DOI: 10.1175/JCLI-D-17-0660.1
Scopus记录号: 2-s2.0-85052931157
论文题名: Understanding and improving the scale dependence of trigger functions for convective parameterization using cloud-resolving model data
作者: Song F. ; Zhang G.J.
刊名: Journal of Climate
ISSN: 8948755
出版年: 2018
卷: 31, 期: 18 起始页码: 7385
结束页码: 7399
语种: 英语
英文关键词: Convective parameterization
; Convective-scale processes
; Deep convection
Scopus关键词: Parameterization
; Box and Whisker plots
; Cloud resolving model
; Convective parameterization
; Convective parameterization schemes
; Convective-scale process
; Deep convection
; Global climate model
; Higher resolution
; Climate models
英文摘要: As the resolution of global climate model increases, whether trigger functions in current convective parameterization schemes still work remains unknown. In this study, the scale dependence of undilute and dilute dCAPE, Bechtold, and heated condensation framework (HCF) triggers is evaluated using the cloud-resolving model (CRM) data. It is found that all these trigger functions are scale dependent, especially for dCAPE-type triggers, with skill scores dropping from ~0.6 at the lower resolutions (128, 64, and 32 km) to only ~0.1 at 4 km. The average convection frequency decreases from 14.1% at 128 km to 2.3% at 4 km in the CRM data, but it increases rapidly in the dCAPE-type triggers and is almost unchanged in the Bechtold and HCF triggers across resolutions, all leading to large overpredictions at higher resolutions. In the dCAPE-type triggers, the increased frequency is due to the increased rate of dCAPE greater than the threshold (65 J kg-1 h-1) at higher resolutions. The box-and-whisker plots show that the main body of dCAPE in the correct prediction and overprediction can be separated from each other in most resolutions. Moreover, the underprediction is found to be corresponding to the decaying phase of convection. Hence, two modifications are proposed to improve the scale dependence of the undilute dCAPE trigger: 1) increasing the dCAPE threshold and 2) considering convection history, which checks whether there is convection prior to the current time. With these modifications, the skill at 16 km, 8 km, and 4 km can be increased from 0.50, 0.27, and 0.15 to 0.70, 0.61, and 0.53, respectively. © 2018 American Meteorological Society. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/110697
Appears in Collections: 影响、适应和脆弱性 气候变化事实与影响
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作者单位: Scripps Institution of Oceanography, University of California, San Diego, La Jolla, CA, United States; Atmospheric Sciences and Global Change Division, Pacific Northwest National Laboratory, Richland, WA, United States
Recommended Citation:
Song F.,Zhang G.J.. Understanding and improving the scale dependence of trigger functions for convective parameterization using cloud-resolving model data[J]. Journal of Climate,2018-01-01,31(18)