Statistical hydrology & water resources
Sudarshana's primary research area is statistical hydrology, emphasizing stochastic hydrological modeling that aims to efficiently use climate information in water resources management. She is interested in river-basin scale multi-reservoir modeling for understanding the water-energy nexus using probabilistic hydroclimatological forecasts, and in identifying the drivers of hydroclimatic variability across different spatial and temporal scales.
01Past projects
- National Science Foundation (Cybersees-Type II)
- A Global Synthesis of land-surface fluxes under natural and human-altered watersheds using the Budyko framework
- Understanding seasonality and effect of spatio-temporal scales on weather regimes
- Improving reservoir management using sub-seasonal to seasonal streamflow forecasts
- Understanding teleconnection between watershed responses and climate indices
- Cumulative effects of dams on flow regime alteration and its impact on biodiversity