Description
1. Detailed modeling of evaporation loss and operating rules for improved reservoir management 2. Characterizing extreme events in monsoon Asia using remote sensing and land surface model data products 3. D-SciMAP: Integrating drought science, management, and policy in water-scarce areas 4. Application of machine learning approaches for climate change mitigation 5. Non-stationarity analyses of design rainfall using Bayesian approaches 6. Time-varying hydro-climatological extremes and its modeling 7. Water security implications of climate and socio-economic stressors for river basin management 8. Water resources management under climate change and extreme hydrological events 9. Changes in drought characteristics and coping strategies in monsoonal climates 10. Assessment of drought using standardized precipitation index (SPI) – A case study of Tiruchirappalli district (Tamil Nadu) 11. Machine Learning for improving near real-time satellite rainfall estimates useful for flood modeling 12. Using models to understand changing hydrological extremes as a result of climate change: impacts in urban areas 13. Modeling the non-stationarity in the reservoir operation
