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DOI10.1175/BAMS-D-19-0113.1
The ongoing need for high-resolution regional climate models: Process understanding and stakeholder information
Gutowski W.J.; Ullrich P.A.; Hall A.; Leung L.R.; O'Brien T.A.; Patricola C.M.; Arritt R.W.; Bukovsky M.S.; Calvin K.V.; Feng Z.; Jones A.D.; Kooperman G.J.; Monier E.; Pritchard M.S.; Pryor S.C.; Qian Y.; Rhoades A.M.; Roberts A.F.; Sakaguchi K.; Urban N.; Zarzycki C.
发表日期2021
ISSN00030007
起始页码E664
结束页码E683
卷号101期号:5
英文摘要Regional climate modeling addresses our need to understand and simulate climatic processes and phenomena unresolved in global models. This paper highlights examples of current approaches to and innovative uses of regional climate modeling that deepen understanding of the climate system. High-resolution models are generally more skillful in simulating extremes, such as heavy precipitation, strong winds, and severe storms. In addition, research has shown that finescale features such as mountains, coastlines, lakes, irrigation, land use, and urban heat islands can substantially influence a region's climate and its response to changing forcings. Regional climate simulations explicitly simulating convection are now being performed, providing an opportunity to illuminate new physical behavior that previously was represented by parameterizations with large uncertainties. Regional and global models are both advancing toward higher resolution, as computational capacity increases. However, the resolution and ensemble size necessary to produce a sufficient statistical sample of these processes in global models has proven too costly for contemporary supercomputing systems. Regional climate models are thus indispensable tools that complement global models for understanding physical processes governing regional climate variability and change. The deeper understanding of regional climate processes also benefits stakeholders and policymakers who need physically robust, high-resolution climate information to guide societal responses to changing climate. Key scientific questions that will continue to require regional climate models, and opportunities are emerging for addressing those questions. © 2020 American Meteorological Society
语种英语
scopus关键词Climate change; Land use; Storms; Computational capacity; High-resolution models; Indispensable tools; Process understanding; Regional climate modeling; Regional climate models; Regional climate simulation; Supercomputing systems; Climate models
来源期刊Bulletin of the American Meteorological Society
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/177782
作者单位Iowa State University, Ames, IA, United States; University of Cape Town, Cape Town, South Africa; University of California, Davis, Davis, CA, United States; University of California, Los Angeles, Los Angeles, CA, United States; Pacific Northwest National Laboratory, Richland, WA, United States; Lawrence Berkeley National Laboratory, Berkeley, CA, United States; Iowa State University, Ames, IA, United States; National Center for Atmospheric Research, Boulder, CO, United States; Lawrence Berkeley National Laboratory, Berkeley, CA, United States; University of Georgia, Athens, GA, United States; University of California, Irvine, Irvine, CA, United States; Cornell University, Ithaca, NY, United States; Los Alamos National Laboratory, Los Alamos, NM, United States; Pennsylvania State University, University Park, PA, United States; Indiana University Bloomington, Bloomington, IN, United States; Iowa State University, Ames, IA, United States
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Gutowski W.J.,Ullrich P.A.,Hall A.,et al. The ongoing need for high-resolution regional climate models: Process understanding and stakeholder information[J],2021,101(5).
APA Gutowski W.J..,Ullrich P.A..,Hall A..,Leung L.R..,O'Brien T.A..,...&Zarzycki C..(2021).The ongoing need for high-resolution regional climate models: Process understanding and stakeholder information.Bulletin of the American Meteorological Society,101(5).
MLA Gutowski W.J.,et al."The ongoing need for high-resolution regional climate models: Process understanding and stakeholder information".Bulletin of the American Meteorological Society 101.5(2021).
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