Coupling ensemble weather predictions based on TIGGE database with Grid-Zinanjiang model for flood forecast

Bao, H.-J., Zhao, L.-N., He, Y., Li, Z.-J., Wetterhall, F., Cloke, H. L., Pappenberger, F. and Manful, D. (2011) Coupling ensemble weather predictions based on TIGGE database with Grid-Zinanjiang model for flood forecast. Advances in Geosciences, 29. pp. 61-67. ISSN 1680-7340

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Abstract

The incorporation of numerical weather predictions (NWP) into a flood forecasting system can increase forecast lead times from a few hours to a few days. A single NWP forecast from a single forecast centre, however, is insufficient as it involves considerable non-predictable uncertainties and lead to a high number of false alarms. The availability of global ensemble numerical weather prediction systems through the THORPEX Interactive Grand Global Ensemble' (TIGGE) offers a new opportunity for flood forecast. The Grid-Xinanjiang distributed hydrological model, which is based on the Xinanjiang model theory and the topographical information of each grid cell extracted from the Digital Elevation Model (DEM), is coupled with ensemble weather predictions based on the TIGGE database (CMC, CMA, ECWMF, UKMO, NCEP) for flood forecast. This paper presents a case study using the coupled flood forecasting model on the Xixian catchment (a drainage area of 8826 km2) located in Henan province, China. A probabilistic discharge is provided as the end product of flood forecast. Results show that the association of the Grid-Xinanjiang model and the TIGGE database gives a promising tool for an early warning of flood events several days ahead.

Item Type:	Article
Faculty \ School:	Faculty of Science > School of Environmental Sciences University of East Anglia Research Groups/Centres > Theme - ClimateUEA
UEA Research Groups:	University of East Anglia Schools > Faculty of Science > Tyndall Centre for Climate Change Research Faculty of Science > Research Centres > Tyndall Centre for Climate Change Research
Depositing User:	Rosie Cullington
Date Deposited:	24 Mar 2011 09:36
Last Modified:	20 Mar 2023 10:31
URI:	https://ueaeprints.uea.ac.uk/id/eprint/27129
DOI:	10.5194/adgeo-29-61-2011

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