Weather chains during the 2013/2014 winter and their significance for seasonal prediction


METADATA ONLY
Loading...

Author / Creator

Date

2015-11

Publication Type

Journal Article

ETH Bibliography

yes

Citations

Altmetric
METADATA ONLY

Data

Rights / License

Abstract

Day-to-day weather forecasting has improved substantially over the past few decades. In contrast, progress in seasonal prediction outside the tropics has been meagre and mixed. On seasonal timescales, the constraining influence of the initial atmospheric state is weak, and the internal variability associated with transient weather systems tends to be large compared with the nuanced influence of anomalies in external forcing. Current research and operational activities focus on exploring and exploiting potential links between external anomalies and seasonal-mean climate patterns. Here I examine reanalysed meteorological data sets for the unusual winter 2013/2014, with drought and freezing conditions juxtaposed over North America and severe wet and stormy weather over parts of Europe, to study the role of weather systems and their transient upper-tropospheric flow patterns. I find that the amplitude, recurrence and location of these transient patterns account directly for the corresponding anomalous seasonal-mean patterns. They occurred episodically and sequentially, were linked dynamically, and exhibited some circumpolar connectivity. I conclude that the upper-tropospheric components of transient weather systems are significant for understanding and predicting seasonal weather patterns, whereas the role of external factors is more subtle.

Publication status

published

Editor

Book title

Journal / series

Nature Geoscience

Volume

8 (11)

Pages / Article No.

833 - 837

Publisher

Nature

Event

Edition / version

Methods

Geographic location

Date collected

Date created

Subject

Organisational unit

03854 - Wernli, Johann Heinrich / Wernli, Johann Heinrich check_circle

Notes

Published online 19 October 2015.

Funding Info about funding

Related publications and datasets