CMEMS-LSCE: a global, 0.25°, monthly reconstruction of the surface ocean carbonate system
International audience Observation-based data reconstructions of global surface ocean carbonate system variables play an essential role in monitoring the recent status of ocean carbon uptake and ocean acidification, as well as their impacts on marine organisms and ecosystems. So far, ongoing efforts...
Published in: | Earth System Science Data |
---|---|
Main Authors: | , , , |
Other Authors: | , , , , , , , , , , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
HAL CCSD
2024
|
Subjects: | |
Online Access: | https://hal.science/hal-04455238 https://hal.science/hal-04455238/document https://hal.science/hal-04455238/file/essd-16-121-2024.pdf https://doi.org/10.5194/essd-16-121-2024 |
id |
ftunivparis:oai:HAL:hal-04455238v1 |
---|---|
record_format |
openpolar |
institution |
Open Polar |
collection |
Université de Paris: Portail HAL |
op_collection_id |
ftunivparis |
language |
English |
topic |
[SDU.OCEAN]Sciences of the Universe [physics]/Ocean Atmosphere [SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces environment |
spellingShingle |
[SDU.OCEAN]Sciences of the Universe [physics]/Ocean Atmosphere [SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces environment Chau, Thi-Tuyet-Trang Gehlen, Marion Metzl, Nicolas Chevallier, Frédéric CMEMS-LSCE: a global, 0.25°, monthly reconstruction of the surface ocean carbonate system |
topic_facet |
[SDU.OCEAN]Sciences of the Universe [physics]/Ocean Atmosphere [SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces environment |
description |
International audience Observation-based data reconstructions of global surface ocean carbonate system variables play an essential role in monitoring the recent status of ocean carbon uptake and ocean acidification, as well as their impacts on marine organisms and ecosystems. So far, ongoing efforts are directed towards exploring new approaches to describe the complete marine carbonate system and to better recover its fine-scale features. In this respect, our research activities within the Copernicus Marine Environment Monitoring Service (CMEMS) aim to develop a sustainable production chain of observation-derived global ocean carbonate system datasets at high space-time resolutions. As the start of the long-term objective, this study introduces a new 0.25° monthly reconstruction, namely CMEMS-LSCE (Laboratoire des Sciences du Climat et de l'Environnement) for the period 1985-2021. The CMEMS-LSCE reconstruction derives datasets of six carbonate system variables, including surface ocean partial pressure of CO 2 (pCO 2), total alkalinity (A T), total dissolved inorganic carbon (C T), surface ocean pH, and saturation states with respect to aragonite (ar) and calcite (ca). Reconstructing pCO 2 relies on an ensemble of neural network models mapping gridded observation-based data provided by the Surface Ocean CO 2 ATlas (SOCAT). Surface ocean A T is estimated with a multiple-linear-regression approach, and the remaining carbonate variables are resolved by CO 2 system speciation given the reconstructed pCO 2 and A T 1σ uncertainty associated with these estimates is also provided. Here, σ stands for either the ensemble standard deviation of pCO 2 estimates or the total uncertainty for each of the five other variables propagated through the processing chain with input data uncertainty. We demonstrate that the 0.25° resolution pCO 2 product outperforms a coarser spatial resolution (1 •) thanks to higher data coverage nearshore and a better description of horizontal and temporal variations in pCO 2 across diverse ocean ... |
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) Modelling the Earth Response to Multiple Anthropogenic Interactions and Dynamics (MERMAID) Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-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)) Cycles biogéochimiques marins : processus et perturbations (CYBIOM) Laboratoire d'Océanographie et du Climat : Expérimentations et Approches Numériques (LOCEAN) Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut Pierre-Simon-Laplace (IPSL (FR_636)) École normale supérieure - Paris (ENS-PSL) Université Paris Sciences et Lettres (PSL)-Université Paris Sciences et Lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-École polytechnique (X)-Centre National d'Études Spatiales Toulouse (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité)-École normale supérieure - Paris (ENS-PSL) Université Paris Sciences et Lettres (PSL)-Université Paris Sciences et Lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-École polytechnique (X)-Centre National d'Études Spatiales Toulouse (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité)-Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut Pierre-Simon-Laplace (IPSL (FR_636)) Université Paris Sciences et Lettres (PSL)-Université Paris Sciences et Lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-École polytechnique (X)-Centre National d'Études Spatiales Toulouse (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité) Modélisation INVerse pour les mesures atmosphériques et SATellitaires (SATINV) |
format |
Article in Journal/Newspaper |
author |
Chau, Thi-Tuyet-Trang Gehlen, Marion Metzl, Nicolas Chevallier, Frédéric |
author_facet |
Chau, Thi-Tuyet-Trang Gehlen, Marion Metzl, Nicolas Chevallier, Frédéric |
author_sort |
Chau, Thi-Tuyet-Trang |
title |
CMEMS-LSCE: a global, 0.25°, monthly reconstruction of the surface ocean carbonate system |
title_short |
CMEMS-LSCE: a global, 0.25°, monthly reconstruction of the surface ocean carbonate system |
title_full |
CMEMS-LSCE: a global, 0.25°, monthly reconstruction of the surface ocean carbonate system |
title_fullStr |
CMEMS-LSCE: a global, 0.25°, monthly reconstruction of the surface ocean carbonate system |
title_full_unstemmed |
CMEMS-LSCE: a global, 0.25°, monthly reconstruction of the surface ocean carbonate system |
title_sort |
cmems-lsce: a global, 0.25°, monthly reconstruction of the surface ocean carbonate system |
publisher |
HAL CCSD |
publishDate |
2024 |
url |
https://hal.science/hal-04455238 https://hal.science/hal-04455238/document https://hal.science/hal-04455238/file/essd-16-121-2024.pdf https://doi.org/10.5194/essd-16-121-2024 |
genre |
Ocean acidification |
genre_facet |
Ocean acidification |
op_source |
ISSN: 1866-3508 Earth System Science Data https://hal.science/hal-04455238 Earth System Science Data, 2024, 16 (1), pp.121-160. ⟨10.5194/essd-16-121-2024⟩ |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.5194/essd-16-121-2024 hal-04455238 https://hal.science/hal-04455238 https://hal.science/hal-04455238/document https://hal.science/hal-04455238/file/essd-16-121-2024.pdf doi:10.5194/essd-16-121-2024 |
op_rights |
info:eu-repo/semantics/OpenAccess |
op_doi |
https://doi.org/10.5194/essd-16-121-2024 |
container_title |
Earth System Science Data |
container_volume |
16 |
container_issue |
1 |
container_start_page |
121 |
op_container_end_page |
160 |
_version_ |
1799486910676074496 |
spelling |
ftunivparis:oai:HAL:hal-04455238v1 2024-05-19T07:46:41+00:00 CMEMS-LSCE: a global, 0.25°, monthly reconstruction of the surface ocean carbonate system Chau, Thi-Tuyet-Trang Gehlen, Marion Metzl, Nicolas Chevallier, Frédéric 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) Modelling the Earth Response to Multiple Anthropogenic Interactions and Dynamics (MERMAID) Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-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)) Cycles biogéochimiques marins : processus et perturbations (CYBIOM) Laboratoire d'Océanographie et du Climat : Expérimentations et Approches Numériques (LOCEAN) Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut Pierre-Simon-Laplace (IPSL (FR_636)) École normale supérieure - Paris (ENS-PSL) Université Paris Sciences et Lettres (PSL)-Université Paris Sciences et Lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-École polytechnique (X)-Centre National d'Études Spatiales Toulouse (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité)-École normale supérieure - Paris (ENS-PSL) Université Paris Sciences et Lettres (PSL)-Université Paris Sciences et Lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-École polytechnique (X)-Centre National d'Études Spatiales Toulouse (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité)-Muséum national d'Histoire naturelle (MNHN)-Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut Pierre-Simon-Laplace (IPSL (FR_636)) Université Paris Sciences et Lettres (PSL)-Université Paris Sciences et Lettres (PSL)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-École polytechnique (X)-Centre National d'Études Spatiales Toulouse (CNES)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité) Modélisation INVerse pour les mesures atmosphériques et SATellitaires (SATINV) 2024-01-10 https://hal.science/hal-04455238 https://hal.science/hal-04455238/document https://hal.science/hal-04455238/file/essd-16-121-2024.pdf https://doi.org/10.5194/essd-16-121-2024 en eng HAL CCSD Copernicus Publications info:eu-repo/semantics/altIdentifier/doi/10.5194/essd-16-121-2024 hal-04455238 https://hal.science/hal-04455238 https://hal.science/hal-04455238/document https://hal.science/hal-04455238/file/essd-16-121-2024.pdf doi:10.5194/essd-16-121-2024 info:eu-repo/semantics/OpenAccess ISSN: 1866-3508 Earth System Science Data https://hal.science/hal-04455238 Earth System Science Data, 2024, 16 (1), pp.121-160. ⟨10.5194/essd-16-121-2024⟩ [SDU.OCEAN]Sciences of the Universe [physics]/Ocean Atmosphere [SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces environment info:eu-repo/semantics/article Journal articles 2024 ftunivparis https://doi.org/10.5194/essd-16-121-2024 2024-04-23T03:29:03Z International audience Observation-based data reconstructions of global surface ocean carbonate system variables play an essential role in monitoring the recent status of ocean carbon uptake and ocean acidification, as well as their impacts on marine organisms and ecosystems. So far, ongoing efforts are directed towards exploring new approaches to describe the complete marine carbonate system and to better recover its fine-scale features. In this respect, our research activities within the Copernicus Marine Environment Monitoring Service (CMEMS) aim to develop a sustainable production chain of observation-derived global ocean carbonate system datasets at high space-time resolutions. As the start of the long-term objective, this study introduces a new 0.25° monthly reconstruction, namely CMEMS-LSCE (Laboratoire des Sciences du Climat et de l'Environnement) for the period 1985-2021. The CMEMS-LSCE reconstruction derives datasets of six carbonate system variables, including surface ocean partial pressure of CO 2 (pCO 2), total alkalinity (A T), total dissolved inorganic carbon (C T), surface ocean pH, and saturation states with respect to aragonite (ar) and calcite (ca). Reconstructing pCO 2 relies on an ensemble of neural network models mapping gridded observation-based data provided by the Surface Ocean CO 2 ATlas (SOCAT). Surface ocean A T is estimated with a multiple-linear-regression approach, and the remaining carbonate variables are resolved by CO 2 system speciation given the reconstructed pCO 2 and A T 1σ uncertainty associated with these estimates is also provided. Here, σ stands for either the ensemble standard deviation of pCO 2 estimates or the total uncertainty for each of the five other variables propagated through the processing chain with input data uncertainty. We demonstrate that the 0.25° resolution pCO 2 product outperforms a coarser spatial resolution (1 •) thanks to higher data coverage nearshore and a better description of horizontal and temporal variations in pCO 2 across diverse ocean ... Article in Journal/Newspaper Ocean acidification Université de Paris: Portail HAL Earth System Science Data 16 1 121 160 |