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Proceedings of the International Association of Hydrological Sciences An open-access publication for refereed proceedings in hydrology
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Volume 368
Proc. IAHS, 368, 108–113, 2015
https://doi.org/10.5194/piahs-368-108-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
Proc. IAHS, 368, 108–113, 2015
https://doi.org/10.5194/piahs-368-108-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

  06 May 2015

06 May 2015

Study of a dynamic downscaling scheme for quantitative precipitation forecasting

Y. Li1, G. H. Lu1, Z. Y. Wu1, and J. Shi2 Y. Li et al.
  • 1College of Hydrology and Water Resources, Hohai University, Nanjing, Jiangsu Province, 210098, China
  • 2Henan Electric Power Survey & Design Institute, Zhengzhou, Henan Province, 450007, China

Keywords: WRF model, dynamic downscaling, horizontal resolution, model domain, Xijiang Basin

Abstract. Dynamic downscaling is the best way to get high resolution quantitative precipitation forecasts. The Weather Research and Forecasting Model (WRF) was utilized as a dynamic downscaling tool in this study. The influence of the horizontal resolutions and the model domains on precipitation forecasts has been analysed to establish an optimized dynamic downscaling scheme. Three precipitation events over Xijiang basin, China, were simulated with different horizontal resolutions and domains. The results indicate that both the horizontal resolution and model domain have an influence on the precipitation forecast. However, the correlation between high precipitation forecast accuracy and the high horizontal resolution or the large model domain were not very strong. Comprehensive consideration of the results shows that the accuracy of forecast is best when the horizontal resolution is 20-km. Although the model domain size has no significant influence on the precipitation forecast, a larger domain may improve the stability of forecasting.

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