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Conference papers

Detection of extreme events from IASI observations

Abstract : The 3 IASI instruments on-board the Metop satellites have been sounding the atmospheric composition since 2006. Up to ~30 atmospheric gases can be measured from IASI 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, industrial accidents, is key to take appropriate decisions regarding safety to protect inhabitants and the environment in the target areas. With IASI providing global observations twice a day in near real time, a new way for the systematic and continuous detection of exceptional atmospheric events to support operational decisions is possible. In this work, we explore and improve a method for the detection and characterization of extreme events, which relies on the principal component analysis (PCA) method. We assess this PCA-based system by analysing IASI raw and compressed spectra along with their differences (residuals) for various past and documented extreme events. The benefits and limitations of this method will be discussed with comparison with available CO and SO2 IASI products. A new method based on the refined analysis of residuals for the detection of fires, volcanic eruptions and pollution event is proposed, and could be used as an automatic detection method for unexpected future events
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Conference papers
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Submitted on : Tuesday, April 19, 2022 - 8:22:10 PM
Last modification on : Thursday, April 21, 2022 - 3:39:04 AM

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  • HAL Id : insu-03646785, version 1

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Adrien Vuvan, Anne Boynard, Pascal Prunet, Dominique Jolivet, Olivier Lezeaux, et al.. Detection of extreme events from IASI observations. EUMETSAT, Meteorological Satellite Conference 2021, Sep 2021, Online, Unknown Region. ⟨insu-03646785⟩

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