Stammer, D., Bracco, A., Braconnot, P., Brasseur, G. P., Griffies, S. M. and Hawkins, E.
ORCID: https://orcid.org/0000-0001-9477-3677
(2018)
Science directions in a post-COP21-world of transient climate change: enabling regional to local predictions in support of reliable climate information.
Earth's Future, 6 (11).
pp. 1498-1507.
ISSN 2328-4277
doi: 10.1029/2018EF000979
Abstract/Summary
During recent decades, through theoretical considerations and analyses of observations andmodel simulations, the scientific community has fundamentally advanced our understanding of thecoupled climate system, thereby establishing that humans affect the Earth’s climate. Resulting from thisremarkable accomplishment, the COP21 agreement marks a historic turning point for climate research bycalling for actionable regional climate change information on time scales from seasonal to centuries for thebenefit of humanity, as well as living and nonliving elements of the Earth environment. Out of the underlyingUnited National Framework Convention on climate Change process, improving seamless regional climateforecast capabilities emerges as a key challenge for the international research community. Addressing itrequires a multiscale approach to climate predictions. Here we offer a vision that emphasizes enhancedscientific understanding of regional to local climate processes as the foundation for progress. The scientificchallenge is extreme due to the rich complexity of interactions and feedbacks between regional andglobal processes, each of which affects the global climate trajectory. To gain the necessary scientific insightand to turn it into actionable climate information require technical development, international coordination,and a close interaction between the science and stakeholder communities.
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| Item Type | Article |
| URI | https://reading-clone.eprints-hosting.org/id/eprint/80785 |
| Identification Number/DOI | 10.1029/2018EF000979 |
| Refereed | Yes |
| Divisions | Science > School of Mathematical, Physical and Computational Sciences > NCAS Science > School of Mathematical, Physical and Computational Sciences > Department of Meteorology |
| Publisher | Wiley |
| Download/View statistics | View download statistics for this item |
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