CICE-LETKF Ensemble Analysis System with Application to Arctic Sea Ice Initialization

Journal of Marine Science and Engineering

Chenchen Lu¹  Zicheng Sha²  Xiying Liu² 

[1] College of Meteorology and Oceanography, National University of Defense Technology, Changsha 410008, China;College of Oceanography, Hohai University, Nanjing 210098, China;

关键词: Arctic;    ensemble Karman filter;    data assimilation;    numerical modeling;    sea ice;   

DOI  :  10.3390/jmse9090920

来源: DOAJ

【 摘 要 】

To study the effectiveness of methods to reduce errors for Arctic Sea ice initialization due to underestimation of background error covariance, an advanced ensemble analysis system has been developed. The system integrates the local ensemble transform Kalman filter (LETKF) with the community ice code (CICE). With a mixed layer ocean model used to compute the sea surface temperature (SST), the experiments on assimilation of observations of sea ice concentration (SIC) have been carried out. Assimilation experiments were performed over a 3-month period from January to March in 1997. The model was sequentially constrained with daily observation data. The effects of observation density, amplification factor for analysis error covariance, and relaxation of disturbance and spread on the results of SIC initialization were studied. It is shown that doubling the density of observation of SIC does not bring significant further improvement on the analysis result; when the ensemble size is doubled, most severe SIC biases in the Labrador, Greenland, Norwegian, and Barents seas are reduced; amplifying the analysis error covariance, relaxing disturbance, and relaxing spread all contribute to improving the reproduction of SIC with amplifying covariance with the largest magnitude.

【 授权许可】

Unknown