A four-dimensional mesoscale map of the spring bloom in the northeast Atlantic (POMME experiment): Results of a prognostic model
International audience A prognostic high-resolution model is established to provide an integrated view of the evolution of the spring bloom during the Programme Océan Multidisciplinaire Méso Echelle (POMME) experiments carried out at sea from February to May 2001 (16-22°W and 38°-45°N). Data collect...
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Online Access: | https://hal.archives-ouvertes.fr/hal-00124671 https://hal.archives-ouvertes.fr/hal-00124671/document https://hal.archives-ouvertes.fr/hal-00124671/file/2004JC002588.pdf https://doi.org/10.1029/2004JC002588 |
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ftccsdartic:oai:HAL:hal-00124671v1 2023-05-15T17:41:35+02:00 A four-dimensional mesoscale map of the spring bloom in the northeast Atlantic (POMME experiment): Results of a prognostic model Lévy, Marina Gavart, M. Mémery, Laurent Caniaux, Guy Paci, A. Laboratoire d'océanographie dynamique et de climatologie (LODYC) Institut de Recherche pour le Développement (IRD)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS) Service Hydrographique et Océanographique de la Marine (SHOM) Ministère de la Défense Laboratoire des Sciences de l'Environnement Marin (LEMAR) (LEMAR) Institut de Recherche pour le Développement (IRD)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Université de Brest (UBO)-Institut Universitaire Européen de la Mer (IUEM) Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS) Groupe d'étude de l'atmosphère météorologique (CNRM-GAME) Institut national des sciences de l'Univers (INSU - CNRS)-Météo France-Centre National de la Recherche Scientifique (CNRS) 2005 https://hal.archives-ouvertes.fr/hal-00124671 https://hal.archives-ouvertes.fr/hal-00124671/document https://hal.archives-ouvertes.fr/hal-00124671/file/2004JC002588.pdf https://doi.org/10.1029/2004JC002588 en eng HAL CCSD American Geophysical Union info:eu-repo/semantics/altIdentifier/doi/10.1029/2004JC002588 hal-00124671 https://hal.archives-ouvertes.fr/hal-00124671 https://hal.archives-ouvertes.fr/hal-00124671/document https://hal.archives-ouvertes.fr/hal-00124671/file/2004JC002588.pdf doi:10.1029/2004JC002588 info:eu-repo/semantics/OpenAccess ISSN: 0148-0227 EISSN: 2156-2202 Journal of Geophysical Research https://hal.archives-ouvertes.fr/hal-00124671 Journal of Geophysical Research, American Geophysical Union, 2005, 110, pp.C07S21. ⟨10.1029/2004JC002588⟩ [PHYS.PHYS.PHYS-GEO-PH]Physics [physics]/Physics [physics]/Geophysics [physics.geo-ph] info:eu-repo/semantics/article Journal articles 2005 ftccsdartic https://doi.org/10.1029/2004JC002588 2021-12-19T00:27:22Z International audience A prognostic high-resolution model is established to provide an integrated view of the evolution of the spring bloom during the Programme Océan Multidisciplinaire Méso Echelle (POMME) experiments carried out at sea from February to May 2001 (16-22°W and 38°-45°N). Data collected during the first survey were used for model initialization, and data from three other cruises were used for model validation. The model successfully predicts the time evolution of the main reservoirs and fluxes, except for a storm event during postbloom conditions, for which the biological impact is underestimated. The bloom is long in duration (2 months), has low intensity (1 mg Chl m À3), and is characterized by a small f-ratio (0.45) and a small e-ratio (0.05). Furthermore, the model reveals much stronger space and time variability than sampled in the data. This large variability results both from the synoptic atmospheric variability and from the stirring induced by oceanic mesoscale eddies. In particular, the bloom starts in specific submesoscale features that correspond to filaments of minimum mixed layer depth. On short timescales (2-3 days), space and time variability have the same order of magnitude. On the seasonal timescale, time variability is larger than space variability. Considering the transient state of the system, this modeling exercise is also used to quantify the nonsynopticity of the observations, which occur mostly during bloom conditions, a crucial point for the data interpretation. Article in Journal/Newspaper Northeast Atlantic Archive ouverte HAL (Hyper Article en Ligne, CCSD - Centre pour la Communication Scientifique Directe) Journal of Geophysical Research 110 C7 |
institution |
Open Polar |
collection |
Archive ouverte HAL (Hyper Article en Ligne, CCSD - Centre pour la Communication Scientifique Directe) |
op_collection_id |
ftccsdartic |
language |
English |
topic |
[PHYS.PHYS.PHYS-GEO-PH]Physics [physics]/Physics [physics]/Geophysics [physics.geo-ph] |
spellingShingle |
[PHYS.PHYS.PHYS-GEO-PH]Physics [physics]/Physics [physics]/Geophysics [physics.geo-ph] Lévy, Marina Gavart, M. Mémery, Laurent Caniaux, Guy Paci, A. A four-dimensional mesoscale map of the spring bloom in the northeast Atlantic (POMME experiment): Results of a prognostic model |
topic_facet |
[PHYS.PHYS.PHYS-GEO-PH]Physics [physics]/Physics [physics]/Geophysics [physics.geo-ph] |
description |
International audience A prognostic high-resolution model is established to provide an integrated view of the evolution of the spring bloom during the Programme Océan Multidisciplinaire Méso Echelle (POMME) experiments carried out at sea from February to May 2001 (16-22°W and 38°-45°N). Data collected during the first survey were used for model initialization, and data from three other cruises were used for model validation. The model successfully predicts the time evolution of the main reservoirs and fluxes, except for a storm event during postbloom conditions, for which the biological impact is underestimated. The bloom is long in duration (2 months), has low intensity (1 mg Chl m À3), and is characterized by a small f-ratio (0.45) and a small e-ratio (0.05). Furthermore, the model reveals much stronger space and time variability than sampled in the data. This large variability results both from the synoptic atmospheric variability and from the stirring induced by oceanic mesoscale eddies. In particular, the bloom starts in specific submesoscale features that correspond to filaments of minimum mixed layer depth. On short timescales (2-3 days), space and time variability have the same order of magnitude. On the seasonal timescale, time variability is larger than space variability. Considering the transient state of the system, this modeling exercise is also used to quantify the nonsynopticity of the observations, which occur mostly during bloom conditions, a crucial point for the data interpretation. |
author2 |
Laboratoire d'océanographie dynamique et de climatologie (LODYC) Institut de Recherche pour le Développement (IRD)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS) Service Hydrographique et Océanographique de la Marine (SHOM) Ministère de la Défense Laboratoire des Sciences de l'Environnement Marin (LEMAR) (LEMAR) Institut de Recherche pour le Développement (IRD)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Université de Brest (UBO)-Institut Universitaire Européen de la Mer (IUEM) Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS) Groupe d'étude de l'atmosphère météorologique (CNRM-GAME) Institut national des sciences de l'Univers (INSU - CNRS)-Météo France-Centre National de la Recherche Scientifique (CNRS) |
format |
Article in Journal/Newspaper |
author |
Lévy, Marina Gavart, M. Mémery, Laurent Caniaux, Guy Paci, A. |
author_facet |
Lévy, Marina Gavart, M. Mémery, Laurent Caniaux, Guy Paci, A. |
author_sort |
Lévy, Marina |
title |
A four-dimensional mesoscale map of the spring bloom in the northeast Atlantic (POMME experiment): Results of a prognostic model |
title_short |
A four-dimensional mesoscale map of the spring bloom in the northeast Atlantic (POMME experiment): Results of a prognostic model |
title_full |
A four-dimensional mesoscale map of the spring bloom in the northeast Atlantic (POMME experiment): Results of a prognostic model |
title_fullStr |
A four-dimensional mesoscale map of the spring bloom in the northeast Atlantic (POMME experiment): Results of a prognostic model |
title_full_unstemmed |
A four-dimensional mesoscale map of the spring bloom in the northeast Atlantic (POMME experiment): Results of a prognostic model |
title_sort |
four-dimensional mesoscale map of the spring bloom in the northeast atlantic (pomme experiment): results of a prognostic model |
publisher |
HAL CCSD |
publishDate |
2005 |
url |
https://hal.archives-ouvertes.fr/hal-00124671 https://hal.archives-ouvertes.fr/hal-00124671/document https://hal.archives-ouvertes.fr/hal-00124671/file/2004JC002588.pdf https://doi.org/10.1029/2004JC002588 |
genre |
Northeast Atlantic |
genre_facet |
Northeast Atlantic |
op_source |
ISSN: 0148-0227 EISSN: 2156-2202 Journal of Geophysical Research https://hal.archives-ouvertes.fr/hal-00124671 Journal of Geophysical Research, American Geophysical Union, 2005, 110, pp.C07S21. ⟨10.1029/2004JC002588⟩ |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.1029/2004JC002588 hal-00124671 https://hal.archives-ouvertes.fr/hal-00124671 https://hal.archives-ouvertes.fr/hal-00124671/document https://hal.archives-ouvertes.fr/hal-00124671/file/2004JC002588.pdf doi:10.1029/2004JC002588 |
op_rights |
info:eu-repo/semantics/OpenAccess |
op_doi |
https://doi.org/10.1029/2004JC002588 |
container_title |
Journal of Geophysical Research |
container_volume |
110 |
container_issue |
C7 |
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1766143224523522048 |