The influence of stratospheric vortex displacements and splits on surface climate

• Published in: Journal of Climate
• Main Authors: Mitchell, Daniel M., Gray, Lesley J., Anstey, James, Baldwin, Mark P., Charlton-Perez, Andrew
• Format: Article in Journal/Newspaper
• Language: English
• Published: American Meteorological Society 2013
• Subjects: Arctic; Pacific
• Online Access: https://centaur.reading.ac.uk/34207/; https://centaur.reading.ac.uk/34207/1/mitchell.pdf; https://doi.org/10.1175/JCLI-D-12-00030.1

A strong link exists between stratospheric variability and anomalous weather patterns at the earth’s surface. Specifically, during extreme variability of the Arctic polar vortex termed a “weak vortex event,” anomalies can descend from the upper stratosphere to the surface on time scales of weeks. Subsequently the outbreak of cold-air events have been noted in high northern latitudes, as well as a quadrupole pattern in surface temperature over the Atlantic and western European sectors, but it is currently not understood why certain events descend to the surface while others do not. This study compares a new classification technique of weak vortex events, based on the distribution of potential vorticity, with that of an existing technique and demonstrates that the subdivision of such events into vortex displacements and vortex splits has important implications for tropospheric weather patterns on weekly to monthly time scales. Using reanalysis data it is found that vortex splitting events are correlated with surface weather and lead to positive temperature anomalies over eastern North America of more than 1.5 K, and negative anomalies over Eurasia of up to −3 K. Associated with this is an increase in high-latitude blocking in both the Atlantic and Pacific sectors and a decrease in European blocking. The corresponding signals are weaker during displacement events, although ultimately they are shown to be related to cold-air outbreaks over North America. Because of the importance of stratosphere–troposphere coupling for seasonal climate predictability, identifying the type of stratospheric variability in order to capture the correct surface response will be necessary.