globalchange  > 过去全球变化的重建
DOI: 10.1007/s00382-015-2638-6
Scopus记录号: 2-s2.0-84957434131
论文题名:
North American extreme temperature events and related large scale meteorological patterns: a review of statistical methods, dynamics, modeling, and trends
作者: Grotjahn R.; Black R.; Leung R.; Wehner M.F.; Barlow M.; Bosilovich M.; Gershunov A.; Gutowski W.J.; Jr.; Gyakum J.R.; Katz R.W.; Lee Y.-Y.; Lim Y.-K.; Prabhat
刊名: Climate Dynamics
ISSN: 9307575
出版年: 2016
卷: 46, 期:2017-03-04
起始页码: 1151
结束页码: 1184
语种: 英语
英文关键词: Cold air outbreaks ; Cold spells ; Dynamical modeling of temperature extremes ; Dynamics of cold air outbreaks ; Dynamics of heat waves ; Heat waves ; Hot spells ; Large scale meteorological patterns for temperature extremes ; Statistical modeling of extremes ; Statistics of temperature extremes ; Trends in temperature extremes
英文摘要: The objective of this paper is to review statistical methods, dynamics, modeling efforts, and trends related to temperature extremes, with a focus upon extreme events of short duration that affect parts of North America. These events are associated with large scale meteorological patterns (LSMPs). The statistics, dynamics, and modeling sections of this paper are written to be autonomous and so can be read separately. Methods to define extreme events statistics and to identify and connect LSMPs to extreme temperature events are presented. Recent advances in statistical techniques connect LSMPs to extreme temperatures through appropriately defined covariates that supplement more straightforward analyses. Various LSMPs, ranging from synoptic to planetary scale structures, are associated with extreme temperature events. Current knowledge about the synoptics and the dynamical mechanisms leading to the associated LSMPs is incomplete. Systematic studies of: the physics of LSMP life cycles, comprehensive model assessment of LSMP-extreme temperature event linkages, and LSMP properties are needed. Generally, climate models capture observed properties of heat waves and cold air outbreaks with some fidelity. However they overestimate warm wave frequency and underestimate cold air outbreak frequency, and underestimate the collective influence of low-frequency modes on temperature extremes. Modeling studies have identified the impact of large-scale circulation anomalies and land–atmosphere interactions on changes in extreme temperatures. However, few studies have examined changes in LSMPs to more specifically understand the role of LSMPs on past and future extreme temperature changes. Even though LSMPs are resolvable by global and regional climate models, they are not necessarily well simulated. The paper concludes with unresolved issues and research questions. © 2015, The Author(s).
资助项目: NSF, U.S. Department of Energy ; NSF, U.S. Department of Energy ; NSF, U.S. Department of Energy ; USDA, U.S. Department of Energy ; DOE, U.S. Department of Energy ; DOE, U.S. Department of Energy ; DOE, U.S. Department of Energy ; DOE, U.S. Department of Energy ; DOE, U.S. Department of Energy
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/53818
Appears in Collections:过去全球变化的重建

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作者单位: Atmospheric Science Program, Department of L.A.W.R., University of California Davis, One Shields Ave., Davis, CA, United States; School of Earth and Atmospheric Sciences, Georgia Institute of Technology, 311 Ferst Drive, Atlanta, GA, United States; Pacific Northwest National Laboratory, Richland, WA, United States; Lawrence Berkeley National Laboratory, Berkeley, CA, United States; University of Massachusetts Lowell, Lowell, MA, United States; NASA GSFC Global Modeling and Assimilation Office, Greenbelt, MD, United States; Climate, Atmospheric Science and Physical Oceanography (CASPO) Division, Scripps Institution of Oceanography, University of California San Diego, La Jolla, CA, United States; Department of Geological and Atmospheric Sciences, Iowa State University, Ames, IA, United States; Department of Atmospheric and Oceanic Sciences, McGill University, Montreal, QC, Canada; Institute for Mathematics Applied to Geosciences, National Center for Atmospheric Research, Boulder, CO, United States; NASA Goddard Space Flight Center, Global Modeling and Assimilation Office, Goddard Earth Sciences Technology and Research/I.M. Systems Group, 8800 Greenbelt Rd, Greenbelt, MD, United States

Recommended Citation:
Grotjahn R.,Black R.,Leung R.,et al. North American extreme temperature events and related large scale meteorological patterns: a review of statistical methods, dynamics, modeling, and trends[J]. Climate Dynamics,2016-01-01,46(2017-03-04)
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