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A Consistent AVHRR Visible Calibration Record Based on Multiple Methods Applicable for the NOAA Degrading OrbitsConsistent cross-sensor Advanced Very High Resolution Radiometer (AVHRR) calibration coefficients are determined using desert, polar ice, and deep convective cloud (DCC) invariant Earth targets. The greatest AVHRR calibration challenge is the slow orbit degradation of the host satellite, which precesses toward a terminator orbit. This issue is solved by characterizing the invariant targets with NOAA-16 AVHRR observed radiances that have been referenced to the Aqua Moderate Resolution Imaging Spectrometer (MODIS) calibration using simultaneous nadir overpass (SNO) observations. Another benefit of the NOAA-16 invariant target-modeled reflectance method is that, because of the similarities among the AVHRR spectral response functions, a smaller spectral band adjustment factor is required than when establishing calibrations relative to a non-AVHRR reference instrument. The sensor- and band-specific calibration uncertainties, with respect to the calibration reference, are, on average, 2 percent and 3 percent for channels 1 and 2, respectively. The uncertainties are smaller for sensors that are in afternoon orbits, have longer records, and spend less time in terminator conditions. The multiple invariant targets referenced to Aqua MODIS (MITRAM) AVHRR calibration coefficients are evaluated for individual target consistency, compared against Aqua MODIS/AVHRR SNOs, and selected published calibration gains. The MITRAM and SNO relative calibration biases mostly agree to within 1 percent for channels 1 and 2, respectively. The individual invariant target and MITRAM sensor relative calibration biases are mostly consistent to within 1 percent and 2 percent for channels 1 and 2, respectively. The differences between the MITRAM and other published calibrations are mostly attributed to the reference instrument calibration differences.
Document ID
20170000392
Acquisition Source
Langley Research Center
Document Type
Reprint (Version printed in journal)
Authors
Doelling, David R.
(NASA Langley Research Center Hampton, VA, United States)
Bhatt, Rajendra
(Science Systems and Applications, Inc. Hampton, VA, United States)
Scarino, Benjamin R.
(Science Systems and Applications, Inc. Hampton, VA, United States)
Gopalan, Arun
(Science Systems and Applications, Inc. Hampton, VA, United States)
Haney, Conor O.
(Science Systems and Applications, Inc. Hampton, VA, United States)
Minnis, Patrick
(NASA Langley Research Center Hampton, VA, United States)
Bedka, Kristopher M.
(NASA Langley Research Center Hampton, VA, United States)
Date Acquired
January 13, 2017
Publication Date
November 16, 2016
Publication Information
Publication: Journal of Atmospheric and Oceanic Technology
Publisher: AMS Publications
Volume: 33
Issue: 11
e-ISSN: 1520-0426
Subject Category
Meteorology And Climatology
Report/Patent Number
NF1676L-23660
Funding Number(s)
WBS: WBS 304029.01.04.02.02
Distribution Limits
Public
Copyright
Other

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