C036-04
Sea Ice Deformation at MOSAiC

Friday, 11 December 2020: 04:12
Virtual
Jennifer K Hutchings1, Rajlaxmi Basu2, Bin Cheng3, Polona Itkin4, Ruibo Lei5, Jari Juhani Haapala3, Christian Haas6, Mario Hoppmann7, Phil Byongjun Hwang8, Luisa von Albedyll9 and Daniel Watkins10, (1)University of Alaska Fairbanks, Fairbanks, AK, United States, (2)University of Huddersfield, Huddersfield, England, United Kingdom, (3)Finnish Meteorological Institute, Helsinki, Finland, (4)UiT The Arctic University of Norway, Tromsø, Norway, (5)Polar Research Institute of China, Shanghai, China, (6)Alfred Wegener Institute Helmholtz-Center for Polar and Marine Research Bremerhaven, Bremerhaven, Germany, (7)Alfred-Wegener-Institute, Oldenburg, Germany, (8)Scottish Association for Marine Science, Oban, United Kingdom, (9)Alfred Wegener Institute Helmholtz-Center for Polar and Marine Research, sea ice physics, Bremerhaven, Germany, (10)Oregon State University, Corvallis, OR, United States
Abstract:
Sea ice drift and deformation, on various scales is a crucial component in shaping the ice cover of the polar oceans. Yet we do not fully understanding in its seasonal evolution and the role of ice age and changing intensity and number of cyclones in drift rate and morpological change. An array of >95 GPS drifting buoys and 11 ice stations was deployed as a Distributed Network around the MOSAiC Central Observatory in order to capture the scales of sea ice motion between hundreds of meters to up to 200 kilometers. Here we present the resulting time series of deformation observed during an almost year-long drift of this array, it's spectral and fractal scaling properties, and the time evolution of these synoptically and seasonally. The impact of GPS position error on deformation estimation, which can affect identification of the spectral properties at scales below 10km, is outlined. As the largest ever deformation array of its kind, this unprecedented dataset will enable tracking of the evolving ice morphology to facilitate up-scaling of physical, biological and chemical processes that are controlled by the nature of the ice and snow surface. Hence, this study contributes to a better understanding of the role of sea ice dynamics and deformation in an Arctic Ocean rapidly changing to seasonal ice cover.