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, id_orcid:0 000-0001-9674-4837
Format: Article in Journal/Newspaper
Language:English
Published: Copernicus 2023
Subjects:
Online Access:https://hdl.handle.net/20.500.11850/631069
https://doi.org/10.3929/ethz-b-000631069
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author Rodwell, Mark J.
Wernli, Heini
id_orcid:0 000-0001-9674-4837
author_facet Rodwell, Mark J.
Wernli, Heini
id_orcid:0 000-0001-9674-4837
author_sort Rodwell, Mark J.
collection ETH Zürich Research Collection
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 with cyclogenesis situations. Comparison of variance growth rates and reliability with other forecast systems within The International Grand Global Ensemble (TIGGE) archive indicates some sensitivity to the model or its initialization. For the ECMWF ensemble forecast, sensitivity experiments suggest that a large part of the total day-2 spread in cyclogenesis cases is associated with the growth of EDA uncertainty, but up to 25 % can be associated with the additional singular vector perturbations to the initial conditions and up to 25 % with the representation of model uncertainty. The sensitivities of spread to resolution, the explicit representation of convection, and the assimilation of local observations are also considered. The study raises the question of whether the EDA now successfully represents initial uncertainty (and the enhanced growth rates associated with cyclogenesis) to the extent that singular vector perturbations could be reduced in magnitude to improve storm track reliability. This would leave ...
format Article in Journal/Newspaper
genre North Atlantic
genre_facet North Atlantic
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op_source Weather and Climate Dynamics, 4 (3)
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spelling ftethz:oai:www.research-collection.ethz.ch:20.500.11850/631069 2025-03-30T15:21:21+00:00 Uncertainty growth and forecast reliability during extratropical cyclogenesis Rodwell, Mark J. Wernli, Heini id_orcid:0 000-0001-9674-4837 2023-07-05 application/application/pdf https://hdl.handle.net/20.500.11850/631069 https://doi.org/10.3929/ethz-b-000631069 en eng Copernicus info:eu-repo/semantics/altIdentifier/doi/10.5194/wcd-4-591-2023 info:eu-repo/semantics/altIdentifier/wos/001168808100001 http://hdl.handle.net/20.500.11850/631069 info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/4.0/ Creative Commons Attribution 4.0 International Weather and Climate Dynamics, 4 (3) info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion 2023 ftethz https://doi.org/20.500.11850/63106910.3929/ethz-b-00063106910.5194/wcd-4-591-2023 2025-03-05T22:09:13Z 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 with cyclogenesis situations. Comparison of variance growth rates and reliability with other forecast systems within The International Grand Global Ensemble (TIGGE) archive indicates some sensitivity to the model or its initialization. For the ECMWF ensemble forecast, sensitivity experiments suggest that a large part of the total day-2 spread in cyclogenesis cases is associated with the growth of EDA uncertainty, but up to 25 % can be associated with the additional singular vector perturbations to the initial conditions and up to 25 % with the representation of model uncertainty. The sensitivities of spread to resolution, the explicit representation of convection, and the assimilation of local observations are also considered. The study raises the question of whether the EDA now successfully represents initial uncertainty (and the enhanced growth rates associated with cyclogenesis) to the extent that singular vector perturbations could be reduced in magnitude to improve storm track reliability. This would leave ... Article in Journal/Newspaper North Atlantic ETH Zürich Research Collection
spellingShingle Rodwell, Mark J.
Wernli, Heini
id_orcid:0 000-0001-9674-4837
Uncertainty growth and forecast reliability during extratropical cyclogenesis
title 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_short Uncertainty growth and forecast reliability during extratropical cyclogenesis
title_sort uncertainty growth and forecast reliability during extratropical cyclogenesis
url https://hdl.handle.net/20.500.11850/631069
https://doi.org/10.3929/ethz-b-000631069