Diffusion Filters for Variational Data Assimilation of Sea Surface Temperature in an Intermediate Climate Model
Loading...
Files
Authors
Chu, Peter C.
Zhang, Xuefeng
Li, Dong
Zhang, Lianxin
Li, Wei
Subjects
Advisors
Date of Issue
2015
Date
2015
Publisher
Hindawi Publishing Corporation
Language
Abstract
Sequential, adaptive, and gradient diffusion filters are implemented into spatial multiscale three-dimensional variational data
assimilation (3DVAR) as alternative schemes to model background error covariance matrix for the commonly used correction
scale method, recursive filter method, and sequential 3DVAR. The gradient diffusion filter (GDF) is verified by a two-dimensional
sea surface temperature (SST) assimilation experiment. Compared to the existing DF, the new GDF scheme shows a superior
performance in the assimilation experiment due to its success in extracting the spatial multiscale information. The GDF can retrieve
successfully the longwave information over the whole analysis domain and the shortwave information over data-dense regions.
After that, a perfect twin data assimilation experiment framework is designed to study the effect of the GDF on the state estimation
based on an intermediate coupled model. In this framework, the assimilation model is subject to “biased” initial fields from the
“truth” model. While the GDF reduces the model bias in general, it can enhance the accuracy of the state estimation in the region
that the observations are removed, especially in the South Ocean. In addition, the higher forecast skill can be obtained through the
better initial state fields produced by the GDF.
Type
Article
Description
The article of record as published may be found at http://dx.doi.org/10.1155/2015/751404
Series/Report No
Department
Oceanography
Organization
Naval Postgraduate School (U.S.)
Identifiers
NPS Report Number
Sponsors
National Basic Research Program of China (no. 2013CB430304)
National High-Tech R&D Program of China (no. 2013AA09A505)
National Natural Science Foundation of China (nos. 41206178, 41376015, 41376013, and 51379049)
National High-Tech R&D Program of China (no. 2013AA09A505)
National Natural Science Foundation of China (nos. 41206178, 41376015, 41376013, and 51379049)
Funder
National Basic Research Program of China (no. 2013CB430304)
National High-Tech R&D Program of China (no. 2013AA09A505)
National Natural Science Foundation of China (nos. 41206178, 41376015, 41376013, and 51379049)
National High-Tech R&D Program of China (no. 2013AA09A505)
National Natural Science Foundation of China (nos. 41206178, 41376015, 41376013, and 51379049)
Format
18 p.
Citation
Zhang, Xuefeng, et al. "Diffusion Filters for Variational Data Assimilation of Sea Surface Temperature in an Intermediate Climate Model." Advances in Meteorology 2015 (2015).
Distribution Statement
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.