查看文章

Soil moisture data is vital for drought monitoring, water management, and climate change understanding. Despite the availability of global satellite products, their performance in Ethiopia remains understudied. This research assesses operational satellite and reanalysis soil moisture datasets over the Gilgel Abbay watershed using in-situ measurements. After bias correction, evaluation metrics reveal that all products except NASA-GLDAS considerably capture soil moisture dynamics. SMAP demonstrates superior temporal dynamics, followed by SMOS, CFSRv2, LIS, ESA-CCI, and ERA5. SMAP (CC= 0.68) and SMOS (CC= 0.67) emerge as the most accurate, with SMOS notably excelling in spatial representation and remarkable alignment with the Topographic Wetness Index. However, the absence of in-situ monitoring networks impedes evaluation efforts. Establishing such networks is essential to enhance satellite retrievals and modeling in the upper Blue Nile Basin, Ethiopia.