HE44E:
Sea Ice Dynamics and Predictability II Posters
Session ID#: 84695
Session Description:
The evolution of sea ice on seasonal, interannual and decadal timescales is vital to polar oceans and global climate. Bulk sea ice characteristics such as volume, concentration, thickness, floe-size distribution, albedo, melt-pond fraction, and fracture statistics, depend crucially on mechanical and thermodynamical sea ice response to atmospheric and oceanic forcing. Sea-ice predictions are complicated by the lack of optimal models for its deformation and thermodynamics that are appropriate across scales ranging from centimeters to hundreds of kilometers. Further complications arise due to transitions between the continuous and discrete element (i.e., individual floes) nature of sea ice dynamics that occur, for example, in marginal ice zones. Recent rapid increases in both computational capabilities and availability of extensive high-resolution sea-ice observations provide opportunities for developing and testing new mathematical frameworks for sea ice modeling, data assimilation, and prediction. This session invites contributions involving analyses of both remote and in-situ data, as well as numerical and theoretical process modeling to constrain sea-ice growth/melt and mechanical deformation processes in order to improve future sea-ice predictions.
Co-Sponsor(s):
Primary Chair: Georgy E Manucharyan, Yale University, New Haven, United States
Co-chairs: Mary-Louise Timmermans, Yale University, Department of Earth & Planetary Sciences, New Haven, CT, United States and Dimitrios Giannakis, Dartmouth College, Hanover, NH, United States
Primary Liaison: Mary-Louise Timmermans, Yale University, Department of Earth & Planetary Sciences, New Haven, CT, United States
Moderators: Mary-Louise Timmermans, Yale University, Department of Earth & Planetary Sciences, New Haven, CT, United States and Dimitrios Giannakis, Dartmouth College, Hanover, NH, United States
Student Paper Review Liaisons: Dimitrios Giannakis, Dartmouth College, Hanover, NH, United States and Mary-Louise Timmermans, Yale University, Department of Earth & Planetary Sciences, New Haven, CT, United States
Abstracts Submitted to this Session:
Estimation of Arctic Sea Ice Thickness using Passive Microwave (650369)
Daehyeon Han1, Youngjun Kim1, Jungho Im2, SeongMun SIM1, Eunna Jang1 and Hyun Cheol Kim3, (1)Ulsan National Institute of Science and Technology, Urban and Environmental Engineering, Ulsan, South Korea, (2)Ulsan National Institute of Science and Technology, Department of Civil, Urban, Earth, and Environmental Engineering, Ulsan, South Korea, (3)Korea Polar Research Institute, Incheon, Korea, Republic of (South)
Recent behavior of the Nares Strait ice arches: anomalous collapses and enhanced transport of multi-year ice from the Arctic Ocean (640727)
Kent Moore1, Stephen Howell2, Michael Brady2, Kaitlin McNeil3 and Xiaoyong Xu4, (1)University of Toronto, Department of Physics, Toronto, ON, Canada, (2)Environment and Climate Change Canada, Climate Research Division, Toronto, ON, Canada, (3)University of Toronto, Chemical and Physical Sciences, Toronto, ON, Canada, (4)University of Toronto Mississauga, Department of Chemical and Physical Sciences, Mississauga, ON, Canada
An Autumn Arctic Pacific Sea-ice Dipole as a Source of Predictability for Subsequent Spring Barents-Kara Sea-ice Condition (641478)
Yu-Chiao Liang, Woods Hole Oceanographic Institution, Physical Oceanography, Woods Hole, MA, United States, Claude Frankignoul, Sorbonnes Universités LOCEAN, Paris, France and Young-Oh Kwon, Woods Hole Oceanographic Institution, Physical Oceanography Department, Woods Hole, United States
Skillful seasonal predictions of Antarctic sea ice in a dynamical forecast system (Invited) (654383)
Mitchell Bushuk, Geophysical Fluid Dynamics Laboratory, Princeton, NJ, United States, Michael Winton, NOAA Geophys Fluid Dynamic, Princeton, NJ, United States and Alexander Haumann, Princeton University, Princeton, United States
Modeling Seasonal and Interannual Variability of Great Lakes Ice Cover using FVCOM+ice+wave Model (641971)
Jia Wang, NOAA Great Lakes Environmental Research Laboratory, Ann Arbor, United States, Peng Bai, Cooperative Institute for Great Lakes Research, University of Michigan, Ann Arbor, United States, Ayumi Fujisaki-Manome, Cooperative Institute for Great Lakes Research, Ann Arbor, MI, United States, James Andrew Kessler, NOAA, Great Lakes Environmental Research Laboratory, Ann Arbor, MI, United States and Philip Chu, NOAA, United States
Constraining Wave Dissipation and Non-Linear Interactions in The Marginal Ice Zone (646448)
Dany Dumont1, Jeremy Baudry2, Peter Sutherland3 and Luc Barast3, (1)Université du Québec à Rimouski (UQAR), Institut des sciences de la mer de Rimouski (ISMER), Rimouski, QC, Canada, (2)Institut des sciences de la mer, Université du Québec à Rimouski, Rimouski, QC, Canada, (3)IFREMER, Univ. Brest, CNRS, IRD, IUEM, Laboratoire d’Océanographie Physique et Spatiale (LOPS), Brest, France
Machine learning approaches for inferring large-scale sea ice rheology from Lagrangian and Eulerian data (655797)
Dimitrios Giannakis1, Georgy E Manucharyan2, Joanna Slawinska3 and Suddhasattwa Das1, (1)New York University, Courant Institute of Mathematical Sciences, New York, NY, United States, (2)University of Washington Seattle Campus, School of Oceanography, Seattle, United States, (3)University of Wisconsin-Milwaukee, Department of Physics, Milwaukee, WI, United States
Parameter Optimization in a Sea Ice Model with Elasto-Visco-Plastic (EVP) Rheology (639397)
Gleb Panteleev, Naval Research Laboratory, Stennis Space center, MS, United States, Max Yaremchuk, Naval Research Lab, Stennis Space Center, MS, United States, Jacob Stroh, University of Alaska Fairbanks, Fairbanks, United States, Oceana Puananilei Francis, University of Hawaii, Honolulu, United States and Richard Arthur Allard, Naval Research Laboratory, Ocean Sciences Division, Stennis Space Center, MS, United States
