Ensemble transform sensitivity for adaptive observations: a general formulation and its practicable implementation
The Ensemble Transformation (ET) method and its variation ET-based Sensitivity (ETS) method have been used in adaptive observation studies. However, the solution of the ensemble transformation matrix in the ET and ETS methods is not unique. A general mathematical formulation for the ensemble transfo...
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Series: | Atmospheric and Oceanic Science Letters |
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Online Access: | http://dx.doi.org/10.1080/16742834.2018.1491778 |
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doaj-461e9d6944364b3ca7b095148dd3c0412021-03-02T06:59:37ZengKeAi Communications Co., Ltd.Atmospheric and Oceanic Science Letters1674-28342376-61232018-07-0111435235710.1080/16742834.2018.14917781491778Ensemble transform sensitivity for adaptive observations: a general formulation and its practicable implementationWANG Hongli0Yuanfu XIE1CHILDS Peter2Shui-Yong FAN3Yu ZHANG4National Center for Atmospheric ResearchChinese Academy of Meteorological SciencesPanasonic Weather SolutionInstitute of Urban MeteorologySchool of atmospheric sciences, Sun Yet-Sen UniversityThe Ensemble Transformation (ET) method and its variation ET-based Sensitivity (ETS) method have been used in adaptive observation studies. However, the solution of the ensemble transformation matrix in the ET and ETS methods is not unique. A general mathematical formulation for the ensemble transformation matrix is derived and then a generalized equation for the ETS method is derived. It is proved that the previous ETS formulation is a special implementation of the newly derived general formulation. Another practicable implementation of the general ETS formulation that avoids calculating the inverse of some matrices is proposed. This ETS implementation showed physically reasonable statistical sensitivity regions for improving 1–3 day weather forecasts over eastern regions of U.S.A and Beijing region, China.http://dx.doi.org/10.1080/16742834.2018.1491778Adaptive observationsensemble transformsensitivity analysis |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
WANG Hongli Yuanfu XIE CHILDS Peter Shui-Yong FAN Yu ZHANG |
spellingShingle |
WANG Hongli Yuanfu XIE CHILDS Peter Shui-Yong FAN Yu ZHANG Ensemble transform sensitivity for adaptive observations: a general formulation and its practicable implementation Atmospheric and Oceanic Science Letters Adaptive observations ensemble transform sensitivity analysis |
author_facet |
WANG Hongli Yuanfu XIE CHILDS Peter Shui-Yong FAN Yu ZHANG |
author_sort |
WANG Hongli |
title |
Ensemble transform sensitivity for adaptive observations: a general formulation and its practicable implementation |
title_short |
Ensemble transform sensitivity for adaptive observations: a general formulation and its practicable implementation |
title_full |
Ensemble transform sensitivity for adaptive observations: a general formulation and its practicable implementation |
title_fullStr |
Ensemble transform sensitivity for adaptive observations: a general formulation and its practicable implementation |
title_full_unstemmed |
Ensemble transform sensitivity for adaptive observations: a general formulation and its practicable implementation |
title_sort |
ensemble transform sensitivity for adaptive observations: a general formulation and its practicable implementation |
publisher |
KeAi Communications Co., Ltd. |
series |
Atmospheric and Oceanic Science Letters |
issn |
1674-2834 2376-6123 |
publishDate |
2018-07-01 |
description |
The Ensemble Transformation (ET) method and its variation ET-based Sensitivity (ETS) method have been used in adaptive observation studies. However, the solution of the ensemble transformation matrix in the ET and ETS methods is not unique. A general mathematical formulation for the ensemble transformation matrix is derived and then a generalized equation for the ETS method is derived. It is proved that the previous ETS formulation is a special implementation of the newly derived general formulation. Another practicable implementation of the general ETS formulation that avoids calculating the inverse of some matrices is proposed. This ETS implementation showed physically reasonable statistical sensitivity regions for improving 1–3 day weather forecasts over eastern regions of U.S.A and Beijing region, China. |
topic |
Adaptive observations ensemble transform sensitivity analysis |
url |
http://dx.doi.org/10.1080/16742834.2018.1491778 |
work_keys_str_mv |
AT wanghongli ensembletransformsensitivityforadaptiveobservationsageneralformulationanditspracticableimplementation AT yuanfuxie ensembletransformsensitivityforadaptiveobservationsageneralformulationanditspracticableimplementation AT childspeter ensembletransformsensitivityforadaptiveobservationsageneralformulationanditspracticableimplementation AT shuiyongfan ensembletransformsensitivityforadaptiveobservationsageneralformulationanditspracticableimplementation AT yuzhang ensembletransformsensitivityforadaptiveobservationsageneralformulationanditspracticableimplementation |
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1724241756979986432 |