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Title: アンサンブルスプレッドを活かしたガイダンスの精度向上
Other Titles: The improvement of post-processing with the ensemble spread
Authors: 相河, 卓哉1 Browse this author
稲津, 將2 Browse this author →KAKEN DB
Authors(alt): Aikawa, Takuya1
Inatsu, Masaru2
Issue Date: 26-Mar-2022
Publisher: 北海道大学大学院理学研究院
Journal Title: 北海道大学地球物理学研究報告
Journal Title(alt): Geophysical bulletin of Hokkaido University
Volume: 85
Start Page: 1
End Page: 10
Abstract: Post-processing is an inevitable procedure to statistically correct systematic errors in a numerical model product. Karman filtering, a post-processing technique, often ameliorated the prediction skill by overlearning due to large random errors. This study conducted an experiment to determine the observation error variance from the ensemble spread, based on an idealised numerical model of Lorenz 96. The results suggested that the overlearning was mitigated in spite of synchronisation of systematic errors and the prediction skill was higher than in previous method.
Type: bulletin (article)
Appears in Collections:北海道大学地球物理学研究報告 = Geophysical bulletin of Hokkaido University > 第85号

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