Articles | Volume 19, issue 6
Hydrol. Earth Syst. Sci., 19, 2911–2924, 2015
https://doi.org/10.5194/hess-19-2911-2015
Hydrol. Earth Syst. Sci., 19, 2911–2924, 2015
https://doi.org/10.5194/hess-19-2911-2015
Research article
23 Jun 2015
Research article | 23 Jun 2015

Operational aspects of asynchronous filtering for flood forecasting

O. Rakovec et al.

Related authors

Developing a Parsimonious Canopy Model (PCM v1.0) to Predict Forest Gross Primary Productivity and Leaf Area Index
Bahar Bahrami, Anke Hildebrandt, Stephan Thober, Corinna Rebmann, Rico Fischer, Luis Samaniego, Oldrich Rakovec, and Rohini Kumar
Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2022-87,https://doi.org/10.5194/gmd-2022-87, 2022
Preprint under review for GMD
Short summary
A 500-year runoff reconstruction for European catchments
Sadaf Nasreen, Markéta Součková, Mijael Rodrigo Vargas Godoy, Ujjwal Singh, Yannis Markonis, Rohini Kumar, Oldrich Rakovec, and Martin Hanel
Earth Syst. Sci. Data Discuss., https://doi.org/10.5194/essd-2021-282,https://doi.org/10.5194/essd-2021-282, 2021
Revised manuscript under review for ESSD
Short summary
High-resolution drought simulations and comparison to soil moisture observations in Germany
Friedrich Boeing, Oldrich Rakovech, Rohini Kumar, Luis Samaniego, Martin Schrön, Anke Hildebrandt, Corinna Rebmann, Stephan Thober, Sebastian Müller, Steffen Zacharias, Heye Bogena, Katrin Schneider, Ralf Kiese, and Andreas Marx
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2021-402,https://doi.org/10.5194/hess-2021-402, 2021
Revised manuscript under review for HESS
Short summary
Understanding each other's models: an introduction and a standard representation of 16 global water models to support intercomparison, improvement, and communication
Camelia-Eliza Telteu, Hannes Müller Schmied, Wim Thiery, Guoyong Leng, Peter Burek, Xingcai Liu, Julien Eric Stanislas Boulange, Lauren Seaby Andersen, Manolis Grillakis, Simon Newland Gosling, Yusuke Satoh, Oldrich Rakovec, Tobias Stacke, Jinfeng Chang, Niko Wanders, Harsh Lovekumar Shah, Tim Trautmann, Ganquan Mao, Naota Hanasaki, Aristeidis Koutroulis, Yadu Pokhrel, Luis Samaniego, Yoshihide Wada, Vimal Mishra, Junguo Liu, Petra Döll, Fang Zhao, Anne Gädeke, Sam S. Rabin, and Florian Herz
Geosci. Model Dev., 14, 3843–3878, https://doi.org/10.5194/gmd-14-3843-2021,https://doi.org/10.5194/gmd-14-3843-2021, 2021
Short summary
Projected changes in Rhine River flood seasonality under global warming
Erwin Rottler, Axel Bronstert, Gerd Bürger, and Oldrich Rakovec
Hydrol. Earth Syst. Sci., 25, 2353–2371, https://doi.org/10.5194/hess-25-2353-2021,https://doi.org/10.5194/hess-25-2353-2021, 2021
Short summary

Related subject area

Subject: Water Resources Management | Techniques and Approaches: Modelling approaches
The role of multi-criteria decision analysis in a transdisciplinary process: co-developing a flood forecasting system in western Africa
Judit Lienert, Jafet C. M. Andersson, Daniel Hofmann, Francisco Silva Pinto, and Martijn Kuller
Hydrol. Earth Syst. Sci., 26, 2899–2922, https://doi.org/10.5194/hess-26-2899-2022,https://doi.org/10.5194/hess-26-2899-2022, 2022
Short summary
Unfolding the relationship between seasonal forecast skill and value in hydropower production: a global analysis
Donghoon Lee, Jia Yi Ng, Stefano Galelli, and Paul Block
Hydrol. Earth Syst. Sci., 26, 2431–2448, https://doi.org/10.5194/hess-26-2431-2022,https://doi.org/10.5194/hess-26-2431-2022, 2022
Short summary
Drought impact links to meteorological drought indicators and predictability in Spain
Herminia Torelló-Sentelles and Christian L. E. Franzke
Hydrol. Earth Syst. Sci., 26, 1821–1844, https://doi.org/10.5194/hess-26-1821-2022,https://doi.org/10.5194/hess-26-1821-2022, 2022
Short summary
Opportunities for seasonal forecasting to support water management outside the tropics
Leah A. Jackson-Blake, François Clayer, Elvira de Eyto, Andrew S. French, María Dolores Frías, Daniel Mercado-Bettín, Tadhg Moore, Laura Puértolas, Russell Poole, Karsten Rinke, Muhammed Shikhani, Leon van der Linden, and Rafael Marcé
Hydrol. Earth Syst. Sci., 26, 1389–1406, https://doi.org/10.5194/hess-26-1389-2022,https://doi.org/10.5194/hess-26-1389-2022, 2022
Short summary
Probabilistic modelling of the inherent field-level pesticide pollution risk in a small drinking water catchment using spatial Bayesian belief networks
Mads Troldborg, Zisis Gagkas, Andy Vinten, Allan Lilly, and Miriam Glendell
Hydrol. Earth Syst. Sci., 26, 1261–1293, https://doi.org/10.5194/hess-26-1261-2022,https://doi.org/10.5194/hess-26-1261-2022, 2022
Short summary

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.
Download
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.