Cargando…
Predictability of European winter 2016/2017
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 tha...
Autores principales: | , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley & Sons, Ltd
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6555434/ https://www.ncbi.nlm.nih.gov/pubmed/31191171 http://dx.doi.org/10.1002/asl.868 |
_version_ | 1783425152086704128 |
---|---|
author | Dunstone, Nick Scaife, Adam A. MacLachlan, Craig Knight, Jeff Ineson, Sarah Smith, Doug Thornton, Hazel Gordon, Margaret McLean, Peter Palin, Erika Hardiman, Steven Walker, Brent |
author_facet | Dunstone, Nick Scaife, Adam A. MacLachlan, Craig Knight, Jeff Ineson, Sarah Smith, Doug Thornton, Hazel Gordon, Margaret McLean, Peter Palin, Erika Hardiman, Steven Walker, Brent |
author_sort | Dunstone, Nick |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-6555434 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | John Wiley & Sons, Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-65554342019-06-10 Predictability of European winter 2016/2017 Dunstone, Nick Scaife, Adam A. MacLachlan, Craig Knight, Jeff Ineson, Sarah Smith, Doug Thornton, Hazel Gordon, Margaret McLean, Peter Palin, Erika Hardiman, Steven Walker, Brent Atmos Sci Lett Research Articles 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. John Wiley & Sons, Ltd 2018-11-04 2018-12 /pmc/articles/PMC6555434/ /pubmed/31191171 http://dx.doi.org/10.1002/asl.868 Text en © 2018 The Authors. Atmospheric Science Letters published by John Wiley & Sons Ltd on behalf of the Royal Meteorological Society. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Articles Dunstone, Nick Scaife, Adam A. MacLachlan, Craig Knight, Jeff Ineson, Sarah Smith, Doug Thornton, Hazel Gordon, Margaret McLean, Peter Palin, Erika Hardiman, Steven Walker, Brent Predictability of European winter 2016/2017 |
title | Predictability of European winter 2016/2017 |
title_full | Predictability of European winter 2016/2017 |
title_fullStr | Predictability of European winter 2016/2017 |
title_full_unstemmed | Predictability of European winter 2016/2017 |
title_short | Predictability of European winter 2016/2017 |
title_sort | predictability of european winter 2016/2017 |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6555434/ https://www.ncbi.nlm.nih.gov/pubmed/31191171 http://dx.doi.org/10.1002/asl.868 |
work_keys_str_mv | AT dunstonenick predictabilityofeuropeanwinter20162017 AT scaifeadama predictabilityofeuropeanwinter20162017 AT maclachlancraig predictabilityofeuropeanwinter20162017 AT knightjeff predictabilityofeuropeanwinter20162017 AT inesonsarah predictabilityofeuropeanwinter20162017 AT smithdoug predictabilityofeuropeanwinter20162017 AT thorntonhazel predictabilityofeuropeanwinter20162017 AT gordonmargaret predictabilityofeuropeanwinter20162017 AT mcleanpeter predictabilityofeuropeanwinter20162017 AT palinerika predictabilityofeuropeanwinter20162017 AT hardimansteven predictabilityofeuropeanwinter20162017 AT walkerbrent predictabilityofeuropeanwinter20162017 |