Reference: http://dx.doi.org/10.13140/RG.2.2.36680.49929

Research Objectives of the CRisES team @ ESSG:

1. Plan sustainable mitigation and adaptation strategies
2. Quantify climate risk for natural hazards and extremes
3. Build dynamic observatories  to map key variables in the changing climate

Projects: 

1. PREPARING FOR A WORLD OF EXTREMES​ [MIT Climate Grand Challenges]:
   • Informative Learning from a Nonlinear Dynamics and Stochastic Process perspective
   • New Physics-coupled Machine Learning for
     • Downscaling, Uncertainty Quantification, Surrogate Modeling, Nowcasting, Parameterization, and Decision Problems
   • Synthetic Extra-tropical  Storm modeling  
   • Cascading Flood Risk in a changing climate: coastal, fluival, and pluvial at 100m scale and above.
   • Flood Models: New particle approaches integrated flood modeling from coastal to infrastructure.
2. JO-CREWSNET [MIT Climate Grand Challenges]:
   • Tropical Cyclone-induced Hazards in Bangladesh
     • Wind, Surge & Waves, Tides, Sealevel Rise, Rain, Inundation, Salinity, and Sediment
   • Cascading Effects: Monsoons, Heat Stress and Cyclones
   • Adaption Strategies: Cyclones and Agriculture, Cyclones and Coastal Resilience
3. FLOOD LOSS RISK [Liberty Mutual Quest for Intelligence]:
   • AIML for Downscaling Precipitation, Surrogate Flood Modeling, and Flood Loss Risk Modeling (severity and frequency).
4. Project STRATORO 
   • Autonomous lightweight stratospheric observatory for extreme events, see CAOS