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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Main Authors: Schwartz, Chen, Garfinkel, Chaim I., Yadav, Priyanka, Chen, Wen, Domeisen, Daniela
Format: Article in Journal/Newspaper
Language:English
Published: ETH Zurich 2022
Subjects:
Online Access:https://dx.doi.org/10.3929/ethz-b-000554538
http://hdl.handle.net/20.500.11850/554538
id ftdatacite:10.3929/ethz-b-000554538
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spelling ftdatacite:10.3929/ethz-b-000554538 2024-04-28T08:30:38+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 2022 application/pdf https://dx.doi.org/10.3929/ethz-b-000554538 http://hdl.handle.net/20.500.11850/554538 en eng ETH Zurich article-journal Text ScholarlyArticle Journal Article 2022 ftdatacite https://doi.org/10.3929/ethz-b-000554538 2024-04-02T12:32:08Z 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 ... : Weather and Climate Dynamics, 3 (2) ... 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)
op_collection_id ftdatacite
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 ... : Weather and Climate Dynamics, 3 (2) ...
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 ETH Zurich
publishDate 2022
url https://dx.doi.org/10.3929/ethz-b-000554538
http://hdl.handle.net/20.500.11850/554538
genre North Atlantic
genre_facet North Atlantic
op_doi https://doi.org/10.3929/ethz-b-000554538
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