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http://dx.doi.org/10.14191/Atmos.2020.30.2.155

Application of a Method Estimating Grid Runoff for a Global High-Resolution Hydrodynamic Model  

Ryu, Young (Operational Systems Development Department, National Institute of Meteorological Sciences)
Ji, Hee-Sook (Operational Systems Development Department, National Institute of Meteorological Sciences)
Hwang, Seung-On (Operational Systems Development Department, National Institute of Meteorological Sciences)
Lee, Johan (Operational Systems Development Department, National Institute of Meteorological Sciences)
Publication Information
Atmosphere / v.30, no.2, 2020 , pp. 155-167 More about this Journal
Abstract
In order to produce more detailed and accurate information of river discharge and freshwater discharge, global high-resolution hydrodynamic model (CaMa-Flood) is applied to an operational land surface model of global seasonal forecast system. In addition, bias correction to grid runoff for the hydrodynamic model is attempted. CaMa-Flood is a river routing model that distributes runoff forcing from a land surface model to oceans or inland seas along continentalscale rivers, which can represent flood stage and river discharge explicitly. The runoff data generated by the land surface model are bias-corrected by using composite runoff data from UNH-GRDC. The impact of bias-correction on the runoff, which is spatially resolved on 0.5° grid, has been evaluated for 1991~2010. It is shown that bias-correction increases runoff by 30% on average over all continents, which is closer to UNH-GRDC. Two experiments with coupled CaMa-Flood are carried out to produce river discharge: one using this bias correction and the other not using. It is found that the experiment adapting bias correction exhibits significant increase of both river discharge over major rivers around the world and continental freshwater discharge into oceans (40% globally), which is closer to GRDC. These preliminary results indicate that the application of CaMa-Flood as well as bias-corrected runoff to the operational global seasonal forecast system is feasible to attain information of surface water cycle from a coupled suite of atmospheric, land surface, and hydrodynamic model.
Keywords
Grid runoff; bias correction; global hydrodynamic model; river discharge; freshwater discharge;
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