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DOI10.1007/s00382-019-04958-z
North American extreme precipitation events and related large-scale meteorological patterns: a review of statistical methods; dynamics; modeling; and trends
Barlow M.; Gutowski W.J.; Jr.; Gyakum J.R.; Katz R.W.; Lim Y.-K.; Schumacher R.S.; Wehner M.F.; Agel L.; Bosilovich M.; Collow A.; Gershunov A.; Grotjahn R.; Leung R.; Milrad S.; Min S.-K.
发表日期2019
ISSN0930-7575
起始页码6835
结束页码6875
卷号53期号:11
英文摘要This paper surveys the current state of knowledge regarding large-scale meteorological patterns (LSMPs) associated with short-duration (less than 1 week) extreme precipitation events over North America. In contrast to teleconnections, which are typically defined based on the characteristic spatial variations of a meteorological field or on the remote circulation response to a known forcing, LSMPs are defined relative to the occurrence of a specific phenomenon—here, extreme precipitation—and with an emphasis on the synoptic scales that have a primary influence in individual events, have medium-range weather predictability, and are well-resolved in both weather and climate models. For the LSMP relationship with extreme precipitation, we consider the previous literature with respect to definitions and data, dynamical mechanisms, model representation, and climate change trends. There is considerable uncertainty in identifying extremes based on existing observational precipitation data and some limitations in analyzing the associated LSMPs in reanalysis data. Many different definitions of “extreme” are in use, making it difficult to directly compare different studies. Dynamically, several types of meteorological systems—extratropical cyclones, tropical cyclones, mesoscale convective systems, and mesohighs—and several mechanisms—fronts, atmospheric rivers, and orographic ascent—have been shown to be important aspects of extreme precipitation LSMPs. The extreme precipitation is often realized through mesoscale processes organized, enhanced, or triggered by the LSMP. Understanding of model representation, trends, and projections for LSMPs is at an early stage, although some promising analysis techniques have been identified and the LSMP perspective is useful for evaluating the model dynamics associated with extremes. © 2019, The Author(s).
语种英语
scopus关键词extreme event; numerical model; precipitation (climatology); precipitation assessment; spatial variation; statistical analysis; teleconnection; trend analysis; North America
来源期刊Climate Dynamics
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/145800
作者单位University of Massachusetts Lowell, Lowell, MA 02155, United States; Department of Geological and Atmospheric Sciences, Iowa State University, Ames, IA 50011, United States; Department of Atmospheric and Oceanic Sciences, McGill University, Montreal, QC, Canada; National Center for Atmospheric Research, Boulder, CO 80307, United States; NASA Goddard Space Flight Center, Global Modeling and Assimilation Office, and Goddard Earth Sciences Technology and Research/I.M. Systems Group, Greenbelt, MD 20771, United States; Colorado State University, Fort Collins, CO 80523, United States; Lawrence Berkeley National Laboratory, Berkeley, CA 94720, United States; NASA GSFC Global Modeling and Assimilation Office, Greenbelt, MD 20771, United States; Universities Space Research Association and NASA GSFC Global Modeling and Assimilation Office, Greenbelt, MD 20771, United States; Climate, Atmospheric Science and Physical Oceanography (CASPO) Division, Scripps Institution of Oceanography, University of Californi...
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Barlow M.,Gutowski W.J.,Jr.,et al. North American extreme precipitation events and related large-scale meteorological patterns: a review of statistical methods; dynamics; modeling; and trends[J],2019,53(11).
APA Barlow M..,Gutowski W.J..,Jr..,Gyakum J.R..,Katz R.W..,...&Min S.-K..(2019).North American extreme precipitation events and related large-scale meteorological patterns: a review of statistical methods; dynamics; modeling; and trends.Climate Dynamics,53(11).
MLA Barlow M.,et al."North American extreme precipitation events and related large-scale meteorological patterns: a review of statistical methods; dynamics; modeling; and trends".Climate Dynamics 53.11(2019).
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