Stationary wave biases and their effect on upward troposphere– stratosphere coupling in sub-seasonal prediction models
The simulated Northern Hemisphere winter stationary wave (SW) field is investigated in 11 Subseasonalto-Seasonal (S2S) prediction project models. It is shown that while most models considered can well simulate the stationary wavenumbers 1 and 2 during the first 2 weeks of integration, they diverge f...
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ftethz:oai:www.research-collection.ethz.ch:20.500.11850/554538 2023-05-15T17:34:25+02:00 Stationary wave biases and their effect on upward troposphere– stratosphere coupling in sub-seasonal prediction models Schwartz, Chen Garfinkel, Chaim I. Yadav, Priyanka Chen, Wen Domeisen, Daniela 2022 application/application/pdf https://hdl.handle.net/20.500.11850/554538 https://doi.org/10.3929/ethz-b-000554538 en eng Copernicus info:eu-repo/semantics/altIdentifier/doi/10.5194/wcd-3-679-2022 info:eu-repo/grantAgreement/SNF/SNF-Förderungsprofessuren Stufe 2/170523 info:eu-repo/grantAgreement/SNF/SNF-Förderungsprofessuren: Fortsetzungsgesuche/198896 http://hdl.handle.net/20.500.11850/554538 doi:10.3929/ethz-b-000554538 info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/4.0/ Creative Commons Attribution 4.0 International CC-BY Weather and Climate Dynamics, 3 (2) info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion 2022 ftethz https://doi.org/20.500.11850/554538 https://doi.org/10.3929/ethz-b-000554538 https://doi.org/10.5194/wcd-3-679-2022 2023-02-13T01:05:14Z The simulated Northern Hemisphere winter stationary wave (SW) field is investigated in 11 Subseasonalto-Seasonal (S2S) prediction project models. It is shown that while most models considered can well simulate the stationary wavenumbers 1 and 2 during the first 2 weeks of integration, they diverge from observations following week 3. Those models with a poor resolution in the stratosphere struggle to simulate the waves, in both the troposphere and the stratosphere, even during the first 2 weeks. Focusing on the tropospheric regions where SWs peak in amplitude reveals that the models generally do a better job in simulating the northwestern Pacific stationary trough, while certain models struggle to simulate the stationary ridges in both western North America and the North Atlantic. In addition, a strong relationship is found between regional biases in the stationary height field and model errors in simulated upward propagation of planetary waves into the stratosphere. In the stratosphere, biases are mostly in wave 2 in those models with high stratospheric resolution, whereas in those models with low resolution in the stratosphere, a wave 1 bias is evident, which leads to a strong bias in the stratospheric mean zonal circulation due to the predominance of wave 1 there. Finally, biases in both amplitude and location of mean tropical convection and the subsequent subtropical downwelling are identified as possible contributors to biases in the regional SW field in the troposphere. ISSN:2698-4016 ISSN:2698-4008 Article in Journal/Newspaper North Atlantic ETH Zürich Research Collection Pacific |
institution |
Open Polar |
collection |
ETH Zürich Research Collection |
op_collection_id |
ftethz |
language |
English |
description |
The simulated Northern Hemisphere winter stationary wave (SW) field is investigated in 11 Subseasonalto-Seasonal (S2S) prediction project models. It is shown that while most models considered can well simulate the stationary wavenumbers 1 and 2 during the first 2 weeks of integration, they diverge from observations following week 3. Those models with a poor resolution in the stratosphere struggle to simulate the waves, in both the troposphere and the stratosphere, even during the first 2 weeks. Focusing on the tropospheric regions where SWs peak in amplitude reveals that the models generally do a better job in simulating the northwestern Pacific stationary trough, while certain models struggle to simulate the stationary ridges in both western North America and the North Atlantic. In addition, a strong relationship is found between regional biases in the stationary height field and model errors in simulated upward propagation of planetary waves into the stratosphere. In the stratosphere, biases are mostly in wave 2 in those models with high stratospheric resolution, whereas in those models with low resolution in the stratosphere, a wave 1 bias is evident, which leads to a strong bias in the stratospheric mean zonal circulation due to the predominance of wave 1 there. Finally, biases in both amplitude and location of mean tropical convection and the subsequent subtropical downwelling are identified as possible contributors to biases in the regional SW field in the troposphere. ISSN:2698-4016 ISSN:2698-4008 |
format |
Article in Journal/Newspaper |
author |
Schwartz, Chen Garfinkel, Chaim I. Yadav, Priyanka Chen, Wen Domeisen, Daniela |
spellingShingle |
Schwartz, Chen Garfinkel, Chaim I. Yadav, Priyanka Chen, Wen Domeisen, Daniela Stationary wave biases and their effect on upward troposphere– stratosphere coupling in sub-seasonal prediction models |
author_facet |
Schwartz, Chen Garfinkel, Chaim I. Yadav, Priyanka Chen, Wen Domeisen, Daniela |
author_sort |
Schwartz, Chen |
title |
Stationary wave biases and their effect on upward troposphere– stratosphere coupling in sub-seasonal prediction models |
title_short |
Stationary wave biases and their effect on upward troposphere– stratosphere coupling in sub-seasonal prediction models |
title_full |
Stationary wave biases and their effect on upward troposphere– stratosphere coupling in sub-seasonal prediction models |
title_fullStr |
Stationary wave biases and their effect on upward troposphere– stratosphere coupling in sub-seasonal prediction models |
title_full_unstemmed |
Stationary wave biases and their effect on upward troposphere– stratosphere coupling in sub-seasonal prediction models |
title_sort |
stationary wave biases and their effect on upward troposphere– stratosphere coupling in sub-seasonal prediction models |
publisher |
Copernicus |
publishDate |
2022 |
url |
https://hdl.handle.net/20.500.11850/554538 https://doi.org/10.3929/ethz-b-000554538 |
geographic |
Pacific |
geographic_facet |
Pacific |
genre |
North Atlantic |
genre_facet |
North Atlantic |
op_source |
Weather and Climate Dynamics, 3 (2) |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.5194/wcd-3-679-2022 info:eu-repo/grantAgreement/SNF/SNF-Förderungsprofessuren Stufe 2/170523 info:eu-repo/grantAgreement/SNF/SNF-Förderungsprofessuren: Fortsetzungsgesuche/198896 http://hdl.handle.net/20.500.11850/554538 doi:10.3929/ethz-b-000554538 |
op_rights |
info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/4.0/ Creative Commons Attribution 4.0 International |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/20.500.11850/554538 https://doi.org/10.3929/ethz-b-000554538 https://doi.org/10.5194/wcd-3-679-2022 |
_version_ |
1766133245604265984 |