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Acetylene (C2H2) and hydrogen cyanide (HCN) from IASI satellite observations: global distribution, validation, and comparison with model

Authors :
Duflot, Valentin
Wespes, Catherine
Clarisse, Lieven
Hurtmans, Daniel
Ngadi, Yasmine
Jones, nicolas
Paton-Walsh, claire
Hadji-Lazaro, Juliette
Vigouroux, Corinne
De Mazière, Martine
Metzger, Jean-Marc
Mahieu, Emmanuel
Servais, christian
Hase, franck
Schneider, Matthias
Clerbaux, Cathy
Coheur, Pierre-François
Laboratoire de l'Atmosphère et des Cyclones (LACy)
Institut national des sciences de l'Univers (INSU - CNRS)-Météo France-Université de La Réunion (UR)-Centre National de la Recherche Scientifique (CNRS)
Spectroscopie de l'atmosphère, Service de Chimie Quantique et Photophysique
Université libre de Bruxelles (ULB)
School of Chemistry [Wollongong]
University of Wollongong [Australia]
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)
Belgian Institute for Space Aeronomy / Institut d'Aéronomie Spatiale de Belgique (BIRA-IASB)
Observatoire des Sciences de l'Univers de La Réunion (OSU-Réunion)
Institut national des sciences de l'Univers (INSU - CNRS)-Université de La Réunion (UR)
Institut d'Astrophysique et de Géophysique [Liège]
Université de Liège
Institute for Meteorology and Climate Research (IMK)
Karlsruhe Institute of Technology (KIT)
Institut national des sciences de l'Univers (INSU - CNRS)-Université de La Réunion (UR)-Centre National de la Recherche Scientifique (CNRS)-Météo-France
Source :
Atmospheric Chemistry and Physics Discussions, Atmospheric Chemistry and Physics Discussions, European Geosciences Union, 2015, doi:10.5194/acpd-15-14357-2015. ⟨10.5194/acpd-15-14357-2015⟩, Atmospheric chemistry and physics, 15 (18), 10509-10527, Atmospheric Chemistry and Physics Discussions, 2015, doi:10.5194/acpd-15-14357-2015. ⟨10.5194/acpd-15-14357-2015⟩
Publication Year :
2015
Publisher :
HAL CCSD, 2015.

Abstract

We present global distributions of C$_{2}$H$_{2}$ and hydrogen cyanide (HCN) total columns derived from the Infrared Atmospheric Sounding Interferometer (IASI) for the years 2008–2010. These distributions are obtained with a fast method allowing to retrieve C$_{2}$H$_{2}$ abundance globally with a 5% precision and HCN abundance in the tropical (subtropical) belt with a 10% (25 %) precision. IASI data are compared for validation purposes with ground-based Fourier transform infrared (FTIR) spectrometer measurements at four selected stations.We show that there is an overall agreement between the ground-based and space measurements with correlation coefficients for daily mean measurements ranging from 0.28 to 0.81, depending on the site. Global C$_{2}$H$_{2}$ and subtropical HCN abundances retrieved from IASI spectra show the expected seasonality linked to variations in the anthropogenic emissions and seasonal biomass burning activity, as well as exceptional events, and are in good agreement with previous spaceborne studies. Total columns simulated by the Model for Ozone and Related Chemical Tracers, version 4 (MOZART-4) are compared to the ground-based FTIR measurements at the four selected stations. The model is able to capture the seasonality in the two species in most of the cases, with correlation coefficients for daily mean measurements ranging from 0.50 to 0.86, depending on the site. IASI measurements are also compared to the distributions from MOZART-4. Seasonal cycles observed from satellite data are reasonably well reproduced by the model with correlation coefficients ranging from -0.31 to 0.93 for C$_{2}$H$_{2}$ daily means, and from 0.09 to 0.86 for HCN daily means, depending on the considered region. However, the anthropogenic (biomass burning) emissions used in the model seem to be overestimated (underestimated), and a negative global mean bias of 1% (16 %) of the model relative to the satellite observations was found for C$_{2}$H$_{2}$ (HCN).

Details

Language :
English
ISSN :
16807367, 16807375, 16807316, and 16807324
Database :
OpenAIRE
Journal :
Atmospheric Chemistry and Physics Discussions, Atmospheric Chemistry and Physics Discussions, European Geosciences Union, 2015, doi:10.5194/acpd-15-14357-2015. ⟨10.5194/acpd-15-14357-2015⟩, Atmospheric chemistry and physics, 15 (18), 10509-10527, Atmospheric Chemistry and Physics Discussions, 2015, doi:10.5194/acpd-15-14357-2015. ⟨10.5194/acpd-15-14357-2015⟩
Accession number :
edsair.dedup.wf.001..b3f7f79a0a5151b4807df0376b7e7506
Full Text :
https://doi.org/10.5194/acpd-15-14357-2015.