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Error Consistency Analysis Scheme for Infrared Ultraspectral Sounding Retrieval Error Budget EstimationGreat effort has been devoted towards validating geophysical parameters retrieved from ultraspectral infrared radiances obtained from satellite remote sensors. An error consistency analysis scheme (ECAS), utilizing fast radiative transfer model (RTM) forward and inverse calculations, has been developed to estimate the error budget in terms of mean difference and standard deviation of error in both spectral radiance and retrieval domains. The retrieval error is assessed through ECAS without relying on other independent measurements such as radiosonde data. ECAS establishes a link between the accuracies of radiances and retrieved geophysical parameters. ECAS can be applied to measurements from any ultraspectral instrument and any retrieval scheme with its associated RTM. In this manuscript, ECAS is described and demonstrated with measurements from the MetOp-A satellite Infrared Atmospheric Sounding Interferometer (IASI). This scheme can be used together with other validation methodologies to give a more definitive characterization of the error and/or uncertainty of geophysical parameters retrieved from ultraspectral radiances observed from current and future satellite remote sensors such as IASI, the Atmospheric Infrared Sounder (AIRS), and the Cross-track Infrared Sounder (CrIS).
Document ID
20130011200
Acquisition Source
Langley Research Center
Document Type
Reprint (Version printed in journal)
Authors
Zhou, Daniel K.
(NASA Langley Research Center Hampton, VA, United States)
Larar, Allen M.
(NASA Langley Research Center Hampton, VA, United States)
Liu, Xu
(NASA Langley Research Center Hampton, VA, United States)
Smith, William L.
(Hampton Univ. VA, United States)
Strow, Larry, L.
(Maryland Univ. Baltimore County Baltimore, MD, United States)
Date Acquired
August 27, 2013
Publication Date
March 1, 2013
Publication Information
Publication: Remote Sensing Letters
Publisher: Taylor and Francis, LLC
Volume: 4
Issue: 3
ISSN: 2150-704X
Subject Category
Earth Resources And Remote Sensing
Report/Patent Number
NF1676L-15833
ISSN: 2150-704X
Report Number: NF1676L-15833
Funding Number(s)
WBS: WBS 313229.04.07.60.9496.12
Distribution Limits
Public
Copyright
Other

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