AIRS Radiance Climatology to Detect Climate Change and Validate Atmospheric Model-derived Analyses

Mitchell D. Goldberg; Lihang Zhou

doi:10.1364/HISENSE.2009.HWD2

Advances in Imaging
OSA Technical Digest (CD) (Optica Publishing Group, 2009),
paper HWD2
•https://doi.org/10.1364/HISENSE.2009.HWD2

AIRS Radiance Climatology to Detect Climate Change and Validate Atmospheric Model-derived Analyses

Mitchell D. Goldberg and Lihang Zhou

Hyperspectral Imaging and Sensing of the Environment 2009

Vancouver Canada
26–30 April 2009
ISBN: 978-1-55752-871-1

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M. D. Goldberg and L. Zhou, "AIRS Radiance Climatology to Detect Climate Change and Validate Atmospheric Model-derived Analyses," in Advances in Imaging, OSA Technical Digest (CD) (Optica Publishing Group, 2009), paper HWD2.

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Abstract

This study uses the raw AIRS data to generate the first ever spectrally resolved infrared radiance (SRIR) dataset (2002- 2006) for monitoring changes in atmospheric temperature and constituents and for assessing the accuracy of climate and weather model analyses and forecasts. The SRIR dataset is a very powerful tool. Spectral signatures derived from the dataset confirmed the largest depletion of ozone over the Arctic in 2005, and also verified that the European Center for Medium Range Weather (ECMWF) model analysis water vapor fields are significantly more accurate than the analyses of the National Centers for Environmental Prediction (NCEP).

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