端义宏,梁旭东,李永平,王东晓. 2000. 四维变分同化技术在优化Z-C预测模式初始场中的应用试验[J]. 气象学报, 58(5):523-533, doi:10.11676/qxxb2000.055 |
四维变分同化技术在优化Z-C预测模式初始场中的应用试验 |
APPLICATION OF THE FOUR-DIMENSIONAL VARIATIONAL DATA ASSIMILATION TECHNIQUE ON OPTIMIZING THE INITIAL CONDITIONS OF Z-C MODEL |
投稿时间:1999-06-30 修订日期:1999-11-17 |
DOI:10.11676/qxxb2000.055 |
中文关键词: Zebiak-Cane模式 四维变分资料同化 ENSO预测 |
英文关键词:Zebiak-Cane model Four-dimensional variational data assimilation ENSO prediction |
基金项目:国家“九·五”重中之重96-908-02-05专题;自然基金课题49705063 |
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中文摘要: |
文中使用四维变分同化技术将海温观测资料同化到Zebiak-Cane模式中,通过优化模式的初始场提高了模式的预报技巧。通过用理想场进行检验,说明所建立的同化伴随模式是正确的。用文中建立的四维变分同化模式以1997年1月为初始场所做的预报结果与实况相比,结果较好。这对今后ENSO预报打下了良好的基础。 |
英文摘要: |
The four-dimensional variational data assimilation (4DVAR) technique is applied in the Zebiak-Cane ENSO forecasting model for optimizing its initial conditions by using the adjoint method. The performance of adjoint model is checked via an ideal experiment. It suggests that ENSO forecasting model based on the adjoint model of 4DVAR technique has an ability of assimilating the observed sea surface temperature data. Comparing to the observational Nino3 Index, the simulated and forecasted one produced using the present model generally agree with that of observational during the period of 1997-1999. This suggests that Zebiak-Cane ENSO forecasting model has been improved by using the 4DVAR technique. |
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