//dx.doi.org/10.13140/RG.2.2.36680.49929
Research Objectives of the CRisES team @ ESSG:
- Plan sustainable mitigation and adaptation strategies
- Quantify climate risk for natural hazards and extremes
- Build dynamic observatories to map key variables in the changing climate
Projects:
- 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.
- 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
- Tropical Cyclone-induced Hazards in Bangladesh
- FLOOD LOSS RISK [Liberty Mutual Quest for Intelligence]:
- AIML for Downscaling Precipitation, Surrogate Flood Modeling, and Flood Loss Risk Modeling (severity and frequency).
- Project STRATORO
- Autonomous lightweight stratospheric observatory for extreme events, see CAOS