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  Opportunities for Earth Observation to Inform Risk Management for Ocean Tipping Points

Wood, R. A., Baker, J. A., Beaugrand, G., Boutin, J., Conversi, A., Donner, R. V., Frenger, I., Goberville, E., Hayashida, H., Koeve, W., Kvale, K., Landolfi, A., Maslowski, W., Oschlies, A., Romanou, A., Somes, C. J., Stocker, T. F., Swingedouw, D. (2024 online): Opportunities for Earth Observation to Inform Risk Management for Ocean Tipping Points. - Surveys in Geophysics.
https://doi.org/10.1007/s10712-024-09859-3

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 Creators:
Wood, Richard A.1, Author
Baker, Jonathan A.1, Author
Beaugrand, Grégory1, Author
Boutin, Jacqueline1, Author
Conversi, Alessandra1, Author
Donner, Reik V.2, Author              
Frenger, Ivy1, Author
Goberville, Eric1, Author
Hayashida, Hakase1, Author
Koeve, Wolfgang1, Author
Kvale, Karin1, Author
Landolfi, Angela1, Author
Maslowski, Wieslaw1, Author
Oschlies, Andreas1, Author
Romanou, Anastasia1, Author
Somes, Christopher J.1, Author
Stocker, Thomas F.1, Author
Swingedouw, Didier1, Author
Affiliations:
1External Organizations, ou_persistent22              
2Potsdam Institute for Climate Impact Research, ou_persistent13              

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 Abstract: As climate change continues, the likelihood of passing critical thresholds or tipping points increases. Hence, there is a need to advance the science for detecting such thresholds. In this paper, we assess the needs and opportunities for Earth Observation (EO, here understood to refer to satellite observations) to inform society in responding to the risks associated with ten potential large-scale ocean tipping elements: Atlantic Meridional Overturning Circulation; Atlantic Subpolar Gyre; Beaufort Gyre; Arctic halocline; Kuroshio Large Meander; deoxygenation; phytoplankton; zooplankton; higher level ecosystems (including fisheries); and marine biodiversity. We review current scientific understanding and identify specific EO and related modelling needs for each of these tipping elements. We draw out some generic points that apply across several of the elements. These common points include the importance of maintaining long-term, consistent time series; the need to combine EO data consistently with in situ data types (including subsurface), for example through data assimilation; and the need to reduce or work with current mismatches in resolution (in both directions) between climate models and EO datasets. Our analysis shows that developing EO, modelling and prediction systems together, with understanding of the strengths and limitations of each, provides many promising paths towards monitoring and early warning systems for tipping, and towards the development of the next generation of climate models.

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Language(s): eng - English
 Dates: 2024-11-06
 Publication Status: Published online
 Pages: 60
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1007/s10712-024-09859-3
PIKDOMAIN: RD1 - Earth System Analysis
Organisational keyword: RD1 - Earth System Analysis
MDB-ID: No data to archive
Working Group: Earth System Modes of Operation
OATYPE: Hybrid Open Access
 Degree: -

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Title: Surveys in Geophysics
Source Genre: Journal, SCI, Scopus, p3
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Pages: - Volume / Issue: - Sequence Number: - Start / End Page: - Identifier: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/journals467
Publisher: Springer