Aerosol data assimilation in the chemical transport model MOCAGE during the TRAQA/ChArMEx campaign: aerosol optical depth
International audience In this study, we describe the development of the aerosol optical depth (AOD) assimilation module in the chemistry transport model (CTM) MOCAGE (Modèle de Chimie Atmosphérique à Grande Echelle). Our goal is to assimilate the spatially averaged 2-D column AOD data from the Nati...
Published in: | Atmospheric Measurement Techniques |
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Main Authors: | , , , , , , , |
Other Authors: | , , , , , , , , , , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
HAL CCSD
2016
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Subjects: | |
Online Access: | https://hal.science/hal-02374651 https://hal.science/hal-02374651/document https://hal.science/hal-02374651/file/SicetalAMT2016.pdf https://doi.org/10.5194/amt-9-5535-2016 |
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ftunivnantes:oai:HAL:hal-02374651v1 |
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openpolar |
institution |
Open Polar |
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Université de Nantes: HAL-UNIV-NANTES |
op_collection_id |
ftunivnantes |
language |
English |
topic |
ChArMEx TRAQA primary aerosols aerosol optical depth MODIS data assimilation MOCAGE [SDU.OCEAN]Sciences of the Universe [physics]/Ocean Atmosphere |
spellingShingle |
ChArMEx TRAQA primary aerosols aerosol optical depth MODIS data assimilation MOCAGE [SDU.OCEAN]Sciences of the Universe [physics]/Ocean Atmosphere Sič, Bojan Amraoui, Laaziz, Piacentini, Andrea Marécal, Virginie Emili, Emanuele Cariolle, Daniel Prather, Michael Attié, Jean-Luc Aerosol data assimilation in the chemical transport model MOCAGE during the TRAQA/ChArMEx campaign: aerosol optical depth |
topic_facet |
ChArMEx TRAQA primary aerosols aerosol optical depth MODIS data assimilation MOCAGE [SDU.OCEAN]Sciences of the Universe [physics]/Ocean Atmosphere |
description |
International audience In this study, we describe the development of the aerosol optical depth (AOD) assimilation module in the chemistry transport model (CTM) MOCAGE (Modèle de Chimie Atmosphérique à Grande Echelle). Our goal is to assimilate the spatially averaged 2-D column AOD data from the National Aeronautics and Space Administration (NASA) Moderate-resolution Imaging Spectroradiometer (MODIS) instrument, and to estimate improvements in a 3-D CTM assimilation run compared to a direct model run. Our assimilation system uses 3-D-FGAT (first guess at appropriate time) as an assimilation method and the total 3-D aerosol concentration as a control variable. In order to have an extensive validation dataset, we carried out our experiment in the northern summer of 2012 when the pre-ChArMEx (CHem-istry and AeRosol MEditerranean EXperiment) field campaign TRAQA (TRAnsport à longue distance et Qualité de l'Air dans le bassin méditerranéen) took place in the western Mediterranean basin. The assimilated model run is evaluated independently against a range of aerosol properties (2-D and 3-D) measured by in situ instruments (the TRAQA size-resolved balloon and aircraft measurements), the satellite Spinning Enhanced Visible and InfraRed Imager (SE-VIRI) instrument and ground-based instruments from the Aerosol Robotic Network (AERONET) network. The evaluation demonstrates that the AOD assimilation greatly improves aerosol representation in the model. For example, the comparison of the direct and the assimilated model run with AERONET data shows that the assimilation increased the correlation (from 0.74 to 0.88), and reduced the bias (from 0.050 to 0.006) and the root mean square error in the AOD (from 0.12 to 0.07). When compared to the 3-D concentration data obtained by the in situ aircraft and balloon measurements , the assimilation consistently improves the model output. The best results as expected occur when the shape of the vertical profile is correctly simulated by the direct model. We also examine how the ... |
author2 |
Centre national de recherches météorologiques (CNRM) Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP) Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3) Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3) Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS) Centre Européen de Recherche et de Formation Avancée en Calcul Scientifique (CERFACS) Centre Européen de Recherche et de Formation Avancée en Calcul Scientifique - CERFACS (CERFACS) University of California Irvine (UC Irvine) University of California (UC) Laboratoire d'aérologie (LAERO) Université Toulouse III - Paul Sabatier (UT3) Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Observatoire Midi-Pyrénées (OMP) Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS) |
format |
Article in Journal/Newspaper |
author |
Sič, Bojan Amraoui, Laaziz, Piacentini, Andrea Marécal, Virginie Emili, Emanuele Cariolle, Daniel Prather, Michael Attié, Jean-Luc |
author_facet |
Sič, Bojan Amraoui, Laaziz, Piacentini, Andrea Marécal, Virginie Emili, Emanuele Cariolle, Daniel Prather, Michael Attié, Jean-Luc |
author_sort |
Sič, Bojan |
title |
Aerosol data assimilation in the chemical transport model MOCAGE during the TRAQA/ChArMEx campaign: aerosol optical depth |
title_short |
Aerosol data assimilation in the chemical transport model MOCAGE during the TRAQA/ChArMEx campaign: aerosol optical depth |
title_full |
Aerosol data assimilation in the chemical transport model MOCAGE during the TRAQA/ChArMEx campaign: aerosol optical depth |
title_fullStr |
Aerosol data assimilation in the chemical transport model MOCAGE during the TRAQA/ChArMEx campaign: aerosol optical depth |
title_full_unstemmed |
Aerosol data assimilation in the chemical transport model MOCAGE during the TRAQA/ChArMEx campaign: aerosol optical depth |
title_sort |
aerosol data assimilation in the chemical transport model mocage during the traqa/charmex campaign: aerosol optical depth |
publisher |
HAL CCSD |
publishDate |
2016 |
url |
https://hal.science/hal-02374651 https://hal.science/hal-02374651/document https://hal.science/hal-02374651/file/SicetalAMT2016.pdf https://doi.org/10.5194/amt-9-5535-2016 |
genre |
Aerosol Robotic Network |
genre_facet |
Aerosol Robotic Network |
op_source |
ISSN: 1867-1381 EISSN: 1867-8548 Atmospheric Measurement Techniques https://hal.science/hal-02374651 Atmospheric Measurement Techniques, 2016, 9, pp.5535 - 5554. ⟨10.5194/amt-9-5535-2016⟩ |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.5194/amt-9-5535-2016 hal-02374651 https://hal.science/hal-02374651 https://hal.science/hal-02374651/document https://hal.science/hal-02374651/file/SicetalAMT2016.pdf doi:10.5194/amt-9-5535-2016 |
op_rights |
info:eu-repo/semantics/OpenAccess |
op_doi |
https://doi.org/10.5194/amt-9-5535-2016 |
container_title |
Atmospheric Measurement Techniques |
container_volume |
9 |
container_issue |
11 |
container_start_page |
5535 |
op_container_end_page |
5554 |
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1766039702954049536 |
spelling |
ftunivnantes:oai:HAL:hal-02374651v1 2023-05-15T13:07:12+02:00 Aerosol data assimilation in the chemical transport model MOCAGE during the TRAQA/ChArMEx campaign: aerosol optical depth Sič, Bojan Amraoui, Laaziz, Piacentini, Andrea Marécal, Virginie Emili, Emanuele Cariolle, Daniel Prather, Michael Attié, Jean-Luc Centre national de recherches météorologiques (CNRM) Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP) Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3) Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3) Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS) Centre Européen de Recherche et de Formation Avancée en Calcul Scientifique (CERFACS) Centre Européen de Recherche et de Formation Avancée en Calcul Scientifique - CERFACS (CERFACS) University of California Irvine (UC Irvine) University of California (UC) Laboratoire d'aérologie (LAERO) Université Toulouse III - Paul Sabatier (UT3) Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Observatoire Midi-Pyrénées (OMP) Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales Toulouse (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS) 2016-11-22 https://hal.science/hal-02374651 https://hal.science/hal-02374651/document https://hal.science/hal-02374651/file/SicetalAMT2016.pdf https://doi.org/10.5194/amt-9-5535-2016 en eng HAL CCSD European Geosciences Union info:eu-repo/semantics/altIdentifier/doi/10.5194/amt-9-5535-2016 hal-02374651 https://hal.science/hal-02374651 https://hal.science/hal-02374651/document https://hal.science/hal-02374651/file/SicetalAMT2016.pdf doi:10.5194/amt-9-5535-2016 info:eu-repo/semantics/OpenAccess ISSN: 1867-1381 EISSN: 1867-8548 Atmospheric Measurement Techniques https://hal.science/hal-02374651 Atmospheric Measurement Techniques, 2016, 9, pp.5535 - 5554. ⟨10.5194/amt-9-5535-2016⟩ ChArMEx TRAQA primary aerosols aerosol optical depth MODIS data assimilation MOCAGE [SDU.OCEAN]Sciences of the Universe [physics]/Ocean Atmosphere info:eu-repo/semantics/article Journal articles 2016 ftunivnantes https://doi.org/10.5194/amt-9-5535-2016 2023-02-22T07:24:21Z International audience In this study, we describe the development of the aerosol optical depth (AOD) assimilation module in the chemistry transport model (CTM) MOCAGE (Modèle de Chimie Atmosphérique à Grande Echelle). Our goal is to assimilate the spatially averaged 2-D column AOD data from the National Aeronautics and Space Administration (NASA) Moderate-resolution Imaging Spectroradiometer (MODIS) instrument, and to estimate improvements in a 3-D CTM assimilation run compared to a direct model run. Our assimilation system uses 3-D-FGAT (first guess at appropriate time) as an assimilation method and the total 3-D aerosol concentration as a control variable. In order to have an extensive validation dataset, we carried out our experiment in the northern summer of 2012 when the pre-ChArMEx (CHem-istry and AeRosol MEditerranean EXperiment) field campaign TRAQA (TRAnsport à longue distance et Qualité de l'Air dans le bassin méditerranéen) took place in the western Mediterranean basin. The assimilated model run is evaluated independently against a range of aerosol properties (2-D and 3-D) measured by in situ instruments (the TRAQA size-resolved balloon and aircraft measurements), the satellite Spinning Enhanced Visible and InfraRed Imager (SE-VIRI) instrument and ground-based instruments from the Aerosol Robotic Network (AERONET) network. The evaluation demonstrates that the AOD assimilation greatly improves aerosol representation in the model. For example, the comparison of the direct and the assimilated model run with AERONET data shows that the assimilation increased the correlation (from 0.74 to 0.88), and reduced the bias (from 0.050 to 0.006) and the root mean square error in the AOD (from 0.12 to 0.07). When compared to the 3-D concentration data obtained by the in situ aircraft and balloon measurements , the assimilation consistently improves the model output. The best results as expected occur when the shape of the vertical profile is correctly simulated by the direct model. We also examine how the ... Article in Journal/Newspaper Aerosol Robotic Network Université de Nantes: HAL-UNIV-NANTES Atmospheric Measurement Techniques 9 11 5535 5554 |