Share Email Print
cover

Proceedings Paper

How well can infrared sounders observe the atmosphere and surface through clouds?
Author(s): Daniel K. Zhou; Allen M. Larar; Xu Liu; William L. Smith; L. Larrabee Strow; Ping Yang
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

Infrared sounders, such as the Atmospheric Infrared Sounder (AIRS), the Infrared Atmospheric Sounding Interferometer (IASI), and the Cross-track Infrared sounder (CrIS), have a cloud-impenetrable disadvantage in observing the atmosphere and surface under opaque cloudy conditions. However, recent studies indicate that hyperspectral, infrared sounders have the ability to detect cloud effective-optical and microphysical properties and to penetrate optically thin clouds in observing the atmosphere and surface to a certain degree. We have developed a retrieval scheme dealing with atmospheric conditions with cloud presence. This scheme can be used to analyze the retrieval accuracy of atmospheric and surface parameters under clear and cloudy conditions. In this paper, we present the surface emissivity results derived from IASI global measurements under both clear and cloudy conditions. The accuracy of surface emissivity derived under cloudy conditions is statistically estimated in comparison with those derived under clear sky conditions. The retrieval error caused by the clouds is shown as a function of cloud optical depth, which helps us to understand how well infrared sounders can observe the atmosphere and surface through clouds.

Paper Details

Date Published: 12 November 2010
PDF: 9 pages
Proc. SPIE 7857, Multispectral, Hyperspectral, and Ultraspectral Remote Sensing Technology, Techniques, and Applications III, 785704 (12 November 2010); doi: 10.1117/12.869545
Show Author Affiliations
Daniel K. Zhou, NASA Langley Research Ctr. (United States)
Allen M. Larar, NASA Langley Research Ctr. (United States)
Xu Liu, NASA Langley Research Ctr. (United States)
William L. Smith, Hampton Univ. (United States)
Univ. of Wisconsin-Madison (United States)
L. Larrabee Strow, Univ. of Maryland, Baltimore County (United States)
Ping Yang, Texas A&M Univ. (United States)


Published in SPIE Proceedings Vol. 7857:
Multispectral, Hyperspectral, and Ultraspectral Remote Sensing Technology, Techniques, and Applications III
Allen M. Larar; Hyo-Sang Chung; Makoto Suzuki, Editor(s)

© SPIE. Terms of Use
Back to Top