Research

Sudarshana’s primary research area is statistical hydrology with an emphasis on stochastic hydrological modeling that aims at efficiently using climate information in water resources management. She is interested in river-basin scale multi-reservoir modeling for understanding water-energy nexus using probabilistic hydroclimatological forecasts and identifying the drivers of hydroclimatic variability across different spatial and temporal scale.

Current Projects

Current Research Topics: 

  • Understanding seasonality and effect of spatio-temporal scales on weather regimes.
  • Improving reservoir management using sub-seasonal to seasonal stream flow forecast.
  • Understanding teleconnection between watershed responses and climate indices.
  • Cumulative effects of dams on flow regime alteration and its impact on biodiversity.

Publications:

Presentations: 

  • AGU Fall Meeting (2017) presentation . Presentation title: ‘Sub-seasonal-to-seasonal Reservoir Inflow Forecast using Bayesian Hierarchical Hidden Markov Model ‘ [presented on Dec 14, 2017]
  • ASCE World Environmental and Water Resources Congress (EWRI) (2017) Oral presentation. Presentation title : ‘Equivalent Reservoir Modelling for Multipurpose and Multi-Reservoir Systems over the Southern United States’. [presented on May 24, 2017]
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