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Clear-Sky Narrowband Albedo Variations Derived from VIRS and MODIS DataA critical parameter for detecting clouds and aerosols and for retrieving their microphysical properties is the clear-sky radiance. The Clouds and the Earth's Radiant Energy System (CERES) Project uses the visible (VIS; 0.63 m) and near-infrared (NIR; 1.6 or 2.13 m) channels available on same satellites as the CERES scanners. Another channel often used for cloud and aerosol, and vegetation cover retrievals is the vegetation (VEG; 0.86- m) channel that has been available on the Advanced Very High Resolution Radiometer (AVHRR) for many years. Generally, clear-sky albedo for a given surface type is determined for conditions when the vegetation is either thriving or dormant and free of snow. Snow albedo is typically estimated without considering the underlying surface type. The albedo for a surface blanketed by snow, however, should vary with surface type because the vegetation often emerges from the snow to varying degrees depending on the vertical dimensions of the vegetation. For example, a snowcovered prairie will probably be brighter than a snowcovered forest because the snow typically falls off the trees exposing the darker surfaces while the snow on a grassland at the same temperatures will likely be continuous and, therefore, more reflective. Accounting for the vegetation-induced differences should improve the capabilities for distinguishing snow and clouds over different surface types and facilitate improvements in the accuracy of radiative transfer calculations between the snow-covered surface and the atmosphere, eventually leading to improvements in models of the energy budgets over land. This paper presents a more complete analysis of the CERES spectral clear-sky reflectances to determine the variations in clear-sky top-of-atmosphere (TOA) albedos for both snow-free and snow-covered surfaces for four spectral channels using data from Terra and Aqua.. The results should be valuable for improved cloud retrievals and for modeling radiation fields.
Document ID
20040129666
Acquisition Source
Langley Research Center
Document Type
Preprint (Draft being sent to journal)
Authors
Sun-Mack, Sunny
(Science Applications International Corp. Hampton, VA, United States)
Chen, Yan
(Science Applications International Corp. Hampton, VA, United States)
Arduini, Robert F.
(Science Applications International Corp. Hampton, VA, United States)
Minnis, Patrick
(NASA Langley Research Center Hampton, VA, United States)
Date Acquired
September 7, 2013
Publication Date
January 1, 2004
Subject Category
Meteorology And Climatology
Report/Patent Number
Paper 6.34
Report Number: Paper 6.34
Meeting Information
Meeting: 13th Conference on Satellite Meteorology and Oceanography
Location: Norfolk, VA
Country: United States
Start Date: September 20, 2004
End Date: September 24, 2004
Funding Number(s)
OTHER: 23-621-30-96
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.
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