%0 Journal Article %1 dunstone2018predictability %A Dunstone, Nick %A Scaife, Adam A. %A MacLachlan, Craig %A Knight, Jeff %A Ineson, Sarah %A Smith, Doug %A Thornton, Hazel %A Gordon, Margaret %A McLean, Peter %A Palin, Erika %A Hardiman, Steven %A Walker, Brent %D 2018 %I Wiley %J Atmospheric Science Letters %K casestudy circulation colleagues dynamics m2dcasestudy nao %N 12 %P e868 %R 10.1002/asl.868 %T Predictability of European winter 2016/2017 %U https://doi.org/10.1002%2Fasl.868 %V 19 %X Winter 2016/2017 was one of the driest on record for central Europe and the United Kingdom. This was the result of blocked atmospheric circulation with high pressure centred over North‐West Europe dominating the winter mean circulation pattern. Using large ensembles of simulated winters, we find that the observed winter 2016/2017 circulation was very similar in pattern and strength to the circulation associated with the top 10% of driest Central European winters. Here, we explore whether seasonal forecasts were able to predict this circulation pattern. Despite the fact that the observed circulation anomaly did not project on to the North Atlantic Oscillation (NAO), we find that forecasts starting in November did predict a high‐pressure anomaly over North‐Western Europe. We use two independent data sets, and methods, to probe the drivers of this circulation pattern. We find evidence for a Rossby Wave propagating out of the tropical Atlantic where there were anomalous local rainfall anomalies. This case study is another example of real‐time seasonal forecast skill for Europe and provides evidence for predictability beyond the NAO pattern.

@article{dunstone2018predictability, abstract = {Winter 2016/2017 was one of the driest on record for central Europe and the United Kingdom. This was the result of blocked atmospheric circulation with high pressure centred over North‐West Europe dominating the winter mean circulation pattern. Using large ensembles of simulated winters, we find that the observed winter 2016/2017 circulation was very similar in pattern and strength to the circulation associated with the top 10% of driest Central European winters. Here, we explore whether seasonal forecasts were able to predict this circulation pattern. Despite the fact that the observed circulation anomaly did not project on to the North Atlantic Oscillation (NAO), we find that forecasts starting in November did predict a high‐pressure anomaly over North‐Western Europe. We use two independent data sets, and methods, to probe the drivers of this circulation pattern. We find evidence for a Rossby Wave propagating out of the tropical Atlantic where there were anomalous local rainfall anomalies. This case study is another example of real‐time seasonal forecast skill for Europe and provides evidence for predictability beyond the NAO pattern.}, added-at = {2018-11-07T22:48:51.000+0100}, author = {Dunstone, Nick and Scaife, Adam A. and MacLachlan, Craig and Knight, Jeff and Ineson, Sarah and Smith, Doug and Thornton, Hazel and Gordon, Margaret and McLean, Peter and Palin, Erika and Hardiman, Steven and Walker, Brent}, biburl = {https://www.bibsonomy.org/bibtex/2dd329be7ecb7d9edc6a226ff5f414459/pbett}, doi = {10.1002/asl.868}, interhash = {f446b261fe4a041d8d45369916993eac}, intrahash = {dd329be7ecb7d9edc6a226ff5f414459}, journal = {Atmospheric Science Letters}, keywords = {casestudy circulation colleagues dynamics m2dcasestudy nao}, month = dec, number = 12, pages = {e868}, publisher = {Wiley}, timestamp = {2019-01-23T17:53:31.000+0100}, title = {Predictability of European winter 2016/2017}, url = {https://doi.org/10.1002%2Fasl.868}, volume = 19, year = 2018 }