Articles | Volume 22, issue 8
Hydrol. Earth Syst. Sci., 22, 4251–4266, 2018
https://doi.org/10.5194/hess-22-4251-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Hydrol. Earth Syst. Sci., 22, 4251–4266, 2018
https://doi.org/10.5194/hess-22-4251-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article 13 Aug 2018
Research article | 13 Aug 2018
Multi-source data assimilation for physically based hydrological modeling of an experimental hillslope
Anna Botto et al.
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Cited
12 citations as recorded by crossref.
- Inflation method for ensemble Kalman filter in soil hydrology H. Bauser et al. 10.5194/hess-22-4921-2018
- Real-time reservoir flood control operation enhanced by data assimilation J. Zhang et al. 10.1016/j.jhydrol.2021.126426
- Data assimilation with multiple types of observation boreholes via the ensemble Kalman filter embedded within stochastic moment equations C. Xia et al. 10.5194/hess-25-1689-2021
- Real-time simulation of surface water and groundwater with data assimilation X. He et al. 10.1016/j.advwatres.2019.03.004
- State updating of root zone soil moisture estimates of an unsaturated zone metamodel for operational water resources management M. Pezij et al. 10.1016/j.hydroa.2019.100040
- Evaluation of short-term streamflow prediction methods in Urban river basins X. Huang et al. 10.1016/j.pce.2021.103027
- <i>STH-net:</i> a soil monitoring network for process-based hydrological modelling from the pedon to the hillslope scale E. Martini et al. 10.5194/essd-13-2529-2021
- A dynamic data-driven method for dealing with model structural error in soil moisture data assimilation Q. Zhang et al. 10.1016/j.advwatres.2019.103407
- Improving soil moisture prediction of a high-resolution land surface model by parameterising pedotransfer functions through assimilation of SMAP satellite data E. Pinnington et al. 10.5194/hess-25-1617-2021
- Challenges with effective representations of heterogeneity in soil hydrology based on local water content measurements H. Bauser et al. 10.1002/vzj2.20040
- Iterative filter based estimation of fully 3D heterogeneous fields of permeability and Mualem-van Genuchten parameters A. Chaudhuri et al. 10.1016/j.advwatres.2018.10.023
- Covariance resampling for particle filter – state and parameter estimation for soil hydrology D. Berg et al. 10.5194/hess-23-1163-2019
12 citations as recorded by crossref.
- Inflation method for ensemble Kalman filter in soil hydrology H. Bauser et al. 10.5194/hess-22-4921-2018
- Real-time reservoir flood control operation enhanced by data assimilation J. Zhang et al. 10.1016/j.jhydrol.2021.126426
- Data assimilation with multiple types of observation boreholes via the ensemble Kalman filter embedded within stochastic moment equations C. Xia et al. 10.5194/hess-25-1689-2021
- Real-time simulation of surface water and groundwater with data assimilation X. He et al. 10.1016/j.advwatres.2019.03.004
- State updating of root zone soil moisture estimates of an unsaturated zone metamodel for operational water resources management M. Pezij et al. 10.1016/j.hydroa.2019.100040
- Evaluation of short-term streamflow prediction methods in Urban river basins X. Huang et al. 10.1016/j.pce.2021.103027
- <i>STH-net:</i> a soil monitoring network for process-based hydrological modelling from the pedon to the hillslope scale E. Martini et al. 10.5194/essd-13-2529-2021
- A dynamic data-driven method for dealing with model structural error in soil moisture data assimilation Q. Zhang et al. 10.1016/j.advwatres.2019.103407
- Improving soil moisture prediction of a high-resolution land surface model by parameterising pedotransfer functions through assimilation of SMAP satellite data E. Pinnington et al. 10.5194/hess-25-1617-2021
- Challenges with effective representations of heterogeneity in soil hydrology based on local water content measurements H. Bauser et al. 10.1002/vzj2.20040
- Iterative filter based estimation of fully 3D heterogeneous fields of permeability and Mualem-van Genuchten parameters A. Chaudhuri et al. 10.1016/j.advwatres.2018.10.023
- Covariance resampling for particle filter – state and parameter estimation for soil hydrology D. Berg et al. 10.5194/hess-23-1163-2019
Latest update: 17 Oct 2021
Short summary
We present a multivariate application of the ensemble Kalman filter (EnKF) in hydrological modeling of a real-world hillslope test case with dominant unsaturated dynamics and strong nonlinearities. Overall, the EnKF is able to correctly update system state and soil parameters. However, multivariate data assimilation may lead to significant tradeoffs between model predictions of different variables, if the observation data are not high quality or representative.
We present a multivariate application of the ensemble Kalman filter (EnKF) in hydrological...
