AMS :: Fall Central Sectional Meeting, AMS Special Session

AMS Sectional Meeting AMS Special Session

Current as of Saturday, November 5, 2016 03:30:05

Associate secretaries:

Georgia Benkart, AMS benkart@math.wisc.edu

Saturday October 29, 2016, 9:00 a.m.-10:50 a.m.
Special Session on Modeling and Predicting the Atmosphere, Oceans, and Climate, I
MOH 322, Opus Hall
Organizers:
Sam Stechmann, University of Wisconsin-Madison stechmann@wisc.edu
- 9:00 a.m.
  Precipitating Convection with Fast Cloud Microphysics.
  Leslie M Smith*, University of Wisconsin, Madison
  (1123-86-101)
- 9:30 a.m.
  On the interaction between the organization of clouds and climate variability.
  Thijs Heus*, Cleveland State University
  (1123-76-323)
- 10:00 a.m.
  Arctic Sea Ice Seasonal Prediction by a Linear Markov Model.
  Xiaojun Yuan*, Lamont-Doherty Earth Observaotry of Columbia University
  Dake Chen, State Key Laboratory of Satellite Ocean Environment Dynamics, SIO/SOA, Hangzhou, China
  Cuihua Li, Lamont-Doherty Earth Observaotry of Columbia University
  Lei Wang, Lamont-Doherty Earth Observaotry of Columbia University
  Wanqiu Wang, Climate Prediction Center, National Centers of Environmental Prediction, NOAA
  (1123-60-311)
- 10:30 a.m.
  A piecewise-smooth dynamical systems analysis of an Arctic sea ice loss model: what we learn from bifurcations when we remove albedo smoothing.
  Mary Silber*, University of Chicago
  Kaitlin Hill, Northwestern University
  Dorian Abbot, University of Chicago
  (1123-37-202)

Saturday October 29, 2016, 2:30 p.m.-4:20 p.m.
Special Session on Modeling and Predicting the Atmosphere, Oceans, and Climate, II
MOH 322, Opus Hall
Organizers:
Sam Stechmann, University of Wisconsin-Madison stechmann@wisc.edu
- 2:30 p.m.
  The Diffusion Forecasting Method.
  John Harlim*, The Pennsylvania State University
  (1123-60-18)
- 3:00 p.m.
  A data-driven method for improving the correlation estimation in serial ensemble Kalman filters.
  Michele De La Chevrotiere*, The Pennsylvania State University
  John Harlim, The Pennsylvania State University
  (1123-60-28)
- 3:30 p.m.
  Quantifying Uncertainty in Time Averages of Climate Signals with both Short- and Long-Range Dependence.
  Matthew Bowers*, Department of Earth, Atmospheric, and Planetary Sciences, Purdue University
  Wen-wen Tung, Department of Earth, Atmospheric, and Planetary Sciences
  (1123-62-392)
- 4:00 p.m.
  Extraction and Prediction Of Coherent Patterns In Incompressible Flows Through Space-Time Koopman Analysis.
  Dimitrios Giannakis*, Courant Insitute of Mathematical Sciences, New York University
  (1123-76-44)

Sunday October 30, 2016, 9:00 a.m.-11:20 a.m.
Special Session on Modeling and Predicting the Atmosphere, Oceans, and Climate, III
MOH 322, Opus Hall
Organizers:
Sam Stechmann, University of Wisconsin-Madison stechmann@wisc.edu
- 9:00 a.m.
  Assimilating nonlinear Lagrangian data into a high-dimensional ocean model.
  Elaine Spiller*, Marquette University
  (1123-00-291)
- 9:30 a.m.
  Energetics of the Ocean Surface at Low Frequencies in GFDL's CM2-O Model Hierarchy.
  Amanda K O'Rourke*, University of Michigan
  Brian Arbic, University of Michigan
  Stephen Griffies, Princeton University/NOAA GFDL
  (1123-86-125)
- 10:00 a.m.
  A Gaussian-product stochastic Gent-McWilliams parameterization.
  Ian G Grooms*, University of Colorado, Boulder
  (1123-86-11)
- 10:30 a.m.
  Diffusive Boltzmann equation and its fluid dynamics.
  Rafail V Abramov*, University of Illinois at Chicago
  (1123-76-35)
- 11:00 a.m.
  Discussion