling in flood forecasting In this study the comparison between remotely sensed soil moisture and soil moisture estimated from the SHETRAN hydrological model was performed for small and flashy Jieinka River catchment (75.9 km(2)) in the Czech Republic. Due to a relatively coarse spatial resolution of satellite data, the satellite soil moisture data were downscaled, by applying the method developed by Qu et al. (2015). The sub-grid variability of soil moisture was estimated on the basis of the mean soil moisture for the grid cell and the known hydraulic soil properties. The SHETRAN model was calibrated and verified to the observed streamflow hydrographs at the catchment outlet. The good correlation between the two different soil moisture information was obtained according to the majority of applied criteria. The results of the evaluation criteria indicate that the downscaled remotely sensed soil moisture data can be used as additional criteria for the calibration and validation of hydrological models for small catchments and can contribute to a better estimation of parameters, to reduce uncertainties of hydrological models and improve runoff simulations.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10501 - Hydrology

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2021

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Journal of Hydrology and Hydromechanics

  • ISSN

    0042-790X

  • e-ISSN

    1338-4333

  • Volume of the periodical

    69

  • Issue of the periodical within the volume

    1

  • Country of publishing house

    SK - SLOVAKIA

  • Number of pages

    12

  • Pages from-to

    1-12

  • UT code for WoS article

    000625306300001

  • EID of the result in the Scopus database

    2-s2.0-85100685141