Exploring the effect of data assimilation by WRF-3DVar for numerical rainfall prediction with different types of storm events

Author:

Liu Jia12,Bray Michaela3,Han Dawei2

Affiliation:

1. State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin; China Institute of Water Resources and Hydropower Research; Beijing 100038 China

2. Water and Environmental Management Research Centre, Department of Civil Engineering; University of Bristol; Bristol BS8 1TR UK

3. Hydro-environmental Research Centre, School of Engineering; Cardiff University; Cardiff CF24 0DE UK

Publisher

Wiley

Subject

Water Science and Technology

Reference42 articles.

1. Austin GL Bellon A Dionne P Roch M 1987 On the interaction between radar and satellite image nowcasting systems and mesoscale numerical models Proceedings of Symposium on Mesoscale Analysis and Forecasting 225 228

2. Barker DM Huang W Guo YR Bourgeois A 2003 A Three-Dimensional Variational (3D-VAR) Data Assimilation System for Use with MM5

3. A three-dimensional variational data assimilation system for MM5: implementation and initial results;Barker;Monthly Weather Review,2004

4. Short period forecasting of catchment-scale precipitation, Part II: a water-balance storm model for short-term rainfall and flood forecasting;Bell;Hydrology and Earth System Sciences,2000

5. Long-term assessment of bias adjustment in radar rainfall estimation;Borga;Water Resources Research,2002

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