Towards an ensemble-based short-term flood forecasting using an event-based flood model- incorporating catchment-average estimates of soil moisture
Author:
Publisher
Elsevier BV
Subject
Water Science and Technology
Reference56 articles.
1. Adams, T.E., Pagano, T.C., 2016. Flood Forecasting: A Global Perspective, 1st Editio. ed. Academic Press, San Diego.
2. Alvarez-Garreton, C., Ryu, D., Western, A.W., Su, C.-H., Crow, W.T., Robertson, D.E., Leahy, C., 2015. Improving operational flood ensemble prediction by the assimilation of satellite soil moisture: comparison between lumped and semi-distributed schemes. Hydrol. Earth Syst. Sci. 19, 1659–1676. https://doi.org/10.5194/hess-19-1659-2015.
3. Berthet, L., Andréassian, V., Perrin, C., Javelle, P., 2009. How crucial is it to account for the Antecedent Moisture Conditions in flood forecasting? Comparison of event-based and continuous approaches on 178 catchments. Hydrol. Earth Syst. Sci. Discuss. 6, 1707–1736. https://doi.org/10.5194/hessd-6-1707-2009.
4. An analysis of transformations;Box;J. Roy. Stat. Soc.: Ser. B (Methodol.),1964
5. Chifflard, P., Kranl, J., Strassen, G. zur, Zepp, H., 2018. The significance of soil moisture in forecasting characteristics of flood events. A statistical analysis in two nested catchments. J. Hydrol. Hydromech. 66, 1–11. https://doi.org/10.1515/johh-2017-0037.
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