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Journal of Applied Remote Sensing • Open Access

Improved methodology for surface and atmospheric soundings, error estimates, and quality control procedures: the atmospheric infrared sounder science team version-6 retrieval algorithm
Author(s): Joel Susskind; John M. Blaisdell; Lena Iredell

Paper Abstract

The atmospheric infrared sounder (AIRS) science team version-6 AIRS/advanced microwave sounding unit (AMSU) retrieval algorithm is now operational at the Goddard Data and Information Services Center (DISC). AIRS version-6 level-2 products are generated near real time at the Goddard DISC and all level-2 and level-3 products are available starting from September 2002. Some of the significant improvements in retrieval methodology contained in the version-6 retrieval algorithm compared to that previously used in version-5 are described. In particular, the AIRS science team made major improvements with regard to the algorithms used to (1) derive surface skin temperature and surface spectral emissivity; (2) generate the initial state used to start the cloud clearing and retrieval procedures; and (3) derive error estimates and use them for quality control. Significant improvements have also been made in the generation of cloud parameters. In addition to the basic AIRS/AMSU mode, version-6 also operates in an AIRS only (AO) mode, which produces results almost as good as those of the full AIRS/AMSU mode. The improvements of some AIRS version-6 and version-6 AO products compared to those obtained using version-5 are also demonstrated.

Paper Details

Date Published: 31 March 2014
PDF: 34 pages
J. Appl. Remote Sens. 8(1) 084994 doi: 10.1117/1.JRS.8.084994
Published in: Journal of Applied Remote Sensing Volume 8, Issue 1
Show Author Affiliations
Joel Susskind, NASA Goddard Space Flight Ctr. (United States)
John M. Blaisdell, NASA Goddard Space Flight Ctr. (United States)
Lena Iredell, NASA Goddard Space Flight Ctr. (United States)


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