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Proceedings Paper

The University of Wisconsin Space Science and Engineering Center Absolute Radiance Interferometer (ARI): instrument overview and radiometric performance
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Paper Abstract

Spectrally resolved infrared (IR) and far infrared (FIR) radiances measured from orbit with extremely high absolute accuracy are a critical observation for future climate benchmark missions. For the infrared radiance spectra, it has been determined that a measurement accuracy, expressed as an equivalent brightness temperature error, of 0.1 K (k = 3) confirmed on orbit is required for signal detection above natural variability for decadal climate signatures [1, 2]. The challenge in the sensor development for a climate benchmark measurement mission is to achieve ultra-high accuracy with a design that can be flight qualified, has long design life, and is reasonably small, simple, and affordable. The required simplicity is achievable due to the large differences in the sampling and noise requirements for the benchmark climate measurement from those of the typical remote sensing infrared sounders for weather research or operational weather prediction. The University of Wisconsin Space Science and Engineering Center, with funding from the NASA Instrument Incubator Program (IIP), developed the Absolute Radiance Interferometer (ARI), which is designed to meet the uncertainty requirements needed to establish spectrally resolved thermal infrared climate benchmark measurements from space. The ARI is a prototype instrument designed to have a short upgrade path to a spaceflight instrument. Recent vacuum testing of the ARI, conducted under funding from the NASA Earth Science Technology Office, has demonstrated the capability to meet the 0.1 K (k = 3) uncertainty requirement on-orbit. An overview of the instrument design and summary of the radiometric performance verification of the UW-SSEC ARI will be presented.

Paper Details

Date Published: 18 November 2014
PDF: 10 pages
Proc. SPIE 9263, Multispectral, Hyperspectral, and Ultraspectral Remote Sensing Technology, Techniques and Applications V, 926313 (18 November 2014); doi: 10.1117/12.2069318
Show Author Affiliations
Joseph K. Taylor, Univ. of Wisconsin-Madison (United States)
Univ. Laval (Canada)
Henry E. Revercomb, Univ. of Wisconsin-Madison (United States)
Fred A. Best, Univ. of Wisconsin-Madison (United States)
P. Jonathan Gero, Univ. of Wisconsin-Madison (United States)
Jerome Genest, Univ. Laval (Canada)
Henry Buijs, ABB-Bomem Inc. (Canada)
Frederic J. Grandmont, ABB-Bomem Inc. (Canada)
David C. Tobin, Univ. of Wisconsin-Madison (United States)
Robert O. Knuteson, Univ. of Wisconsin-Madison (United States)

Published in SPIE Proceedings Vol. 9263:
Multispectral, Hyperspectral, and Ultraspectral Remote Sensing Technology, Techniques and Applications V
Allen M. Larar; Makoto Suzuki; Jianyu Wang, Editor(s)

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