NG34A:
Stochastic Modeling in Atmosphere, Ocean, and Climate Dynamics I

Submit an Abstract to this Session



Session ID#: 31557

Session Description:
Stochastic approaches are increasingly important in atmosphere, ocean, and climate science. Stochasticity can be applied across all levels of model complexity, from conceptual toy models to general circulation models and Earth-system models. In these approaches, critical but unresolved or poorly understood processes are modeled stochastically. Recent progress has been made in stochastic modeling of precipitation, clouds, gravity waves, ocean eddies, and land-ice and sea-ice processes, as well as in hydromechanics and sub-surface hydrology. However, applications of increasing complexity require new and sophisticated numerical and computational tools and data assimilation techniques. This session aims at bringing together the mathematical, statistical, and geophysical communities. It welcomes submissions related to stochastic processes in meteorology, oceanography, and climate science, including discussion of new modeling techniques, stochastic parameterization schemes, and data-driven stochastic modeling.
Primary Convener:  Paul Williams, University of Reading, Reading, United Kingdom
Conveners:  Cecile Penland, Physical Sciences Division, Boulder, CO, United States, Juan M. Restrepo, Oregon State University, Mathematics, Corvallis, OR, United States and Aneesh Subramanian, University of Oxford, Oxford, United Kingdom
Chairs:  Aneesh Subramanian, University of Oxford, Oxford, United Kingdom and Paul Williams, University of Reading, Reading, United Kingdom
OSPA Liaison:  Cecile Penland, NOAA Boulder, Boulder, CO, United States
Index Terms:

3265 Stochastic processes [MATHEMATICAL GEOPHYSICS]
3337 Global climate models [ATMOSPHERIC PROCESSES]
3367 Theoretical modeling [ATMOSPHERIC PROCESSES]
4532 General circulation [OCEANOGRAPHY: PHYSICAL]

Abstracts Submitted to this Session:

A Stochastic Model of Ocean Mesoscale Eddies and Associated Parameterization of Tracer Transport (Invited) (224491)
Ian Grooms, University of Colorado at Boulder, Applied Mathematics, Boulder, United States and William Kleiber, University of Colorado Boulder, Department of Applied Mathematics, Boulder, United States
Stochastic Ocean Predictions with Dynamically-Orthogonal Primitive Equations (297067)
Deepak Narayanan Subramani, Patrick Haley Jr and Pierre F J Lermusiaux, Massachusetts Institute of Technology, Cambridge, MA, United States
Remote and Local Influences in Forecasting Pacific SST: a Linear Inverse Model and a Multimodel Ensemble Study (271147)
Daniela Faggiani Dias, Scripps Institution of Oceanography, San Diego, United States, Aneesh Subramanian, University of Colorado at Boulder, Atmospheric and Oceanic Sciences, Boulder, United States, Laure Zanna, University of Oxford, Dept of Physics, Oxford, United Kingdom and Arthur J Miller, Scripps Institution of Oceanography, La Jolla, United States
Exploring the pullback attractors of a low-order quasigeostrophic ocean model subject to deterministic and random forcing (256431)
Michael Ghil, University of California Los Angeles, Atmos. Sci, Los Angeles, CA, United States, Stefano Pierini, Parthenope University of Naples, Department of Science and Technology (DiST), Naples, Italy and Mickael Chekroun, University of California, Los Angeles, Atmospheric and Oceanic Sciences, Los Angeles, United States
Dynamics Under Location Uncertainty: Model Derivation, Modified Transport and Uncertainty Quantification (216925)
Valentin Resseguier, Brown University, Providence, RI, United States, Etienne Memin, Inria/Irstea/IRMAR, Fluminance, Rennes, France, Bertrand Chapron, IFREMER, Laboratoire d'Oceanographie Physique et Spatiale (LOPS), UMR6523 CNRS/IFREMER/IRD/UBO, Brest, France and Baylor Fox-Kemper, Brown University, Department of Earth, Environmental and Planetary Sciences, Providence, RI, United States
EFFICIENT SIMULATION OF TROPICAL CYCLONE PATHWAYS WITH STOCHASTIC PERTURBATIONS (221650)
Robert Webber1, David Ariel Plotkin1, Dorian S Abbot2 and Jonathan Weare3, (1)University of Chicago, Chicago, IL, United States, (2)University of Chicago, Geophysical Sciences, Chicago, IL, United States, (3)New York University, Courant Institute of Mathematical Sciences, New York, United States
Creation of Synthetic Surface Temperature and Precipitation Ensembles Through A Computationally Efficient, Mixed Method Approach (259747)
Cary Lynch1, Corinne Hartin2, Ben Kravitz1, Robert P Link3 and Ben P Bond-Lamberty2, (1)Joint Global Change Research Institute, College Park, MD, United States, (2)Joint Global Change Research Institute, College Park, United States, (3)Pacific Northwest National Laboratory, Joint Global Change Research Institute, College Park, MD, United States

See more of: Nonlinear Geophysics