Accurate hydrologic modeling in data-scarce mountainous regions remains challenging due to strong climatic variability, complex topography, and limited ground data. This study evaluates the influence of four precipitation inputs on the performance of the Soil and Water Assessment Tool Plus (SWAT+) model in the monsoo...
Pasquinel de la Fraga, E. Vivoni, Yalina Montecelos-Zamora et al.· Frontiers in Water· 0 citations
Accurate precipitation estimates are essential for hydrological modeling, water resource management, agricultural planning, and climate impact assessments, particularly in tropical regions with sparse and uneven observational networks. This study evaluates the performance of twelve gridded precipitation datasets at dai...
M. Biudes, N. Machado, Luiz Octávio Fabrício dos Santos et al.· Theoretical and Applied Clim...· 0 citations
Accurate precipitation information is crucial for hydrological simulation and water resources management, especially in humid mountainous regions where complex terrain and spatially heterogeneous rainfall introduce considerable uncertainties. Satellite-based precipitation products provide important data sources for hyd...
Zhuang Niu, He-Long Wang, D. Shen et al.· Remote Sensing· 0 citations
Climate change has significantly influenced regional precipitation patterns, affecting agricultural productivity and water-resource sustainability in monsoon-dependent regions. Reliable climate projections are therefore essential for climate impact assessment and adaptation planning. However, the performance of Regiona...
The accurate estimation of precipitation is important for hydro-meteorological applications. The evaluation of Gridded Precipitation Products (GPPs) must account for the zero-inflated nature of precipitation data and differences in spatial support between rain gauges and satellite grids. Traditional validation approach...
Teofilo Ligawa, Ciira Wa Maina· Water· 0 citations
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