The influence of cloud cover on the radiation budget, physical properties, and microwave scattering coefficient (σ°) of first-year and multiyear sea ice

Over sea ice, the shift from predominantly clear conditions in winter to persistent stratus cloud cover in late spring and early summer coincides with a dramatic increase in the net radiation balance at the sea ice surface. Transformation of the boundary layer climate and the geophysical properties of the snow covered sea ice result from this cloud-induced rise in surface energy balance. In this paper, in situ data from the Seasonal Sea Ice Monitoring the Modeling Site (SIMMS'93) experiment are used to examine the extent to which changes in surface radiation, sea ice physical and electrical properties, and microwave scattering are a function of clear versus cloudy conditions over first-year and multiyear sea ice types. The authors use the surface observations to drive a simple forward scattering model used to diagnose the potential mechanisms responsible for the observed changes in microwave scattering by the Earth Resources Satellite-1 (ERS-1). Their results indicate that under cloudy conditions the surface temperature increases because of the surplus in the longwave net radiative energy. This causes an increase in the surface temperature and formation of a temperature wave down through the snow volume into the ice surface. This increases the dielectric constant of the snow basal layer and ice surface over first-year sea ice because of the thin snow cover (relative to the thicker multiyear ice snow cover) and because of the temperature effect on brine volume. The observed increase in scattering is limited to very smooth first-year sea ice types. Models used to diagnose the principal scattering mechanisms suggest that the cloud cover effects the scattering either by creating a dielectrically rough basal layer in the snow volume near the ice surface or by increasing the scattering contribution from snow grains within the basal layer volume. Under either scenario the increase in scattering is small (/spl sim/5 dB) and is only detectable if the target presents a scattering magnitude less than about -20 dB.

[1]  G. Maykut Energy exchange over young sea ice in the central Arctic , 1978 .

[2]  L. Tsang,et al.  Sea-ice characterization measurements needed for testing of microwave remote sensing models , 1989 .

[3]  David G. Barber,et al.  On the Links between Microwave and Solar Wavelength Interactions with Snow-Covered First-Year Sea Ice , 1994 .

[4]  C. Livingstone,et al.  Microwave Sea-Ice Signatures near the Onset of Melt , 1987, IEEE Transactions on Geoscience and Remote Sensing.

[5]  M. Nakawo,et al.  Growth Rate and Salinity Profile of First-Year Sea Ice in the High Arctic , 1981 .

[6]  M. Drinkwater LIMEX '87 ice surface characteristics: implications for C-band SAR backscatter signatures , 1989 .

[7]  R. Bradley,et al.  Radiation and Cloud Observations on a High Arctic Plateau Ice Cap , 1987, Journal of Glaciology.

[8]  J. Curry,et al.  Mean and turbulence structure of the summertime Arctic cloudy boundary layer , 1988 .

[9]  Saibun Tjuatja,et al.  Laboratory measurements of radar backscatter from bare and snow-covered saline ice sheets , 1995 .

[10]  R. Greenberg Biometry , 1969, The Yale Journal of Biology and Medicine.

[11]  Judith A. Curry,et al.  Annual Cycle of Radiation Fluxes over the Arctic Ocean: Sensitivity to Cloud Optical Properties , 1992 .

[12]  David G. Barber,et al.  Statistical characterization of the geophysical and electrical properties of snow on Landfast first-year sea ice , 1995 .

[13]  Son V. Nghiem,et al.  Polarimetric signatures of sea ice. 1: Theoretical model , 1995 .

[14]  R G Onstott,et al.  Theoretical and Experimental Study of Radar Backscatter from Sea Ice , 1984 .

[15]  David G. Barber,et al.  On the relationship between energy fluxes, dielectric properties, and microwave scattering over snow covered first‐year sea ice during the spring transition period , 1994 .

[16]  David G. Barber,et al.  Potential of RADARSAT for Sea ICE Applications , 1993 .

[17]  David G. Barber,et al.  The SIMMS Program: A Study of Change and Variability within the Marine Cryosphere , 1994 .