Uncertainty growth and forecast reliability during extratropical cyclogenesis ...

In global numerical weather prediction, the strongest contribution to ensemble variance growth over the first few days is at synoptic scales. Hence it is particularly important to ensure that this synoptic-scale variance is reliable. Here we focus on wintertime synoptic-scale growth in the North Atl...

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Main Authors: Rodwell, Mark J., Wernli, Heini
Format: Article in Journal/Newspaper
Language:English
Published: ETH Zurich 2023
Subjects:
Online Access:https://dx.doi.org/10.3929/ethz-b-000631069
http://hdl.handle.net/20.500.11850/631069
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spelling ftdatacite:10.3929/ethz-b-000631069 2024-04-28T08:30:36+00:00 Uncertainty growth and forecast reliability during extratropical cyclogenesis ... Rodwell, Mark J. Wernli, Heini 2023 application/pdf https://dx.doi.org/10.3929/ethz-b-000631069 http://hdl.handle.net/20.500.11850/631069 en eng ETH Zurich article-journal Text ScholarlyArticle Journal Article 2023 ftdatacite https://doi.org/10.3929/ethz-b-000631069 2024-04-02T12:32:08Z In global numerical weather prediction, the strongest contribution to ensemble variance growth over the first few days is at synoptic scales. Hence it is particularly important to ensure that this synoptic-scale variance is reliable. Here we focus on wintertime synoptic-scale growth in the North Atlantic storm track. In the 12 h background forecasts of the Ensemble of Data Assimilations (EDA) from the European Centre for Medium-Range Weather Forecasts (ECMWF), we find that initial variance growth at synoptic scales tends to be organized in particular flow situations, such as during the deepening of cyclones (cyclogenesis). Both baroclinic and diabatic aspects may be involved in the overall growth rate. However, evaluation of reliability through use of an extended error-spread equation indicates that the ECMWF ensemble forecast, which is initialized from the EDA but with additional singular vector perturbations, appears to have too much variance at a lead time of 2 d and that this over-spread is associated ... : Weather and Climate Dynamics, 4 (3) ... Article in Journal/Newspaper North Atlantic DataCite Metadata Store (German National Library of Science and Technology)
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
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language English
description In global numerical weather prediction, the strongest contribution to ensemble variance growth over the first few days is at synoptic scales. Hence it is particularly important to ensure that this synoptic-scale variance is reliable. Here we focus on wintertime synoptic-scale growth in the North Atlantic storm track. In the 12 h background forecasts of the Ensemble of Data Assimilations (EDA) from the European Centre for Medium-Range Weather Forecasts (ECMWF), we find that initial variance growth at synoptic scales tends to be organized in particular flow situations, such as during the deepening of cyclones (cyclogenesis). Both baroclinic and diabatic aspects may be involved in the overall growth rate. However, evaluation of reliability through use of an extended error-spread equation indicates that the ECMWF ensemble forecast, which is initialized from the EDA but with additional singular vector perturbations, appears to have too much variance at a lead time of 2 d and that this over-spread is associated ... : Weather and Climate Dynamics, 4 (3) ...
format Article in Journal/Newspaper
author Rodwell, Mark J.
Wernli, Heini
spellingShingle Rodwell, Mark J.
Wernli, Heini
Uncertainty growth and forecast reliability during extratropical cyclogenesis ...
author_facet Rodwell, Mark J.
Wernli, Heini
author_sort Rodwell, Mark J.
title Uncertainty growth and forecast reliability during extratropical cyclogenesis ...
title_short Uncertainty growth and forecast reliability during extratropical cyclogenesis ...
title_full Uncertainty growth and forecast reliability during extratropical cyclogenesis ...
title_fullStr Uncertainty growth and forecast reliability during extratropical cyclogenesis ...
title_full_unstemmed Uncertainty growth and forecast reliability during extratropical cyclogenesis ...
title_sort uncertainty growth and forecast reliability during extratropical cyclogenesis ...
publisher ETH Zurich
publishDate 2023
url https://dx.doi.org/10.3929/ethz-b-000631069
http://hdl.handle.net/20.500.11850/631069
genre North Atlantic
genre_facet North Atlantic
op_doi https://doi.org/10.3929/ethz-b-000631069
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