Preprints
https://doi.org/10.5194/egusphere-2022-1372
https://doi.org/10.5194/egusphere-2022-1372
 
20 Dec 2022
20 Dec 2022

Near-real time detection of unexpected atmospheric events using Principal Component Analysis on the IASI radiances

Adrien Vu Van1,2, Anne Boynard1,2, Pascal Prunet2, Dominique Jolivet3, Olivier Lezeaux2, Patrice Henry4, Claude Camy-Peyret5, Lieven Clarisse6, Bruno Franco6, Pierre-François Coheur6, and Cathy Clerbaux1,6 Adrien Vu Van et al.
  • 1LATMOS/IPSL, Sorbonne Université, UVSQ, CNRS, Paris, 75005, France
  • 2SPASCIA, Ramonville-Saint-Agne, 31520, France
  • 3HYGEOS, Lille, 59000, France
  • 4CNES (Centre National d’Etudes Spatiales), Toulouse, 31400, France
  • 5IPSL, Institut Pierre-Simon Laplace, Paris, 75005, France
  • 6Université libre de Bruxelles (ULB), Spectroscopy, Quantum Chemistry and Atmospheric Remote Sensing (SQUARES), Bruxelles, 1050, Belgium

Abstract. The three IASI instruments on-board the Metop family of satellites have been sounding the atmospheric composition since 2006. More than 30 atmospheric gases can be measured from the IASI radiance spectra, allowing the improvement of weather forecasting, and the monitoring of atmospheric chemistry and climate variables.

The early detection of extreme events such as fires, pollution episodes, volcanic eruptions, or industrial releases is key to take safety measures to protect inhabitants and the environment in the impacted areas. With its near real time observations and good horizontal coverage, IASI can contribute to the series of monitoring systems for the systematic and continuous detection of exceptional atmospheric events, in order to support operational decisions.

In this paper, we describe a new approach for the near real time detection and characterization of unexpected events, which relies on the principal component analysis (PCA) of IASI radiance spectra. By analysing both the IASI raw and compressed spectra, we applied a PCA-granule based method on various past well documented extreme events such as volcanic eruptions, fires, anthropogenic pollutions and industrial accidents. We demonstrate that the method is well suited to detect spectral signatures for reactive and weak absorbing gases, even for sporadic events. Long-term records are also generated for fire and volcanic events, by analysing the available IASI/Metop-B data record.

Adrien Vu Van et al.

Status: final response (author comments only)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2022-1372', Anonymous Referee #2, 10 Jan 2023
  • RC2: 'Comment on egusphere-2022-1372', Anonymous Referee #1, 12 Jan 2023

Adrien Vu Van et al.

Adrien Vu Van et al.

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Short summary
With its near real time observations and good horizontal coverage, the Infrared Atmospheric Sounding Interferometer (IASI) instrument can contribute to the monitoring systems for a systematic and continuous detection of exceptional atmospheric events such as fires, pollution episodes, volcanic eruptions, or industrial releases. In this paper a new approach is described for the detection and characterization of unexpected events in terms of traces gases using IASI infrared spectra.