The ASSET intercomparison of ozone analyses: method and first results
International audience This paper aims to summarise the current performance of ozone data assimilation (DA) systems, to show where they can be improved, and to quantify their errors. It examines 11 sets of ozone analyses from 7 different DA systems. Two are numerical weather prediction (NWP) systems...
Published in: | Atmospheric Chemistry and Physics |
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Main Authors: | , , , , , , , , , , , , |
Other Authors: | , , , , , , , , , , , , , , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
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HAL CCSD
2006
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Online Access: | https://hal.science/hal-00328472 https://hal.science/hal-00328472/document https://hal.science/hal-00328472/file/acp-6-5445-2006.pdf https://doi.org/10.5194/acp-6-5445-2006 |
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Université Toulouse III - Paul Sabatier: HAL-UPS |
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ftutoulouse3hal |
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English |
topic |
[SDU.OCEAN]Sciences of the Universe [physics]/Ocean Atmosphere |
spellingShingle |
[SDU.OCEAN]Sciences of the Universe [physics]/Ocean Atmosphere Geer, A. J. Lahoz, W. A. Bekki, Slimane Bormann, N. Errera, Q. Eskes, H. J. Fonteyn, D. Jackson, D. R. Juckes, M. N. Massart, S. Peuch, V.-H. Rharmili, S. Segers, A. The ASSET intercomparison of ozone analyses: method and first results |
topic_facet |
[SDU.OCEAN]Sciences of the Universe [physics]/Ocean Atmosphere |
description |
International audience This paper aims to summarise the current performance of ozone data assimilation (DA) systems, to show where they can be improved, and to quantify their errors. It examines 11 sets of ozone analyses from 7 different DA systems. Two are numerical weather prediction (NWP) systems based on general circulation models (GCMs); the other five use chemistry transport models (CTMs). The systems examined contain either linearised or detailed ozone chemistry, or no chemistry at all. In most analyses, MIPAS (Michelson Interferometer for Passive Atmospheric Sounding) ozone data are assimilated; two assimilate SCIAMACHY (Scanning Imaging Absorption Spectrometer for Atmospheric Chartography) observations instead. Analyses are compared to independent ozone observations covering the troposphere, stratosphere and lower mesosphere during the period July to November 2003. Biases and standard deviations are largest, and show the largest divergence between systems, in the troposphere, in the upper-troposphere/lower-stratosphere, in the upper-stratosphere and mesosphere, and the Antarctic ozone hole region. However, in any particular area, apart from the troposphere, at least one system can be found that agrees well with independent data. In general, none of the differences can be linked to the assimilation technique (Kalman filter, three or four dimensional variational methods, direct inversion) or the system (CTM or NWP system). Where results diverge, a main explanation is the way ozone is modelled. It is important to correctly model transport at the tropical tropopause, to avoid positive biases and excessive structure in the ozone field. In the southern hemisphere ozone hole, only the analyses which correctly model heterogeneous ozone depletion are able to reproduce the near-complete ozone destruction over the pole. In the upper-stratosphere and mesosphere (above 5 hPa), some ozone photochemistry schemes caused large but easily remedied biases. The diurnal cycle of ozone in the mesosphere is not captured, ... |
author2 |
European Centre for Medium-Range Weather Forecasts (ECMWF) Data Assimilation Research Centre Reading (DARC) University of Reading (UOR) Service d'aéronomie (SA) 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) Royal Netherlands Meteorological Institute (KNMI) United Kingdom Met Office Exeter British Atmospheric Data Centre STFC Rutherford Appleton Laboratory (RAL) Science and Technology Facilities Council (STFC)-Science and Technology Facilities Council (STFC) Centre Européen de Recherche et de Formation Avancée en Calcul Scientifique (CERFACS) 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 de Toulouse (UT)-Université de Toulouse (UT)-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 de Toulouse (UT)-Université de Toulouse (UT)-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 |
Geer, A. J. Lahoz, W. A. Bekki, Slimane Bormann, N. Errera, Q. Eskes, H. J. Fonteyn, D. Jackson, D. R. Juckes, M. N. Massart, S. Peuch, V.-H. Rharmili, S. Segers, A. |
author_facet |
Geer, A. J. Lahoz, W. A. Bekki, Slimane Bormann, N. Errera, Q. Eskes, H. J. Fonteyn, D. Jackson, D. R. Juckes, M. N. Massart, S. Peuch, V.-H. Rharmili, S. Segers, A. |
author_sort |
Geer, A. J. |
title |
The ASSET intercomparison of ozone analyses: method and first results |
title_short |
The ASSET intercomparison of ozone analyses: method and first results |
title_full |
The ASSET intercomparison of ozone analyses: method and first results |
title_fullStr |
The ASSET intercomparison of ozone analyses: method and first results |
title_full_unstemmed |
The ASSET intercomparison of ozone analyses: method and first results |
title_sort |
asset intercomparison of ozone analyses: method and first results |
publisher |
HAL CCSD |
publishDate |
2006 |
url |
https://hal.science/hal-00328472 https://hal.science/hal-00328472/document https://hal.science/hal-00328472/file/acp-6-5445-2006.pdf https://doi.org/10.5194/acp-6-5445-2006 |
genre |
Antarc* Antarctic |
genre_facet |
Antarc* Antarctic |
op_source |
ISSN: 1680-7316 EISSN: 1680-7324 Atmospheric Chemistry and Physics https://hal.science/hal-00328472 Atmospheric Chemistry and Physics, 2006, 6 (12), pp.5445-5474. ⟨10.5194/acp-6-5445-2006⟩ |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.5194/acp-6-5445-2006 hal-00328472 https://hal.science/hal-00328472 https://hal.science/hal-00328472/document https://hal.science/hal-00328472/file/acp-6-5445-2006.pdf doi:10.5194/acp-6-5445-2006 |
op_rights |
info:eu-repo/semantics/OpenAccess |
op_doi |
https://doi.org/10.5194/acp-6-5445-2006 |
container_title |
Atmospheric Chemistry and Physics |
container_volume |
6 |
container_issue |
12 |
container_start_page |
5445 |
op_container_end_page |
5474 |
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1810490663318323200 |
spelling |
ftutoulouse3hal:oai:HAL:hal-00328472v1 2024-09-15T17:43:37+00:00 The ASSET intercomparison of ozone analyses: method and first results Geer, A. J. Lahoz, W. A. Bekki, Slimane Bormann, N. Errera, Q. Eskes, H. J. Fonteyn, D. Jackson, D. R. Juckes, M. N. Massart, S. Peuch, V.-H. Rharmili, S. Segers, A. European Centre for Medium-Range Weather Forecasts (ECMWF) Data Assimilation Research Centre Reading (DARC) University of Reading (UOR) Service d'aéronomie (SA) 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) Royal Netherlands Meteorological Institute (KNMI) United Kingdom Met Office Exeter British Atmospheric Data Centre STFC Rutherford Appleton Laboratory (RAL) Science and Technology Facilities Council (STFC)-Science and Technology Facilities Council (STFC) Centre Européen de Recherche et de Formation Avancée en Calcul Scientifique (CERFACS) 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 de Toulouse (UT)-Université de Toulouse (UT)-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 de Toulouse (UT)-Université de Toulouse (UT)-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) 2006-12-05 https://hal.science/hal-00328472 https://hal.science/hal-00328472/document https://hal.science/hal-00328472/file/acp-6-5445-2006.pdf https://doi.org/10.5194/acp-6-5445-2006 en eng HAL CCSD European Geosciences Union info:eu-repo/semantics/altIdentifier/doi/10.5194/acp-6-5445-2006 hal-00328472 https://hal.science/hal-00328472 https://hal.science/hal-00328472/document https://hal.science/hal-00328472/file/acp-6-5445-2006.pdf doi:10.5194/acp-6-5445-2006 info:eu-repo/semantics/OpenAccess ISSN: 1680-7316 EISSN: 1680-7324 Atmospheric Chemistry and Physics https://hal.science/hal-00328472 Atmospheric Chemistry and Physics, 2006, 6 (12), pp.5445-5474. ⟨10.5194/acp-6-5445-2006⟩ [SDU.OCEAN]Sciences of the Universe [physics]/Ocean Atmosphere info:eu-repo/semantics/article Journal articles 2006 ftutoulouse3hal https://doi.org/10.5194/acp-6-5445-2006 2024-06-25T00:12:59Z International audience This paper aims to summarise the current performance of ozone data assimilation (DA) systems, to show where they can be improved, and to quantify their errors. It examines 11 sets of ozone analyses from 7 different DA systems. Two are numerical weather prediction (NWP) systems based on general circulation models (GCMs); the other five use chemistry transport models (CTMs). The systems examined contain either linearised or detailed ozone chemistry, or no chemistry at all. In most analyses, MIPAS (Michelson Interferometer for Passive Atmospheric Sounding) ozone data are assimilated; two assimilate SCIAMACHY (Scanning Imaging Absorption Spectrometer for Atmospheric Chartography) observations instead. Analyses are compared to independent ozone observations covering the troposphere, stratosphere and lower mesosphere during the period July to November 2003. Biases and standard deviations are largest, and show the largest divergence between systems, in the troposphere, in the upper-troposphere/lower-stratosphere, in the upper-stratosphere and mesosphere, and the Antarctic ozone hole region. However, in any particular area, apart from the troposphere, at least one system can be found that agrees well with independent data. In general, none of the differences can be linked to the assimilation technique (Kalman filter, three or four dimensional variational methods, direct inversion) or the system (CTM or NWP system). Where results diverge, a main explanation is the way ozone is modelled. It is important to correctly model transport at the tropical tropopause, to avoid positive biases and excessive structure in the ozone field. In the southern hemisphere ozone hole, only the analyses which correctly model heterogeneous ozone depletion are able to reproduce the near-complete ozone destruction over the pole. In the upper-stratosphere and mesosphere (above 5 hPa), some ozone photochemistry schemes caused large but easily remedied biases. The diurnal cycle of ozone in the mesosphere is not captured, ... Article in Journal/Newspaper Antarc* Antarctic Université Toulouse III - Paul Sabatier: HAL-UPS Atmospheric Chemistry and Physics 6 12 5445 5474 |