globalchange  > 气候减缓与适应
DOI: 10.1038/s41558-018-0359-7
WOS记录号: WOS:000456994900011
论文题名:
Towards operational predictions of the near-term climate
作者: Kushnir, Yochanan1; Scaife, Adam A.2,3; Arritt, Raymond4; Balsamo, Gianpaolo5; Boer, George6; Doblas-Reyes, Francisco7,8; Hawkins, Ed9; Kimoto, Masahide10; Kolli, Rupa Kumar11; Kumar, Arun12; Matei, Daniela13; Matthes, Katja14,15; Mueller, Wolfgang A.13,16; O'; Kane, Terence17; Perlwitz, Judith18,19; Power, Scott20; Raphael, Marilyn21; Shimpo, Akihiko22; Smith, Doug2; Tuma, Matthias23; Wu, Bo24
通讯作者: Kushnir, Yochanan ; Scaife, Adam A.
刊名: NATURE CLIMATE CHANGE
ISSN: 1758-678X
EISSN: 1758-6798
出版年: 2019
卷: 9, 期:2, 页码:94-101
语种: 英语
WOS关键词: MODEL INTERCOMPARISON PROJECT ; SURFACE-TEMPERATURE ; DECADAL PREDICTION ; SUBPOLAR GYRE ; EXPERIMENTAL-DESIGN ; OCEAN REANALYSES ; PACIFIC ; PREDICTABILITY ; VARIABILITY ; CMIP5
WOS学科分类: Environmental Sciences ; Environmental Studies ; Meteorology & Atmospheric Sciences
WOS研究方向: Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences
英文摘要:

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.


Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/129255
Appears in Collections:气候减缓与适应

Files in This Item:

There are no files associated with this item.


作者单位: 1.Columbia Univ, Lamont Doherty Earth Observ, Palisades, NY 10964 USA
2.Met Off Hadley Ctr Climate Predict & Res, Exeter, Devon, England
3.Univ Exeter, Coll Engn Math & Phys Sci, Exeter, Devon, England
4.Iowa State Univ, Dept Agron, Ames, IA USA
5.European Ctr Medium Range Weather Forecasts, Reading, Berks, England
6.Environm Canada & Climate Change, Canadian Ctr Climate Modelling & Anal, Victoria, BC, Canada
7.ICREA, Barcelona, Spain
8.Barcelona Supercomp Ctr, Barcelona, Spain
9.Univ Reading, Dept Meteorol, Natl Ctr Atmospher Sci, Reading, Berks, England
10.Univ Tokyo, Atmosphere & Ocean Res Inst, Kashiwa, Chiba, Japan
11.World Meteorol Org, World Climate Applicat & Serv Div, Climate Predict & Adaptat Branch, Climate & Water Dept, Geneva, Switzerland
12.Climate Predict Ctr, College Pk, MD USA
13.Max Planck Inst Meteorol, Hamburg, Germany
14.GEOMAR Helmholtz Ctr Ocean Res Kiel, Kiel, Germany
15.Christian Albrechts Univ Kiel, Kiel, Germany
16.Deutsch Wetterdienst, Hamburg, Germany
17.CSIRO Oceans & Atmosphere, Hobart, Tas, Australia
18.Univ Colorado, Cooperat Inst Res Environm Sci, Boulder, CO USA
19.NOAA, Phys Sci Div, Earth Syst Res Lab, Boulder, CO USA
20.Bur Meteorol, Melbourne, Vic, Australia
21.Univ Calif Los Angeles, Los Angeles, CA USA
22.Japan Meteorol Agcy, Tokyo, Japan
23.WCRP WMO, Geneva, Switzerland
24.Chinese Acad Sci, Inst Atmospher Phys, LASG, Beijing, Peoples R China

Recommended Citation:
Kushnir, Yochanan,Scaife, Adam A.,Arritt, Raymond,et al. Towards operational predictions of the near-term climate[J]. NATURE CLIMATE CHANGE,2019-01-01,9(2):94-101
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[Kushnir, Yochanan]'s Articles
[Scaife, Adam A.]'s Articles
[Arritt, Raymond]'s Articles
百度学术
Similar articles in Baidu Scholar
[Kushnir, Yochanan]'s Articles
[Scaife, Adam A.]'s Articles
[Arritt, Raymond]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[Kushnir, Yochanan]‘s Articles
[Scaife, Adam A.]‘s Articles
[Arritt, Raymond]‘s Articles
Related Copyright Policies
Null
收藏/分享
所有评论 (0)
暂无评论
 

Items in IR are protected by copyright, with all rights reserved, unless otherwise indicated.