NG41A:
Stochastic Modeling in Atmosphere, Ocean, and Climate Dynamics II Posters

Submit an Abstract to this Session



Session ID#: 22481

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:  Cecile Penland, NOAA Boulder, Boulder, CO, United States and Juan M. Restrepo, Oregon State University, Mathematics, Corvallis, OR, United States
OSPA Liaison:  Paul Williams, University of Reading, Reading, United Kingdom
Co-Organized with:
Nonlinear Geophysics, Atmospheric Sciences, Global Environmental Change, Hydrology, and Ocean Sciences
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:

Constraining Stochastic Parametrisation Schemes Using High-Resolution Model Simulations (281443)
Hannah Mary Christensen, National Center for Atmospheric Research, Boulder, CO, United States, Andrew Dawson, European Center for Medium-Range Weather Forecasts, Reading, United Kingdom and Tim Palmer, University of Oxford, Oxford, United Kingdom
Impact of a Stochastic Parameterization Scheme on El Nino-Southern Oscillation in the Community Climate System Model (300830)
Judith Berner1, Hannah Mary Christensen1 and Prashant D Sardeshmukh2, (1)National Center for Atmospheric Research, Boulder, CO, United States, (2)CIRES, Boulder, CO, United States
Daily Rainfall Simulation Using Climate Variables and Nonhomogeneous Hidden Markov Model (237144)
Jaewon Jung1, Hung Soo Kim2, Hong jun Joo3 and Daegun Han3, (1)Inha Uiversity, Inha Uiversity, Incheon, South Korea, (2)Inha University, Incheon, South Korea, (3)Inha University, Incheon, Korea, Republic of (South)
Data-adaptive harmonic analysis and prediction of sea level change in North Atlantic region (239811)
Dmitri A Kondrashov, University of California Los Angeles, Atmos. Sci, Los Angeles, CA, United States and Mickael Chekroun, University of California, Los Angeles, Atmospheric and Oceanic Sciences, Los Angeles, United States
SPAGETTA: a Multi-Purpose Gridded Stochastic Weather Generator (244257)
Martin Dubrovsky1, Radan Huth2, Mathias Walter Rotach3 and Hetal Dabhi3, (1)Institute of Atmospheric Physics CAS, Prague, Czech Republic, (2)Faculty of Science, Charles University, Dept. of Physical Geography and Geoecology, Prague, Czech Republic, (3)Innsbruck University, Institute of Atmospheric and Cryospheric Sciences, Innsbruck, Austria
Nonlinear Dynamical Modes as a Basis for Short-Term Forecast of Climate Variability (244682)
Alexander M Feigin, Dmitry Mukhin, Andrey Gavrilov, Alexey Seleznev and Evgeny Loskutov, Institute of Applied Physics RAS, Nizhny Novgorod, Russia
Data-Driven Modeling of Complex Systems by means of a Dynamical ANN (269973)
Aleksei Seleznev, Dmitry Mukhin, Andrey Gavrilov, Evgeny Loskutov and Alexander Feigin, Institute of Applied Physics RAS, Nizhny Novgorod, Russia
Generalised and Fractional Langevin Equations-Implications for Energy Balance Models (271151)
Nicholas Wynn Watkins1,2, Sandra C Chapman2, Aleksei Chechkin3, Ian Ford4, Rainer Klages5 and David Alan Stainforth6, (1)London School of Economics, CATS, London, United Kingdom, (2)University of Warwick, Coventry, United Kingdom, (3)Akhiezer Institute of Theoretical Physics,, Kharkiv, Ukraine, (4)University College London, London, United Kingdom, (5)Queen Mary University of London, London, United Kingdom, (6)London School of Economics, Grantham Research Institute, London, United Kingdom
Stochastic rainfall synthesis for urban applications using different regionalization methods (272473)
Ana Claudia Callau Poduje1, Sören Leimbach1 and Uwe Haberlandt2, (1)Institute of Hydrology and Water Resources Management - Leibniz University of Hannover, Hannover, Germany, (2)Institute of Hydrology and Water Resources Management, Leibniz University of Hannover, Hannover, Germany
Extracting Leading Nonlinear Modes of Changing Climate From Global SST Time Series (277742)
Dmitry Mukhin1, Andrey Gavrilov1, Evgeny M Loskutov1, Alexander M Feigin1 and Juergen Kurths2, (1)Institute of Applied Physics of RAS, Nizhny Novgorod, Russia, (2)Potsdam Institute for Climate Impact Research, Potsdam, Germany
Rebased Global Mean Temperature comparisons between Global Climate Models and observed Global Mean Temperature: constraints and implications (228537)
Sandra C Chapman, University of Warwick, Centre for Fusion, Space and Astrophysics, Department of Physics, Coventry, CV4, United Kingdom, David Alan Stainforth, London School of Economics, Grantham Research Institute, London, United Kingdom and Nicholas Wynn Watkins, University of Warwick, Coventry, United Kingdom; London School of Economics, CATS, London, United Kingdom
A way around the Nyquist lag (233157)
Cecile Penland, Physical Sciences Division, Boulder, CO, United States
Long-time Dynamics of Stochastic Wave Breaking (212177)
Juan M. Restrepo, Oregon State University, Mathematics, Corvallis, OR, United States; Oregon State University, Corvallis, OR, United States, Jorge M Ramirez, Universidad Nacional de Colombia, Sede Medellin, Antioquia, Colombia, Luc Deike, Scripps Institution of Oceanography, University of California San Diego, La Jolla, CA, United States and Kenneth Melville, Scripps Institution of Oceanography, UCSD, La Jolla, CA, United States

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