海表面温度的变分同化预报模式:初始场的全局优化

doi:10.3969/j.issn.1001-909X.2015.01.001

海洋学研究 ›› 2015, Vol. 33 ›› Issue (1): 1-8.DOI: 10.3969/j.issn.1001-909X.2015.01.001

• 研究论文 • 下一篇

海表面温度的变分同化预报模式:初始场的全局优化

高艳秋^1,2, 苏洁³, 李磊³, 吕咸青³

1.卫星海洋环境动力学国家重点实验室,浙江杭州 310012;
2.国家海洋局第二海洋研究所,浙江杭州310012;
3.中国海洋大学海洋环境学院物理海洋学教育部重点实验室,山东青岛 266100

收稿日期:2014-09-18 修回日期:2014-12-03 出版日期:2015-03-15 发布日期:2022-11-25
作者简介:高艳秋(1987-),女,山东临沂市人,助理研究员,主要从事物理海洋学方面的研究。E-mail:gaoyanqiujuly11th@163.com
基金资助:
国家自然科学基金项目资助(41276029);国家“863“计划项目资助(2013AA122803);国家公益性行业(气象)科研专项项目资助(GYHY201306049)

Application of adjoint assimilation method in a sea surface temperature prediction model:global optimization of the initial field

GAO Yan-qiu¹, SU Jie², LI Lei², LV Xian-qing²

1. State Key Laboratory of Satellite Ocean Environment Dynamics, The Second Institute of Oceanography SOA, Hangzhou 310012, China;
2. Key Laboratory of Physical Oceanography MOE China, Ocean University of China, Qingdao 266100, China

Received:2014-09-18 Revised:2014-12-03 Online:2015-03-15 Published:2022-11-25

摘要/Abstract

摘要： 利用变分同化技术,将船舶报资料与海表面温度短期数值预报模式有机结合,实现了渤、黄、东海的海表面温度短期数值预报。本预报模式利用伴随方法实现了预报模式的全局优化,不但最大限度地利用了船舶报资料,而且初始温度场的调整由自动的数值迭代过程来实现。在渤、黄、东海海域,4个季节的典型月份的SST连续1个月的24 h后报结果与船舶报资料均方差均降至0.8 ℃以下。同化后海表面温度初始场的绝均差较同化前有显著下降。与以前所用的客观分析方法比较的结果表明,伴随同化的预报精度明显高于客观分析方法。

关键词: 伴随同化, 海表面温度, 短期数值预报, 渤、黄、东海

Abstract: Variational assimilation technique, in conjunction with the ship reported data, is applied to a short term numerical prediction model in order to realize automatic short term SST forecast in the Bohai, the Yellow and the East China Seas. The prediction model, using the adjoint assimilation method, achieves a global optimization of the initial SST field. Corresponding to the four typical months (February, May, August and November) of four quarters respectively in 2002, we do forecast for a month continuously. The results indicate that the root mean square error between the hindcasts of 24 successive hours and the ship reported data is reduced to below 0.8 ℃. The mean absolute errors of SST are reduced markedly, compared with the values before assimilation. The forecast accuracy is improved with the adjoint assimilation method compared with the results from the objective analysis method.

Key words: adjoint assimilation method, sea surface temperature, short term numerical prediction, the Bohai, the Yellow and the East China Seas

中图分类号:

P731.31

高艳秋, 苏洁, 李磊, 吕咸青. 海表面温度的变分同化预报模式:初始场的全局优化[J]. 海洋学研究, 2015, 33(1): 1-8.

GAO Yan-qiu, SU Jie, LI Lei, LV Xian-qing. Application of adjoint assimilation method in a sea surface temperature prediction model:global optimization of the initial field[J]. Journal of Marine Sciences, 2015, 33(1): 1-8.

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海表面温度的变分同化预报模式:初始场的全局优化

Application of adjoint assimilation method in a sea surface temperature prediction model:global optimization of the initial field

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