Global Surface Ocean Acidification Indicators From 1750 to 2100

Jiang, Li-Qing, Dunne, John, Carter, Brendan R., Tjiputra, Jerry F., Terhaar, Jens, Sharp, Jonathan D., Olsen, Are, Alin, Simone, Bakker, Dorothee C. E. ORCID: https://orcid.org/0000-0001-9234-5337, 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 and Ziehn, Tilo (2023) Global Surface Ocean Acidification Indicators From 1750 to 2100. Journal of Advances in Modeling Earth Systems, 15 (3). ISSN 1942-2466

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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.

Item Type:	Article
Additional Information:	Research Funding: NOAA Ocean Acidification Program. Grant Number: 21047; NOAA Cooperative Institute for satellite Earth System Studies. Grant Number: NA19NES4320002; Global Ocean Monitoring and Observing Program. Grant Numbers: 100007298, NA21OAR4310251; Research Council of Norway. Grant Number: 270061 and 275268; European Union's Horizon 2020 research and innovation programme. Grant Number: 821003; Swiss National Science Foundation. Grant Number: 200020_200511; Norwegian Research Council. Grant Number: 296012; European Union's Horizon 2020 research and innovation program. Grant Number: 101003536; Ministry of Education, Culture, Sports, Science and Technology, Japan. Grant Number: JPMXD0717935715; Australian National Environmental Science Program; TRIATLAS project. Grant Number: 817578; COMFORT project. Grant Number: 820989; Woods Hole Oceanographic Institution Postdoctoral Scholar Program
Uncontrolled Keywords:	sdg 13 - climate action,sdg 14 - life below water ,/dk/atira/pure/sustainabledevelopmentgoals/climate_action
Faculty \ School:	Faculty of Science > School of Environmental Sciences University of East Anglia Research Groups/Centres > Theme - ClimateUEA
UEA Research Groups:	Faculty of Science > Research Groups > Centre for Ocean and Atmospheric Sciences
Depositing User:	LivePure Connector
Date Deposited:	29 Mar 2023 11:31
Last Modified:	02 Apr 2023 23:53
URI:	https://ueaeprints.uea.ac.uk/id/eprint/91703
DOI:	10.1029/2022MS003563

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