Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1175/JCLI-D-16-0798.1 |
Archetypal Analysis: Mining Weather and Climate Extremes | |
Hannachi, A.1; Trendafilov, N.2 | |
2017-09-01 | |
发表期刊 | JOURNAL OF CLIMATE
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ISSN | 0894-8755 |
EISSN | 1520-0442 |
出版年 | 2017 |
卷号 | 30期号:17 |
文章类型 | Article |
语种 | 英语 |
国家 | Sweden; England |
英文摘要 | Conventional analysis methods in weather and climate science (e.g., EOF analysis) exhibit a number of drawbacks including scaling and mixing. These methods focus mostly on the bulk of the probability distribution of the system in state space and overlook its tail. This paper explores a different method, the archetypal analysis (AA), which focuses precisely on the extremes. AA seeks to approximate the convex hull of the data in state space by finding "corners'' that represent "pure'' types or archetypes through computing mixture weight matrices. The method is quite new in climate science, although it has been around for about two decades in pattern recognition. It encompasses, in particular, the virtues of EOFs and clustering. The method is presented along with a new manifold-based optimization algorithm that optimizes for the weights simultaneously, unlike the conventional multistep algorithm based on the alternating constrained least squares. The paper discusses the numerical solution and then applies it to the monthly sea surface temperature (SST) from HadISST and to the Asian summer monsoon (ASM) using sea level pressure (SLP) from ERA-40 over the Asian monsoon region. The application to SST reveals, in particular, three archetypes, namely, El Nino, La Nina, and a third pattern representing the western boundary currents. The latter archetype shows a particular trend in the last few decades. The application to the ASM SLP anomalies yields archetypes that are consistent with the ASM regimes found in the literature. Merits and weaknesses of the method along with possible future development are also discussed. |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000407276600018 |
WOS关键词 | EMPIRICAL ORTHOGONAL FUNCTIONS ; WESTERN BOUNDARY CURRENTS ; CIRCULATION REGIMES ; UNITED-STATES ; SHIFT ; MODEL ; EOFS |
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/21260 |
专题 | 气候变化 |
作者单位 | 1.Stockholm Univ, Dept Meteorol, Stockholm, Sweden; 2.Open Univ, Dept Math & Stat, Milton Keynes, Bucks, England |
推荐引用方式 GB/T 7714 | Hannachi, A.,Trendafilov, N.. Archetypal Analysis: Mining Weather and Climate Extremes[J]. JOURNAL OF CLIMATE,2017,30(17). |
APA | Hannachi, A.,&Trendafilov, N..(2017).Archetypal Analysis: Mining Weather and Climate Extremes.JOURNAL OF CLIMATE,30(17). |
MLA | Hannachi, A.,et al."Archetypal Analysis: Mining Weather and Climate Extremes".JOURNAL OF CLIMATE 30.17(2017). |
条目包含的文件 | 条目无相关文件。 |
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