尹训强

尹训强

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。

Eastern Equatorial Pacific SST Seasonal Cycle in Global Climate Models: From CMIP5 to CMIP6

The simulation of the sea surface temperature (SST) seasonal cycle in the eastern equatorial Pacific (EEP) is a longstanding problem in climate modeling. This study compares the …

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宋振亚

Impact of Enhanced Wave-Induced Mixing on the Ocean Upper Mixed Layer during Typhoon Nepartak in a Regional Model of the Northwest Pacific Ocean

To investigate the effect of wave-induced mixing on the upper ocean structure, especially under typhoon conditions, an ocean-wave coupled model is used in this study. Two physical …

chengcheng-yu

海量数据驱动下的高分辨率海洋数值模式发展与展望 (development and prospect of high-resolution ocean numerical models driven by massive data)

With the rapid growth of oceanographic data and computing power, high-resolution ocean numerical modeling has entered a new era. This paper reviews the current status and future …

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宋振亚

Seasonal Prediction Skills of FIO-ESM for North Pacific Sea Surface Temperature and Precipitation

The seasonal prediction skill of the First Institute of Oceanography-Earth System Model (FIO-ESM) is evaluated for the North Pacific. The model shows high skill in predicting SST …

yiding-zhao

Evaluation on Surface Current Observing Network of High Frequency Ground Wave Radars in the Gulf of Thailand

The performance of the surface current observing network of high frequency ground wave radars (HFGWRs) in the Gulf of Thailand (GoT) is evaluated. Based on the Dilution of …

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尹训强

An Effective Method Based on Dynamic Sampling for Data Assimilation in a Global Wave Model

A dynamic sampling method is proposed to improve the efficiency of data assimilation in wave models. By selecting representative samples based on wave conditions, the computational …

meng-sun

Ocean Satellite Data Assimilation Experiments in FIO-ESM Using Ensemble Adjustment Kalman Filter

Satellite-derived sea surface temperature and sea level anomaly data are assimilated into the FIO-ESM. The EAKF-based assimilation system significantly reduces the model bias and …

hui-chen

The Prediction on the 2015/16 El Niño Event from the Perspective of FIO-ESM

The 2015/16 El Niño was one of the strongest events on record. This paper reports on the real-time prediction of this event using the First Institute of Oceanography-Earth System …

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宋振亚

Argo Data Assimilation in Ocean General Circulation Model of Northwest Pacific Ocean

In this study, the Argo profiles are assimilated into an ocean general circulation model (OGCM) of the Northwest Pacific Ocean using the Ensemble Adjustment Kalman Filter (EAKF). …

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尹训强

Using Ensemble Adjustment Kalman Filter to Assimilate Argo Profiles in a Global OGCM

An ensemble adjustment Kalman filter (EAKF) is used to assimilate Argo profiles of 2008 in a global version of the Modular Ocean Model version 4. Four assimilation experiments are …

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尹训强