Implementation of 3D-VAR and assessment of forecast skill for Regional

Title
Implementation of 3D-VAR and assessment of forecast skill for Regional
Author(s)
김영호; 박균도; 민홍식
Publication Year
2010-05-02
Abstract
We applied 3-dimentional variational data assimilation technique (3D-Var) to the MOM3-based regional oceanmodel in the East/Japan Sea (EJS) which is an East Asian marginal sea. Satellite-borne sea surface temperatureand sea surface height, and temperature profiles have been assimilated into the model. The numerical performanceof the regional ocean model with 3D-Var system appears to be efficient enough to be used in an operational oceanforecast system.Model-data comparison shows that the reanalysis produced by 3D-Var system fairly well represents not onlythe mean circulation but also meso-scale eddies in the EJS. The overall root-mean-square error between 100mtemperature fields of reanalysis and observation is 2.1 oC, and the spatially averaged grid-to-grid correlation ishigh with a mean value of 0.79 for the inter-comparison period.For the assessment of forecast skill of the regional ocean model, we compared the measured temperature by thePressure-equipped Inverted Echo Sounder and hindcasted one initialized by means of the 3D-Var system in thesouth-western basin of the EJS. The forecast skill of our regional ocean model will be displayed.
URI
https://sciwatch.kiost.ac.kr/handle/2020.kiost/29004
Bibliographic Citation
European Geosciences Union General Asseambly 2010, pp.1, 2010
Publisher
European Geosciences Union
Type
Conference
Language
English
Publisher
European Geosciences Union
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