This study estimates soil-climatic water balance components and evaluates significance of Thornthwaite method-based actual evapotranspiration (AET) using SWAT simulations and satellite data while assessing spatio-temporal water balance variability (2000-2023) across the Minor Krishna River Basin, India. SWAT model performed well at the discharge stations (mean R2 = 0.70, NSE = 0.66). Humid zones exhibited adequate water availability, while dry sub-humid regions faced persistent deficits, and semi-arid conditions showed lowest surplus. Seasonal water-balance dynamics reflected the interplay of rainfall, soil-water storage, and evapotranspiration (ET) demand, driving surplus–deficit transitions. Drought classification captured varying severity and intensity of hydroclimatic stress across basin. Lead-lag analysis between Precipitation (P) and Thornthwaite-based AET anomalies and Terrestrial Water Storage Anomaly (TWSA) from Gravity Recovery and Climate Experiment (GRACE) revealed a maximum correlation (R = 0.65) at 3-month lag, indicating basin’s hydrologic memory. The findings underscore climatic influences on regional hydrology and emphasize for sustainable water management.
No takes yet. Share an insight, caveat, or question.
Shaikh et al. (2026) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: