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Hydrology and Earth System Sciences An interactive open-access journal of the European Geosciences Union
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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.
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.

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 articles

Alvarez-Garreton, C., Ryu, D., Western, A., Crow, W., and Robertson, D.: The impacts of assimilating satellite soil moisture into a rainfall-runoff model in a semi-arid catchment, J. Hydrol., 519, 2763–2774, https://doi.org/10.1016/j.jhydrol.2014.07.041, 2014.
Blöschl, G., Reszler, C. R., and Komma, J.: A spatially distributed flash flood forecasting model, Environ. Model. Softw., 23, 464–478, 2008.
Booij, M.: Appropriate modelling of climate change impacts on river flooding, PhD thesis, University of Twente, Enschede, the Netherlands, 2002.
Brown, J. D. and Seo, D.-J.: Evaluation of a nonparametric post-processor for bias correction and uncertainty estimation of hydrologic predictions, Hydrol. Process., 27, 83–105, https://doi.org/10.1002/hyp.9263, 2013.
Brown, J. D., Demargne, J., Seo, D.-J., and Liu, Y.: The Ensemble Verification System (EVS): A software tool for verifying ensemble forecasts of hydrometeorological and hydrologic variables at discrete locations, Environ. Model. Softw., 25, 854–872, https://doi.org/10.1016/j.envsoft.2010.01.009, 2010.
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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...
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