Document Type : Original Article

Authors

• Malihe Bayram ¹
• Milad Rezaei ²

¹ Imam Khomeini International University, Qazvin, Iran

² Tarbiat Modares University, Tehran, Iran

Abstract

The current research was conducted to evaluate the effectiveness of the reanalysis data of Era-interim, Agera5, and station data to simulate runoff using the Sacramento model in the Shapur watershed. Focusing on an innovative approach, this study provides solutions for integrating reanalysis data into runoff modeling that can improve the flexibility and accuracy of hydrological models. The research data were analyzed by statistically comparing the simulated discharge with the observed discharge at the watershed outlet on a daily time scale. The results showed that the discharge simulated by the station precipitation data with a correlation coefficient of 0.93 with the observed discharge performs better than the discharge simulated by the reanalysis data. Also, among the reanalysis data, the Agera5 data with a correlation coefficient of 0.82 performs better than the Era-interim data. The results of Era-interim data show an underestimation in the amount of precipitation, which is because it is located in the Shapur watershed (the coastline bordering the Oman Sea and the Persian Gulf). Also, in the review of the long-term monthly data, the reanalysis data in the hot months of Dubai has not been correctly simulated, which is due to the durability and low thickness of the clouds, and this has caused a decrease in the accuracy of the amount of precipitation. Finally, due to the proper distribution of rain gauge stations in this basin, the results obtained from the station data are better than the reanalysis data.

Keywords

• Water resources
• Sacramento model
• Precipitation
• Era-interim
• Agera5

Main Subjects

• Climatology