Research on identifying ocean sensitive area in adaptive observation based on ETKF

Adaptive observation is an efficacious idea by operating additional observation in sensitive area to improve the quality of model forecast. The ETKF (Ensemble Transform Kalman Filter) method has been proved an effective method for identifying sensitive area and widely applied in atmosphere but barel...

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Bibliographic Details
Published in2017 4th International Conference on Systems and Informatics (ICSAI) pp. 1718 - 1722
Main Authors Baolong Cui, Lianglong Da, Wuhong Guo
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.11.2017
Subjects
Adaptation models
Adaptive observation
Adaptive systems
Atmospheric modeling
Covariance matrices
ETKF
Oceans
Perturbation methods
sensitive area
Transforms
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Summary:Adaptive observation is an efficacious idea by operating additional observation in sensitive area to improve the quality of model forecast. The ETKF (Ensemble Transform Kalman Filter) method has been proved an effective method for identifying sensitive area and widely applied in atmosphere but barely in ocean field. In this paper, an adaptive observation system based on ETKF is applied in East China Sea. Simulations are operated based on the ROMS model data of particular area. Several ETKF method parameters are selected and optimized. Sensitive areas of separate ocean environment parameters are identified through distinct adaptive observation types aimed for different areas. There are a number of enlightening conclusions gained from the analysis of simulations.
DOI:10.1109/ICSAI.2017.8248561