globalchange  > 气候变化事实与影响
DOI: 10.1175/JCLI-D-13-00747.1
Scopus记录号: 2-s2.0-84919769945
论文题名:
Deep convective transition characteristics in the community climate system model and changes under global warming
作者: Sahany S.; Neelin J.D.; Hales K.; Neale R.B.
刊名: Journal of Climate
ISSN: 8948755
出版年: 2014
卷: 27, 期:24
起始页码: 9214
结束页码: 9232
语种: 英语
Scopus关键词: Atmospheric temperature ; Climate change ; Computer simulation ; Global warming ; Pickups ; Precipitation (chemical) ; Precipitation (meteorology) ; Probability density function ; Probability distributions ; Troposphere ; Water vapor ; Atmospheric model intercomparison projects ; Community climate system model ; Convective parameterization ; Convective-scale process ; Deep convection ; Extreme events ; Occurrence probability ; Tropospheric temperature ; Climate models ; climate change ; climate modeling ; convective system ; extreme event ; global warming ; parameterization ; precipitation (climatology) ; rainfall ; troposphere ; water vapor
英文摘要: Tropical deep convective transition characteristics, including precipitation pickup, occurrence probability, and distribution tails related to extreme events, are analyzed using uncoupled and coupled versions of the Community Climate System Model (CCSM) under present-day and global warming conditions. Atmospheric Model Intercomparison Project-type simulations using a 0.5° version of the uncoupled model yield good matches to satellite retrievals for convective transition properties analyzed as a function of bulk measures of water vapor and tropospheric temperature. Present-day simulations with the 1.0° coupled model show transition behavior not very different from that seen in the higher-resolution uncoupled version. Frequency of occurrence of column water vapor (CWV) for precipitating points shows reasonable agreement with the retrievals, including the longer-than-Gaussian tails of the distributions. The probability density functions of precipitating grid points collapse toward similar form when normalized by the critical CWV for convective onset in both historical and global warming cases. Under global warming conditions, the following statements can be made regarding the precipitation statistics in the simulation: (i) as the rainfall pickup shifts to higher CWV with warmer temperatures, the critical CWV for the current climate is a good predictor for the same quantity under global warming with the shift given by straightforward conditional instability considerations; (ii) to a first approximation, the probability distributions shift accordingly, except that (iii) frequency of occurrence in the longer-than-Gaussian tail increases considerably, with implications for occurrences of extreme events; and, thus, (iv) precipitation conditional averages on CWV and tropospheric temperature tend to extend to higher values. © 2014 American Meteorological Society.
资助项目: NSF, National Science Foundation
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/51448
Appears in Collections:气候变化事实与影响

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作者单位: Department of Atmospheric and Oceanic Sciences, University of California, Los Angeles, Los Angeles, CA, United States; National Center for Atmospheric Research, Boulder, CO, United States

Recommended Citation:
Sahany S.,Neelin J.D.,Hales K.,et al. Deep convective transition characteristics in the community climate system model and changes under global warming[J]. Journal of Climate,2014-01-01,27(24)
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