Evaluation on Surface Current Observing Network of High Frequency Ground Wave Radars in the Gulf of Thailand
Image credit: Xunqiang Yin摘要
Due to the high cost of ocean observation system, the scientific design of observation network becomes much important. The current network of the high frequency radar system in the Gulf of Thailand has been studied using a three-dimensional coastal ocean model. At first, the observations from current radars have been assimilated into this coastal model and the forecast results have improved due to the data assimilation. But the results also show that further optimization of the observing network is necessary. And then, a series of experiments were carried out to assess the performance of the existing high frequency ground wave radar surface current observation system. The simulated surface current data in three regions were assimilated sequentially using an efficient ensemble Kalman filter data assimilation scheme. The experimental results showed that the coastal surface current observation system plays a positive role in improving the numerical simulation of the currents. Compared with the control experiment without assimilation, the simulation precision of surface and subsurface current had been improved after assimilated the surface currents observed at current networks. However, the improvement for three observing regions was quite different and current observing network in the Gulf of Thailand is not effective and a further optimization is required. Based on these evaluations, a manual scheme has been designed by discarding the redundant and inefficient locations and adding new stations where the performance after data assimilation is still low. For comparison, an objective scheme based on the idea of data assimilation has been obtained. Results show that all the two schemes of observing network perform better than the original network and optimal scheme-based data assimilation is much superior to the manual scheme that based on the evaluation of original observing network in the Gulf of Thailand. The distributions of the optimal network of radars could be a useful guidance for future design of observing system in this region.
类型
出版物
Ocean Dynamics
Gulf of Thailand
High Frequency Radar
Observation System Simulation Experiment
Surface Current
海洋数值模式

Authors
副研究员
主要致力于海洋数值模拟与数据同化研究,在国内外杂志上发表文章60余篇,承担了国家基金项目、国家973课题、公益性行业专项课题和重点研发计划等多项研究任务。近年来,在多变量联合同化调整和高效并行计算等研究方面取得重要成果,发展了海洋全要素高效并行数据同化系统,有效提高了海洋预报能力和气候预测水平,发布了我国首套全球高分辨率再分析数据。基于Kalman滤波原理,通过变量间的协方差表征海洋动力学特征以及多种影响因素之间的相互作用,有效利用观测信息优化其周围网的各种变量,实现多变量联合同化调整。作为核心成员,突破了负载近绝对均衡、主从核协同计算框架设计和循环折叠流水线等若干关键技术,为海洋数值预报系统建设提供了技术支撑。据此研发了海洋全要素高效并行数据同化系统,已成功应用到21世纪海上丝绸之路海洋环境预报、第二代海洋环境保障等多个预报系统,并支撑了气候预测和观测设计优化等研究的开展。
Authors
Authors