Investigating the dynamics of error growth in ECMWF medium‐range forecast busts

Despite steady and significant progress in the skill of global numerical weather prediction, ‘bust’ or ‘dropout’ events occur when forecast errors grow much larger than expected from the mean performance of the model. Researchers at the European Centre for Medium‐Range Weather Forecasts (ECMWF) iden...

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Published in:Quarterly Journal of the Royal Meteorological Society
Main Authors: Lillo, Samuel P., Parsons, David B.
Other Authors: National Science Foundation
Format: Article in Journal/Newspaper
Language:English
Published: Wiley 2017
Subjects:
Online Access:http://dx.doi.org/10.1002/qj.2938
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spelling crwiley:10.1002/qj.2938 2024-09-15T18:10:00+00:00 Investigating the dynamics of error growth in ECMWF medium‐range forecast busts Lillo, Samuel P. Parsons, David B. National Science Foundation 2017 http://dx.doi.org/10.1002/qj.2938 https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Fqj.2938 https://onlinelibrary.wiley.com/doi/pdf/10.1002/qj.2938 https://onlinelibrary.wiley.com/doi/full-xml/10.1002/qj.2938 https://rmets.onlinelibrary.wiley.com/doi/am-pdf/10.1002/qj.2938 https://rmets.onlinelibrary.wiley.com/doi/pdf/10.1002/qj.2938 en eng Wiley http://onlinelibrary.wiley.com/termsAndConditions#am http://onlinelibrary.wiley.com/termsAndConditions#vor Quarterly Journal of the Royal Meteorological Society volume 143, issue 704, page 1211-1226 ISSN 0035-9009 1477-870X journal-article 2017 crwiley https://doi.org/10.1002/qj.2938 2024-07-18T04:26:25Z Despite steady and significant progress in the skill of global numerical weather prediction, ‘bust’ or ‘dropout’ events occur when forecast errors grow much larger than expected from the mean performance of the model. Researchers at the European Centre for Medium‐Range Weather Forecasts (ECMWF) identified 584 bust cases for 6 day predictions over Europe utilizing the ERA‐Interim system as a fixed forecast model. Rodwell et al. proposed that the model's handling of mesoscale convective systems over North America, particularly during the spring, is a likely culprit for these busts. In our study, the 584 cases were examined through an empirical orthogonal function (EOF) analysis of Northern Hemisphere 500 hPa heights during the 6 day forecast period. The cases were clustered according to their behaviour in the first EOF, revealing distinctly different pattern changes. Patterns are consistent with a low wave‐number Rossby train reflecting over Greenland and a higher wave‐number Rossby train trapped in the Atlantic waveguide. Analysis of the waveguide reveals increased definition of the southern reflecting boundary and an extension toward Europe during bust cases. The seasonal variation of these regimes is also examined, with the maximum in bust frequency taking place during September–October, when recurving tropical storms are common in the central Atlantic. Other seasonal peaks occur in the summer and winter, proposed to be associated with mesoscale convective systems over North America and east coast cyclogenesis. Overall, these results suggest that the busts are occurring in association with the triggering and amplification of Rossby‐wave activity across the Atlantic, leading to large‐scale pattern transitions. Article in Journal/Newspaper Greenland Wiley Online Library Quarterly Journal of the Royal Meteorological Society 143 704 1211 1226
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description Despite steady and significant progress in the skill of global numerical weather prediction, ‘bust’ or ‘dropout’ events occur when forecast errors grow much larger than expected from the mean performance of the model. Researchers at the European Centre for Medium‐Range Weather Forecasts (ECMWF) identified 584 bust cases for 6 day predictions over Europe utilizing the ERA‐Interim system as a fixed forecast model. Rodwell et al. proposed that the model's handling of mesoscale convective systems over North America, particularly during the spring, is a likely culprit for these busts. In our study, the 584 cases were examined through an empirical orthogonal function (EOF) analysis of Northern Hemisphere 500 hPa heights during the 6 day forecast period. The cases were clustered according to their behaviour in the first EOF, revealing distinctly different pattern changes. Patterns are consistent with a low wave‐number Rossby train reflecting over Greenland and a higher wave‐number Rossby train trapped in the Atlantic waveguide. Analysis of the waveguide reveals increased definition of the southern reflecting boundary and an extension toward Europe during bust cases. The seasonal variation of these regimes is also examined, with the maximum in bust frequency taking place during September–October, when recurving tropical storms are common in the central Atlantic. Other seasonal peaks occur in the summer and winter, proposed to be associated with mesoscale convective systems over North America and east coast cyclogenesis. Overall, these results suggest that the busts are occurring in association with the triggering and amplification of Rossby‐wave activity across the Atlantic, leading to large‐scale pattern transitions.
author2 National Science Foundation
format Article in Journal/Newspaper
author Lillo, Samuel P.
Parsons, David B.
spellingShingle Lillo, Samuel P.
Parsons, David B.
Investigating the dynamics of error growth in ECMWF medium‐range forecast busts
author_facet Lillo, Samuel P.
Parsons, David B.
author_sort Lillo, Samuel P.
title Investigating the dynamics of error growth in ECMWF medium‐range forecast busts
title_short Investigating the dynamics of error growth in ECMWF medium‐range forecast busts
title_full Investigating the dynamics of error growth in ECMWF medium‐range forecast busts
title_fullStr Investigating the dynamics of error growth in ECMWF medium‐range forecast busts
title_full_unstemmed Investigating the dynamics of error growth in ECMWF medium‐range forecast busts
title_sort investigating the dynamics of error growth in ecmwf medium‐range forecast busts
publisher Wiley
publishDate 2017
url http://dx.doi.org/10.1002/qj.2938
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op_source Quarterly Journal of the Royal Meteorological Society
volume 143, issue 704, page 1211-1226
ISSN 0035-9009 1477-870X
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