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Proceedings Paper

Exploring new bands in modified multichannel regression SST algorithms for the next-generation infrared sensors at NOAA
Author(s): B. Petrenko; A. Ignatov; M. Kramar; Y. Kihai
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Paper Abstract

Multichannel regression algorithms are widely used to retrieve sea surface temperature (SST) from infrared observations with satellite radiometers. Their theoretical foundations were laid in the 1980s-1990s, during the era of the Advanced Very High Resolution Radiometers which have been flown onboard NOAA satellites since 1981. Consequently, the multi-channel and non-linear SST algorithms employ the bands centered at 3.7, 11 and 12 μm, similar to available in AVHRR. More recent radiometers carry new bands located in the windows near 4 μm, 8.5 μm and 10 μm, which may also be used for SST. Involving these bands in SST retrieval requires modifications to the regression SST equations. The paper describes a general approach to constructing SST regression equations for an arbitrary number of radiometric bands and explores the benefits of using extended sets of bands available with the Visible Infrared Imager Radiometer Suite (VIIRS) flown onboard the Suomi National Polar-orbiting Partnership (SNPP) and to be flown onboard the follow-on Joint Polar Satellite System (JPSS) satellites, J1-J4, to be launched from 2017-2031; Moderate Resolution Imaging Spectroradiometers (MODIS) flown onboard Aqua and Terra satellites; and the Advanced Himawari Imager (AHI) flown onboard the Japanese Himawari-8 satellite (which in turn is a close proxy of the Advanced Baseline Imager (ABI) to be flown onboard the future Geostationary Operational Environmental Satellites – R Series (GOES-R) planned for launch in October 2016.

Paper Details

Date Published: 17 May 2016
PDF: 12 pages
Proc. SPIE 9827, Ocean Sensing and Monitoring VIII, 98270N (17 May 2016); doi: 10.1117/12.2229578
Show Author Affiliations
B. Petrenko, NOAA/STAR (United States)
GST, Inc. (United States)
A. Ignatov, NOAA/STAR (United States)
M. Kramar, NOAA/STAR (United States)
GST, Inc. (United States)
Y. Kihai, NOAA/STAR (United States)
GST, Inc. (United States)


Published in SPIE Proceedings Vol. 9827:
Ocean Sensing and Monitoring VIII
Weilin W. Hou; Robert A. Arnone, Editor(s)

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