NG14A:
Stochastic Modeling in Atmosphere, Ocean, and Climate Dynamics: Pattern Formation and Self-Organization in Earth Systems I
NG14A:
Stochastic Modeling in Atmosphere, Ocean, and Climate Dynamics: Pattern Formation and Self-Organization in Earth Systems I
Stochastic Modeling in Atmosphere, Ocean, and Climate Dynamics: Pattern Formation and Self-Organization in Earth Systems I
Session ID#: 10472
Session Description:
Stochastic approaches play a role of increasing importance in atmosphere, ocean, and climate models across the hierarchy of complexity. This session welcomes submissions related to stochastic processes in meteorology, oceanography, and climate science, including discussion of new modelling techniques; stochastic parameterization schemes; and data-driven stochastic modelling.
Primary Convener: Paul Williams, University of Reading, Reading, United Kingdom
Conveners: Cecile Penland, Physical Sciences Division, Boulder, CO, United States, Adam H Monahan, University of Victoria, Victoria, BC, Canada and Sally E Thompson, University of California Berkeley, Civil and Environmental Engineering, Berkeley, CA, United States
Chairs: Sally E Thompson, University of California Berkeley, Civil and Environmental Engineering, Berkeley, CA, United States and Paul Williams, University of Reading, Reading, United Kingdom
OSPA Liaison: Sally E Thompson, University of California Berkeley, Civil and Environmental Engineering, Berkeley, CA, United States
Cross-Listed:
- A - Atmospheric Sciences
- GC - Global Environmental Change
- OS - Ocean Sciences
Index Terms:
3265 Stochastic processes [MATHEMATICAL GEOPHYSICS]
3325 Monte Carlo technique [ATMOSPHERIC PROCESSES]
Abstracts Submitted to this Session:
See more of: Nonlinear Geophysics