CO2 baseline concept in 3-D atmospheric transport models
International audience Atmospheric transport models are now commonly used to estimate the distribution of sources and sinks of CO2, given atmospheric measurements of this greenhouse gas. Yet, to properly assess large-scale flux patterns, one must employ only those measurements that are representativ...
Published in: | Tellus B: Chemical and Physical Meteorology |
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ftccsdartic:oai:HAL:hal-03115979v1 2023-05-15T13:22:32+02:00 CO2 baseline concept in 3-D atmospheric transport models Ramonet, M. Monfray, P. Centre des Faibles Radioactivités Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Centre National de la Recherche Scientifique (CNRS) Laboratoire de Modélisation du Climat et de l'Environnement (LMCE) 1996 https://hal.archives-ouvertes.fr/hal-03115979 https://hal.archives-ouvertes.fr/hal-03115979/document https://hal.archives-ouvertes.fr/hal-03115979/file/fic2.pdf https://doi.org/10.3402/tellusb.v48i4.15929 en eng HAL CCSD Taylor & Francis info:eu-repo/semantics/altIdentifier/doi/10.3402/tellusb.v48i4.15929 hal-03115979 https://hal.archives-ouvertes.fr/hal-03115979 https://hal.archives-ouvertes.fr/hal-03115979/document https://hal.archives-ouvertes.fr/hal-03115979/file/fic2.pdf doi:10.3402/tellusb.v48i4.15929 info:eu-repo/semantics/OpenAccess ISSN: 0280-6509 EISSN: 1600-0889 Tellus B - Chemical and Physical Meteorology https://hal.archives-ouvertes.fr/hal-03115979 Tellus B - Chemical and Physical Meteorology, Taylor & Francis, 1996, 48 (4), pp.502-520. ⟨10.3402/tellusb.v48i4.15929⟩ [SDU.OCEAN]Sciences of the Universe [physics]/Ocean Atmosphere [SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/Climatology info:eu-repo/semantics/article Journal articles 1996 ftccsdartic https://doi.org/10.3402/tellusb.v48i4.15929 2021-11-06T23:57:56Z International audience Atmospheric transport models are now commonly used to estimate the distribution of sources and sinks of CO2, given atmospheric measurements of this greenhouse gas. Yet, to properly assess large-scale flux patterns, one must employ only those measurements that are representative of large scale air masses. Typically the observed time series are filtered, according to different criteria, as a mean to select baseline conditions. In this paper we raise the problem of comparing selected data with the whole simulated time series. Aiming for better consistency with the observations, we propose four procedures to select the baseline periods in the transport models. Each is tested with a high resolution 3-D model (TM2z), at 3 monitoring stations currently used by the modeling community (Cape Grim, Cape Meares, and Amsterdam Island). Results demonstrate that such selection is necessary, especially for coastal stations. By using information on the synoptic transport as estimated by either 5-days backtrajectories or radon-222 concentrations, the CO2 synoptic scale variability (averaged over the year) is reduced by a factor of three. The seasonal cycle (peak-to-peak amplitude) is also reduced by about 30% for the two coastal stations. With these corrections, the model-data agreement improves dramatically. Moreover, annual averages can be affected by few tenths of ppmv. Finally, we also investigate synoptic events classified as non-baseline both in observations and simulations. The ability of the 3-D model to reproduce some characteristics of these data, points out the potential of such data to characterize the strength of regional fluxes. Article in Journal/Newspaper Amsterdam Island Archive ouverte HAL (Hyper Article en Ligne, CCSD - Centre pour la Communication Scientifique Directe) Grim ENVELOPE(-64.486,-64.486,-65.379,-65.379) Tellus B: Chemical and Physical Meteorology 48 4 502 520 |
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Open Polar |
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Archive ouverte HAL (Hyper Article en Ligne, CCSD - Centre pour la Communication Scientifique Directe) |
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ftccsdartic |
language |
English |
topic |
[SDU.OCEAN]Sciences of the Universe [physics]/Ocean Atmosphere [SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/Climatology |
spellingShingle |
[SDU.OCEAN]Sciences of the Universe [physics]/Ocean Atmosphere [SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/Climatology Ramonet, M. Monfray, P. CO2 baseline concept in 3-D atmospheric transport models |
topic_facet |
[SDU.OCEAN]Sciences of the Universe [physics]/Ocean Atmosphere [SDU.STU.CL]Sciences of the Universe [physics]/Earth Sciences/Climatology |
description |
International audience Atmospheric transport models are now commonly used to estimate the distribution of sources and sinks of CO2, given atmospheric measurements of this greenhouse gas. Yet, to properly assess large-scale flux patterns, one must employ only those measurements that are representative of large scale air masses. Typically the observed time series are filtered, according to different criteria, as a mean to select baseline conditions. In this paper we raise the problem of comparing selected data with the whole simulated time series. Aiming for better consistency with the observations, we propose four procedures to select the baseline periods in the transport models. Each is tested with a high resolution 3-D model (TM2z), at 3 monitoring stations currently used by the modeling community (Cape Grim, Cape Meares, and Amsterdam Island). Results demonstrate that such selection is necessary, especially for coastal stations. By using information on the synoptic transport as estimated by either 5-days backtrajectories or radon-222 concentrations, the CO2 synoptic scale variability (averaged over the year) is reduced by a factor of three. The seasonal cycle (peak-to-peak amplitude) is also reduced by about 30% for the two coastal stations. With these corrections, the model-data agreement improves dramatically. Moreover, annual averages can be affected by few tenths of ppmv. Finally, we also investigate synoptic events classified as non-baseline both in observations and simulations. The ability of the 3-D model to reproduce some characteristics of these data, points out the potential of such data to characterize the strength of regional fluxes. |
author2 |
Centre des Faibles Radioactivités Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Centre National de la Recherche Scientifique (CNRS) Laboratoire de Modélisation du Climat et de l'Environnement (LMCE) |
format |
Article in Journal/Newspaper |
author |
Ramonet, M. Monfray, P. |
author_facet |
Ramonet, M. Monfray, P. |
author_sort |
Ramonet, M. |
title |
CO2 baseline concept in 3-D atmospheric transport models |
title_short |
CO2 baseline concept in 3-D atmospheric transport models |
title_full |
CO2 baseline concept in 3-D atmospheric transport models |
title_fullStr |
CO2 baseline concept in 3-D atmospheric transport models |
title_full_unstemmed |
CO2 baseline concept in 3-D atmospheric transport models |
title_sort |
co2 baseline concept in 3-d atmospheric transport models |
publisher |
HAL CCSD |
publishDate |
1996 |
url |
https://hal.archives-ouvertes.fr/hal-03115979 https://hal.archives-ouvertes.fr/hal-03115979/document https://hal.archives-ouvertes.fr/hal-03115979/file/fic2.pdf https://doi.org/10.3402/tellusb.v48i4.15929 |
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ENVELOPE(-64.486,-64.486,-65.379,-65.379) |
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Grim |
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Grim |
genre |
Amsterdam Island |
genre_facet |
Amsterdam Island |
op_source |
ISSN: 0280-6509 EISSN: 1600-0889 Tellus B - Chemical and Physical Meteorology https://hal.archives-ouvertes.fr/hal-03115979 Tellus B - Chemical and Physical Meteorology, Taylor & Francis, 1996, 48 (4), pp.502-520. ⟨10.3402/tellusb.v48i4.15929⟩ |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.3402/tellusb.v48i4.15929 hal-03115979 https://hal.archives-ouvertes.fr/hal-03115979 https://hal.archives-ouvertes.fr/hal-03115979/document https://hal.archives-ouvertes.fr/hal-03115979/file/fic2.pdf doi:10.3402/tellusb.v48i4.15929 |
op_rights |
info:eu-repo/semantics/OpenAccess |
op_doi |
https://doi.org/10.3402/tellusb.v48i4.15929 |
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Tellus B: Chemical and Physical Meteorology |
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48 |
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4 |
container_start_page |
502 |
op_container_end_page |
520 |
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