GSTDTAP
DOI10.1007/s00382-016-3217-1
An update on the estimate of predictability of seasonal mean atmospheric variability using North American Multi-Model Ensemble
Jha, Bhaskar1,2; Kumar, Arun1; Hu, Zeng-Zhen1
2019-12-01
发表期刊CLIMATE DYNAMICS
ISSN0930-7575
EISSN1432-0894
出版年2019
卷号53期号:12页码:7397-7409
文章类型Article
语种英语
国家USA
英文摘要

In this analysis, an update in the estimate of predictable component in the wintertime seasonal variability of atmosphere documented by Kumar et al. (J Clim 20: 3888-3901, 2007) is provided. The updated estimate of seasonal predictability of 200-hPa height (Z200) was based on North American Multi-Model Ensemble (NMME) forecast system. The seasonal prediction systems participating in the NMME have gone through an evolution over a 10-year period compared to models that were used in the analysis by Kumar et al. (J Clim 20: 3888-3901, 2007). The general features in the estimates of predictable signal conform with previous results-estimates of predictability remain high in the tropical latitudes and decrease towards the extratropical latitudes; and predictability in the initialized coupled seasonal forecast systems is still primarily associated with ENSO variability. As the horizontal and vertical resolution of the models used in the current analysis is generally higher, it did not have a marked influence on the estimate of the relative amplitude of predictable component. Although the analysis indicates an increase in the estimate of predictable component, however, it maybe related to the increase in ENSO related SST variance over 1982-2000 relative to 1950-2000 (over which the analysis of Kumar et al. in J Clim 20: 3888-3901, 2007 was). The focus of the analysis is wintertime variability in Z200 and its comparison with results in Kumar et al. (J Clim 20: 3888-3901, 2007), some analyses for summertime variability in Z200, and further, for sea surface temperature, 2-m temperature and precipitation are also presented.


英文关键词NMME Predictability Ensemble mean 200 hPa height
领域气候变化
收录类别SCI-E
WOS记录号WOS:000495247200017
WOS关键词INTERANNUAL VARIABILITY ; CLIMATE VARIABILITY ; UNCERTAINTY ; SKILL ; PREDICTIONS ; COMPONENT ; HEIGHTS ; WINTER ; MODEL
WOS类目Meteorology & Atmospheric Sciences
WOS研究方向Meteorology & Atmospheric Sciences
引用统计
文献类型期刊论文
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/224299
专题环境与发展全球科技态势
作者单位1.NOAA, Climate Predict Ctr, NCEP, NWS, 5830 Univ Res Court, College Pk, MD 20740 USA;
2.Innovim LLC, Greenbelt, MD 20770 USA
推荐引用方式
GB/T 7714
Jha, Bhaskar,Kumar, Arun,Hu, Zeng-Zhen. An update on the estimate of predictability of seasonal mean atmospheric variability using North American Multi-Model Ensemble[J]. CLIMATE DYNAMICS,2019,53(12):7397-7409.
APA Jha, Bhaskar,Kumar, Arun,&Hu, Zeng-Zhen.(2019).An update on the estimate of predictability of seasonal mean atmospheric variability using North American Multi-Model Ensemble.CLIMATE DYNAMICS,53(12),7397-7409.
MLA Jha, Bhaskar,et al."An update on the estimate of predictability of seasonal mean atmospheric variability using North American Multi-Model Ensemble".CLIMATE DYNAMICS 53.12(2019):7397-7409.
条目包含的文件
条目无相关文件。
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Jha, Bhaskar]的文章
[Kumar, Arun]的文章
[Hu, Zeng-Zhen]的文章
百度学术
百度学术中相似的文章
[Jha, Bhaskar]的文章
[Kumar, Arun]的文章
[Hu, Zeng-Zhen]的文章
必应学术
必应学术中相似的文章
[Jha, Bhaskar]的文章
[Kumar, Arun]的文章
[Hu, Zeng-Zhen]的文章
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。