P. K. Srivastava

Machine learning based precipitation modeling using multi satellite data for climate resilient water resource management in Bundelkhand India

Precipitation modeling can be improved by using spatially continuous climate data from satellite remote sensing; nevertheless, incorporating heterogeneous sensor-derived variables and understanding machine learning results continue to be significant hurdles. In this work, a multi-source climatic parameter-based satelli...

Evolving approaches for performance-driven rainfall forecasting using integrated ARIMA–Kalman filter models

Harnessing Deep Learning Methods for Rainfall Downscaling and Projections Over India: A CMIP6 Based Assessment of Future Shifts

The intensification of hydroclimatic extremes under global warming poses serious risks to water security, agriculture and disaster resilience in monsoon‐dependent regions. However, reliable regional‐scale rainfall projections remain challenging due to scale mismatches between global climate models and localised hyd...