Multiple potential‐vorticity inversions in two FASTEX cyclones

This paper investigates pre-existing synoptic-scale disturbances responsible for cyclogenesis, using the manipulation of initial conditions through quasi-geostrophic potential vorticity (QGPV) and its inversion. The use of a QGPV inversion together with a T63 model allows us to study the sensitivity of some FASTEX events to several QGPV patterns present within the analysis. It has been found that Ertel potential-vorticity modifications of the analysis are preserved by the dynamical initialization process. The QGPV inversion method is applied to cyclones occurring in Intensive Observation Periods (IOPs) 11 and 12 of FASTEX (Fronts and Atlantic Storm-Track EXperiment) to demonstrate which potential-vorticity anomalies, present within the atmosphere prior to the development, are involved in the cyclogenesis. The choice of the boundary condition when an upper-level precursor is removed from the initial conditions has little impact on the cyclone development. The linear interactions (advection/deformation of the anomaly by its environment and downstream development) between these upper-level precursors and the surrounding flow dominate the dynamics of IOP1 1 cyclone development, whereas nonlinear processes are particularly strong in the IOP12 case. The cyclone development is only weakly sensitive to low-level initial structures unless they are shaped like adjoint model sensitivities; collocation with another shape has little influence on the development.

[1]  Philippe Courtier,et al.  An application of adjoint models to sensitivity analysis , 1992 .

[2]  Jean-Noël Thépaut,et al.  Combined use of sensitivity information and observations to improve meteorological forecasts: A feasibility study applied to the 'Christmas storm' case , 2000 .

[3]  Claude Lemaréchal,et al.  Some numerical experiments with variable-storage quasi-Newton algorithms , 1989, Math. Program..

[4]  Da‐Lin Zhang,et al.  An Application of Potential Vorticity Inversion to Improving the Numerical Prediction of the March 1993 Superstorm , 1998 .

[5]  Chris Snyder,et al.  The Fronts and Atlantic Storm-Track Experiment (FASTEX) : Scientific objectives and experimental design , 1997 .

[6]  H. Davies,et al.  Misforecasts of Synoptic Systems: Diagnosis via PV Retrodiction , 1997 .

[7]  J. Kaurola,et al.  Decomposing the Atmospheric Flow Using Potential Vorticity Framework , 1991 .

[8]  A. Joly,et al.  Potential vorticity inversion of a two‐dimensional steady flow: Application to symmetric instability , 1998 .

[9]  B. Hoskins,et al.  On the use and significance of isentropic potential vorticity maps , 2007 .

[10]  A. Joly,et al.  Identification des précurseurs d'une cyclogénèse , 1998 .

[11]  R. C. Sutcliffe,et al.  A contribution to the problem of development , 1947 .

[12]  G. Caniaux,et al.  FASTEX IOP17 cyclone: Introductory synoptic study with field data , 1999 .

[13]  J. G. Charney,et al.  The Use of the Primitive Equations of Motion in Numerical Prediction , 1955 .

[14]  L. Bosart,et al.  The Ohio Valley Wave-Merger Cyclogenesis Event of 25–26 January 1978. Part II: Diagnosis Using Quasigeostrophic Potential Vorticity Inversion , 1996 .

[15]  A. Thorpe Attribution and its application to mesoscale structure associated with tropopause folds , 1997 .

[16]  Meral Demirtas,et al.  Sensitivity of Short-Range Weather Forecasts to Local Potential Vorticity Modifications , 1999 .

[17]  Christopher A. Davis,et al.  Piecewise potential vorticity inversion , 1992 .

[18]  J. Nielsen‐Gammon,et al.  Piecewise Tendency Diagnosis of Dynamical Processes Governing the Development of an Upper-Tropospheric Mobile Trough , 1996 .

[19]  W. Robinson Analysis of LIMS Data by Potential vorticity Inversion , 1988 .

[20]  David J. Raymond,et al.  Nonlinear Balance and Potential‐Vorticity Thinking At Large Rossby Number , 1992 .

[21]  I. Orlanski,et al.  Stages in the energetics of baroclinic systems , 1995 .

[22]  R. Dole,et al.  The Dynamics of Large-Scale Cyclogenesis over the North Pacific Ocean , 1993 .

[23]  B. Hoskins,et al.  Baroclinic Instability on the Sphere: Normal Modes of the Primitive and Quasi-Geostrophic Equations , 1976 .

[24]  S. Petterssen a General Survey of Factors Influencing Development at Sea Level. , 1955 .

[25]  Chris Snyder,et al.  Overview of the field phase of the fronts and Atlantic Storm‐Track EXperiment (FASTEX) project , 1999 .

[26]  Brian J. Hoskins,et al.  The Downstream and Upstream Development of Unstable Baroclinic Waves , 1979 .

[27]  K. Emanuel,et al.  Potential Vorticity Diagnostics of Cyclogenesis , 1991 .

[28]  Chris Snyder,et al.  An Analysis of Frontogenesis in Numerical Simulations of Baroclinic Waves , 1994 .

[29]  A. Hollingsworth,et al.  The response of numerical weather prediction systems to fgge level iib data. Part I: Analyses , 1985 .