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spelling ftsorbonneuniv:oai:HAL:insu-01644416v1 2023-06-11T04:14:56+02:00 O 3 variability/trend in the troposphere and the stratosphere from IASI observations in 2008-2017 Wespes, Catherine Hurtmans, Daniel Boynard, Anne Clerbaux, Cathy Coheur, Pierre-François Spectroscopie de l'atmosphère, Service de Chimie Quantique et Photophysique Université libre de Bruxelles (ULB) TROPO - LATMOS Laboratoire Atmosphères, Milieux, Observations Spatiales (LATMOS) Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS) Rome, Italy 2017-10-02 https://hal-insu.archives-ouvertes.fr/insu-01644416 en eng HAL CCSD insu-01644416 https://hal-insu.archives-ouvertes.fr/insu-01644416 EUMETSAT Meteorological Satellite Conference 2017 https://hal-insu.archives-ouvertes.fr/insu-01644416 EUMETSAT Meteorological Satellite Conference 2017, Oct 2017, Rome, Italy [SDU.OCEAN]Sciences of the Universe [physics]/Ocean Atmosphere info:eu-repo/semantics/conferenceObject Poster communications 2017 ftsorbonneuniv 2023-05-29T22:56:24Z International audience In this study, we present geographical patterns of ozone (O 3 ) variability in the troposphere and the stratosphere derived from 9 years of IASI observations (2008-2017). The instrument provides a unique dataset of global vertically-resolved O 3 profiles with a twice daily global coverage and a fairly good vertical resolution in both the troposphere and the stratosphere, allowing to monitor the year-to-year variability in these layers. The retrievals are performed using the FORLI software, a fast radiative transfer model based on the optimal estimation method, set up for near real-time and large scale processing of IASI data. Multivariate regressions, which include important geophysical drivers of O 3 variation (e.g. solar flux - SF, quasi biennial oscillations - QBO, El Niño/Southern Oscillation - ENSO, North Atlantic Oscillation-NAO) and a linear trend term, have been performed on time series of spatially gridded averaged O 3 . The performance of the regression models for the different altitude layers is evaluated in terms of the representativeness of the fitted model and explanatory variables. The spatial structures of the resulting covariates and trends are then analyzed. In particular, we will also focus on O 3 trends observed in the upper stratosphere, which possibly point out a recovery of upper stratospheric ozone, and in the troposphere over and downwind anthropogenic polluted areas characterized either by increased (e.g. over Asia) or decreased (e.g. over Europe and the US) O 3 precursor emissions. FORLI O 3 -CO correlations patterns in the troposphere will also be discussed to evaluate the continental influence on tropospheric O 3 trends. Conference Object North Atlantic North Atlantic oscillation HAL Sorbonne Université
institution Open Polar
collection HAL Sorbonne Université
op_collection_id ftsorbonneuniv
language English
topic [SDU.OCEAN]Sciences of the Universe [physics]/Ocean
Atmosphere
spellingShingle [SDU.OCEAN]Sciences of the Universe [physics]/Ocean
Atmosphere
Wespes, Catherine
Hurtmans, Daniel
Boynard, Anne
Clerbaux, Cathy
Coheur, Pierre-François
O 3 variability/trend in the troposphere and the stratosphere from IASI observations in 2008-2017
topic_facet [SDU.OCEAN]Sciences of the Universe [physics]/Ocean
Atmosphere
description International audience In this study, we present geographical patterns of ozone (O 3 ) variability in the troposphere and the stratosphere derived from 9 years of IASI observations (2008-2017). The instrument provides a unique dataset of global vertically-resolved O 3 profiles with a twice daily global coverage and a fairly good vertical resolution in both the troposphere and the stratosphere, allowing to monitor the year-to-year variability in these layers. The retrievals are performed using the FORLI software, a fast radiative transfer model based on the optimal estimation method, set up for near real-time and large scale processing of IASI data. Multivariate regressions, which include important geophysical drivers of O 3 variation (e.g. solar flux - SF, quasi biennial oscillations - QBO, El Niño/Southern Oscillation - ENSO, North Atlantic Oscillation-NAO) and a linear trend term, have been performed on time series of spatially gridded averaged O 3 . The performance of the regression models for the different altitude layers is evaluated in terms of the representativeness of the fitted model and explanatory variables. The spatial structures of the resulting covariates and trends are then analyzed. In particular, we will also focus on O 3 trends observed in the upper stratosphere, which possibly point out a recovery of upper stratospheric ozone, and in the troposphere over and downwind anthropogenic polluted areas characterized either by increased (e.g. over Asia) or decreased (e.g. over Europe and the US) O 3 precursor emissions. FORLI O 3 -CO correlations patterns in the troposphere will also be discussed to evaluate the continental influence on tropospheric O 3 trends.
author2 Spectroscopie de l'atmosphère, Service de Chimie Quantique et Photophysique
Université libre de Bruxelles (ULB)
TROPO - LATMOS
Laboratoire Atmosphères, Milieux, Observations Spatiales (LATMOS)
Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)
format Conference Object
author Wespes, Catherine
Hurtmans, Daniel
Boynard, Anne
Clerbaux, Cathy
Coheur, Pierre-François
author_facet Wespes, Catherine
Hurtmans, Daniel
Boynard, Anne
Clerbaux, Cathy
Coheur, Pierre-François
author_sort Wespes, Catherine
title O 3 variability/trend in the troposphere and the stratosphere from IASI observations in 2008-2017
title_short O 3 variability/trend in the troposphere and the stratosphere from IASI observations in 2008-2017
title_full O 3 variability/trend in the troposphere and the stratosphere from IASI observations in 2008-2017
title_fullStr O 3 variability/trend in the troposphere and the stratosphere from IASI observations in 2008-2017
title_full_unstemmed O 3 variability/trend in the troposphere and the stratosphere from IASI observations in 2008-2017
title_sort o 3 variability/trend in the troposphere and the stratosphere from iasi observations in 2008-2017
publisher HAL CCSD
publishDate 2017
url https://hal-insu.archives-ouvertes.fr/insu-01644416
op_coverage Rome, Italy
genre North Atlantic
North Atlantic oscillation
genre_facet North Atlantic
North Atlantic oscillation
op_source EUMETSAT Meteorological Satellite Conference 2017
https://hal-insu.archives-ouvertes.fr/insu-01644416
EUMETSAT Meteorological Satellite Conference 2017, Oct 2017, Rome, Italy
op_relation insu-01644416
https://hal-insu.archives-ouvertes.fr/insu-01644416
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