气候变化领域集成服务门户(CCPortal): Progress in subseasonal to seasonal prediction through a joint weather and climate community effort

CCPortal

DOI	10.1038/s41612-018-0014-z
	Progress in subseasonal to seasonal prediction through a joint weather and climate community effort
	Mariotti A.; Ruti P.M.; Rixen M.
发表日期	2018
ISSN	23973722
卷号	1 期号:1
英文摘要	Public expectations have been set for the development of skillful meteorological forecasts of unprecedented leads out to a month or two, filling the so-called subseasonal to seasonal prediction gap. While both the weather and climate communities, coordinated internationally by the World Weather Research Programme (WWRP) and the World Climate Research Programme (WCRP), respectively, can contribute to address this challenge, neither of them can effectively meet the challenge alone. The WWRP/WCRP Subseasonal to Seasonal (S2S) Prediction Project and related initiatives such as the Modeling, Analysis, Predictions and Projections (MAPP) Program S2S Prediction Task Force are providing a framework for needed weather–climate community interactions. Such joint weather–climate efforts need to be sustained in the future for continued progress in subseasonal to seasonal prediction. © 2018, The Author(s).
语种	英语
scopus关键词	accuracy assessment; climate modeling; climate prediction; research work; seasonal variation; weather forecasting
来源期刊	npj Climate and Atmospheric Science
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/178191
作者单位	NOAA Climate Program Office, Silver Spring, MD, United States; World Weather Research Programme, Geneva 2, Switzerland; World Climate Research Programme, Geneva 2, Switzerland
推荐引用方式 GB/T 7714	Mariotti A.,Ruti P.M.,Rixen M.. Progress in subseasonal to seasonal prediction through a joint weather and climate community effort[J],2018,1(1).
APA	Mariotti A.,Ruti P.M.,&Rixen M..(2018).Progress in subseasonal to seasonal prediction through a joint weather and climate community effort.npj Climate and Atmospheric Science,1(1).
MLA	Mariotti A.,et al."Progress in subseasonal to seasonal prediction through a joint weather and climate community effort".npj Climate and Atmospheric Science 1.1(2018).