DOI: 10.1002/2016GL069818
论文题名: Stochastic convective parameterization improving the simulation of tropical precipitation variability in the NCAR CAM5
作者: Wang Y. ; Zhang G.J. ; Craig G.C.
刊名: Geophysical Research Letters
ISSN: 0094-9560
EISSN: 1944-9291
出版年: 2016
卷: 43, 期: 12 起始页码: 6612
结束页码: 6619
语种: 英语
英文关键词: CAM5
; convection
; stochastic parameterization
; tropical precipitation
Scopus关键词: Distribution functions
; Heat convection
; Parameterization
; Precipitation (meteorology)
; Probability density function
; Probability distributions
; Rain
; Stochastic models
; Tropics
; CAM5
; Convective parameterization
; Convective parameterization schemes
; Intraseasonal variability
; National center for atmospheric researches
; Precipitation intensity
; Tropical precipitation
; Tropical rainfall measuring missions
; Stochastic systems
英文摘要: The Plant-Craig (PC) stochastic convective parameterization scheme is implemented into the National Center for Atmospheric Research Community Atmosphere Model version 5 (CAM5) to couple with the Zhang-McFarlane deterministic convection scheme. To evaluate its impact on tropical precipitation simulation, two experiments are conducted: one with the standard CAM5 and the other with the stochastic scheme incorporated. Results show that the PC stochastic parameterization decreases the frequency of weak precipitation and increases the frequency of strong precipitation, resulting in better agreement with observations. The most striking improvement is in the probability distribution function (PDF) of precipitation intensity, with the well-known too-much-drizzle problem in CAM5 largely eliminated. In the global tropical belt, the precipitation intensity PDF from the simulation agrees remarkably well with that of Tropical Rainfall Measuring Mission observations. The stochastic scheme also yields a similar magnitude of intraseasonal variability of precipitation to observations and improves the simulation of the eastward propagating intraseasonal signals of precipitation and zonal wind. ©2016. American Geophysical Union. All Rights Reserved. URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84977151336&doi=10.1002%2f2016GL069818&partnerID=40&md5=a67a9a966e3cca1314d5bda1e44546a7
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/10523
Appears in Collections: 科学计划与规划 气候变化与战略
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作者单位: Center for Earth System Science, Tsinghua University, Beijing, China
Recommended Citation:
Wang Y.,Zhang G.J.,Craig G.C.. Stochastic convective parameterization improving the simulation of tropical precipitation variability in the NCAR CAM5[J]. Geophysical Research Letters,2016-01-01,43(12).