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Validation of Aura Microwave Limb Sounder stratospheric ozone measurements

Authors :
T. J. McGee
Michael J. Schwartz
Laurence Twigg
William H. Daffer
Gloria L. Manney
William G. Read
Grant Sumnicht
Brian J. Drouin
Alyn Lambert
Peter F. Bernath
Bhaswar Sen
W. V. Snyder
James J. Margitan
R. A. Stachnik
D. T. Cuddy
J. W. Hair
Robert S. Harwood
Lucien Froidevaux
C. D. Boone
R. P. Thurstans
Robert Jarnot
Kenneth W. Jucks
Melody A. Avery
Nathaniel J. Livesey
P. C. Stek
R. A. Fuller
M. J. Filipiak
Kaley A. Walker
R. E. Cofield
Brian Knosp
V. S. Perun
Yan Jiang
P. A. Wagner
Joe W. Waters
Edward V. Browell
G. C. Toon
Source :
Journal of Geophysical Research. 113
Publication Year :
2008
Publisher :
American Geophysical Union (AGU), 2008.

Abstract

[1] The Earth Observing System (EOS) Microwave Limb Sounder (MLS) aboard the Aura satellite has provided essentially daily global measurements of ozone (O3) profiles from the upper troposphere to the upper mesosphere since August of 2004. This paper focuses on validation of the MLS stratospheric standard ozone product and its uncertainties, as obtained from the 240 GHz radiometer measurements, with a few results concerning mesospheric ozone. We compare average differences and scatter from matched MLS version 2.2 profiles and coincident ozone profiles from other satellite instruments, as well as from aircraft lidar measurements taken during Aura Validation Experiment (AVE) campaigns. Ozone comparisons are also made between MLS and balloon-borne remote and in situ sensors. We provide a detailed characterization of random and systematic uncertainties for MLS ozone. We typically find better agreement in the comparisons using MLS version 2.2 ozone than the version 1.5 data. The agreement and the MLS uncertainty estimates in the stratosphere are often of the order of 5%, with values closer to 10% (and occasionally 20%) at the lowest stratospheric altitudes, where small positive MLS biases can be found. There is very good agreement in the latitudinal distributions obtained from MLS and from coincident profiles from other satellite instruments, as well as from aircraft lidar data along the MLS track.

Details

ISSN :
01480227
Volume :
113
Database :
OpenAIRE
Journal :
Journal of Geophysical Research
Accession number :
edsair.doi...........6252338a7c0d57162d3faac3c68b1447
Full Text :
https://doi.org/10.1029/2007jd008771