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 Subseasonal-to-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...
Published in: | Weather and Climate Dynamics |
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Main Authors: | , , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
Copernicus Publications
2022
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Subjects: | |
Online Access: | https://doi.org/10.5194/wcd-3-679-2022 https://noa.gwlb.de/receive/cop_mods_00061612 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00061048/wcd-3-679-2022.pdf https://wcd.copernicus.org/articles/3/679/2022/wcd-3-679-2022.pdf |
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author | Schwartz, Chen Garfinkel, Chaim I. Yadav, Priyanka Chen, Wen Domeisen, Daniela I. V. |
author_facet | Schwartz, Chen Garfinkel, Chaim I. Yadav, Priyanka Chen, Wen Domeisen, Daniela I. V. |
author_sort | Schwartz, Chen |
collection | Niedersächsisches Online-Archiv NOA |
container_issue | 2 |
container_start_page | 679 |
container_title | Weather and Climate Dynamics |
container_volume | 3 |
description | The simulated Northern Hemisphere winter stationary wave (SW) field is investigated in 11 Subseasonal-to-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. |
format | Article in Journal/Newspaper |
genre | North Atlantic |
genre_facet | North Atlantic |
geographic | Pacific |
geographic_facet | Pacific |
id | ftnonlinearchiv:oai:noa.gwlb.de:cop_mods_00061612 |
institution | Open Polar |
language | English |
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op_doi | https://doi.org/10.5194/wcd-3-679-2022 |
op_relation | Weather and Climate Dynamics -- https://www.weather-climate-dynamics.net/ -- 2698-4016 https://doi.org/10.5194/wcd-3-679-2022 https://noa.gwlb.de/receive/cop_mods_00061612 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00061048/wcd-3-679-2022.pdf https://wcd.copernicus.org/articles/3/679/2022/wcd-3-679-2022.pdf |
op_rights | https://creativecommons.org/licenses/by/4.0/ uneingeschränkt info:eu-repo/semantics/openAccess |
op_rightsnorm | CC-BY |
publishDate | 2022 |
publisher | Copernicus Publications |
record_format | openpolar |
spelling | ftnonlinearchiv:oai:noa.gwlb.de:cop_mods_00061612 2025-01-16T23:42:09+00:00 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 I. V. 2022-06 electronic https://doi.org/10.5194/wcd-3-679-2022 https://noa.gwlb.de/receive/cop_mods_00061612 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00061048/wcd-3-679-2022.pdf https://wcd.copernicus.org/articles/3/679/2022/wcd-3-679-2022.pdf eng eng Copernicus Publications Weather and Climate Dynamics -- https://www.weather-climate-dynamics.net/ -- 2698-4016 https://doi.org/10.5194/wcd-3-679-2022 https://noa.gwlb.de/receive/cop_mods_00061612 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00061048/wcd-3-679-2022.pdf https://wcd.copernicus.org/articles/3/679/2022/wcd-3-679-2022.pdf https://creativecommons.org/licenses/by/4.0/ uneingeschränkt info:eu-repo/semantics/openAccess CC-BY article Verlagsveröffentlichung article Text doc-type:article 2022 ftnonlinearchiv https://doi.org/10.5194/wcd-3-679-2022 2022-06-26T23:11:40Z The simulated Northern Hemisphere winter stationary wave (SW) field is investigated in 11 Subseasonal-to-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. Article in Journal/Newspaper North Atlantic Niedersächsisches Online-Archiv NOA Pacific Weather and Climate Dynamics 3 2 679 692 |
spellingShingle | article Verlagsveröffentlichung Schwartz, Chen Garfinkel, Chaim I. Yadav, Priyanka Chen, Wen Domeisen, Daniela I. V. Stationary wave biases and their effect on upward troposphere– stratosphere coupling in sub-seasonal prediction models |
title | 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_short | 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 |
topic | article Verlagsveröffentlichung |
topic_facet | article Verlagsveröffentlichung |
url | https://doi.org/10.5194/wcd-3-679-2022 https://noa.gwlb.de/receive/cop_mods_00061612 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00061048/wcd-3-679-2022.pdf https://wcd.copernicus.org/articles/3/679/2022/wcd-3-679-2022.pdf |