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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Main Authors: WANG Hongli, Yuanfu XIE, CHILDS Peter, Shui-Yong FAN, Yu ZHANG
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2018-07-01
Series:Atmospheric and Oceanic Science Letters
Subjects:
Online Access:http://dx.doi.org/10.1080/16742834.2018.1491778
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spelling 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
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AT shuiyongfan ensembletransformsensitivityforadaptiveobservationsageneralformulationanditspracticableimplementation
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