7th International Conference on Southern Hemisphere Meteorology and Oceanography

Tuesday, 25 March 2003: 3:45 PM
A potential vorticity view of Southern Hemisphere blocking
Stewart C. R. Allen, Monash University, Clayton, VIC, Australia; and D. J. Karoly and M. J. Reeder
Poster PDF (1.4 MB)
Blocking anticyclones have been the focus of much research in the past twenty years, with the majority of studies considering only the Northern Hemisphere. Not only are the dynamics behind their persistence of great interest to researchers, but NWP models are unable to forecast block formation and decay with consistent accuracy.

Of those researchers that have considered blocking in the Southern Hemisphere, most have used diagnostics based on conventional meteorological parameters in order to examine the processes behind the formation, maintenance and decay of blocks. Following similar studies in the Northern Hemisphere, this study aims to provide a different viewpoint by examining blocking systems using isentropic potential vorticity (IPV).

Case studies of blocking anticyclones in the South Pacific region were examined in terms of IPV and used to develop diagnostics. These data were obtained from the NCEP/NCAR reanalysis data set. These new diagnostics help to reveal some of the processes behind Southern Hemisphere blocking particularly how blocking systems interact with high frequency transient weather systems. When analysed in terms of low-pass filtered IPV, the block appears as a long-lived anticyclonic IPV anomaly. Higher frequency IPV anomalies are deflected and deformed around the block, with a net flux of anticyclonic IPV into the block.

Hence, there is an interaction between blocking systems and transient weather systems, which helps to maintain blocks in the Southern Hemisphere. This idea will be examined quantitatively in order to understand influence of the low and high frequency components of the flow on the evolution of a block.

In the future, these diagnostics will be applied to NWP forecasts, so that differences between the reanalyses and forecasts can be distinguished. This will help to identify possible reasons for the diminished forecast skill that NWP models have shown when forecasting blocks.

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