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The Characterization of Deep Convective Clouds as an Invariant Calibration Target and as a Visible Calibration TechniqueDeep convective clouds (DCCs) are ideal visible calibration targets because they are bright nearly isotropic solar reflectors located over the tropics and they can be easily identified using a simple infrared threshold. Because all satellites view DCCs, DCCs provide the opportunity to uniformly monitor the stability of all operational sensors, both historical and present. A collective DCC anisotropically corrected radiance calibration approach is used to construct monthly probability distribution functions (PDFs) to monitor sensor stability. The DCC calibration targets were stable to within 0.5% and 0.3% per decade when the selection criteria were optimized based on Aqua MODerate Resolution Imaging Spectroradiometer 0.65-micrometer-band radiances. The Tropical Western Pacific (TWP), African, and South American regions were identified as the dominant DCC domains. For the 0.65-micrometer band, the PDF mode statistic is preferable, providing 0.3%regional consistency and 1%temporal uncertainty over land regions. It was found that the DCC within the TWP had the lowest radiometric response and DCC over land did not necessarily have the highest radiometric response. For wavelengths greater than 1 micrometer, the mean statistic is preferred, and land regions provided a regional variability of 0.7%with a temporal uncertainty of 1.1% where the DCC land response was higher than the response over ocean. Unlike stratus and cirrus clouds, the DCC spectra were not affected by water vapor absorption.
Document ID
20160011368
Acquisition Source
Langley Research Center
Document Type
Reprint (Version printed in journal)
Authors
Doelling, David R.
(NASA Langley Research Center Hampton, VA, United States)
Morstad, Daniel
(Science Systems and Applications, Inc. Lanham, MD, United States)
Scarino, Benjamin R.
(Science Systems and Applications, Inc. Lanham, MD, United States)
Bhatt, Rajendra
(Science Systems and Applications, Inc. Lanham, MD, United States)
Gopalan, Arun
(Science Systems and Applications, Inc. Lanham, MD, United States)
Date Acquired
September 20, 2016
Publication Date
December 10, 2012
Publication Information
Publication: IEEE Transactions on Geoscience and Remote Sensing
Volume: 51
Issue: 3
e-ISSN: 1558-0644
Subject Category
Meteorology And Climatology
Earth Resources And Remote Sensing
Report/Patent Number
NF1676L-22465
Funding Number(s)
WBS: WBS 652528.02.01
Distribution Limits
Public
Copyright
Other

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