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DOI10.1175/JCLI-D-19-0142.1
New insights on subseasonal arctic-midlatitude causal connections from a regularized regression model
McGraw M.C.; Barnes E.A.
发表日期2020
ISSN0894-8755
起始页码213
结束页码228
卷号33期号:1
英文摘要Arctic-midlatitude teleconnections are complex and multifaceted. By design, targeted modeling studies typically focus only on one direction of influence-usually, the midlatitude atmospheric response to a changing Arctic. The two-way, coupled feedbacks between the Arctic and the midlatitude circulation on submonthly time scales are explored using a regularized regression model formulated around Granger causality. The regularized regression model indicates that there are regions in which Arctic temperature drives a midlatitude circulation response, and regions in which the midlatitude circulation drives a response in the Arctic; however, these regions rarely overlap. In many regions, on submonthly time scales, the midlatitude circulation drives Arctic temperature variability, highlighting the important role the midlatitude circulation can play in impacting the Arctic. In particular, the regularized regression model results support recent work that indicates that the observed high pressure anomalies over Eurasia drive a significant response in the Arctic on submonthly time scales, rather than being driven by the Arctic. © 2019 American Meteorological Society. For information regarding reuse of this content and general copyright information, consult the AMS Copyright Policy (www.ametsoc.org/PUBSReuseLicenses).
英文关键词Time measurement; Arctic temperature; Atmospheric response; Granger Causality; High pressure; Midlatitudes; Regression model; Teleconnections; Time-scales; Regression analysis; Granger causality test; midlatitude environment; pressure gradient; regression analysis; seasonal variation; teleconnection; Eurasia
语种英语
来源期刊Journal of Climate
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/171567
作者单位Department of Atmospheric Science, Colorado State University, Fort Collins, CO, United States; Department of Atmospheric Science, University of Washington, Seattle, WA, United States
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McGraw M.C.,Barnes E.A.. New insights on subseasonal arctic-midlatitude causal connections from a regularized regression model[J],2020,33(1).
APA McGraw M.C.,&Barnes E.A..(2020).New insights on subseasonal arctic-midlatitude causal connections from a regularized regression model.Journal of Climate,33(1).
MLA McGraw M.C.,et al."New insights on subseasonal arctic-midlatitude causal connections from a regularized regression model".Journal of Climate 33.1(2020).
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