Document Type : Original Article
Authors
1
Ph. D. student of water resources, Department of Water Science and Engineering, Faculty of Agriculture, Birjand University, Birjand, Iran.
2
Associate Professor, Department of Water Science and Engineering, Faculty of Agriculture, Birjand University, Birjand, Iran.
3
Assistant Professor,, Department of Ecology, Institute of Science and High Technology and Environmental Sciences, Graduate University of Advanced Technology, Kerman, Iran.
4
M. Sc graduated of Meteorology, Tehran University, Tehran, Iran.
5
Ph. D. student of water resources, Department of Environmental engineering, College of Engineering of Tehran University, Tehran, Iran.
Abstract
Every year, the occurrence of heavy rains in the flood-prone basins of the country leads to the occurrence of floods and the resulting damages. Therefore, accurate prediction of rainfall is of great importance to take preventive measures. Therefore, rainfall forecasting is one of the most important issues in the field of water resources management. So far, various methods have been used to predict rainfall. Advanced hydrological research in short-term weather forecasting is uncertain and its impact is still being investigated and understood. The concept of connecting the hydrological model (WRF-Hydro) with the atmospheric model (WRF) is expected to reduce the uncertainties related to the spatial and temporal distribution of storm events, especially for areas with complex characteristics.
In this study, the WRF/WRF-Hydro model was evaluated in order to predict 4 rainfall events that resulted in floods. In precipitation simulations, this model was underestimated and the model provided better results in coupled mode. ERA5 data was used to run the model, and these data had a good performance for the model in the mentioned field. Also, Lin, Thompson, and WSM6 were used to configure the model, and according to the error evaluation criteria of RMSE and NSE, all three of these schemes performed similarly.
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