DOI: 10.1007/s00382-014-2301-7
Scopus记录号: 2-s2.0-85028194511
论文题名: Effects of cumulus parameterizations on predictions of summer flood in the Central United States
作者: Qiao F. ; Liang X.-Z.
刊名: Climate Dynamics
ISSN: 9307575
出版年: 2015
卷: 45, 期: 2017-03-04 起始页码: 727
结束页码: 744
语种: 英语
英文关键词: Cumulus parameterization
; Diurnal cycle
; Extreme events
; Frequency distribution
; Regional climate model
英文摘要: This study comprehensively evaluates the effects of twelve cumulus parameterization (CUP) schemes on simulations of 1993 and 2008 Central US summer floods using the regional climate-weather research and forecasting model. The CUP schemes have distinct skills in predicting the summer mean pattern, daily rainfall frequency and precipitation diurnal cycle. Most CUP schemes largely underestimate the magnitude of Central US floods, but three schemes including the ensemble cumulus parameterization (ECP), the Grell-3 ensemble cumulus parameterization (G3) and Zhang-McFarlane-Liang cumulus parameterization (ZML) show clear advantages over others in reproducing both floods location and amount. In particular, the ECP scheme with the moisture convergence closure over land and cloud-base vertical velocity closure over oceans not only reduces the wet biases in the G3 and ZML schemes along the US coastal oceans, but also accurately reproduces the Central US daily precipitation variation and frequency distribution. The Grell (GR) scheme shows superiority in reproducing the Central US nocturnal rainfall maxima, but others generally fail. This advantage of GR scheme is primarily due to its closure assumption in which the convection is determined by the tendency of large-scale instability. Future study will attempt to incorporate the large-scale tendency assumption as a trigger function in the ECP scheme to improve its prediction of Central US rainfall diurnal cycle. © 2014, Springer-Verlag Berlin Heidelberg. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/54057
Appears in Collections: 过去全球变化的重建
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作者单位: Key Laboratory of Geographic Information Science, Ministry of Education, East China Normal University, Shanghai, China; Department of Atmospheric Sciences, University of Illinois at Urbana–Champaign, Urbana, IL, United States; Earth System Science Interdisciplinary Center, University of Maryland, 5825 University Research Court, Suite 4001, College Park, MD, United States; Department of Atmospheric and Oceanic Science, University of Maryland at College Park, College Park, MD, United States
Recommended Citation:
Qiao F.,Liang X.-Z.. Effects of cumulus parameterizations on predictions of summer flood in the Central United States[J]. Climate Dynamics,2015-01-01,45(2017-03-04)