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Linkages of Arctic Sea Ice, Cloud Cover, and Surface Temperature from Satellite Observations

Linkages of Arctic Sea Ice, Cloud Cover, and Surface Temperature from Satellite Observations
Abstract Category: 
1.2. Understanding the Linkages and Feedbacks Between the Arctic System Components
Type: 
Parallel
Time: 
16 March 2010 - 3:45pm
Yinghui Liu1, Jeffrey R. Key2, Xuanji Wang3
1Cooperative Institute for Meteorological Satellite Studies , Cooperative Institute for Meteorological Satellite Studies (CIMSS) / Space Scie, 1225 West Dayton St, Rm421, Madison, WI, 53706, USA, yinghuil [at] ssec [dot] wisc [dot] edu
2Center for Satellite Applications and Research, NOAA/NESDIS, Madison, Wisconsin, 1225 West Dayton St, Madison, WI, 53706, USA, jkey [at] ssec [dot] wisc [dot] edu
3Cooperative Institute for Meteorological Satellite Studies (CIMSS) / Space Scien, Madison, WI, USA, xuanjiw [at] ssec [dot] wisc [dot] edu

High latitude climate system contains many complex climate feedbacks, e.g. the albedo-temperature, and surface-cloud feedbacks. Better understanding of the complex interactions between multiple components involved in these feedbacks would improve our understanding of mean climate state, recent dramatic changes, and possible future changes in the high latitudes. With the sharp decrease in Arctic sea ice extent and concentration in recent decades and probable continuous decrease through this century, the impact of sea ice changes along with cloud cover changes on the Arctic surface temperature trends become extremely important. The influence of trends in sea ice concentration (SIC) and cloud cover on trends in surface temperature over the Arctic Ocean from 1982 to 2004 is investigated analytically, and evaluated empirically with satellite products. The results demonstrate that changes in SIC and cloud cover played major roles in the magnitude of recent Arctic surface temperature trends. Significant surface warming associated with sea ice loss, over 0.9 K decade-1, is found over the Chukchi and Beaufort Seas in autumn, accounting for most of the observed 1.1 K decade-1 warming trend. If the SIC over the Arctic Ocean is reduced by half, our analysis shows that the surface temperature will increase by approximately 10 K in winter and 6 K in spring and autumn. In winter, surface temperature trends associated with changes in cloud cover are negative over most of the Arctic Ocean, and with cloud cover trends explaining -0.91 out of -1.2 K decade-1 of the surface temperature cooling. In spring, 0.55 K decade-1 of the total 1.0 K decade-1 warming can be attributed to the trend associated with cloud cover changes. After eliminating the effects of the changes in SIC and cloud cover on surface temperature trends, the residual surface temperature trends can be used in a more robust diagnosis of surface warming or cooling in the Arctic.

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National Science Foundation | Division of Arctic Sciences
National Science Foundation
National Oceanic and Atmospheric Administration
National Oceanic and Atmospheric Administration
International Arctic Systems for Observing the Atmosphere
International Arctic Systems for Observing the Atmosphere
Study of Environmental Arctic Change
Study of Environmental Arctic Change
Arctic System Science Program
Arctic System Science Program
US Arctic Research Commission
US Arctic Research Commission
North Slope Science Initiative
North Slope Science Initiative
International Arctic Science Committee
International Arctic Science Committee
Arctic Ocean Sciences Board
Arctic Ocean Sciences Board
Alaska Ocean Observing System
Alaska Ocean Observing System
Department of Energy
Department of Energy
National Aeronautics and Space Administration
National Aeronautics and Space Administration
World Wildlife Fund
WWF
Association of Polar Early Career Scientists
Association of Polar Early Career Scientists
Bureau of Land Management
Bureau of Land Management
International Study of Arctic Change
International Study of Arctic Change
ArcticNet
ArcticNet
DAMOCLES
Developing Arctic Modeling and Observing Capabilities for Long-term Environmental Studies

This work is supported by the National Science Foundation (NSF) under the ARCUS Cooperative Agreement ARC-0618885. Any opinions, findings, and conclusions or recommendations expressed do not necessarily reflect the views of the NSF.