Statistical-Dynamical Models for Hydroclimatic Risk Management and Adaptation
Statistical-Dynamical Models for Hydroclimatic Risk Management and Adaptation
Session ID#: 118811
Session Description:
Decision-making for climate adaptation relies on projections of hydroclimate variables at a range of interconnected spatial and temporal scales. Many simulation and optimization frameworks rely on such projections as an input to system models, and so analysts must balance a desire for large ensembles to explore risk and grounding in physical principles for credible out-of-sample simulation against computational cost and interpretability. We welcome submissions related to the development and validation of statistical-dynamical models of hydroclimate variables, as well as their applications to infrastructure design, operation, and hazard assessment. Submissions related to weather and streamflow generators, emulators of sea level and storm surge, weather downscaling methods, and optimal sampling of design events are particularly encouraged.
Co-Sponsor(s):
- AMS: American Meteorological Society -
- EGU: European Geosciences Union -
- WCRP: World Climate Research Programme -
Index Terms:
1833 Hydroclimatology [HYDROLOGY]
1869 Stochastic hydrology [HYDROLOGY]
4313 Extreme events [NATURAL HAZARDS]
4318 Statistical analysis [NATURAL HAZARDS]
Primary Convener: James Doss-Gollin, Rice University, Houston, TX, United States
Conveners: Scott Steinschneider1, Sudarshana Mukhopadhyay1 and Julianne Quinn2, (1)Cornell University, Ithaca, NY, United States(2)University of Virginia, Engineering Systems and Environment, Charlottesville, VA, United States
Primary Liaison: James Doss-Gollin, Columbia University, Department of Earth and Environmental Engineering, New York, NY, United States
See more of: Hydrology