DocumentCode :
918375
Title :
Retrieval algorithms for the EOS Microwave limb sounder (MLS)
Author :
Livesey, Nathaniel J. ; Van Snyder, W. ; Read, William G. ; Wagner, Paul A.
Author_Institution :
Jet Propulsion Lab., California Inst. of Technol., Pasadena, CA, USA
Volume :
44
Issue :
5
fYear :
2006
fDate :
5/1/2006 12:00:00 AM
Firstpage :
1144
Lastpage :
1155
Abstract :
The retrieval algorithms for the Earth Observing System Microwave Limb Sounder (MLS) on the Aura spacecraft, launched on July 15, 2004, are described. These algorithms are used to produce estimates of geophysical parameters such as vertical profiles of atmospheric temperature and composition ("Level 2" data) from the calibrated MLS observations of microwave limb radiance ("Level 1" data). The MLS algorithms are based on the standard optimal estimation approach, a weighted nonlinear least squares optimization with a priori constraints. New aspects include adaptation to a two-dimensional system, and an approach to the issues of retrieval "phasing" and error propagation that differs from that taken for previous similar instruments. Important new aspects of the software that implements these algorithms are also described, along with the algorithm configuration for the "version 1.5" dataset. Some examples are shown from MLS in-orbit observations.
Keywords :
aerospace instrumentation; artificial satellites; atmospheric composition; atmospheric measuring apparatus; atmospheric temperature; data acquisition; AD 2004 07 15; Aura spacecraft; EOS MLS; Earth Observing System; Microwave Limb Sounder; atmospheric composition; atmospheric temperature; error propagation; inverse problem; microwave limb radiance; millimeter-wave measurement; remote sensing; retrieval phasing; weighted nonlinear least squares optimization; Constraint optimization; Earth Observing System; Instruments; Least squares approximation; Microwave propagation; Multilevel systems; Parameter estimation; Software algorithms; Space vehicles; Temperature; Atmospheric measurements; inverse problems; millimeterwave measurements; remote sensing; terrestrial atmosphere;
fLanguage :
English
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
Publisher :
ieee
ISSN :
0196-2892
Type :
jour
DOI :
10.1109/TGRS.2006.872327
Filename :
1624595
Link To Document :
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