Hydrometeorological Modeling of Limpopo River Basin in Mozambique with TOPMODEL and Remote Sensing

The Limpopo River basin (LRB) is known for its vulnerability to floods, high rates of evapotranspiration, and droughts that cause significant losses the local community. present study aimed perform simulations flood events occurring in two Mozambican sub-basins LRB, namely Chókwè Xai-Xai from 2000 2015 with TOPography-based hydrological MODEL (TOPMODEL) satellite remote sensing data. As input TOPMODEL, data high-resolution global satellite-based precipitation products: Climate Prediction Center MORPHing technique (CMORPH) Integrated Multi-Satellite Retrievals Global Precipitation Mission (GPM) algorithm (IMERG), 8-day MOD16 evapotranspiration product surface runoff estimated by Land Data Assimilation System (GLDAS) were used. sensitivity tests TOPMODEL parameters applied using Monte Carlo simulation. Calibration validation model performed Shuffled Complex Evolution (SCE-UA) method evaluated Kling-Gupta Efficiency (KGE) index. results indicated GPM-IMERG (KGE: 0.59 0.65) tended underestimate stream flows, while CMORPH performance was much better 0.66 0.77) both sub-basins. Thus, can help develop monitoring systems remotely sensed similar regions Mozambique.