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  Towards operational predictions of the near-term climate

Kushnir, Y., Scaife, A. A., Arritt, R., Balsamo, G., Boer, G., Doblas-Reyes, F., et al. (2019). Towards operational predictions of the near-term climate. Nature Climate Change, 9, 94-101. doi:10.1038/s41558-018-0359-7.

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 Creators:
Kushnir, Yochanan1, Author
Scaife, Adam A.1, Author
Arritt, Raymond1, Author
Balsamo, Gianpaolo1, Author
Boer, George1, Author
Doblas-Reyes, Francisco1, Author
Hawkins, Ed1, Author
Kimoto, Masahide1, Author
Kolli, Rupa Kumar1, Author
Kumar, Arun1, Author
Matei, Daniela2, Author                 
Matthes, Katja1, Author
Müller, Wolfgang A.3, Author           
O'Kane, Terence1, Author
Perlwitz, Judith1, Author
Power, Scott1, Author
Raphael, Marilyn1, Author
Shimpo, Akihiko1, Author
Smith, Doug1, Author
Tuma, Matthias1, Author
Wu, Bo1, Author more..
Affiliations:
1external, ou_persistent22              
2Director’s Research Group OES, The Ocean in the Earth System, MPI for Meteorology, Max Planck Society, ou_913553              
3Decadal Climate Predictions - MiKlip, The Ocean in the Earth System, MPI for Meteorology, Max Planck Society, ou_1479671              

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Free keywords: MODEL INTERCOMPARISON PROJECT; SURFACE-TEMPERATURE; DECADAL PREDICTION; SUBPOLAR GYRE; EXPERIMENTAL-DESIGN; OCEAN REANALYSES; PACIFIC; PREDICTABILITY; VARIABILITY; CMIP5
 Abstract: Near-term climate predictions - which operate on annual to decadal timescales - offer benefits for climate adaptation and resilience, and are thus important for society. Although skilful near-term predictions are now possible, particularly when coupled models are initialized from the current climate state (most importantly from the ocean), several scientific challenges remain, including gaps in understanding and modelling the underlying physical mechanisms. This Perspective discusses how these challenges can be overcome, outlining concrete steps towards the provision of operational near-term climate predictions. Progress in this endeavour will bridge the gap between current seasonal forecasts and century-scale climate change projections, allowing a seamless climate service delivery chain to be established.

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Language(s): eng - English
 Dates: 2019-01-212019-01-21
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1038/s41558-018-0359-7
 Degree: -

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Title: Nature Climate Change
Source Genre: Journal
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Publ. Info: London : Nature Publishing Group
Pages: - Volume / Issue: 9 Sequence Number: - Start / End Page: 94 - 101 Identifier: ISSN: 1758-678x
CoNE: https://pure.mpg.de/cone/journals/resource/1758-678x