DOI: 10.1002/jgrd.50294
论文题名: PV-based diagnostic quantities of heavy precipitation: Solenoidal vorticity and potential solenoidal vorticity
作者: Ran L. ; Li N. ; Gao S.
刊名: Journal of Geophysical Research Atmospheres
ISSN: 21698996
出版年: 2013
卷: 118, 期: 11 起始页码: 5710
结束页码: 5723
语种: 英语
英文关键词: diagnostic quantities
; heavy precipitation
; potential solenoidal vorticity
; solenoidal vorticity
Scopus关键词: Rain
; Solenoids
; Time series analysis
; Correlation coefficient
; diagnostic quantities
; Different distributions
; Heavy precipitation
; Isentropic surfaces
; Potential vorticity
; Precipitation predictions
; Vertical wind shear
; Vorticity
; baroclinic motion
; parameterization
; precipitation (climatology)
; rainfall
; time series
; vorticity
; weather forecasting
; wind field
; wind shear
英文摘要: Two new diagnostic quantities called solenoidal vorticity (SV) and potential solenoidal vorticity (PSV) are defined in this paper for a moist atmosphere based on the generalized moist potential vorticity (GMPV). SV and PSV are introduced to incorporate vorticity information along the isentropic surfaces that GMPV (or PV) has lost. SV is the scalar product of vorticity and the moist solenoidal term ∇ p × ∇ α*, while PSV is the scalar product of vorticity and (∇ p × ∇ α*) × ∇ θ* (a new vector). Application of GMPV, SV, and PSV to a diagnostic study of a heavy rainfall case shows that SV reflects the coupling of vertical wind shear and the baroclinity of the moist atmosphere weighted by the vertical gradient of pressure, while PSV reflects the coupling of vertical wind shear and baroclinity, the static stability, and the vertical gradient of pressure. Although all three quantities exhibit strong signals over the observed precipitation region, SV and PSV are more capable of distinguishing between precipitation and non-precipitation areas. The following three main factors are concluded to contribute to the very different distribution patterns of GMPV, SV, and PSV: static stability,the vertical gradient of pressure, and different ways of coupling vertical wind shear and baroclinity. These factors are responsible for the good performance of SV and PSV in tracing and predicting heavy rainfall, as demonstrated by the correlation coefficient between SV (PSV) and the rainfall amount obtained from long time series analyses. The results of this study suggest that SV and PSV are good detectors of heavy rainfall and may be used as precipitation prediction parameters. © 2013. American Geophysical Union. All Rights Reserved. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/63706
Appears in Collections: 影响、适应和脆弱性 气候减缓与适应
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作者单位: Key Laboratory of Cloud-Precipitation Physics and Severe Storms, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China; University of Chinese Academy of Sciences, Beijing, China
Recommended Citation:
Ran L.,Li N.,Gao S.. PV-based diagnostic quantities of heavy precipitation: Solenoidal vorticity and potential solenoidal vorticity[J]. Journal of Geophysical Research Atmospheres,2013-01-01,118(11)