C027
Integrating Observations and Models to Better Understand a Changing Arctic System II

Wednesday, 9 December 2020: 19:00-20:00
Virtual
Primary Convener:  Marika M Holland, National Center for Atmospheric Research, Boulder, CO, United States
Conveners:  Donald K Perovich, Dartmouth College, Thayer School of Engineering, Hanover, NH, United States, Jennifer E Kay, University of Colorado at Boulder, Cooperative Institute for Research in Environmental Sciences (CIRES), Boulder, CO, United States and Alice K DuVivier, National Center for Atmospheric Research, Boulder, CO, United States
Primary Liaison:  Marika M Holland, Natl Ctr Atmospheric Research, Boulder, CO, United States
Chairs:  Marika M Holland, Natl Ctr Atmospheric Research, Boulder, CO, United States, Donald K Perovich, USA CRREL, Hanover, NH, United States, Jennifer E Kay, University of Colorado at Boulder, Cooperative Institute for Research in Environmental Sciences (CIRES), Boulder, CO, United States and Alice K DuVivier, Univ Colorado, Boulder, CO, United States
OSPA Liaison:  Marika M Holland, Natl Ctr Atmospheric Research, Boulder, CO, United States
19:00
Sea ice at the edge: Seasonal Arctic sea ice in coupled climate models and satellite observations (Invited) (712133)
Lettie Roach, University of Washington, Atmospheric Sciences, Seattle, United States, Cecilia M Bitz, University of Washington, Atmospheric Sciences, Seattle, WA, United States, Edward Blanchard-Wrigglesworth, University of Washington, Seattle, WA, United States, Vincent Cooper, University of Washington Seattle, Atmospheric Sciences, Seattle, WA, United States and Christopher Horvat, Brown University, Providence, RI, United States
19:04
Climate models separated by the marginal ice zone: using CMIP6, large ensembles, and altimetric observations of waves in ice to evaluate sea ice model skill. (686341)
Christopher Horvat, Brown University, Providence, RI, United States and Edward Blanchard-Wrigglesworth, University of Washington, Seattle, WA, United States
19:08
Arctic Sea Ice Sensitivity to Lateral Melting Representation in a Coupled Climate Model (681840)
Madison Smith, Applied Physics Laboratory University of Washington, Seattle, WA, United States, Marika M Holland, Natl Ctr Atmospheric Research, Boulder, CO, United States and Bonnie Light, University of Washington, Seattle, WA, United States
19:12
Is There a Forced Signal in the Recent Reduced Rate of Arctic Sea Ice Loss? (703725)
Patricia DeRepentigny1, Alexandra Jahn1, Marika M Holland2, Michael J Mills3, Simone Tilmes3 and John Fasullo2, (1)University of Colorado Boulder, Atmospheric and Oceanic Sciences and Institute of Arctic and Alpine Research (INSTAAR), Boulder, CO, United States, (2)National Center for Atmospheric Research, Boulder, CO, United States, (3)National Center for Atmospheric Research, Atmospheric Chemistry, Observations, and Modeling Laboratory, Boulder, CO, United States
19:16
Linear Inverse Modeling for Arctic Sea Ice Prediction (685919)
M. Kathleen Brennan, University of Washington, Atmospheric Sciences, Seattle, WA, United States and Gregory J. Hakim, University of Washington, Department of Atmospheric Sciences, Seattle, WA, United States
19:20
Missing Freshwater Found at Depth During the Melt Season in the Canada Basin of the CESM Climate Model (707745)
Erica Jamie Rosenblum1,2, Robert Andrew Fajber3, Julienne Stroeve4, Bruno Tremblay2, Sarah T Gille5, Thiago Loureiro6 and Eddy C Carmack7, (1)University of Manitoba, Winnipeg, MB, Canada, (2)McGill University, Montreal, QC, Canada, (3)University of Toronto, Physics, Toronto, ON, Canada, (4)University College London, London, United Kingdom, (5)UCSD, La Jolla, CA, United States, (6)Toronto, Toronto, Canada, (7)Institute of Ocean Sciences, Sidney, BC, Canada
19:24
Glacier Snowline Altitude Mapping in the Canadian High Arctic Using Feature-Oriented Principle Component Analysis (718043)
Avinash Parla1, Michele N Koppes2 and Nicholas C Coops1, (1)University of British Columbia, Vancouver, BC, Canada, (2)University of British Columbia, Geography, Vancouver, Canada
19:28
Use of Machine Learning to Characterize and Predict Wildfire Activity in Alaska (706654)
James White1, John E Walsh2 and Richard Thoman1, (1)University of Alaska Fairbanks, Fairbanks, AK, United States, (2)University of Alaska Fairbanks, Fairbanks, United States
19:32
Discussion
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