Hydrologic Assessment of the Uncertainty of Six Remote Sensing Precipitation Estimates Driven by a Distributed Hydrologic Model in the Blue Nile Basin

Abstract Because of the sparseness ground monitoring network, precipitation estimations based on satellite products (PESPs) are currently requisite tools for hydrological simulation research and applications. The evaluation six global high-resolution PESPs (TRMM 3B42V7, GPGP-1DD, TRMM 3B42RT, CMORPH-V1.0, PERSIANN, PERSIANN-CDR) is ultimate purpose this research. Additionally, distributed Hydrological River Basin Environmental Assessment Model (Hydro-BEAM) used to investigate their potential effects in streamflow predictions over Blue Nile basin (BNB) during period 2001 2007. correctness studied assessed by applying categorical criteria appraise performances estimating reproducing amounts, while statistical indicators utilized determine rain detection capabilities. Our findings reveal that 3B42V7 outperforms remaining product both estimation simulation, as reflected highest NSE R 2 values ranges from 0.85 0.94. Generally, exhibits tremendous a substitute estimates BNB, which will provide powerful forcing input data models. Overall, study hopefully better comprehension usefulness uncertainties various simulations, particularly region.