Optimal Localization for Ensemble Kalman Filter Systems

DOI Web Site Web Site 被引用文献1件 参考文献38件

この論文をさがす

抄録

 In ensemble Kalman filter methods, localization is applied for both avoiding the spurious correlations of distant observations and increasing the effective size of the ensemble space. The procedure is essential in order to provide quality assimilation in large systems; however a severe localization can cause imbalances that impact negatively on the accuracy of the analysis.<br> We want to understand the fundamental properties of localized ensemble methods and to investigate an optimal localization expression which minimizes the analysis error. The novel analytical expression derived in this work depends on the observation error, the density of measurements, and the approximation error, i.e., the error that comes from working in the ensemble space. The mathematical results are tested with two numerical simulations using a toy model. We demonstrate that observations with different observation error or density need different localization length scales.

収録刊行物

  • 気象集誌. 第2輯

    気象集誌. 第2輯 92 (6), 585-597, 2014

    公益社団法人 日本気象学会

被引用文献 (1)*注記

もっと見る

参考文献 (38)*注記

もっと見る

キーワード

詳細情報 詳細情報について

問題の指摘

ページトップへ