Principal Component Analysis of IASI measurements for the detection of extreme events: methodology and application to the detection of rare spectral signatures - INSU - Institut national des sciences de l'Univers Access content directly
Conference Poster Year : 2021

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

Pascal Prunet
  • Function : Author
Sarah Pipien
  • Function : Author
Olivier Lezeaux
Dominique Jolivet
  • Function : Author
Bruno Monsterleet
  • Function : Author
Adrien Vuvan
  • Function : Author
  • PersonId : 1132648
  • IdRef : 268891001
Anne Boynard
  • Function : Author
  • PersonId : 938803
Cathy Clerbaux

Abstract

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.
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Dates and versions

insu-03688653 , version 1 (05-06-2022)

Identifiers

  • HAL Id : insu-03688653 , version 1

Cite

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⟩
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