Application of quantitative precipitation forecasting and precipitation ensemble prediction for hydrological forecasting

Article, Other literature type English OPEN
P. Tao ; P. Tao ; S. Tie-Yuan ; Y. Zhi-Yuan ; W. Jun-Chao (2015)
  • Publisher: Copernicus Publications
  • Journal: Proceedings of the International Association of Hydrological Sciences (issn: 2199-8981)
  • Related identifiers: doi: 10.5194/piahs-368-96-2015
  • Subject: GE1-350 | QE1-996.5 | Environmental sciences | Geology

The precipitation in the forecast period influences flood forecasting precision, due to the uncertainty of the input to the hydrological model. Taking the ZhangHe basin as the example, the research adopts the precipitation forecast and ensemble precipitation forecast product of the AREM model, uses the Xin Anjiang hydrological model, and tests the flood forecasts. The results show that the flood forecast result can be clearly improved when considering precipitation during the forecast period. Hydrological forecast based on Ensemble Precipitation prediction gives better hydrological forecast information, better satisfying the need for risk information for flood prevention and disaster reduction, and has broad development opportunities.
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