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Ocean climate observing requirements in support of Climate Research and Climate Information

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posted on 2025-08-01, 08:12 authored by D Stammer, A Bracco, K AchutaRao, L Beal, N Bindoff, P Braconnot, W Cai, D Chen, M Collins, G Danabasoglu, B Dewitte, R Farneti, B Fox-Kemper, J Fyfe, S Griffies, SR Jayne, A Lazar, M Lengaigne, X Lin, S Marsland, S Minobe, P Monteiro, W Robinson, RM Koll, R Rykaczewski, S Speich, I Smith, A Solomon, A Storto, K Takahashi, T Tonazzo, J Vialard
Natural variability and change of the Earth's climate have significant global societal impacts. With its large heat and carbon capacity and relatively slow dynamics, the ocean plays an integral role in climate, and provides an important source of predictability at seasonal and longer timescales. In addition, the ocean provides the slowly evolving lower boundary to the atmosphere, both driving and modifying atmospheric weather and climate. Understanding and monitoring ocean climate variability and change, to constrain and initialize models as well as identify model biases for improved climate hindcasting and prediction requires a more scale-sensitive, long-term observing system. A climate observing system has requirements that significantly differ from, and sometimes are orthogonal to, those of other applications. In general terms, they can be summarized by the simultaneous need for both large spatial and long temporal coverage, and by the accuracy and stability required for detecting the local climate signals. This paper reviews the requirements of a climate observing system in terms of space and time scales, and revisits the question of which parameters such a system should encompass to meet future strategic goals of the World Climate Research Program (WCRP), with emphasis on ocean and sea-ice covered areas. It considers global as well as regional aspects that should be accounted for in designing observing systems in individual basins. Furthermore, the paper discusses which data-driven products are required to meet WCRP research and modeling needs, and ways to obtain them through data synthesis and assimilation approaches. Finally, it addresses the need for scientific capacity building and international collaboration in support of the collection of high-quality measurements over the large spatial scales and long time-scales required for climate research, bridging the scientific rational to the required resources for implementation.

Funding

Australian Government’s National Environmental Science Program

CliSAP , Universität Hamburg

NA16OAR4310173

NOAA

NSF-1658174

National Science Foundation (NSF)

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© 2019 Stammer, Bracco, AchutaRao, Beal, Bindoff, Braconnot, Cai, Chen, Collins, Danabasoglu, Dewitte, Farneti, Fox-Kemper, Fyfe, Griffies, Jayne, Lazar, Lengaigne, Lin, Marsland, Minobe, Monteiro, Robinson, Roxy, Rykaczewski, Speich, Smith, Solomon, Storto, Takahashi, Toniazzo and Vialard. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

Notes

This is the final version. Available on open access from Frontiers Media via the DOI in this record

Journal

Frontiers in Marine Science

Publisher

Frontiers Media

Version

  • Version of Record

Language

en

FCD date

2019-11-29T14:46:05Z

FOA date

2019-11-29T14:50:19Z

Citation

Vol. 6, article 444

Department

  • Mathematics and Statistics

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