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Ensemble transform sensitivity for adaptive observations:a general formulation and its practicable implementation 被引量:1

Ensemble transform sensitivity for adaptive observations: a general formulation and its practicable implementation
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摘要 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. 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.
出处 《Atmospheric and Oceanic Science Letters》 CSCD 2018年第4期352-357,共6页 大气和海洋科学快报(英文版)
关键词 Adaptive OBSERVATIONS ENSEMBLE TRANSFORM sensitivity analysis Adaptive observations ensemble transform sensitivity analysis
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