Research Experience

 

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 Drought Monitoring and Prediction
  • Monitoring and prediction of meteorological and hydrological droughts
  • Analysis of spatiotemporal patterns
  • Duration, severity, and frequency of droughts
  • Probabilistic forecasts using Copulas
 Hydrologic Modeling
  • Lump and distributed modeling
  • Model calibration and validation
 Statistical Hydrology
  • Extreme event analysis
  • Probabilistic forecasting
  • Uncertainty analysis
  • Post-processing for increasing reliability and resolution
  • Bias correction and uncertainty reduction
  • Ensemble simulations
  • Bayesian inference and model averaging
 Climatology
  • Downscaling of Global Circulation Model (GCM)  products
  • Precipitation forecasting (sub-seasonal/seasonal/inter-seasonal)
  • Impacts of atmosphere-ocean dynamics on precipitation patterns
 Climate Change
  • Impacts and adaptation policies
  • Watershed response to climate change
  • Return period and frequency analysis of future extremes
  • Reservoirs reliability under changing climate
 Reservoir Operation
  • Reservoir operation optimization with multiple objectives
  • Conflict resolution using Game theory
  • Dynamic programming (DP, SDP)
  • Developing optimum rule curves

 

 

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