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

Title:

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

Creator:

Đukić, Vesna, Erić, Ranka, Dumbrovsky, Miroslav, and Sobotkova, Veronika

Identifier:

https://cdk.lib.cas.cz/client/handle/uuid:e828738f-98e2-428d-87a3-e836159ab8aa
uuid:e828738f-98e2-428d-87a3-e836159ab8aa
doi:10.2478/johh-2020-0038

Subject:

SHETRAN hydrological model, downscaled remotely sensed soil moisture, runoff and soil moisture validation, spatio-temporal variability of soil moisture, flash floods, and small catchment

Type:

model:article and TEXT

Format:

počítač and online zdroj

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 Jičinka River catchment (75.9 km2) 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.

Language:

Slovak

Rights:

http://creativecommons.org/publicdomain/mark/1.0/
policy:public

Coverage:

1-12

Source:

Journal of hydrology and hydromechanics | 2021 Volume:69 | Number:1

Harvested from:

CDK

Metadata only:

false