C43B:
Polar Climate: Processes and Predictability II Posters

Thursday, 18 December 2014: 1:40 PM-6:00 PM
Chairs:  Cecilia M Bitz, Univ of Washington, Seattle, WA, United States and Marilyn N Raphael, UCLA, Los Angeles, CA, United States
Primary Conveners:  Cecilia M Bitz, Univ of Washington, Seattle, WA, United States
Co-conveners:  Sarah T Gille, UCSD, La Jolla, CA, United States, Marilyn N Raphael, UCLA, Los Angeles, CA, United States and Ed Hawkins, University of Reading, Reading, United Kingdom
OSPA Liaisons:  Marilyn N Raphael, University of California Los Angeles, Los Angeles, CA, United States

Abstracts Submitted to this Session:

 
Recent Patterns of Antarctic Surface Air Temperature Trends in the Context of Natural Variability, as Simulated by the CMIP5 Models
Karen L Smith1, Lorenzo M Polvani2 and Ana de O. Lobo2, (1)Lamont -Doherty Earth Observatory, Palisades, NY, United States, (2)Columbia University, New York, NY, United States
 
Links Between the Amundsen Sea Low and the Sea Ice Variability in the Ross Sea.
Marilyn N Raphael, UCLA, Los Angeles, CA, United States, Marika M Holland, Natl Ctr Atompsheric Research, Boulder, CO, United States and Laura Landrum, NCAR, Boulder, CO, United States
 
Variations of Antarctic Oscillation during the past millennium and the twenty first century
Song Feng1, Zhiping Long2, Seong-Joong Kim3 and Yongjun Zhang1, (1)University of Arkansas, Fayetteville, AR, United States, (2)LZU Lanzhou University, Lanzhou, China, (3)KOPRI Korea Polar Research Institute, Incheon, South Korea
 
A closer look at the wintertime Antarctic sea ice trend with a focus on the Ross Sea
Chueh-Hsin Chang, Research Center for Environmental Changes Academia Sinica, Taipei, Taiwan and Nathaniel C Johnson, University of Hawaii at Manoa, Honolulu, HI, United States
 
Characterizing dominant climatic oscillations in Antarctic Surface mass balance
Kishore Pangaluru, University of California, Irvine, CA, United States, Isabella Velicogna, University of California Irvine, Irvine, CA, United States, Tyler C Sutterley, University of California Irvine, Department of Earth System Science, Irvine, CA, United States and Michiel R van den Broeke, Utrecht University, Utrecht, Netherlands
 
How Well Does Natural Variability Explain the Difference Between Observed and Modeled Sea Ice Trends in Both Hemispheres?
Erica Jamie Rosenblum, Scripps Institution of Oceanography, La Jolla, CA, United States and Ian Eisenman, University of California San Diego, Scripps Institution of Oceanography, La Jolla, CA, United States
 
Impact of Freshwater Fluxes on Labrador Sea Dynamics in the Regional Arctic System Model
Saffia Hossainzadeh, University of California Santa Cruz, Santa Cruz, CA, United States, Wieslaw Maslowski, Naval Postgraduate School, Monterey, CA, United States, Robert Osinski, The Institute of Oceanology Polish Academy of Sciences, Sopot, Poland and Slawek M Tulaczyk, Univ California Santa Cruz, Santa Cruz, CA, United States
 
Is Arctic Transpolar Drift Predictable?
Vladimir A Alexeev, University of Alaska Fairbanks, Fairbanks, AK, United States, Marie-Luise Kapsch, Stockholm University, Stockholm, Sweden and Vladimir Ivanov, Arctic and Antarctic Research Institute, St.Petersburg, Russia
 
Investigating the atmospheric response to future sea ice loss in the western Arctic using a fully coupled global climate model
Melissa Gervais, Bruno Tremblay, John R Gyakum and Eyad Atallah, McGill University, Montreal, QC, Canada
 
The climate response to sudden sea ice loss in CCSM4
Russell Blackport and Paul J Kushner, University of Toronto, Department of Physics, Toronto, ON, Canada
 
Sensitivity of Modeled Far-IR Radiation Budgets in Polar Continents to Treatments of Snow Surface and Ice Cloud Radiative Properties
Xiuhong Chen, Xianglei Huang and Mark Flanner, University of Michigan, Ann Arbor, MI, United States
 
September Arctic sea ice minimum predicted by spring melt pond fraction
David Schroeder, Daniel Lee Feltham, Daniela Flocco and Michel Tsamados, University of Reading, Reading, United Kingdom
 
A New Variable Resolution Sea-ice Model
Adrian K Turner1, Douglas Jacobsen1 and Elizabeth C Hunke2, (1)Los Alamos National Laboratory, Los Alamos, NM, United States, (2)Los Alamos National Laboratory, T-3 Fluid Dynamics and Solid Mechanics Group, Los Alamos, NM, United States
 
Assessment of Sea Ice Predictability in CMIP5 Decadal Hindcasts
Jiping LIU and Chao-Yuan Yang, SUNY at Albany, Albany, NY, United States
 
The Arctic in the Anthropocene: a Report from the National Academy of Sciences
Lauren M Everett, National Academy of Sciences, Polar Research Board, Washington, DC, United States, Henry P Huntington, The Pew Charitable Trusts, Eagle River, AK, United States and Stephanie L Pfirman, Barnard College, Closter, NJ, United States
 
Arctic Sea Ice Predictability and the Sea Ice Prediction Network
Helen V Wiggins, ARCUS, Fairbanks, AK, United States and Julienne Christine Stroeve, University College London, Centre for Polar Observations and Modelling, London, United Kingdom
 
Seasonal Prediction of Arctic Sea Ice by a Linear Markov Model
Xiaojun Yuan, Lamont-Doherty Earth Observ, Palisades, NY, United States, Dake Chen, Second Institute of Oceanography, State Oceanographic Administration of China, Hangzhou, China and Cuihua Li, Lamont Doherty Earth Observ, Palisades, NY, United States
 
Development of Stochastic Seasonal Prediction Model of Arctic Sea Ice Concentration
Ha-Rim Kim1, Yong-Sang Choi1 and Yoojin Kim2, (1)Ewha Womans University, Atmospheric Science and Engineering, Seoul, South Korea, (2)Center for Climate/Environment Change Prediction Research, Seoul, South Korea
 
Arctic Sea Ice Reemergence: The Role of Large-Scale Oceanic and Atmospheric Variability
Mitchell Bushuk, Dimitrios Giannakis and Andrew Majda, New York University, New York, NY, United States
 
Estimation of Sea Ice Thickness through Maximum Covariance Analysis
Arlan Dirkson1, Adam H Monahan1 and William J Merryfield2, (1)University of Victoria, Victoria, BC, Canada, (2)Canadian´┐Ż Centre for Climate Modelling and Analysis, Victoria, BC, Canada
 
Summer Arctic Sea Ice Intra-Seasonal Predictability Using a Vector Auto-Regressive Model
Lei Wang, Lamont -Doherty Earth Observatory, Palisades, NY, United States, Xiaojun Yuan, Lamont-Doherty Earth Observ, Palisades, NY, United States and Mingfang Ting, Lamont Doherty Earth Observ, Palisades, NY, United States
 
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