Near-real-time detection of unexpected atmospheric events using principal component analysis on the Infrared Atmospheric Sounding Interferometer (IASI) radiances
<p>The three Infrared Atmospheric Sounding Interferometer (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 for...
| Main Authors: | , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2023-04-01
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| Series: | Atmospheric Measurement Techniques |
| Online Access: | https://amt.copernicus.org/articles/16/2107/2023/amt-16-2107-2023.pdf |
| _version_ | 1827963036785180672 |
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| author | A. Vu Van A. Vu Van A. Boynard A. Boynard P. Prunet D. Jolivet O. Lezeaux P. Henry C. Camy-Peyret L. Clarisse B. Franco P.-F. Coheur C. Clerbaux C. Clerbaux |
| author_facet | A. Vu Van A. Vu Van A. Boynard A. Boynard P. Prunet D. Jolivet O. Lezeaux P. Henry C. Camy-Peyret L. Clarisse B. Franco P.-F. Coheur C. Clerbaux C. Clerbaux |
| author_sort | A. Vu Van |
| collection | DOAJ |
| description | <p>The three Infrared Atmospheric Sounding Interferometer (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.</p>
<p>The early detection of extreme events such as fires, pollution episodes,
volcanic eruptions, or industrial releases is key to take safety measures to protect the 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.</p>
<p>In this paper, we describe a new approach to the near-real-time detection
and characterization of unexpected events, which relies on the principal
component analysis (PCA) of IASI radiance spectra. By analyzing 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 pollution, and industrial accidents. We demonstrate
that the method is well suited to the detection of spectral signatures for reactive and weakly absorbing gases, even for sporadic events. Consistent long-term records are also generated for fire and volcanic events from the available IASI/Metop-B data record.</p>
<p>The method is running continuously, delivering email alerts on a routine
basis, using the near-real-time IASI L1C radiance data. It is planned to be
used as an online tool for the early and automatic detection of extreme
events, which was not done before.</p> |
| first_indexed | 2024-04-09T16:51:51Z |
| format | Article |
| id | doaj.art-f4e9722fbca54a32982e6f3367826839 |
| institution | Directory Open Access Journal |
| issn | 1867-1381 1867-8548 |
| language | English |
| last_indexed | 2024-04-09T16:51:51Z |
| publishDate | 2023-04-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | Atmospheric Measurement Techniques |
| spelling | doaj.art-f4e9722fbca54a32982e6f33678268392023-04-21T12:17:12ZengCopernicus PublicationsAtmospheric Measurement Techniques1867-13811867-85482023-04-01162107212710.5194/amt-16-2107-2023Near-real-time detection of unexpected atmospheric events using principal component analysis on the Infrared Atmospheric Sounding Interferometer (IASI) radiancesA. Vu Van0A. Vu Van1A. Boynard2A. Boynard3P. Prunet4D. Jolivet5O. Lezeaux6P. Henry7C. Camy-Peyret8L. Clarisse9B. Franco10P.-F. Coheur11C. Clerbaux12C. Clerbaux13LATMOS/IPSL, Sorbonne Université, UVSQ, CNRS, Paris 75005, FranceSPASCIA, Ramonville-Saint-Agne 31520, FranceLATMOS/IPSL, Sorbonne Université, UVSQ, CNRS, Paris 75005, FranceSPASCIA, Ramonville-Saint-Agne 31520, FranceSPASCIA, Ramonville-Saint-Agne 31520, FranceHYGEOS, Lille 59000, FranceSPASCIA, Ramonville-Saint-Agne 31520, FranceCNES (Centre National d'Etudes Spatiales), Toulouse 31400, FranceIPSL, Institut Pierre-Simon Laplace, Paris 75005, FranceSpectroscopy, Quantum Chemistry and Atmospheric Remote Sensing (SQUARES), Université libre de Bruxelles (ULB), Brussels 1050, BelgiumSpectroscopy, Quantum Chemistry and Atmospheric Remote Sensing (SQUARES), Université libre de Bruxelles (ULB), Brussels 1050, BelgiumSpectroscopy, Quantum Chemistry and Atmospheric Remote Sensing (SQUARES), Université libre de Bruxelles (ULB), Brussels 1050, BelgiumLATMOS/IPSL, Sorbonne Université, UVSQ, CNRS, Paris 75005, FranceSpectroscopy, Quantum Chemistry and Atmospheric Remote Sensing (SQUARES), Université libre de Bruxelles (ULB), Brussels 1050, Belgium<p>The three Infrared Atmospheric Sounding Interferometer (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.</p> <p>The early detection of extreme events such as fires, pollution episodes, volcanic eruptions, or industrial releases is key to take safety measures to protect the 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.</p> <p>In this paper, we describe a new approach to the near-real-time detection and characterization of unexpected events, which relies on the principal component analysis (PCA) of IASI radiance spectra. By analyzing 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 pollution, and industrial accidents. We demonstrate that the method is well suited to the detection of spectral signatures for reactive and weakly absorbing gases, even for sporadic events. Consistent long-term records are also generated for fire and volcanic events from the available IASI/Metop-B data record.</p> <p>The method is running continuously, delivering email alerts on a routine basis, using the near-real-time IASI L1C radiance data. It is planned to be used as an online tool for the early and automatic detection of extreme events, which was not done before.</p>https://amt.copernicus.org/articles/16/2107/2023/amt-16-2107-2023.pdf |
| spellingShingle | A. Vu Van A. Vu Van A. Boynard A. Boynard P. Prunet D. Jolivet O. Lezeaux P. Henry C. Camy-Peyret L. Clarisse B. Franco P.-F. Coheur C. Clerbaux C. Clerbaux Near-real-time detection of unexpected atmospheric events using principal component analysis on the Infrared Atmospheric Sounding Interferometer (IASI) radiances Atmospheric Measurement Techniques |
| title | Near-real-time detection of unexpected atmospheric events using principal component analysis on the Infrared Atmospheric Sounding Interferometer (IASI) radiances |
| title_full | Near-real-time detection of unexpected atmospheric events using principal component analysis on the Infrared Atmospheric Sounding Interferometer (IASI) radiances |
| title_fullStr | Near-real-time detection of unexpected atmospheric events using principal component analysis on the Infrared Atmospheric Sounding Interferometer (IASI) radiances |
| title_full_unstemmed | Near-real-time detection of unexpected atmospheric events using principal component analysis on the Infrared Atmospheric Sounding Interferometer (IASI) radiances |
| title_short | Near-real-time detection of unexpected atmospheric events using principal component analysis on the Infrared Atmospheric Sounding Interferometer (IASI) radiances |
| title_sort | near real time detection of unexpected atmospheric events using principal component analysis on the infrared atmospheric sounding interferometer iasi radiances |
| url | https://amt.copernicus.org/articles/16/2107/2023/amt-16-2107-2023.pdf |
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