Articles | Volume 19, issue 6
Hydrol. Earth Syst. Sci., 19, 2911–2924, 2015
https://doi.org/10.5194/hess-19-2911-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Hydrol. Earth Syst. Sci., 19, 2911–2924, 2015
https://doi.org/10.5194/hess-19-2911-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
23 Jun 2015
Research article
| 23 Jun 2015
Operational aspects of asynchronous filtering for flood forecasting
O. Rakovec et al.
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Cited
23 citations as recorded by crossref.
- Variational assimilation of streamflow data in distributed flood forecasting G. Ercolani & F. Castelli 10.1002/2016WR019208
- Generating Ensemble Streamflow Forecasts: A Review of Methods and Approaches Over the Past 40 Years M. Troin et al. 10.1029/2020WR028392
- Parameter-state ensemble thinning for short-term hydrological prediction B. Davison et al. 10.5194/hess-23-741-2019
- Assessment of an ensemble-based data assimilation system for a shallow estuary M. Khanarmuei et al. 10.1016/j.ecss.2021.107389
- Assimilation of wide-swath altimetry water elevation anomalies to correct large-scale river routing model parameters C. Emery et al. 10.5194/hess-24-2207-2020
- genRE: A Method to Extend Gridded Precipitation Climatology Data Sets in Near Real-Time for Hydrological Forecasting Purposes B. van Osnabrugge et al. 10.1002/2017WR021201
- Moving horizon estimation for assimilating H-SAF remote sensing data into the HBV hydrological model R. Montero et al. 10.1016/j.advwatres.2016.04.011
- On the difficulty to optimally implement the Ensemble Kalman filter: An experiment based on many hydrological models and catchments A. Thiboult & F. Anctil 10.1016/j.jhydrol.2015.09.036
- Catchment tomography - An approach for spatial parameter estimation D. Baatz et al. 10.1016/j.advwatres.2017.06.006
- Real-time assimilation of streamflow observations into a hydrological routing model: effects of model structures and updating methods M. Mazzoleni et al. 10.1080/02626667.2018.1430898
- Can assimilation of crowdsourced data in hydrological modelling improve flood prediction? M. Mazzoleni et al. 10.5194/hess-21-839-2017
- Ensemble streamflow data assimilation using WRF-Hydro and DART: novel localization and inflation techniques applied to Hurricane Florence flooding M. El Gharamti et al. 10.5194/hess-25-5315-2021
- Parameter uncertainty and temporal dynamics of sensitivity for hydrologic models: A hybrid sequential data assimilation and probabilistic collocation method Y. Fan et al. 10.1016/j.envsoft.2016.09.012
- Optimization of rain gauge sampling density for river discharge prediction using Bayesian calibration A. Wadoux et al. 10.7717/peerj.9558
- High-resolution modeling and prediction of urban floods using WRF-Hydro and data assimilation S. Kim et al. 10.1016/j.jhydrol.2021.126236
- Sequential Data Assimilation for Streamflow Forecasting: Assessing the Sensitivity to Uncertainties and Updated Variables of a Conceptual Hydrological Model at Basin Scale G. Piazzi et al. 10.1029/2020WR028390
- The sensitivity of simulated streamflow to individual hydrologic processes across North America J. Mai et al. 10.1038/s41467-022-28010-7
- Operational hydrological forecasting during the IPHEx-IOP campaign – Meet the challenge J. Tao et al. 10.1016/j.jhydrol.2016.02.019
- A web based tool for operational real-time flood forecasting using data assimilation to update hydraulic states M. Mure-Ravaud et al. 10.1016/j.envsoft.2016.06.002
- Improving Forecast Skill of Lowland Hydrological Models Using Ensemble Kalman Filter and Unscented Kalman Filter Y. Sun et al. 10.1029/2020WR027468
- Remote sensing data assimilation A. Nair et al. 10.1080/02626667.2020.1761021
- Anticipatory Real-time Management in the Lake IJssel: Implementation and Practical Application J. Talsma et al. 10.1016/j.proeng.2016.07.418
- Review of the Kalman-type hydrological data assimilation L. Sun et al. 10.1080/02626667.2015.1127376
20 citations as recorded by crossref.
- Variational assimilation of streamflow data in distributed flood forecasting G. Ercolani & F. Castelli 10.1002/2016WR019208
- Generating Ensemble Streamflow Forecasts: A Review of Methods and Approaches Over the Past 40 Years M. Troin et al. 10.1029/2020WR028392
- Parameter-state ensemble thinning for short-term hydrological prediction B. Davison et al. 10.5194/hess-23-741-2019
- Assessment of an ensemble-based data assimilation system for a shallow estuary M. Khanarmuei et al. 10.1016/j.ecss.2021.107389
- Assimilation of wide-swath altimetry water elevation anomalies to correct large-scale river routing model parameters C. Emery et al. 10.5194/hess-24-2207-2020
- genRE: A Method to Extend Gridded Precipitation Climatology Data Sets in Near Real-Time for Hydrological Forecasting Purposes B. van Osnabrugge et al. 10.1002/2017WR021201
- Moving horizon estimation for assimilating H-SAF remote sensing data into the HBV hydrological model R. Montero et al. 10.1016/j.advwatres.2016.04.011
- On the difficulty to optimally implement the Ensemble Kalman filter: An experiment based on many hydrological models and catchments A. Thiboult & F. Anctil 10.1016/j.jhydrol.2015.09.036
- Catchment tomography - An approach for spatial parameter estimation D. Baatz et al. 10.1016/j.advwatres.2017.06.006
- Real-time assimilation of streamflow observations into a hydrological routing model: effects of model structures and updating methods M. Mazzoleni et al. 10.1080/02626667.2018.1430898
- Can assimilation of crowdsourced data in hydrological modelling improve flood prediction? M. Mazzoleni et al. 10.5194/hess-21-839-2017
- Ensemble streamflow data assimilation using WRF-Hydro and DART: novel localization and inflation techniques applied to Hurricane Florence flooding M. El Gharamti et al. 10.5194/hess-25-5315-2021
- Parameter uncertainty and temporal dynamics of sensitivity for hydrologic models: A hybrid sequential data assimilation and probabilistic collocation method Y. Fan et al. 10.1016/j.envsoft.2016.09.012
- Optimization of rain gauge sampling density for river discharge prediction using Bayesian calibration A. Wadoux et al. 10.7717/peerj.9558
- High-resolution modeling and prediction of urban floods using WRF-Hydro and data assimilation S. Kim et al. 10.1016/j.jhydrol.2021.126236
- Sequential Data Assimilation for Streamflow Forecasting: Assessing the Sensitivity to Uncertainties and Updated Variables of a Conceptual Hydrological Model at Basin Scale G. Piazzi et al. 10.1029/2020WR028390
- The sensitivity of simulated streamflow to individual hydrologic processes across North America J. Mai et al. 10.1038/s41467-022-28010-7
- Operational hydrological forecasting during the IPHEx-IOP campaign – Meet the challenge J. Tao et al. 10.1016/j.jhydrol.2016.02.019
- A web based tool for operational real-time flood forecasting using data assimilation to update hydraulic states M. Mure-Ravaud et al. 10.1016/j.envsoft.2016.06.002
- Improving Forecast Skill of Lowland Hydrological Models Using Ensemble Kalman Filter and Unscented Kalman Filter Y. Sun et al. 10.1029/2020WR027468
3 citations as recorded by crossref.
- Remote sensing data assimilation A. Nair et al. 10.1080/02626667.2020.1761021
- Anticipatory Real-time Management in the Lake IJssel: Implementation and Practical Application J. Talsma et al. 10.1016/j.proeng.2016.07.418
- Review of the Kalman-type hydrological data assimilation L. Sun et al. 10.1080/02626667.2015.1127376
Saved (final revised paper)
Latest update: 01 Jul 2022
Short summary
This is the first analysis of the asynchronous ensemble Kalman filter in hydrological forecasting. The results of discharge assimilation into a hydrological model for the catchment show that including past predictions and observations in the filter improves model forecasts. Additionally, we show that elimination of the strongly non-linear relation between soil moisture and assimilated discharge observations from the model update becomes beneficial for improved operational forecasting.
This is the first analysis of the asynchronous ensemble Kalman filter in hydrological...
