Premium
Convective destabilization by a tropopause fold diagnosed using potential‐vorticity inversion
Author(s) -
Griffiths Morwenna,
Thorpe Alan J.,
Browning Keith A.
Publication year - 2000
Publication title -
quarterly journal of the royal meteorological society
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.744
H-Index - 143
eISSN - 1477-870X
pISSN - 0035-9009
DOI - 10.1002/qj.49712656207
Subject(s) - tropopause , potential vorticity , troposphere , convection , geology , instability , wind shear , climatology , atmospheric sciences , geophysics , convective instability , inversion (geology) , vorticity , meteorology , vortex , mechanics , physics , wind speed , seismology , oceanography , tectonics
There is observational evidence to suggest that at the time tropopause folds in extra‐tropical cyclones are descending into the mid troposphere there is frequently a destablization of the lower troposphere to moist convection. Here we consider the dynamical reasons for such a linkage using so‐called potential vorticity (PV) attribution concepts. In particular PV inversion is used to find the wind shear attributable to the tropopause fold itself. Then this shear is used to quantify the tendency to generate regions of potential instability. For an observed case of a modest tropopause fold it is found that the PV anomaly contained in the tropopause fold contributed substantially to the instantaneous convective destabilization in the sense of increasing the potential instability. Indeed, at some locations, it overcame a tendency to stabilize by the atmosphere without the fold. On the other hand, only a fraction of the region with increased potential instability experienced sufficient large‐scale ascent to lead to convection and it remains to be seen whether folds in general make a significant contribution to the generation of potential instability that can actually be realized. The importance of tropopause folds, or indeed of tropopause depressions in general in the context of convection, is that their small horizontal scale has the potential to focus and amplify any convective destabilization locally. This may account for the localization of outbreaks of severe convective weather which it is important to forecast accurately. Currently numerical weather‐prediction models often do not handle these small scales very accurately.