Global Surface Ocean Acidification Indicators From 1750 to 2100
Accurately predicting future ocean acidification (OA) conditions is crucial for advancing OA research at regional and global scales, and guiding society's mitigation and adaptation efforts. This study presents a new model‐data fusion product covering 10 global surface OA indicators based on 14...
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creator | Jiang, Li‐Qing Dunne, John Carter, Brendan R. Tjiputra, Jerry F. Terhaar, Jens Sharp, Jonathan D. Olsen, Are Alin, Simone Bakker, Dorothee C. E. Feely, Richard A. Gattuso, Jean‐Pierre Hogan, Patrick Ilyina, Tatiana Lange, Nico Lauvset, Siv K. Lewis, Ernie R. Lovato, Tomas Palmieri, Julien Santana‐Falcón, Yeray Schwinger, Jörg Séférian, Roland Strand, Gary Swart, Neil Tanhua, Toste Tsujino, Hiroyuki Wanninkhof, Rik Watanabe, Michio Yamamoto, Akitomo Ziehn, Tilo |
description | Accurately predicting future ocean acidification (OA) conditions is crucial for advancing OA research at regional and global scales, and guiding society's mitigation and adaptation efforts. This study presents a new model‐data fusion product covering 10 global surface OA indicators based on 14 Earth System Models (ESMs) from the Coupled Model Intercomparison Project Phase 6 (CMIP6), along with three recent observational ocean carbon data products. The indicators include fugacity of carbon dioxide, pH on total scale, total hydrogen ion content, free hydrogen ion content, carbonate ion content, aragonite saturation state, calcite saturation state, Revelle Factor, total dissolved inorganic carbon content, and total alkalinity content. The evolution of these OA indicators is presented on a global surface ocean 1° × 1° grid as decadal averages every 10 years from preindustrial conditions (1750), through historical conditions (1850–2010), and to five future Shared Socioeconomic Pathways (2020–2100): SSP1‐1.9, SSP1‐2.6, SSP2‐4.5, SSP3‐7.0, and SSP5‐8.5. These OA trajectories represent an improvement over previous OA data products with respect to data quantity, spatial and temporal coverage, diversity of the underlying data and model simulations, and the provided SSPs. The generated data product offers a state‐of‐the‐art research and management tool for the 21st century under the combined stressors of global climate change and ocean acidification. The gridded data product is available in NetCDF at the National Oceanic and Atmospheric Administration (NOAA) National Centers for Environmental Information: https://www.ncei.noaa.gov/data/oceans/ncei/ocads/metadata/0259391.html, and global maps of these indicators are available in jpeg at: https://www.ncei.noaa.gov/access/ocean-carbon-acidification-data-system/synthesis/surface-oa-indicators.html.
Plain Language Summary
A new data product, based on the latest computer simulations and observational data, offers improved projections of ocean acidification (OA) conditions from the start of the Industrial Revolution in 1750 to the end of the 21st century. These projections will support OA research at regional and global scales, and provide essential information to guide OA mitigation and adaptation efforts for various sectors, including fisheries, aquaculture, tourism, marine resource decision‐makers, and the general public.
Key Points
This study presents the evolution of 10 ocean acidification (OA) indicators in the global |
doi_str_mv | 10.1029/2022MS003563 |
format | Article |
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Plain Language Summary
A new data product, based on the latest computer simulations and observational data, offers improved projections of ocean acidification (OA) conditions from the start of the Industrial Revolution in 1750 to the end of the 21st century. These projections will support OA research at regional and global scales, and provide essential information to guide OA mitigation and adaptation efforts for various sectors, including fisheries, aquaculture, tourism, marine resource decision‐makers, and the general public.
Key Points
This study presents the evolution of 10 ocean acidification (OA) indicators in the global surface ocean from 1750 to 2100
By leveraging 14 Earth System Models (ESMs) and the latest observational data, it represents a significant advancement in OA projections
This inter‐model comparison effort showcases the overall agreements among different ESMs in projecting surface ocean carbon variables</description><identifier>ISSN: 1942-2466</identifier><identifier>EISSN: 1942-2466</identifier><identifier>DOI: 10.1029/2022MS003563</identifier><language>eng</language><publisher>Washington: John Wiley & Sons, Inc</publisher><subject>21st century ; Acidification ; Alkalinity ; Aragonite ; aragonite saturation state ; Calcite ; Carbon content ; Carbon dioxide ; Carbonates ; Climate change ; Data analysis ; Dissolved inorganic carbon ; Earth System Models ; Environmental information ; Environmental Sciences ; Global climate ; global surface ocean ; Greenhouse gases ; Hydrogen ions ; Indicators ; Intercomparison ; Mitigation ; Modelling ; Ocean acidification ; ocean acidification indicators ; Oceanic analysis ; Oceans ; Salinity ; Saturation ; Shared Socioeconomic Pathways</subject><ispartof>Journal of advances in modeling earth systems, 2023-03, Vol.15 (3), p.n/a</ispartof><rights>2023 The Authors. Journal of Advances in Modeling Earth Systems published by Wiley Periodicals LLC on behalf of American Geophysical Union.</rights><rights>2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>Attribution - NonCommercial - ShareAlike</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4227-c6b01eb364c5e53c9010b96fefa8edfd3e7b346330ec9922c5c351f67f668aa23</citedby><cites>FETCH-LOGICAL-c4227-c6b01eb364c5e53c9010b96fefa8edfd3e7b346330ec9922c5c351f67f668aa23</cites><orcidid>0000-0001-9873-9775 ; 0000-0002-2627-1947 ; 0000-0002-8794-0489 ; 0000-0003-3336-0275 ; 0000-0003-0314-4854 ; 0000-0002-3475-4842 ; 0000-0001-9234-5337 ; 0000-0002-4600-2453 ; 0000-0003-3311-1658 ; 0000-0002-1344-0107 ; 0000-0001-9740-0104 ; 0000-0001-9377-415X ; 0000-0003-1973-3514 ; 0000-0002-8200-6187 ; 0000-0002-2571-2114 ; 0000-0002-0313-2557 ; 0000-0003-2445-0711 ; 0000-0002-5188-6767 ; 0000-0002-2023-7406 ; 0000-0003-1696-9142 ; 0000-0002-4533-4114 ; 0000-0002-8283-1910 ; 0000-0001-8498-4067</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1029%2F2022MS003563$$EPDF$$P50$$Gwiley$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1029%2F2022MS003563$$EHTML$$P50$$Gwiley$$Hfree_for_read</linktohtml><link.rule.ids>230,314,776,780,860,881,1411,11541,27901,27902,45550,45551,46027,46451</link.rule.ids><backlink>$$Uhttps://hal.science/hal-04043881$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Jiang, Li‐Qing</creatorcontrib><creatorcontrib>Dunne, John</creatorcontrib><creatorcontrib>Carter, Brendan R.</creatorcontrib><creatorcontrib>Tjiputra, Jerry F.</creatorcontrib><creatorcontrib>Terhaar, Jens</creatorcontrib><creatorcontrib>Sharp, Jonathan D.</creatorcontrib><creatorcontrib>Olsen, Are</creatorcontrib><creatorcontrib>Alin, Simone</creatorcontrib><creatorcontrib>Bakker, Dorothee C. E.</creatorcontrib><creatorcontrib>Feely, Richard A.</creatorcontrib><creatorcontrib>Gattuso, Jean‐Pierre</creatorcontrib><creatorcontrib>Hogan, Patrick</creatorcontrib><creatorcontrib>Ilyina, Tatiana</creatorcontrib><creatorcontrib>Lange, Nico</creatorcontrib><creatorcontrib>Lauvset, Siv K.</creatorcontrib><creatorcontrib>Lewis, Ernie R.</creatorcontrib><creatorcontrib>Lovato, Tomas</creatorcontrib><creatorcontrib>Palmieri, Julien</creatorcontrib><creatorcontrib>Santana‐Falcón, Yeray</creatorcontrib><creatorcontrib>Schwinger, Jörg</creatorcontrib><creatorcontrib>Séférian, Roland</creatorcontrib><creatorcontrib>Strand, Gary</creatorcontrib><creatorcontrib>Swart, Neil</creatorcontrib><creatorcontrib>Tanhua, Toste</creatorcontrib><creatorcontrib>Tsujino, Hiroyuki</creatorcontrib><creatorcontrib>Wanninkhof, Rik</creatorcontrib><creatorcontrib>Watanabe, Michio</creatorcontrib><creatorcontrib>Yamamoto, Akitomo</creatorcontrib><creatorcontrib>Ziehn, Tilo</creatorcontrib><title>Global Surface Ocean Acidification Indicators From 1750 to 2100</title><title>Journal of advances in modeling earth systems</title><description>Accurately predicting future ocean acidification (OA) conditions is crucial for advancing OA research at regional and global scales, and guiding society's mitigation and adaptation efforts. This study presents a new model‐data fusion product covering 10 global surface OA indicators based on 14 Earth System Models (ESMs) from the Coupled Model Intercomparison Project Phase 6 (CMIP6), along with three recent observational ocean carbon data products. The indicators include fugacity of carbon dioxide, pH on total scale, total hydrogen ion content, free hydrogen ion content, carbonate ion content, aragonite saturation state, calcite saturation state, Revelle Factor, total dissolved inorganic carbon content, and total alkalinity content. The evolution of these OA indicators is presented on a global surface ocean 1° × 1° grid as decadal averages every 10 years from preindustrial conditions (1750), through historical conditions (1850–2010), and to five future Shared Socioeconomic Pathways (2020–2100): SSP1‐1.9, SSP1‐2.6, SSP2‐4.5, SSP3‐7.0, and SSP5‐8.5. These OA trajectories represent an improvement over previous OA data products with respect to data quantity, spatial and temporal coverage, diversity of the underlying data and model simulations, and the provided SSPs. The generated data product offers a state‐of‐the‐art research and management tool for the 21st century under the combined stressors of global climate change and ocean acidification. The gridded data product is available in NetCDF at the National Oceanic and Atmospheric Administration (NOAA) National Centers for Environmental Information: https://www.ncei.noaa.gov/data/oceans/ncei/ocads/metadata/0259391.html, and global maps of these indicators are available in jpeg at: https://www.ncei.noaa.gov/access/ocean-carbon-acidification-data-system/synthesis/surface-oa-indicators.html.
Plain Language Summary
A new data product, based on the latest computer simulations and observational data, offers improved projections of ocean acidification (OA) conditions from the start of the Industrial Revolution in 1750 to the end of the 21st century. These projections will support OA research at regional and global scales, and provide essential information to guide OA mitigation and adaptation efforts for various sectors, including fisheries, aquaculture, tourism, marine resource decision‐makers, and the general public.
Key Points
This study presents the evolution of 10 ocean acidification (OA) indicators in the global surface ocean from 1750 to 2100
By leveraging 14 Earth System Models (ESMs) and the latest observational data, it represents a significant advancement in OA projections
This inter‐model comparison effort showcases the overall agreements among different ESMs in projecting surface ocean carbon variables</description><subject>21st century</subject><subject>Acidification</subject><subject>Alkalinity</subject><subject>Aragonite</subject><subject>aragonite saturation state</subject><subject>Calcite</subject><subject>Carbon content</subject><subject>Carbon dioxide</subject><subject>Carbonates</subject><subject>Climate change</subject><subject>Data analysis</subject><subject>Dissolved inorganic carbon</subject><subject>Earth System Models</subject><subject>Environmental information</subject><subject>Environmental Sciences</subject><subject>Global climate</subject><subject>global surface ocean</subject><subject>Greenhouse gases</subject><subject>Hydrogen ions</subject><subject>Indicators</subject><subject>Intercomparison</subject><subject>Mitigation</subject><subject>Modelling</subject><subject>Ocean acidification</subject><subject>ocean acidification indicators</subject><subject>Oceanic analysis</subject><subject>Oceans</subject><subject>Salinity</subject><subject>Saturation</subject><subject>Shared Socioeconomic Pathways</subject><issn>1942-2466</issn><issn>1942-2466</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>24P</sourceid><sourceid>BENPR</sourceid><recordid>eNp90M9LwzAUB_AgCs7pzT8g4Emw-vKSpu1JxtgPZWOH6TmkaYIdXTPTTdl_b0tFdvL0Ho8PXx5fQm4ZPDLA7AkBcbkG4LHkZ2TAMoERCinPT_ZLctU0GwApJcYD8jyrfK4ruj4Ep42lK2N1TUemLEpXGr0vfU1f6qJbfWjoNPgtZUkMdO8pMoBrcuF01dib3zkk79PJ23geLVazl_FoERmBmERG5sBszqUwsY25yYBBnklnnU5t4Qpuk5wLyTlYk2WIJjY8Zk4mTspUa-RDct_nfuhK7UK51eGovC7VfLRQ3Q0ECJ6m7Iu19q63u-A_D7bZq40_hLp9T2GSMdFWkXTqoVcm-KYJ1v3FMlBdneq0zpbznn-XlT3-a9XraDlBlrKE_wCBsXH8</recordid><startdate>202303</startdate><enddate>202303</enddate><creator>Jiang, Li‐Qing</creator><creator>Dunne, John</creator><creator>Carter, Brendan R.</creator><creator>Tjiputra, Jerry F.</creator><creator>Terhaar, Jens</creator><creator>Sharp, Jonathan D.</creator><creator>Olsen, Are</creator><creator>Alin, Simone</creator><creator>Bakker, Dorothee C. 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E. ; Feely, Richard A. ; Gattuso, Jean‐Pierre ; Hogan, Patrick ; Ilyina, Tatiana ; Lange, Nico ; Lauvset, Siv K. ; Lewis, Ernie R. ; Lovato, Tomas ; Palmieri, Julien ; Santana‐Falcón, Yeray ; Schwinger, Jörg ; Séférian, Roland ; Strand, Gary ; Swart, Neil ; Tanhua, Toste ; Tsujino, Hiroyuki ; Wanninkhof, Rik ; Watanabe, Michio ; Yamamoto, Akitomo ; Ziehn, Tilo</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4227-c6b01eb364c5e53c9010b96fefa8edfd3e7b346330ec9922c5c351f67f668aa23</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>21st century</topic><topic>Acidification</topic><topic>Alkalinity</topic><topic>Aragonite</topic><topic>aragonite saturation state</topic><topic>Calcite</topic><topic>Carbon content</topic><topic>Carbon dioxide</topic><topic>Carbonates</topic><topic>Climate change</topic><topic>Data analysis</topic><topic>Dissolved inorganic carbon</topic><topic>Earth System Models</topic><topic>Environmental information</topic><topic>Environmental Sciences</topic><topic>Global climate</topic><topic>global surface ocean</topic><topic>Greenhouse gases</topic><topic>Hydrogen ions</topic><topic>Indicators</topic><topic>Intercomparison</topic><topic>Mitigation</topic><topic>Modelling</topic><topic>Ocean acidification</topic><topic>ocean acidification indicators</topic><topic>Oceanic analysis</topic><topic>Oceans</topic><topic>Salinity</topic><topic>Saturation</topic><topic>Shared Socioeconomic Pathways</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Jiang, Li‐Qing</creatorcontrib><creatorcontrib>Dunne, John</creatorcontrib><creatorcontrib>Carter, Brendan R.</creatorcontrib><creatorcontrib>Tjiputra, Jerry F.</creatorcontrib><creatorcontrib>Terhaar, Jens</creatorcontrib><creatorcontrib>Sharp, Jonathan D.</creatorcontrib><creatorcontrib>Olsen, Are</creatorcontrib><creatorcontrib>Alin, Simone</creatorcontrib><creatorcontrib>Bakker, Dorothee C. E.</creatorcontrib><creatorcontrib>Feely, Richard A.</creatorcontrib><creatorcontrib>Gattuso, Jean‐Pierre</creatorcontrib><creatorcontrib>Hogan, Patrick</creatorcontrib><creatorcontrib>Ilyina, Tatiana</creatorcontrib><creatorcontrib>Lange, Nico</creatorcontrib><creatorcontrib>Lauvset, Siv K.</creatorcontrib><creatorcontrib>Lewis, Ernie R.</creatorcontrib><creatorcontrib>Lovato, Tomas</creatorcontrib><creatorcontrib>Palmieri, Julien</creatorcontrib><creatorcontrib>Santana‐Falcón, Yeray</creatorcontrib><creatorcontrib>Schwinger, Jörg</creatorcontrib><creatorcontrib>Séférian, Roland</creatorcontrib><creatorcontrib>Strand, Gary</creatorcontrib><creatorcontrib>Swart, Neil</creatorcontrib><creatorcontrib>Tanhua, Toste</creatorcontrib><creatorcontrib>Tsujino, Hiroyuki</creatorcontrib><creatorcontrib>Wanninkhof, Rik</creatorcontrib><creatorcontrib>Watanabe, Michio</creatorcontrib><creatorcontrib>Yamamoto, Akitomo</creatorcontrib><creatorcontrib>Ziehn, Tilo</creatorcontrib><collection>Wiley Online Library Open Access</collection><collection>CrossRef</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>ProQuest Natural Science Collection</collection><collection>Earth, Atmospheric & Aquatic Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>SciTech Premium Collection</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>ProQuest Earth, Atmospheric & Aquatic Science Database</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Hyper Article en Ligne (HAL)</collection><collection>Hyper Article en Ligne (HAL) (Open Access)</collection><jtitle>Journal of advances in modeling earth systems</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Jiang, Li‐Qing</au><au>Dunne, John</au><au>Carter, Brendan R.</au><au>Tjiputra, Jerry F.</au><au>Terhaar, Jens</au><au>Sharp, Jonathan D.</au><au>Olsen, Are</au><au>Alin, Simone</au><au>Bakker, Dorothee C. E.</au><au>Feely, Richard A.</au><au>Gattuso, Jean‐Pierre</au><au>Hogan, Patrick</au><au>Ilyina, Tatiana</au><au>Lange, Nico</au><au>Lauvset, Siv K.</au><au>Lewis, Ernie R.</au><au>Lovato, Tomas</au><au>Palmieri, Julien</au><au>Santana‐Falcón, Yeray</au><au>Schwinger, Jörg</au><au>Séférian, Roland</au><au>Strand, Gary</au><au>Swart, Neil</au><au>Tanhua, Toste</au><au>Tsujino, Hiroyuki</au><au>Wanninkhof, Rik</au><au>Watanabe, Michio</au><au>Yamamoto, Akitomo</au><au>Ziehn, Tilo</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Global Surface Ocean Acidification Indicators From 1750 to 2100</atitle><jtitle>Journal of advances in modeling earth systems</jtitle><date>2023-03</date><risdate>2023</risdate><volume>15</volume><issue>3</issue><epage>n/a</epage><issn>1942-2466</issn><eissn>1942-2466</eissn><abstract>Accurately predicting future ocean acidification (OA) conditions is crucial for advancing OA research at regional and global scales, and guiding society's mitigation and adaptation efforts. This study presents a new model‐data fusion product covering 10 global surface OA indicators based on 14 Earth System Models (ESMs) from the Coupled Model Intercomparison Project Phase 6 (CMIP6), along with three recent observational ocean carbon data products. The indicators include fugacity of carbon dioxide, pH on total scale, total hydrogen ion content, free hydrogen ion content, carbonate ion content, aragonite saturation state, calcite saturation state, Revelle Factor, total dissolved inorganic carbon content, and total alkalinity content. The evolution of these OA indicators is presented on a global surface ocean 1° × 1° grid as decadal averages every 10 years from preindustrial conditions (1750), through historical conditions (1850–2010), and to five future Shared Socioeconomic Pathways (2020–2100): SSP1‐1.9, SSP1‐2.6, SSP2‐4.5, SSP3‐7.0, and SSP5‐8.5. These OA trajectories represent an improvement over previous OA data products with respect to data quantity, spatial and temporal coverage, diversity of the underlying data and model simulations, and the provided SSPs. The generated data product offers a state‐of‐the‐art research and management tool for the 21st century under the combined stressors of global climate change and ocean acidification. The gridded data product is available in NetCDF at the National Oceanic and Atmospheric Administration (NOAA) National Centers for Environmental Information: https://www.ncei.noaa.gov/data/oceans/ncei/ocads/metadata/0259391.html, and global maps of these indicators are available in jpeg at: https://www.ncei.noaa.gov/access/ocean-carbon-acidification-data-system/synthesis/surface-oa-indicators.html.
Plain Language Summary
A new data product, based on the latest computer simulations and observational data, offers improved projections of ocean acidification (OA) conditions from the start of the Industrial Revolution in 1750 to the end of the 21st century. These projections will support OA research at regional and global scales, and provide essential information to guide OA mitigation and adaptation efforts for various sectors, including fisheries, aquaculture, tourism, marine resource decision‐makers, and the general public.
Key Points
This study presents the evolution of 10 ocean acidification (OA) indicators in the global surface ocean from 1750 to 2100
By leveraging 14 Earth System Models (ESMs) and the latest observational data, it represents a significant advancement in OA projections
This inter‐model comparison effort showcases the overall agreements among different ESMs in projecting surface ocean carbon variables</abstract><cop>Washington</cop><pub>John Wiley & Sons, Inc</pub><doi>10.1029/2022MS003563</doi><tpages>23</tpages><orcidid>https://orcid.org/0000-0001-9873-9775</orcidid><orcidid>https://orcid.org/0000-0002-2627-1947</orcidid><orcidid>https://orcid.org/0000-0002-8794-0489</orcidid><orcidid>https://orcid.org/0000-0003-3336-0275</orcidid><orcidid>https://orcid.org/0000-0003-0314-4854</orcidid><orcidid>https://orcid.org/0000-0002-3475-4842</orcidid><orcidid>https://orcid.org/0000-0001-9234-5337</orcidid><orcidid>https://orcid.org/0000-0002-4600-2453</orcidid><orcidid>https://orcid.org/0000-0003-3311-1658</orcidid><orcidid>https://orcid.org/0000-0002-1344-0107</orcidid><orcidid>https://orcid.org/0000-0001-9740-0104</orcidid><orcidid>https://orcid.org/0000-0001-9377-415X</orcidid><orcidid>https://orcid.org/0000-0003-1973-3514</orcidid><orcidid>https://orcid.org/0000-0002-8200-6187</orcidid><orcidid>https://orcid.org/0000-0002-2571-2114</orcidid><orcidid>https://orcid.org/0000-0002-0313-2557</orcidid><orcidid>https://orcid.org/0000-0003-2445-0711</orcidid><orcidid>https://orcid.org/0000-0002-5188-6767</orcidid><orcidid>https://orcid.org/0000-0002-2023-7406</orcidid><orcidid>https://orcid.org/0000-0003-1696-9142</orcidid><orcidid>https://orcid.org/0000-0002-4533-4114</orcidid><orcidid>https://orcid.org/0000-0002-8283-1910</orcidid><orcidid>https://orcid.org/0000-0001-8498-4067</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1942-2466 |
ispartof | Journal of advances in modeling earth systems, 2023-03, Vol.15 (3), p.n/a |
issn | 1942-2466 1942-2466 |
language | eng |
recordid | cdi_hal_primary_oai_HAL_hal_04043881v1 |
source | Wiley-Blackwell Journals; Wiley Online Library Open Access; Directory of Open Access Journals; EZB Electronic Journals Library |
subjects | 21st century Acidification Alkalinity Aragonite aragonite saturation state Calcite Carbon content Carbon dioxide Carbonates Climate change Data analysis Dissolved inorganic carbon Earth System Models Environmental information Environmental Sciences Global climate global surface ocean Greenhouse gases Hydrogen ions Indicators Intercomparison Mitigation Modelling Ocean acidification ocean acidification indicators Oceanic analysis Oceans Salinity Saturation Shared Socioeconomic Pathways |
title | Global Surface Ocean Acidification Indicators From 1750 to 2100 |
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