Groundwater Recharge (GR) is pivotal for sustainability, ensuring the renewability of groundwater. Artificial GR is a key strategy to counter water level decline, albeit constrained by cost and limited effective area. Natural GR controlling factors play a well-defined role and are more readily identifiable in arid and semi-arid regions, where fewer influencing factors are present. In contrast, in humid regions, identifying these recharge factors is more challenging due to high precipitation, extensive vegetation cover, and the presence of surface water bodies. This study focuses on the bio-geophysical aspects contributing to GR from seasonal precipitation in the central subtropical monsoon region of the Gangetic Plain, located in Uttar Pradesh, India. GR is complex, varying temporally and spatially, and challenging to quantify across large areas. In this study, the 'Water and Energy Transfer among Bare Soil, Vegetation, and Atmosphere (WetSpass)' model was employed to estimate diffuse GR. Additionally, this study is the first to compare the simulated GR values from WetSpass with those from other global models without relying on the traditional verification process involving base flow. Simulated annual GR per square kilometer ranges from -3.5 mm/year/km2 to 222 mm/year/km2 for the period of 2005-2016, with substantial contributions observed during the summer recharge period. The state exhibits high evapotranspiration rates, largely driven by extensive agricultural land coverage. It comprehensively discusses the influence of bio-geophysical factors on GR modeling. Output and regression processes with climate, slope, soil type, and vegetation provide a comprehensive understanding of the effects of natural controlling factors on GR. The application of principal component analysis further refines the multicollinearity of simulated recharge values with the spatial distribution of bio-geophysical factors. Vegetation cover, notably in intermediate tree cover areas, enhances GR. These regions exhibit lower evapotranspiration compared to densely forested areas, whereas both areas have a similar range of surface runoff and soil evaporation. The study represents a novel statistical application of simulated recharge values applicable to expansive regions characterized by limited available data. This research suggests that tree management and secondary plantation with groundwater-feeding species can augment groundwater resources.