Ensemble sensitivity analysis of Greenland blocking in medium‐range forecasts

The North Atlantic Oscillation (NAO) is the leading mode of variability in the large‐scale circulation over the North Atlantic in winter, and strongly influences the weather and climate of Europe. On synoptic time‐scales, the negative phase of the NAO often corresponds to the occurrence of a blockin...

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Published in:Quarterly Journal of the Royal Meteorological Society
Main Authors: Parker, Tess, Woollings, Tim, Weisheimer, Antje
Other Authors: Natural Environment Research Council
Format: Article in Journal/Newspaper
Language:English
Published: Wiley 2018
Subjects:
Online Access:http://dx.doi.org/10.1002/qj.3391
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spelling crwiley:10.1002/qj.3391 2024-06-23T07:53:13+00:00 Ensemble sensitivity analysis of Greenland blocking in medium‐range forecasts Parker, Tess Woollings, Tim Weisheimer, Antje Natural Environment Research Council 2018 http://dx.doi.org/10.1002/qj.3391 https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Fqj.3391 https://onlinelibrary.wiley.com/doi/pdf/10.1002/qj.3391 https://onlinelibrary.wiley.com/doi/full-xml/10.1002/qj.3391 https://rmets.onlinelibrary.wiley.com/doi/pdf/10.1002/qj.3391 en eng Wiley http://creativecommons.org/licenses/by/4.0/ Quarterly Journal of the Royal Meteorological Society volume 144, issue 716, page 2358-2379 ISSN 0035-9009 1477-870X journal-article 2018 crwiley https://doi.org/10.1002/qj.3391 2024-06-13T04:25:05Z The North Atlantic Oscillation (NAO) is the leading mode of variability in the large‐scale circulation over the North Atlantic in winter, and strongly influences the weather and climate of Europe. On synoptic time‐scales, the negative phase of the NAO often corresponds to the occurrence of a blocking episode over Greenland. Hence, the dynamics and predictability of these blocking events is of interest for the prediction of the NAO and its related impacts over a wide region. Ensemble sensitivity analysis utilises the information contained in probabilistic forecast ensembles to calculate a statistical relationship between a forecast metric and some precursor condition. Here the method is applied to 15‐day forecasts of a set of 26 Greenland blocking events using the state‐of‐the‐art European Centre for Medium‐Range Weather Forecasts (ECMWF) forecasting system. The ensemble sensitivity analysis shows that Greenland blocking does not develop in isolation in these forecasts, but instead the blocking is sensitive to remote precursors, such as 500 and 50 hPa geopotential height, particularly in the low‐frequency flow. In general, there are more significant sensitivities to anomalies in the Tropics than in the polar regions. Stratospheric sensitivities tend to emerge at later lead times than tropospheric sensitivities. The strongest and most robust sensitivities correspond to a Rossby wave precursor reaching from the Pacific basin across North America. Article in Journal/Newspaper Greenland North Atlantic North Atlantic oscillation Wiley Online Library Greenland Pacific Quarterly Journal of the Royal Meteorological Society 144 716 2358 2379
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collection Wiley Online Library
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language English
description The North Atlantic Oscillation (NAO) is the leading mode of variability in the large‐scale circulation over the North Atlantic in winter, and strongly influences the weather and climate of Europe. On synoptic time‐scales, the negative phase of the NAO often corresponds to the occurrence of a blocking episode over Greenland. Hence, the dynamics and predictability of these blocking events is of interest for the prediction of the NAO and its related impacts over a wide region. Ensemble sensitivity analysis utilises the information contained in probabilistic forecast ensembles to calculate a statistical relationship between a forecast metric and some precursor condition. Here the method is applied to 15‐day forecasts of a set of 26 Greenland blocking events using the state‐of‐the‐art European Centre for Medium‐Range Weather Forecasts (ECMWF) forecasting system. The ensemble sensitivity analysis shows that Greenland blocking does not develop in isolation in these forecasts, but instead the blocking is sensitive to remote precursors, such as 500 and 50 hPa geopotential height, particularly in the low‐frequency flow. In general, there are more significant sensitivities to anomalies in the Tropics than in the polar regions. Stratospheric sensitivities tend to emerge at later lead times than tropospheric sensitivities. The strongest and most robust sensitivities correspond to a Rossby wave precursor reaching from the Pacific basin across North America.
author2 Natural Environment Research Council
format Article in Journal/Newspaper
author Parker, Tess
Woollings, Tim
Weisheimer, Antje
spellingShingle Parker, Tess
Woollings, Tim
Weisheimer, Antje
Ensemble sensitivity analysis of Greenland blocking in medium‐range forecasts
author_facet Parker, Tess
Woollings, Tim
Weisheimer, Antje
author_sort Parker, Tess
title Ensemble sensitivity analysis of Greenland blocking in medium‐range forecasts
title_short Ensemble sensitivity analysis of Greenland blocking in medium‐range forecasts
title_full Ensemble sensitivity analysis of Greenland blocking in medium‐range forecasts
title_fullStr Ensemble sensitivity analysis of Greenland blocking in medium‐range forecasts
title_full_unstemmed Ensemble sensitivity analysis of Greenland blocking in medium‐range forecasts
title_sort ensemble sensitivity analysis of greenland blocking in medium‐range forecasts
publisher Wiley
publishDate 2018
url http://dx.doi.org/10.1002/qj.3391
https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Fqj.3391
https://onlinelibrary.wiley.com/doi/pdf/10.1002/qj.3391
https://onlinelibrary.wiley.com/doi/full-xml/10.1002/qj.3391
https://rmets.onlinelibrary.wiley.com/doi/pdf/10.1002/qj.3391
geographic Greenland
Pacific
geographic_facet Greenland
Pacific
genre Greenland
North Atlantic
North Atlantic oscillation
genre_facet Greenland
North Atlantic
North Atlantic oscillation
op_source Quarterly Journal of the Royal Meteorological Society
volume 144, issue 716, page 2358-2379
ISSN 0035-9009 1477-870X
op_rights http://creativecommons.org/licenses/by/4.0/
op_doi https://doi.org/10.1002/qj.3391
container_title Quarterly Journal of the Royal Meteorological Society
container_volume 144
container_issue 716
container_start_page 2358
op_container_end_page 2379
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