Principle component analysis of AIRS and CrIS data

H. H. Aumann; Evan Manning

doi:10.1117/12.2188407

8 September 2015 Principle component analysis of AIRS and CrIS data

H. H. Aumann, Evan Manning

Proceedings Volume 9607, Earth Observing Systems XX; 96070J (2015) https://doi.org/10.1117/12.2188407
Event: SPIE Optical Engineering + Applications, 2015, San Diego, California, United States

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.

Citation Download Citation

H. H. Aumann and Evan Manning "Principle component analysis of AIRS and CrIS data", Proc. SPIE 9607, Earth Observing Systems XX, 96070J (8 September 2015); https://doi.org/10.1117/12.2188407

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available