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A global climatology of surface anticyclones, their variability, associated drivers and long-term trends

Abstract

A global climatology of anticyclones identified at mean sea level pressure is presented based on multiple reanalyses over the period 1960–2016, including assessment of regional and seasonal variations, interannual variability, and long-term trends. Interannual variability is associated with the El Niño-Southern Oscillation (ENSO), particularly in the Pacific region during November–April. Anticyclones vary in phase with the strength and intensity of the local mean subtropical ridge, with anticyclone variability also associated with the Southern Annular Mode (SAM) in the Southern Hemisphere and the Arctic Oscillation (AO) in parts of the Northern Hemisphere, particularly during the cooler months of the year. Long-term climatological trends in anticyclone occurrence are presented, including back to 1960 using 20CR reanalysis data. The strongest trends occur in the Southern Hemisphere, including increases in anticyclone frequency in the latitudes 30–40 S and decreases for adjacent latitudes in both seasons, which can be partially attributed to changes in SAM during November–April.

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Notes

  1. http://www.cpc.ncep.noaa.gov/products/wesley/paobs/paobs_1.html.

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Acknowledgements

This project is jointly funded by the Victorian Department of Environment, Land, Water and Planning and the Earth Systems and Climate Change Hub of the Australian Government’s National Environmental Science Programme, and was assisted by resources from the Australian National Computational Infrastructure (NCI). The authors thank Linden Ashcroft, Kevin Keay, and two anonymous reviewers for their comments on earlier versions of the paper, and Hanh Nguyen for providing the Hadley Cell datasets. All datasets used are freely available from their respective agencies, and anticyclone data is available for research use by contacting the authors.

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Correspondence to Acacia Pepler.

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Pepler, A., Dowdy, A. & Hope, P. A global climatology of surface anticyclones, their variability, associated drivers and long-term trends. Clim Dyn 52, 5397–5412 (2019). https://doi.org/10.1007/s00382-018-4451-5

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  • DOI: https://doi.org/10.1007/s00382-018-4451-5

Keywords

  • High pressure
  • Anticyclone
  • Blocking
  • Reanalysis
  • Climate variability
  • Trends