Remote sensing of surface albedo and cloud properties in the Arctic from AVHRR measurements

Dissertation (Ph.D.) University of Alaska Fairbanks, 1996 Based on a comprehensive radiative transfer model, algorithms suitable for arctic conditions are developed to retrieve broadband surface albedo and water cloud properties from National Oceanic and Atmospheric Administration (NOAA) Advanced Ve...

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Bibliographic Details
Main Author: Han, Wei
Other Authors: Stamnes, Knut, Bowling, Sue Ann, Harrison, William, Li, Shusun, Lubin, Dan, Watkins, Brenton
Format: Doctoral or Postdoctoral Thesis
Language:unknown
Published: 1996
Subjects:
Online Access:http://hdl.handle.net/11122/9426
Description
Summary:Dissertation (Ph.D.) University of Alaska Fairbanks, 1996 Based on a comprehensive radiative transfer model, algorithms suitable for arctic conditions are developed to retrieve broadband surface albedo and water cloud properties from National Oceanic and Atmospheric Administration (NOAA) Advanced Very High Resolution Radiometer (AVHRR) narrowband measurements. Reflectance anisotropy of snow surfaces is first simulated by an discrete ordinates radiative transfer formulation, and is then included in the comprehensive model for the retrieval. Ground-based irradiance measurements made by NOAA Climate Monitoring and Diagnostics Laboratory (CMDL) in Barrow, Alaska are compared with retrieved albedo and downwelling irradiances computed from retrieved cloud optical depth and effective radius. Good agreement is found between satellite estimates and ground-based measurements, which indicate that the retrieval algorithms proposed in this thesis are suitable for arctic conditions. It is found that the effects of snow bidirectional reflectance on the retrieval of the broadband albedo are significant, and that the Lambertian approximation could lead to a 30% underestimate of the surface albedo. It is also found that cloud effective radius in the Arctic is generally smaller as compared with mid- and low-latitudes.