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  • Bishop, C. H. & Thorpe, A. J. (1994). Frontal wave stability during moist deformation frontogenesis. Part 2: the suppression of non-linear development. J. Atmos. Sci., 51: 874888.
  • Bjerknes, J. & Solberg, H. (1922). Life cycles of cyclones and the polar front theory of atmospheric circulation. Geofys. Publ., 3: 118.
  • Browning, K. A. (1990). Organization of clouds and precipitation in extratropical cyclones. In Extratropical cyclones: The Erik Palmén Memorial Volume, ed. C. Newton & E. O. Holopainen, American Meteorological Society, Boston, MA. 129153
  • Browning, K. A. & Monk, G. A. (1982). A simple model for the synoptic analysis of cold fronts. Q. J. R. Meteorol. Soc., 108: 435452.
  • Browning K. A. & Roberts, N. M. (1994). Structure of a frontal cyclone. Q. J. R. Meteorol. Soc., 120: 15351557.
  • Cahir, J. J. & Lottes, W. D. (1982). An objective diagnostic aid in locating meteorologically significant boundaries. In Preprints of 9th Conference on Weather Forecasting and Analysis, Seattle, Washington, June 28–July 1, 1982. American Meteorological Society, Boston, MA, 296299.
  • Carlson, P. E., Galloway, J. L. & Haering P. C. (1966). A note on the objective location of frontal zones. Meteorol. Mag., 95: 218219.
  • Clarke, L. C. & Renard, R. J. (1966). The U.S. Navy numerical frontal analysis scheme: further development and a limited evaluation. J. Appl. Meteorol., 5: 764777.
  • Clough, S. A., Davitt, C. S. A. & Thorpe, A. J. (1996). Attribution concepts applied to the omega equation. Q. J. R. Meteorol. Soc., 122: 19431962.
  • Heimann, D. (1990). 3-dimensional modelling of synthetic cold fronts approaching the Alps. Meteorol. Atmos. Phys., 47: 197219.
  • Heimann, D. (1992a). 3-dimensional modelling of synthetic cold fronts interacting with northern alpine foehn. Meteorol. Atmos. Phys., 48: 139163.
  • Heimann, D. (1992b). Potential and equivalent-potential temperature patterns at cold fronts with prefrontal Foehn. Meteorol. Atmos. Phys., 48: 165171.
  • Hoinka, K. P. & Volkert, H. (1992). Fronts and the Alps –findings from the front experiment 1987. Meteorol. Atmos. Phys., 48: 5175.
  • Holton, J. R. (1992). An Introduction to Dynamic Meteorology. Academic Press, London, 391 pp.
  • Huber-Pock, F. & Kress, Ch. (1981). Contributions to the problem of numerical frontal analysis. Proceedings of the Symposium on Current Problems of Weather-Prediction. Vienna, June 23–26, 1981. Publications of the Zentralanstalt für Meteorologie und Geodynamik, 253.
  • Huber-Pock, F. & Kress, Ch. (1989). An operational model of objective frontal analysis based on ECMWF products, Meteorol. Atmos. Phys., 40: 170180.
  • Japan Meteorological Agency (1988). On the improvement of the significant weather chart. Weather Serv. Bull., 55: 116.
  • Joly, A., Jorgensen, D., Shapiro, M.A., Thorpe A.J., Bessemoulin, P., Browning, K. A., Cammas, J.P., Chalon, J. P., Clough, S. A., Emanuel, K.A., Eymard, L., Gall, R., Hildebrand, P. H., Langland, R.H., Lemaître, Y., Lynch, P., Moore, J.A., Persson, P. O. G, Snyder, C. & Wakimoto, R. M. (1997). The Fronts and Atlantic Storm-Track Experiment (FASTEX): Scientific objectives and experimental design. Bull. Am. Meteorol. Soc. (Accepted for publication).
  • Keyser, D., Reeder, M. J. & Reed, R. J. (1988). A generalisation of Pettersen's frontogenesis function and its relation to the forcing of vertical motion. Mon. Wea. Rev., 116: 762780.
  • Kirk, T. H. (1965). A parameter for the objective location of frontal zones. Meteorol. Mag., 94: 351353.
  • Mass, C. (1991). Surface synoptic analysis: time for a reassessment? Bull. Am. Meteorol. Soc., 72: 348363.
  • Meteorological Office (1991). Meteorological Glossary. London, HMSO, 335 pp.
  • Monk, G.A. (1992). Synoptic and mesoscale analysis of intense mid-latitude cyclones. Meteorol. Mag., 121: 269283.
  • Renard, R. J. & Clarke, L. C. (1965). Experiments in numerical objective frontal analysis. Mon. Wea. Rev., 93: 547556.
  • Sabo, P. (1992). Application of the thermal front parameter to baroclinic zones around cutoff lows. Meteorol. Atmos. Phys., 47: 107115.
  • Sanders, F. & Doswell, C. A., III (1995). A case for detailed surface analysis. Bull. Am. Meteorol. Soc., 76: 505521.
  • Saucier, W.J. (1955). Principles of Meteorological Analysis. University of Chicago Press.
  • Shapiro, M. A. & Keyser, D. (1990). Fronts, jet streams and the tropopause; in Extratropical Cyclones: The Erik Palmén Memorial Volume, ed. C. Newton & E. O. Holopainen, American Meteorological Society, Boston, MA, 167191
  • Steinacker, R. A. (1992). Dynamic aspects of frontal analysis, Meteorol. Atmos. Phys., 48: 93103.
  • Thorpe, A. J. (1994). Dynamics of mesoscale sub-structure at fronts. In The Life Cycles of Extratropical Cyclones, Proceedings of an International Symposium, Bergen, Norway, 27 June–1 July 1994, vol. I, 220–228. Alma Mater Forlag AS, Bergen.
  • Thorpe A. J. & Clough, S. A. (1991). Mesoscale dynamics of cold fronts – Part 1: Structures described by drop-soundings in Fronts 87. Q. J. R. Meteorol. Soc., 117: 903941.
  • Young, G. S. & Fritsch, J. M. (1989). A proposal for general conventions in analyses of mesoscale boundaries. Bull. Am. Meteorol. Soc., 70: 14121421.
  • Zwatz-Meise, V. & Bendl, K. (1992). PVA-maxima and their connection to cloud systems in satellite images and to precipitation. Meteorol. Atmos. Phys., 47: 145164.
  • Zwatz-Meise, V. & Hufnagl, F. (1990). Some results about the relation between an objective front parameter and cloud bands in satellite images and its connection to classical cold front models. Meteorol. Atmos. Phys., 42: 7789.
  • Zwatz-Meise, V. & Mahringer, G. (1988). Use of satellite imagery, combined with numerical model diagnostics, to locate fronts and predict their activity: methods and examples. In Satellite and Radar Imagery Interpretation, Preprints for a Workshop in Reading, England, 20–24 July 1987., ed. M. Bader and T. Waters, Eumetsat, 143162.
  • Zwatz-Meise, V. & Mahringer, G. (1990). SATMOD: an interactive system combining satellite images and model output parameters. Weather and Forecasting, 5: 233246.