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Published June 17, 2005 | Supplemental Material + Published
Journal Article Open

Spatial and spectral variability of the outgoing thermal IR spectra from AIRS: A case study of July 2003

Abstract

Here we present a survey of the spatial variability in different climate zones seen from AIRS data using the spectral EOF analysis. Over the tropical and subtropical oceans, the first principal component (PC1) is mostly due to the thermal contrast between surface and thick cold cloud tops. The second principal component (PC2) is mainly due to the spatial variation of the lower tropospheric humidity (LTH) and the low clouds. The signature of dust aerosol over the Arabian Sea and the Atlantic off the coast of North Africa in the summertime can be clearly seen in the PC2. Both the PC1 and the PC2 capture the upper tropospheric water vapor variability due to the forced orthogonality of EOFs. The third principal component (PC3) is mainly due to the spatial variation of the lower stratospheric temperature. Over the midlatitude oceans, the PC1 is still due to the thermal contrast of emission temperature. During wintertime, the PC2 is mainly due to stratospheric temperature variations. In the summer, the PC2 over the southern hemisphere is still due to stratospheric temperature variations, but in the northern hemisphere it is mainly due to the variations of the LTH and the low clouds. An exploratory study using synthetic spectra based on a NCAR CAM2 simulation shows that the model could account for the essential features in the data as well as provide an explanation of the three leading PCs. Major disagreements exist in the location of the ITCZ, the dust aerosol, and the lower stratospheric temperature.

Additional Information

© 2005 The American Geophysical Union. Received 19 October 2004; Revised 11 March 2005; Accepted 31 March 2005; Published 17 June 2005. The AIRS data were obtained from GES Distributed Active Archive Center (http://daac.gsfc.nasa.gov/data/datapool/ AIRS_DP/). The computer resources for CAM2 simulation were kindly provided by NCAR Scientific Computing Division. We wish to thank R. Goody, V. Ramaswamy, D. Noone, D. Schwarzkopf, J. W. Hurrell, M. Chahine, B. H. Lambrigtsen, and G. Aumann for valuable insights and help. We also thank three anonymous reviewers for improving the quality of this paper. This research was done when X. L. Huang was a graduate student at the California Institute of Technology and was supported in part by the AIRS project at JPL and NASA grant NAG1-1806 to the California Institute of Technology.

Attached Files

Published - jgrd11914.pdf

Supplemental Material - jgrd11914-sup-0001-t01.txt

Supplemental Material - jgrd11914-sup-0002-t02.txt

Supplemental Material - jgrd11914-sup-0003-t03.txt

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August 22, 2023
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