Articles | Volume 22, issue 2
Research article
07 Feb 2018
Research article |  | 07 Feb 2018

Near-real-time adjusted reanalysis forcing data for hydrology

Peter Berg, Chantal Donnelly, and David Gustafsson

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Cited articles

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Alfieri, L., Burek, P., Dutra, E., Krzeminski, B., Muraro, D., Thielen, J., and Pappenberger, F.: GloFAS – global ensemble streamflow forecasting and flood early warning, Hydrol. Earth Syst. Sci., 17, 1161–1175,, 2013. a
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Andersson, J. C., Ali, A., Arheimer, B., Gustafsson, D., and Minoungou, B.: Providing peak river flow statistics and forecasting in the Niger River basin, Phy. Chem. Earth Pt. A/B/C, 100, 3–12,, 2017. a
Short summary
A new product (Global Forcing Data, GFD) that provides bias-adjusted meteorological forcing data for impact models, such as hydrological models, is presented. The main novelty with the product is the near-real time updating of the data which allows more up-to-date impact modeling. This is performed by combining climatological data sets with climate monitoring data sets. The potential in using the data to initialize hydrological forecasts is further investigated.