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Spectrally Invariant Approximation within Atmospheric Radiative TransferCertain algebraic combinations of single scattering albedo and solar radiation reflected from, or transmitted through, vegetation canopies do not vary with wavelength. These spectrally invariant relationships are the consequence of wavelength independence of the extinction coefficient and scattering phase function in vegetation. In general, this wavelength independence does not hold in the atmosphere, but in cloud-dominated atmospheres the total extinction and total scattering phase function vary only weakly with wavelength. This paper identifies the atmospheric conditions under which the spectrally invariant approximation can accurately describe the extinction and scattering properties of cloudy atmospheres. The validity of the assumptions and the accuracy of the approximation are tested with 1D radiative transfer calculations using publicly available radiative transfer models: Discrete Ordinate Radiative Transfer (DISORT) and Santa Barbara DISORT Atmospheric Radiative Transfer (SBDART). It is shown for cloudy atmospheres with cloud optical depth above 3, and for spectral intervals that exclude strong water vapor absorption, that the spectrally invariant relationships found in vegetation canopy radiative transfer are valid to better than 5%. The physics behind this phenomenon, its mathematical basis, and possible applications to remote sensing and climate are discussed.
Document ID
20130006699
Acquisition Source
Goddard Space Flight Center
Document Type
Reprint (Version printed in journal)
External Source(s)
Authors
Marshak, A.
(NASA Goddard Space Flight Center Greenbelt, MD, United States)
Knyazikhin, Y.
(Boston Univ. Boston, MA, United States)
Chiu, J. C.
(Reading Univ. United Kingdom)
Wiscombe, W. J.
(NASA Goddard Space Flight Center Greenbelt, MD, United States)
Date Acquired
August 27, 2013
Publication Date
May 25, 2011
Publication Information
Publication: Journal of the Atmospheric Sciences
Publisher: American Meteorological Society
Volume: 68
Issue: 2
Subject Category
Earth Resources And Remote Sensing
Distribution Limits
Public
Copyright
Other

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