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Examining the predictability of the Stratospheric Sudden Warming of January 2013 using multiple NWP systems

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posted on 2025-07-31, 15:31 authored by OP Tripathi, M Baldwin, A Charlton-Perez, M Charron, JCH Cheung, SD Eckermann, E Gerber, DR Jackson, Y Kuroda, A Lang, J Mclay, R Mizuta, C Reynolds, G Roff, M Sigmond, S-W Son, T Stockdale
The first multimodel study to estimate the predictability of a boreal sudden stratospheric warming (SSW) is performed using five NWP systems. During the 2012/13 boreal winter, anomalous upward propagating planetary wave activity was observed toward the end of December, which was followed by a rapid deceleration of the westerly circulation around 2 January 2013, and on 7 January 2013 the zonal-mean zonal wind at 60°N and 10 hPa reversed to easterly. This stratospheric dynamical activity was followed by an equatorward shift of the tropospheric jet stream and by a high pressure anomaly over the North Atlantic, which resulted in severe cold conditions in the United Kingdom and northern Europe. In most of the five models, the SSW event was predicted 10 days in advance. However, only some ensemble members in most of the models predicted weakening of westerly wind when the models were initialized 15 days in advance of the SSW. Further dynamical analysis of the SSW shows that this event was characterized by the anomalous planetary wavenumber-1 amplification followed by the anomalous wavenumber-2 amplification in the stratosphere, which resulted in a split vortex occurring between 6 and 8 January 2013. The models have some success in reproducing wavenumber-1 activity when initialized 15 days in advance, but they generally failed to produce the wavenumber-2 activity during the final days of the event. Detailed analysis shows that models have reasonably good skill in forecasting tropospheric blocking features that stimulate wavenumber-2 amplification in the troposphere, but they have limited skill in reproducing wavenumber-2 amplification in the stratosphere.

Funding

The Stratospheric Network for the Assessment of Predictability (SNAP) is supported by the Natural Environment Research Council (NERC) (Grant H5147600) and partially supported by the SPARC.

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This is the final version of the article. Available from the American Meteorological Society via the DOI in this record.

Journal

Monthly Weather Review

Publisher

American Meteorological Society

Language

en

Citation

Monthly Weather Review, 2016, Volume 144, pp.1935-1960

Department

  • Mathematics and Statistics

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