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Principle component analysis of AIRS and CrIS data

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dc.contributor.author Aumann, Hartmut H.
dc.contributor.author Manning, Evan
dc.date.accessioned 2017-07-26T16:20:02Z
dc.date.available 2017-07-26T16:20:02Z
dc.date.issued 2015-08-09
dc.identifier.citation SPIE Optics + Photonics, San Diego, California, August 9-13, 2015 en_US
dc.identifier.clearanceno 15-2827
dc.identifier.uri http://hdl.handle.net/2014/45742
dc.description.abstract Synthetic Eigen Vectors (EV) used for the statistical analysis of the PC reconstruction residual of large ensembles of data are a novel tool for the analysis of data from hyperspectral infrared sounders like the Atmospheric Infrared Sounder (AIRS) on the EOS Aqua and the Cross-track Infrared Sounder (CrIS) on the SUOMI polar orbiting satellites. en_US
dc.description.sponsorship NASA/JPL en_US
dc.language.iso en_US en_US
dc.publisher Pasadena, CA: Jet Propulsion Laboratory, National Aeronautics and Space Administration, 2015 en_US
dc.subject temperature en_US
dc.subject sounding en_US
dc.subject infrared en_US
dc.subject hyperspectral en_US
dc.title Principle component analysis of AIRS and CrIS data en_US
dc.type Presentation en_US


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