Title
Principle component analysis of AIRS and CrIS data
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. Unlike empirical EV, which are derived from the observed spectra, the synthetic EV are derived from a large ensemble of spectra which are calculated assuming that, given a state of the atmosphere, the spectra created by the instrument can be accurately calculated. The synthetic EV are then used to reconstruct the observed spectra. The analysis of the differences between the observed spectra and the reconstructed spectra for Simultaneous Nadir Overpasses of tropical oceans reveals unexpected differences at the more than 200 mK level under relatively clear conditions, particularly in the mid-wave water vapor channels of CrIS. The repeatability of these differences using independently trained SEV and results from different years appears to rule out inconsistences in the radiative transfer algorithm or the data simulation. The reasons for these discrepancies are under evaluation.
Year
DOI
Venue
2015
10.1117/12.2188407
Proceedings of SPIE
Keywords
Field
DocType
data analysis,principal component analysis,water,satellites,statistical analysis,physical oceanography
Nadir,Atmospheric Infrared Sounder,Satellite,Depth sounding,Data analysis,Remote sensing,Infrared,Radiative transfer,Water vapor,Physics
Conference
Volume
ISSN
Citations 
9607
0277-786X
0
PageRank 
References 
Authors
0.34
1
2
Name
Order
Citations
PageRank
Hartmut H. Aumann1716.00
evan manning201.35