Estimating the cloudy-sky albedo of sea ice and snow from space

While satellites provide the means to monitor the temporal and spatial variability of surface albedo, their use has been limited to clear-sky areas because clouds obscure the surface at wavelengths in the solar spectrum. However, the effect of clouds on the surface albedo, especially that of snow and ice, is significant and should be considered in satellite retrievals. In this paper theoretical and observational evidence is given that shows the snow/ice albedo to be on the average 4-6% (absolute) higher under cloud cover than for clear skies, with a range of slightly less than 0 to approximately 15%. A method for retrieving the clear-sky broadband albedo of snow/ice from the advanced very high resolution radiometer is presented, and an adjustment for cloud optical depth is proposed. The cloudy-sky adjustment is independent of sensor type and could also be used with nonsatellite data sets. An application of the algorithm to data from the Surface Heat Budget of the Arctic Ocean experiment demonstrates that clear- and cloudy-sky snow surface albedo can be obtained from space with an uncertainty of approx- imately 7% absolute. While it may be sufficient to adjust a monthly clear-sky surface albedo climatology for clouds by incorporating the mean cloud effect of approximately 5%, adjust- ments for cloud optical depth should be performed with instantaneous retrievals. The extent to which the surface reflects incoming solar radi- ation is a critical factor in the surface radiation balance and the surface energy balance overall. The degree of reflection is commonly expressed as the ratio of upwelling to downwelling shortwave fluxes and is termed the "albedo." Surface albedo varies by surface type, surface conditions, solar zenith angle, and atmospheric composition. The broadband (solar spectrum) albedo of unfrozen ocean is between 0.05 and 0.2 (5-20%), depending on the solar zenith angle. Vegetation albedo is of the order of 0.1, depending on the vegetation state, soil type, and soil moisture content. Snow albedo varies from 0.5 to 0.9 and is strongly affected by the illumination angle, grain size, and soot content, which are largely a function of age. In the Arctic the albedo of the sea ice pack can vary from 0.1 for open water portions, to 0.2-0.3 for melt ponds on the ice, to 0.9 for fresh snow cover.

[1]  Charles Fowler,et al.  Intercomparison between in situ and AVHRR polar pathfinder-derived surface Albedo over Greenland , 2001 .

[2]  Jeffrey R. Key,et al.  Cloud Particle Phase Determination with the AVHRR. , 2000 .

[3]  Knut Stamnes,et al.  Remote Sensing of Surface and Cloud Properties in the Arctic from AVHRR Measurements , 1999 .

[4]  G. Gutman,et al.  Mapping global land surface albedo from NOAA AVHRR , 1999 .

[5]  E. Vermote,et al.  A Method to Retrieve the Reflectivity Signature at 3.75 μm from AVHRR Data , 1998 .

[6]  J. Key,et al.  Tools for Atmospheric Radiative Transfer: Streamer and FluxNet. Revised , 1998 .

[7]  Konrad Steffen,et al.  Comparison of AVHRR-derived and in situ surface albedo over the greenland ice sheet , 1997 .

[8]  Michael J. Barnsley,et al.  Global retrieval of bidirectional reflectance and albedo over land , 1997 .

[9]  AVHRR-based Polar Pathfinder products for modeling applications , 1997 .

[10]  Zhanqing Li On the angular correction of satellite radiation measurements: The performance of ERBE angular dependence model in the Arctic , 1996 .

[11]  Jeffrey R. Key Retrieval of cloud optical depth and particle effective radius at high latitudes using visible and thermal satellite data , 1995, Remote Sensing.

[12]  Herbert Jacobowitz,et al.  Impact of Scene Dependence on AVHRR Albedo Models , 1995 .

[13]  J. Curry,et al.  Surface Heat Budget of the Arctic Ocean (SHEBA) , 1995 .

[14]  Ron Lindsay,et al.  Arctic sea ice albedo from AVHRR , 1994 .

[15]  Zhanqing Li,et al.  Estimation of surface albedo from space: A parameterization for global application , 1994 .

[16]  Jeffrey R. Key,et al.  Comparison of In Situ and AVHRR-Derived Broadband Albedo over Arctic Sea Ice , 1994 .

[17]  Jianhua Chen,et al.  Calibration of the visible and near-infrared channels of the advanced very high resolution radiometer (AVHRR) after launch , 1993, Defense, Security, and Sensing.

[18]  C. Rao,et al.  Degradation of the visible and near-infrared channels of the advanced very high resolution radiometer on the NOAA-9 spacecraft : assessment and recommendations for corrections , 1993 .

[19]  Zhanqing Li,et al.  Narrowband to Broadband Conversion with Spatially Autocorrelated Reflectance Measurements , 1992 .

[20]  D. Hall,et al.  Satellite-derived reflectance of snow-covered surfaces in Northern Minnesota , 1990 .

[21]  M. King,et al.  Determination of the optical thickness and effective particle radius of clouds from reflected solar , 1990 .

[22]  Peter Koepke,et al.  Removal of Atmospheric Effects prom AVHRR Albedos , 1989 .

[23]  Patrick Minnis,et al.  Angular radiation models for Earth-atmosphere system. Volume 1: Shortwave radiation , 1988 .

[24]  K. Stamnes,et al.  Numerically stable algorithm for discrete-ordinate-method radiative transfer in multiple scattering and emitting layered media. , 1988, Applied optics.

[25]  Larry L. Stowe,et al.  Reflectance characteristics of uniform Earth and cloud surfaces derived from NIMBUS‐7 ERB , 1984 .

[26]  Donald K. Perovich,et al.  Spectral albedos of sea ice and incident solar irradiance in the southern Beaufort Sea , 1984 .

[27]  J. Blanchet,et al.  Estimation of optical properties of arctic haze using a numerical model , 1983 .