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  Global surface ocean acidification indicators from 1750 to 2100

Jiang, L.-Q., Dunne, J., Carter, B., Tjiputra, J., Terhaar, J., Sharp, J., et al. (2023). Global surface ocean acidification indicators from 1750 to 2100. Journal of Advances in Modeling Earth Systems, 15: e2022MS003563. doi:10.1029/2022MS003563.

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JAMES_ Jiang_2023.pdf (Publisher version), 9MB
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JAMES_ Jiang_2023.pdf
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2023
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 Creators:
Jiang, L.-Q.1, Author
Dunne, J.1, Author
Carter, B.R.1, Author
Tjiputra, J.F.1, Author
Terhaar, J.1, Author
Sharp, J.D.1, Author
Olsen, A.1, Author
Alin, S.1, Author
Bakker, D.C.E.1, Author
Feely, R.A.1, Author
Gattuso, J.-P.1, Author
Hogan, P.1, Author
Ilyina, Tatiana2, Author                 
Lange, N.1, Author
Lauvset, S.K.1, Author
Lewis, E.R.1, Author
Lovato, T.1, Author
Palmieri, J.1, Author
Santana-Falcón, Y.1, Author
Schwinger, J.1, Author
Séférian, R.1, AuthorStrand, G.1, AuthorSwart, N.1, AuthorTanhua, T.1, AuthorTsujino, H.1, AuthorWanninkhof, R.1, AuthorWatanabe, M.1, AuthorYamamoto, A.1, AuthorZiehn, T.1, Author more..
Affiliations:
1External Organizations, ou_persistent22              
2Ocean Biogeochemistry, Department Climate Variability, MPI for Meteorology, Max Planck Society, Bundesstraße 53, 20146 Hamburg, DE, ou_913556              

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Free keywords: Acidification; Alkalinity; Calcite; Carbonate minerals; Climate change; Data fusion; Earth (planet); Earth system models; HTTP; Ions; Oceanography, Aragonite saturation state; Data products; Earth system modeling; Global surface ocean; Ocean acidification indicator; Ocean acidifications; Saturation state; Shared socioeconomic pathway; Socio-economics; Surface ocean, Carbon dioxide, aragonite; climate change; climate modeling; CMIP; environmental indicator; fugacity; global climate; global perspective; ocean acidification; pH; saturation
 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. © 2023 The Authors. Journal of Advances in Modeling Earth Systems published by Wiley Periodicals LLC on behalf of American Geophysical Union.

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Language(s): eng - English
 Dates: 2023-03-032023-03-23
 Publication Status: Published online
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1029/2022MS003563
BibTex Citekey: JiangDunneEtAl2023
 Degree: -

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Title: Journal of Advances in Modeling Earth Systems
Source Genre: Journal
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Publ. Info: John Wiley and Sons Inc
Pages: - Volume / Issue: 15 Sequence Number: e2022MS003563 Start / End Page: - Identifier: ISSN: 19422466