Estimation of the oceanic pCO 2 in the North Atlantic from VOS lines in-situ measurements: parameters needed to generate seasonally mean maps

International audience Automated instruments on board Volunteer Observing Ships (VOS) have provided high-frequency pCO 2 measurements over basin-wide regions for a decade or so. In order to estimate regional air-sea CO 2 fluxes, it is necessary to interpolate between in-situ measurements to obtain m...

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Published in:Annales Geophysicae
Main Authors: Jamet, Cédric, Moulin, C., Lefèvre, Nathalie
Other Authors: Laboratoire des Sciences du Climat et de l'Environnement Gif-sur-Yvette (LSCE), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)
Format: Article in Journal/Newspaper
Language:English
Published: HAL CCSD 2007
Subjects:
Online Access:https://hal.science/hal-00330150
https://hal.science/hal-00330150/document
https://hal.science/hal-00330150/file/angeo-25-2247-2007.pdf
https://doi.org/10.5194/angeo-25-2247-2007
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spelling ftsorbonneuniv:oai:HAL:hal-00330150v1 2024-10-06T13:51:02+00:00 Estimation of the oceanic pCO 2 in the North Atlantic from VOS lines in-situ measurements: parameters needed to generate seasonally mean maps Jamet, Cédric Moulin, C. Lefèvre, Nathalie Laboratoire des Sciences du Climat et de l'Environnement Gif-sur-Yvette (LSCE) Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Direction de Recherche Fondamentale (CEA) (DRF (CEA)) Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA) 2007-11-29 https://hal.science/hal-00330150 https://hal.science/hal-00330150/document https://hal.science/hal-00330150/file/angeo-25-2247-2007.pdf https://doi.org/10.5194/angeo-25-2247-2007 en eng HAL CCSD European Geosciences Union info:eu-repo/semantics/altIdentifier/doi/10.5194/angeo-25-2247-2007 hal-00330150 https://hal.science/hal-00330150 https://hal.science/hal-00330150/document https://hal.science/hal-00330150/file/angeo-25-2247-2007.pdf doi:10.5194/angeo-25-2247-2007 IRD: fdi:010042476 info:eu-repo/semantics/OpenAccess ISSN: 0992-7689 EISSN: 1432-0576 Annales Geophysicae https://hal.science/hal-00330150 Annales Geophysicae, 2007, 25 (11), pp.2247-2257. ⟨10.5194/angeo-25-2247-2007⟩ [SDU.OCEAN]Sciences of the Universe [physics]/Ocean Atmosphere [SDU.STU]Sciences of the Universe [physics]/Earth Sciences info:eu-repo/semantics/article Journal articles 2007 ftsorbonneuniv https://doi.org/10.5194/angeo-25-2247-2007 2024-09-06T00:03:58Z International audience Automated instruments on board Volunteer Observing Ships (VOS) have provided high-frequency pCO 2 measurements over basin-wide regions for a decade or so. In order to estimate regional air-sea CO 2 fluxes, it is necessary to interpolate between in-situ measurements to obtain maps of the marine pCO 2 . Such an interpolation remains, however, a difficult task because VOS lines are too distant from each other to capture the high pCO 2 variability. Relevant physical parameters available at large scale are thus necessary to serve as a guide to estimate the pCO 2 values between the VOS lines. Satellites do not measure pCO 2 but they give access to parameters related to the processes that control its variability, such as sea surface temperature (SST). In this paper we developed a method to compute pCO 2 maps using satellite data (SST and CHL, the chlorophyll concentration), combined with a climatology of the mixed-layer depth (MLD). Using 15 401 measurements of surface pCO 2 acquired in the North Atlantic between UK and Jamaica, between June 1994 and August 1995, we show that the parameterization of pCO 2 as a function of SST, CHL and MLD yields more realistic pCO 2 values than parameterizations that have been widely used in the past, based on SST, latitude, longitude or SST only. This parameterization was then used to generate seasonal maps of pCO 2 over the North Atlantic. Results show that our approach yields the best marine pCO 2 estimates, both in terms of absolute accuracy, when compared with an independent data set, and of geographical patterns, when compared to the climatology of Takahashi et al. (2002). This suggests that monitoring the seasonal variability of pCO 2 over basin-wide regions is possible, provided that sufficient VOS lines are available. Article in Journal/Newspaper North Atlantic HAL Sorbonne Université Annales Geophysicae 25 11 2247 2257
institution Open Polar
collection HAL Sorbonne Université
op_collection_id ftsorbonneuniv
language English
topic [SDU.OCEAN]Sciences of the Universe [physics]/Ocean
Atmosphere
[SDU.STU]Sciences of the Universe [physics]/Earth Sciences
spellingShingle [SDU.OCEAN]Sciences of the Universe [physics]/Ocean
Atmosphere
[SDU.STU]Sciences of the Universe [physics]/Earth Sciences
Jamet, Cédric
Moulin, C.
Lefèvre, Nathalie
Estimation of the oceanic pCO 2 in the North Atlantic from VOS lines in-situ measurements: parameters needed to generate seasonally mean maps
topic_facet [SDU.OCEAN]Sciences of the Universe [physics]/Ocean
Atmosphere
[SDU.STU]Sciences of the Universe [physics]/Earth Sciences
description International audience Automated instruments on board Volunteer Observing Ships (VOS) have provided high-frequency pCO 2 measurements over basin-wide regions for a decade or so. In order to estimate regional air-sea CO 2 fluxes, it is necessary to interpolate between in-situ measurements to obtain maps of the marine pCO 2 . Such an interpolation remains, however, a difficult task because VOS lines are too distant from each other to capture the high pCO 2 variability. Relevant physical parameters available at large scale are thus necessary to serve as a guide to estimate the pCO 2 values between the VOS lines. Satellites do not measure pCO 2 but they give access to parameters related to the processes that control its variability, such as sea surface temperature (SST). In this paper we developed a method to compute pCO 2 maps using satellite data (SST and CHL, the chlorophyll concentration), combined with a climatology of the mixed-layer depth (MLD). Using 15 401 measurements of surface pCO 2 acquired in the North Atlantic between UK and Jamaica, between June 1994 and August 1995, we show that the parameterization of pCO 2 as a function of SST, CHL and MLD yields more realistic pCO 2 values than parameterizations that have been widely used in the past, based on SST, latitude, longitude or SST only. This parameterization was then used to generate seasonal maps of pCO 2 over the North Atlantic. Results show that our approach yields the best marine pCO 2 estimates, both in terms of absolute accuracy, when compared with an independent data set, and of geographical patterns, when compared to the climatology of Takahashi et al. (2002). This suggests that monitoring the seasonal variability of pCO 2 over basin-wide regions is possible, provided that sufficient VOS lines are available.
author2 Laboratoire des Sciences du Climat et de l'Environnement Gif-sur-Yvette (LSCE)
Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Direction de Recherche Fondamentale (CEA) (DRF (CEA))
Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)
format Article in Journal/Newspaper
author Jamet, Cédric
Moulin, C.
Lefèvre, Nathalie
author_facet Jamet, Cédric
Moulin, C.
Lefèvre, Nathalie
author_sort Jamet, Cédric
title Estimation of the oceanic pCO 2 in the North Atlantic from VOS lines in-situ measurements: parameters needed to generate seasonally mean maps
title_short Estimation of the oceanic pCO 2 in the North Atlantic from VOS lines in-situ measurements: parameters needed to generate seasonally mean maps
title_full Estimation of the oceanic pCO 2 in the North Atlantic from VOS lines in-situ measurements: parameters needed to generate seasonally mean maps
title_fullStr Estimation of the oceanic pCO 2 in the North Atlantic from VOS lines in-situ measurements: parameters needed to generate seasonally mean maps
title_full_unstemmed Estimation of the oceanic pCO 2 in the North Atlantic from VOS lines in-situ measurements: parameters needed to generate seasonally mean maps
title_sort estimation of the oceanic pco 2 in the north atlantic from vos lines in-situ measurements: parameters needed to generate seasonally mean maps
publisher HAL CCSD
publishDate 2007
url https://hal.science/hal-00330150
https://hal.science/hal-00330150/document
https://hal.science/hal-00330150/file/angeo-25-2247-2007.pdf
https://doi.org/10.5194/angeo-25-2247-2007
genre North Atlantic
genre_facet North Atlantic
op_source ISSN: 0992-7689
EISSN: 1432-0576
Annales Geophysicae
https://hal.science/hal-00330150
Annales Geophysicae, 2007, 25 (11), pp.2247-2257. ⟨10.5194/angeo-25-2247-2007⟩
op_relation info:eu-repo/semantics/altIdentifier/doi/10.5194/angeo-25-2247-2007
hal-00330150
https://hal.science/hal-00330150
https://hal.science/hal-00330150/document
https://hal.science/hal-00330150/file/angeo-25-2247-2007.pdf
doi:10.5194/angeo-25-2247-2007
IRD: fdi:010042476
op_rights info:eu-repo/semantics/OpenAccess
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container_title Annales Geophysicae
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