• Allison, I., , R. E. Brandt, , and S. G. Warren. 1993:. East Antarctic sea ice: Albedo, thickness distribution, and snow cover. J. Geophys. Res. 98:1241712429.

    • Search Google Scholar
    • Export Citation
  • Anderson, G. P., , S. A. Clough, , F. X. Kneizys, , J. H. Chetwynd, , and E. P. Shettle. 1986:. AFGL Atmospheric Constituent Profiles (0–120 km). Air Force Geophysics Laboratory Tech. Rep. AFGL-TR-86-0110 (OPI), 43 pp.

    • Search Google Scholar
    • Export Citation
  • Aoki, T., , T. Aoki, , M. Fukabori, , A. Hachikubo, , Y. Tachibana, , and F. Nishio. 2000:. Effects of snow physical parameters on spectral albedo and bidirectional reflectance of snow surface. J. Geophys. Res. 105:1021910236.

    • Search Google Scholar
    • Export Citation
  • Blanchet, J., and R. List. 1983:. Estimation of optical properties of Arctic haze using a numerical model. Atmos.–Ocean 21:444465.

  • Briegleb, B. P., , P. Minnis, , V. Ramanathan, , and E. Harrison. 1986:. Comparison of regional clear-sky albedos inferred from satellite observations and model calculations. J. Climate Appl. Meteor. 25:214226.

    • Search Google Scholar
    • Export Citation
  • Clarke, A. D., and K. J. Noone. 1985:. Soot in the Arctic snowpack: A cause for perturbations in radiative transfer. Atmos. Environ. 19:20452053.

    • Search Google Scholar
    • Export Citation
  • Csiszar, C., and G. Gutman. 1999:. Mapping global land surface albedo from NOAA AVHRR. J. Geophys. Res. 104:62156228.

  • Curry, J. A., , W. B. Rossow, , D. Randall, , and J. L. Schramm. 1996:. Overview of Arctic cloud and radiation characteristics. J. Climate 9:17311764.

    • Search Google Scholar
    • Export Citation
  • De Abreu, R. A., , J. Key, , J. A. Maslanik, , M. C. Serreze, , and E. F. LeDrew. 1994:. Comparison of in situ and AVHRR-derived broadband albedo over Arctic sea ice. Arctic 47:288297.

    • Search Google Scholar
    • Export Citation
  • Han, W., , K. Stamnes, , and D. Lubin. 1999:. Remote sensing of surface and cloud properties in the Arctic from NOAA AVHRR measurements. J. Appl. Meteor. 38:9891012.

    • Search Google Scholar
    • Export Citation
  • Jin, Z., and J. J. Simpson. 1999:. Bidirectional anisotropic reflectance of snow and sea ice in AVHRR channels 1 and 2 spectral regions—Part I: Theoretical analysis. IEEE Trans. Geosci. Remote Sens. 37:543554.

    • Search Google Scholar
    • Export Citation
  • Jin, Z., and J. J. Simpson. . 2000:. Bidirectional anisotropic reflectance of snow and sea ice in AVHRR channels 1 and 2 spectral regions—Part II: Correction applied to imagery of snow on sea ice. IEEE Trans. Geosci. Remote Sens. 38:9991015.

    • Search Google Scholar
    • Export Citation
  • Knap, W. H., and J. Oerlemans. 1996:. The surface albedo of the Greenland ice sheet: Satellite-derived and in situ measurement in the Sondre Stromfjord and during the 1991 melt season. J. Glaciol. 42:364374.

    • Search Google Scholar
    • Export Citation
  • Knap, W. H., , B. W. Brock, , J. Oerlemans, , and I. C. Wills. 1999:. Comparison of Landsat TM-derived and ground-based albedos of Hunt Glacier d'Arolla, Switzerland. Int. J. Remote Sens. 20:32933310.

    • Search Google Scholar
    • Export Citation
  • Koepke, P. 1989:. Removal of atmospheric effects from AVHRR albedos. J. Appl. Meteor. 28:13441348.

  • Langleben, M. P. 1971:. Albedo of melting sea ice in the southern Beaufort Sea. J. Glaciol. 10:101104.

  • Li, Z., and H. G. Leighton. 1992:. Narrowband to broadband conversion with spatially autocorrelated reflectance measurement. J. Appl. Meteor. 31:421433.

    • Search Google Scholar
    • Export Citation
  • Lindsay, R. W., and D. A. Rothrock. 1994:. Arctic sea ice albedo from AVHRR. J. Climate 7:17371749.

  • Lubin, D., and P. J. Weber. 1995:. The use of cloud reflectance functions with satellite data for surface radiation budget estimation. J. Appl. Meteor. 34:13331347.

    • Search Google Scholar
    • Export Citation
  • McClatchey, R. A., , R. W. Fenn, , J. E. A. Selby, , F. E. Volz, , and J. S. Garing. 1971:. Optical properties of the atmosphere. Air Force Cambridge Research Laboratory Rep. AFCRL-71-0279, 85 pp.

    • Search Google Scholar
    • Export Citation
  • Penndorf, R. 1957:. Tables of the refractive index for standard air and the Rayleigh scattering coefficient for the spectral region between 0.2–20 μm and their application to atmospheric optics. J. Opt. Soc. Amer. 47:176182.

    • Search Google Scholar
    • Export Citation
  • Perovich, D. K. Coauthors,. 1999:. SHEBA. Snow and Ice Studies,. CRREL, CD-ROM. [Available from D. Perovich, CRREL, 72 Lyme Road, Hanover, NH 03755.].

    • Search Google Scholar
    • Export Citation
  • Rao, C. R. N., and J. Chen. 1996:. Post-launch calibration of the visible and near-infrared channels of the Advanced Very High Resolution Radiometer on the NOAA-14 spacecraft. Int. J. Remote Sens. 17:27432747.

    • Search Google Scholar
    • Export Citation
  • Rao, C. R. N., and J. Chen. . 1999:. Revised post-launch calibration of the visible and near-infrared channels of the Advanced Very High Resolution Radiometer (AVHRR) on the NOAA-14 spacecraft. Int. J. Remote Sens. 20:34853491.

    • Search Google Scholar
    • Export Citation
  • Saunders, R. W. 1990:. The determination of broad band surface albedo from AVHRR visible and near-infrared radiances. Int. J. Remote Sens. 11:4967.

    • Search Google Scholar
    • Export Citation
  • Song, J., and W. Gao. 1999:. An improved method to derive surface albedo from narrowband AVHRR satellite data: Narrowband to broadband conversion. J. Appl. Meteor. 38:239249.

    • Search Google Scholar
    • Export Citation
  • Stamnes, K. 1982:. Reflection and transmission by a vertically inhomogeneous planetary atmosphere. Planet. Space Sci. 30:727732.

  • Stamnes, K., , S. C. Tsay, , W. Wiscombe, , and K. Jayaweera. 1988:. Numerically stable algorithm for discrete-ordinate-method radiative transfer in multiple scattering and emitting layered media. Appl. Opt. 27:25022509.

    • Search Google Scholar
    • Export Citation
  • Stamnes, K., , R. G. Ellingson, , J. A. Curry, , J. E. Walsh, , and B. D. Zak. 1999:. Review of science issues and deployment strategies for the north slope of Alaska/adjacent Arctic Ocean (NSA/AAO) ARM site. J. Climate 12:14131423.

    • Search Google Scholar
    • Export Citation
  • Stroeve, J., , A. Nolin, , and K. Steffen. 1997:. Comparison of AVHRR-derived and in situ surface albedo over the Greenland ice sheet. Remote Sens. Environ. 62:262276.

    • Search Google Scholar
    • Export Citation
  • Stroeve, J., , E. B. Box, , C. Fowler, , T. Haran, , and J. Key. 2001:. Intercomparison between in situ and AVHRR Polar Pathfinder–derived surface albedo over Greenland. Remote Sens. Environ. 75:360374.

    • Search Google Scholar
    • Export Citation
  • Suttles, J. T. Coauthors,. 1988:. Angular radiation models for earth–atmosphere system. Vol. 1, Shortwave radiation, NASA Ref. Pub. 1184, 144 pp.

    • Search Google Scholar
    • Export Citation
  • Taylor, V. R., and L. L. Stowe. 1984:. Atlas of reflectance patterns for uniform earth and cloud surfaces (NIMBUS-7ERB-61 days). NOAA Tech. Rep. NESDIS 10, 66 pp.

    • Search Google Scholar
    • Export Citation
  • Thomas, G. E., and K. Stamnes. 1999:. Radiative transfer in the Atmosphere and Ocean. Cambridge University Press, 517 pp.

  • Toll, D. L., , D. Shirey, , and D. S. Kimes. 1997:. NOAA AVHRR land surface albedo algorithm development. Int. J. Remote Sens. 18:37613796.

    • Search Google Scholar
    • Export Citation
  • Tsay, S. C., , K. Stamnes, , and K. Jayaweera. 1989:. Radiative energy budget in the cloudy and hazy Arctic. J. Atmos. Sci. 46:10021017.

  • Tsay, S. C., , K. Stamnes, , and K. Jayaweera. . 1990:. Radiative transfer in stratified atmospheres: Development and verification of a unified model. J. Quant. Spectrosc. Radiat. Transfer 43:133148.

    • Search Google Scholar
    • Export Citation
  • Warren, S. G. 1982:. Optical properties of snow. Rev. Geophys. Space Phys. 20:6789.

  • Warren, S. G., and W. J. Wiscombe. 1980:. A model for the spectral albedo of snow. II: Snow containing atmospheric aerosols. J. Atmos. Sci. 37:27342745.

    • Search Google Scholar
    • Export Citation
  • Xiong, X. 2000:. Cloud and surface properties and the solar radiation budget derived from satellite data over the Arctic Ocean: Comparison with surface measurements and in situ aircraft data. Ph.D dissertation, University of Alaska Fairbanks, 217 pp.

    • Search Google Scholar
    • Export Citation
All Time Past Year Past 30 Days
Abstract Views 0 0 0
Full Text Views 180 180 9
PDF Downloads 36 36 2

Surface Albedo over the Arctic Ocean Derived from AVHRR and Its Validation with SHEBA Data

View More View Less
  • a Geophysical Institute, University of Alaska Fairbanks, Fairbanks, Alaska
  • | b Stevens Institute of Technology, Hoboken, New Jersey
  • | c Scripps Institution of Oceanography, University of California, San Diego, La Jolla, California
© Get Permissions Rent on DeepDyve
Restricted access

Abstract

A method is presented for retrieving the broadband albedo over the Arctic Ocean using advanced very high resolution radiometer (AVHRR) data obtained from NOAA polar-orbiting satellites. Visible and near-infrared albedos over snow and ice surfaces are retrieved from AVHRR channels 1 and 2, respectively, and the broadband shortwave albedo is derived through narrow-to-broadband conversion (NTBC). It is found that field measurements taken under different conditions yield different NTBC coefficients. Model simulations over snow and ice surfaces based on rigorous radiative transfer theory support this finding. The lack of a universal set of NTBC coefficients implies a 5%–10% error in the retrieved broadband albedo. An empirical formula is derived for converting albedo values from AVHRR channels 1 and 2 into a broadband albedo under different snow and ice surface conditions. Uncertain calibration of AVHRR channels 1 and 2 is the largest source of uncertainty, and an error of 5% in satellite-measured radiance leads to an error of 5%–10% in the retrieved albedo. NOAA-14 AVHRR data obtained over the Surface Heat Budget of the Arctic Ocean (SHEBA) ice camp are used to derive the seasonal variation of the surface albedo over the Arctic Ocean between April and August of 1998. Comparison with surface measurements of albedo by Perovich and others near the SHEBA ice camp shows very good agreement. On average, the retrieval error of albedo from AVHRR is 5%–10%.

Corresponding author address: Knut Stamnes, Light and Life Laboratory, Department of Physics and Engineering Physics, Castle Point on Hudson, Stevens Institute of Technology, Hoboken, NJ 07030. kstamnes@stevens-tech.edu

Abstract

A method is presented for retrieving the broadband albedo over the Arctic Ocean using advanced very high resolution radiometer (AVHRR) data obtained from NOAA polar-orbiting satellites. Visible and near-infrared albedos over snow and ice surfaces are retrieved from AVHRR channels 1 and 2, respectively, and the broadband shortwave albedo is derived through narrow-to-broadband conversion (NTBC). It is found that field measurements taken under different conditions yield different NTBC coefficients. Model simulations over snow and ice surfaces based on rigorous radiative transfer theory support this finding. The lack of a universal set of NTBC coefficients implies a 5%–10% error in the retrieved broadband albedo. An empirical formula is derived for converting albedo values from AVHRR channels 1 and 2 into a broadband albedo under different snow and ice surface conditions. Uncertain calibration of AVHRR channels 1 and 2 is the largest source of uncertainty, and an error of 5% in satellite-measured radiance leads to an error of 5%–10% in the retrieved albedo. NOAA-14 AVHRR data obtained over the Surface Heat Budget of the Arctic Ocean (SHEBA) ice camp are used to derive the seasonal variation of the surface albedo over the Arctic Ocean between April and August of 1998. Comparison with surface measurements of albedo by Perovich and others near the SHEBA ice camp shows very good agreement. On average, the retrieval error of albedo from AVHRR is 5%–10%.

Corresponding author address: Knut Stamnes, Light and Life Laboratory, Department of Physics and Engineering Physics, Castle Point on Hudson, Stevens Institute of Technology, Hoboken, NJ 07030. kstamnes@stevens-tech.edu

Save