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Implementations of a square-root ensemble analysis and a hybrid localisation into the POD-based ensemble 4DVar Cover

Implementations of a square-root ensemble analysis and a hybrid localisation into the POD-based ensemble 4DVar

By:  and    
Open Access
|Dec 2012

Abstract

The main purpose of this study is to propose a hybrid localisation technique for the proper orthogonal decomposition (POD)-based ensemble 4-D variational assimilation (PODEn4DVar) method with the aim of facilitating its implementation. This hybrid localisation scheme takes full advantages of both the implicit and explicit localisations and is relatively easy to be achieved by parallel programming. Besides, to strengthen its performance, we also incorporate a square root analysis scheme into the PODEn4DVar instead of its original one. The feasibility and effectiveness of the modified PODEn4DVar are demonstrated in a 2-D shallow-water equation model with simulated observations. It is found that the PODEn4DVar performs robust and is capable of outperforming the local ensemble transform Kalman filter (LETKF), its 4-D extension 4D-LETKF and another En4DVar method under both perfect- and imperfect-model scenarios.

Language: English
Page range: 18375 - 18375
Submitted on: Nov 29, 2011
Published on: Dec 1, 2012
Published by: Stockholm University Press
In partnership with: Paradigm Publishing Services

© 2012 Xiangjun Tian, Zhenghui Xie, published by Stockholm University Press
This work is licensed under the Creative Commons Attribution 4.0 License.