Effects of the wind–mass balance constraint on ensemble forecasts in the hybrid‐4DEnVar
Ensemble forecast covariance plays an important role in the hybridized background error covariance framework to improve the resultant analysis quality. However, a localization of ensemble samples is needed to fully take advantage of flow‐dependent error modes. In this regard, it is an interesting an...
Published in: | Quarterly Journal of the Royal Meteorological Society |
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Online Access: | http://dx.doi.org/10.1002/qj.3440 https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Fqj.3440 https://onlinelibrary.wiley.com/doi/pdf/10.1002/qj.3440 https://onlinelibrary.wiley.com/doi/full-xml/10.1002/qj.3440 https://rmets.onlinelibrary.wiley.com/doi/pdf/10.1002/qj.3440 |
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crwiley:10.1002/qj.3440 2024-06-02T07:58:34+00:00 Effects of the wind–mass balance constraint on ensemble forecasts in the hybrid‐4DEnVar Song, Hyo‐Jong Kang, Jeon‐Ho Korea Meteorological Administration 2019 http://dx.doi.org/10.1002/qj.3440 https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Fqj.3440 https://onlinelibrary.wiley.com/doi/pdf/10.1002/qj.3440 https://onlinelibrary.wiley.com/doi/full-xml/10.1002/qj.3440 https://rmets.onlinelibrary.wiley.com/doi/pdf/10.1002/qj.3440 en eng Wiley http://onlinelibrary.wiley.com/termsAndConditions#vor Quarterly Journal of the Royal Meteorological Society volume 145, issue 719, page 434-449 ISSN 0035-9009 1477-870X journal-article 2019 crwiley https://doi.org/10.1002/qj.3440 2024-05-03T10:53:06Z Ensemble forecast covariance plays an important role in the hybridized background error covariance framework to improve the resultant analysis quality. However, a localization of ensemble samples is needed to fully take advantage of flow‐dependent error modes. In this regard, it is an interesting and practical issue as to which variables, composing the ensemble perturbation, the localization should be applied to. This study examines this issue in a boreal‐summer month by comparing two experimental sets: (a) a set of model variables, and (b) another set of model wind variables and unbalanced dry mass (temperature and surface pressure) used for the control variables. In the comparison, it is shown that imposing the wind–mass balance on the ensemble perturbation improves the Antarctic lower‐stratospheric temperature and tropical mid‐/lower‐tropospheric humidity. The nonlinear wind–mass balance relationship smooths an evolution of humidity forecast forced by the resultant analysis increments. Article in Journal/Newspaper Antarc* Antarctic Wiley Online Library Antarctic The Antarctic Quarterly Journal of the Royal Meteorological Society 145 719 434 449 |
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Open Polar |
collection |
Wiley Online Library |
op_collection_id |
crwiley |
language |
English |
description |
Ensemble forecast covariance plays an important role in the hybridized background error covariance framework to improve the resultant analysis quality. However, a localization of ensemble samples is needed to fully take advantage of flow‐dependent error modes. In this regard, it is an interesting and practical issue as to which variables, composing the ensemble perturbation, the localization should be applied to. This study examines this issue in a boreal‐summer month by comparing two experimental sets: (a) a set of model variables, and (b) another set of model wind variables and unbalanced dry mass (temperature and surface pressure) used for the control variables. In the comparison, it is shown that imposing the wind–mass balance on the ensemble perturbation improves the Antarctic lower‐stratospheric temperature and tropical mid‐/lower‐tropospheric humidity. The nonlinear wind–mass balance relationship smooths an evolution of humidity forecast forced by the resultant analysis increments. |
author2 |
Korea Meteorological Administration |
format |
Article in Journal/Newspaper |
author |
Song, Hyo‐Jong Kang, Jeon‐Ho |
spellingShingle |
Song, Hyo‐Jong Kang, Jeon‐Ho Effects of the wind–mass balance constraint on ensemble forecasts in the hybrid‐4DEnVar |
author_facet |
Song, Hyo‐Jong Kang, Jeon‐Ho |
author_sort |
Song, Hyo‐Jong |
title |
Effects of the wind–mass balance constraint on ensemble forecasts in the hybrid‐4DEnVar |
title_short |
Effects of the wind–mass balance constraint on ensemble forecasts in the hybrid‐4DEnVar |
title_full |
Effects of the wind–mass balance constraint on ensemble forecasts in the hybrid‐4DEnVar |
title_fullStr |
Effects of the wind–mass balance constraint on ensemble forecasts in the hybrid‐4DEnVar |
title_full_unstemmed |
Effects of the wind–mass balance constraint on ensemble forecasts in the hybrid‐4DEnVar |
title_sort |
effects of the wind–mass balance constraint on ensemble forecasts in the hybrid‐4denvar |
publisher |
Wiley |
publishDate |
2019 |
url |
http://dx.doi.org/10.1002/qj.3440 https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Fqj.3440 https://onlinelibrary.wiley.com/doi/pdf/10.1002/qj.3440 https://onlinelibrary.wiley.com/doi/full-xml/10.1002/qj.3440 https://rmets.onlinelibrary.wiley.com/doi/pdf/10.1002/qj.3440 |
geographic |
Antarctic The Antarctic |
geographic_facet |
Antarctic The Antarctic |
genre |
Antarc* Antarctic |
genre_facet |
Antarc* Antarctic |
op_source |
Quarterly Journal of the Royal Meteorological Society volume 145, issue 719, page 434-449 ISSN 0035-9009 1477-870X |
op_rights |
http://onlinelibrary.wiley.com/termsAndConditions#vor |
op_doi |
https://doi.org/10.1002/qj.3440 |
container_title |
Quarterly Journal of the Royal Meteorological Society |
container_volume |
145 |
container_issue |
719 |
container_start_page |
434 |
op_container_end_page |
449 |
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1800741945073467392 |