globalchange  > 气候减缓与适应
DOI: 10.1002/grl.50688
论文题名:
Classifying reanalysis surface temperature probability density functions (PDFs) over North America with cluster analysis
作者: Loikith P.C.; Lintner B.R.; Kim J.; Lee H.; Neelin J.D.; Waliser D.E.
刊名: Geophysical Research Letters
ISSN: 0094-8769
EISSN: 1944-8500
出版年: 2013
卷: 40, 期:14
起始页码: 3710
结束页码: 3714
语种: 英语
英文关键词: cluster analysis ; North America ; reanalysis ; surface temperature PDFs
Scopus关键词: Cluster assignment ; K-means clustering ; North America ; Probability density functions (PDFs) ; Reanalysis ; Research and application ; Retrospective analysis ; Surface temperatures ; Atmospheric temperature ; Climate change ; Cluster analysis ; Clustering algorithms ; Computer simulation ; Distribution functions ; Probability distributions ; Surface properties ; Probability density function ; algorithm ; climate change ; cluster analysis ; surface temperature ; temperature effect ; North America
英文摘要: An important step in projecting future climate change impacts on extremes involves quantifying the underlying probability distribution functions (PDFs) of climate variables. However, doing so can prove challenging when multiple models and large domains are considered. Here an approach to PDF quantification using k-means clustering is considered. A standard clustering algorithm (with k = 5 clusters) is applied to 33 years of daily January surface temperature from two state-of-the-art reanalysis products, the North American Regional Reanalysis and the Modern Era Retrospective Analysis for Research and Applications. The resulting cluster assignments yield spatially coherent patterns that can be broadly related to distinct climate regimes over North America, e.g., low variability over the tropical oceans or temperature advection across stronger or weaker gradients. This technique has the potential to be a useful and intuitive tool for evaluation of model-simulated PDF structure and could provide insight into projections of future changes in temperature. © 2013. American Geophysical Union. All Rights Reserved.
URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84880605945&doi=10.1002%2fgrl.50688&partnerID=40&md5=8f88db154bbcf2794db88c8f70c4ec1b
Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/6033
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: NASA Jet Propulsion Laboratory, California Institute of Technology, 4800 Oak Grove Dr., Pasadena, CA 91109, United States

Recommended Citation:
Loikith P.C.,Lintner B.R.,Kim J.,et al. Classifying reanalysis surface temperature probability density functions (PDFs) over North America with cluster analysis[J]. Geophysical Research Letters,2013-01-01,40(14).
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[Loikith P.C.]'s Articles
[Lintner B.R.]'s Articles
[Kim J.]'s Articles
百度学术
Similar articles in Baidu Scholar
[Loikith P.C.]'s Articles
[Lintner B.R.]'s Articles
[Kim J.]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[Loikith P.C.]‘s Articles
[Lintner B.R.]‘s Articles
[Kim J.]‘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.