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Meteorological Factors Controlling Year-to-Year Variations in the Spring Onset of Snow Melt Over the Arctic Ocean

Meteorological Factors Controlling Year-to-Year Variations in the Spring Onset of Snow Melt Over the Arctic Ocean
Abstract Category: 
1.2. Understanding the Linkages and Feedbacks Between the Arctic System Components
Type: 
Poster
Elena Maksimovich1, Jean Claude Gascard2, Timo Vihma3
1LOCEAN, Paris, France, Elena [dot] Maksimovich [at] locean-ipsl [dot] upmc [dot] fr
2CNRS, LOCEAN, Paris, France, gascard [at] locean-ipsl [dot] upmc [dot] fr
3FMI, Helsinki, Finland, timo [dot] vihma [at] fmi [dot] fi

The spring onset of snow melt on the Arctic sea ice shows large inter-annual variability. Surface melt triggers positive feedback mechanisms between the albedo, snow properties and thickness, as well as sea ice thickness. Hence, it is important to quantify the factors contributing to inter-annual variability of the melt onset (MO) in various parts of the Arctic Ocean. Meteorological factors controlling surface heat budget and surface melting/freezing are the shortwave and longwave radiative fluxes and the turbulent fluxes of sensible and latent heat. These fluxes depend on the weather conditions, including the radiative impact of clouds, heat advection and wind speed.

We make use of SSM/I-based MO time series (Markus, Miller and Stroeve) and the ECMWF ERA Interim reanalysis on the meteorological conditions and surface fluxes, both data sets spanning the period 1989-2008 and covering recent years with a rapid sea ice decline. The advantage is that SSM/I-based MO time series are independent of the ERA-Interim data. Our objective is to investigate if there exists a physically consistent and statistically significant relationship between MO timing and corresponding meteorological conditions.

Results based on the regression analysis between the MO timing and seasonal anomalies of surface longwave radiative fluxes reveal strong relationships. Synoptic scale anomalies in downward longwave radiation are essential in the Western Arctic. Regarding longer history (20-60 days), the contribution from both upward and downward longwave radiative fluxes is distinct and conservative in time. Sensible and latent heat fluxes affect surface melt timing in the Beaufort Sea and in the Atlantic sector of the Arctic Basin.

The turbulent surface fluxes in spring are relatively weak, of the order of 1-10W/m2, compared to the downward shortwave and longwave radiative fluxes, which are of the order of 100-150W/m2. As soon as data uncertainties are comparable to the anomaly in turbulent fluxes, statistical relationships found between MO timing and preceding anomaly in turbulent fluxes do not necessarily prove their reasonal-causal relationship. Further investigation of meteorological forcing on snow surface melt onset and corresponding summer sea ice conditions is under way.

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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.