Sea ice concentration satellite retrievals influenced by surface changes due to warm air intrusions: A case study from the MOSAiC expedition

Author:

Rückert Janna E.12ORCID,Rostosky Philip12,Huntemann Marcus1,Clemens-Sewall David3,Ebell Kerstin4,Kaleschke Lars5,Lemmetyinen Juha6,Macfarlane Amy R.7,Naderpour Reza8,Stroeve Julienne91011,Walbröl Andreas4,Spreen Gunnar1

Affiliation:

1. 1Institute of Environmental Physics, University of Bremen, Bremen, Germany

2. †These authors contributed equally to this work.

3. 2Thayer School of Engineering, Dartmouth College, Hanover, NH, USA

4. 3Institute for Geophysics and Meteorology, University of Cologne, Cologne, Germany

5. 4Alfred-Wegener-Institut Helmholtz-Zentrum für Polar und Meeresforschung, Bremerhaven, Germany

6. 5Space and Earth Observation Centre, Finnish Meteorological Institute, Helsinki, Finland

7. 6Institute for Snow and Avalanche Research SLF, Davos, Switzerland

8. 7Eidg. Forschungsanstalt für Wald, Schnee und Landschaft WSL, Birmensdorf, Switzerland

9. 8University of Manitoba, Winnipeg, Manitoba, Canada

10. 9University College London, London, UK

11. 10National Snow and Ice Data Center, Cooperative Institute for Research in Environmental Sciences, University of Colorado at Boulder, Boulder, CO, USA

Abstract

Warm air intrusions over Arctic sea ice can change the snow and ice surface conditions rapidly and can alter sea ice concentration (SIC) estimates derived from satellite-based microwave radiometry without altering the true SIC. Here we focus on two warm moist air intrusions during the Multidisciplinary drifting Observatory for the Study of Arctic Climate (MOSAiC) expedition that reached the research vessel Polarstern in mid-April 2020. After the events, SIC deviations between different satellite products, including climate data records, were observed to increase. Especially, an underestimation of SIC for algorithms based on polarization difference was found. To examine the causes of this underestimation, we used the extensive MOSAiC snow and ice measurements to model computationally the brightness temperatures of the surface on a local scale. We further investigated the brightness temperatures observed by ground-based radiometers at frequencies 6.9 GHz, 19 GHz, and 89 GHz. We show that the drop in the retrieved SIC of some satellite products can be attributed to large-scale surface glazing, that is, the formation of a thin ice crust at the top of the snowpack, caused by the warming events. Another mechanism affecting satellite products, which are mainly based on gradient ratios of brightness temperatures, is the interplay of the changed temperature gradient in the snow with snow metamorphism. From the two analyzed climate data record products, we found that one was less affected by the warming events. The low frequency channels at 6.9 GHz were less sensitive to these snow surface changes, which could be exploited in future to obtain more accurate retrievals of sea ice concentration. Strong warm air intrusions are expected to become more frequent in future and thus their influence on SIC algorithms will increase. In order to provide consistent SIC datasets, their sensitivity to warm air intrusions needs to be addressed.

Publisher

University of California Press

Subject

Atmospheric Science,Geology,Geotechnical Engineering and Engineering Geology,Ecology,Environmental Engineering,Oceanography

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