Principal Component Analysis of IASI measurements for the detection of extreme events: methodology and application to the detection of rare spectral signatures

Pascal Prunet (1) , Sarah Pipien (1) , Claude Camy-Peyret (2) , Olivier Lezeaux (1) , Dominique Jolivet (3) , Bruno Monsterleet (3) , Adrien Vuvan (1, 4) , Anne Boynard (4, 1) , Cathy Clerbaux (4) , Patrice Henry (5) , Laura Le Barbier (5)

1 Sté SPASCIA
2 IPSL (FR_636) - Institut Pierre-Simon-Laplace
3 HYGEOS (SARL)
4 TROPO - LATMOS
5 CNES - Centre National d'Études Spatiales [Toulouse]

We have implemented and tested the feasibility and performances of a systematic and global processing of IASI L1 measurements based on the Principal Component Analysis (PCA) of the spectra, for the fast detection, identification and monitoring of atmospheric extreme events.

Domains: Physics [physics]; Physics [physics]; Atmospheric and Oceanic Physics [physics.ao-ph]

Pascal Prunet, Sarah Pipien, Claude Camy-Peyret, Olivier Lezeaux, Dominique Jolivet, et al.. Principal Component Analysis of IASI measurements for the detection of extreme events: methodology and application to the detection of rare spectral signatures. 5th IASI International Conference, Dec 2021, Evian, France. ⟨insu-03688653⟩