The International Coupled Data Assimilation Symposium, sponsored by OUC’s key laboratory of physical oceanography (under the Ministry of Education) and hosted by Qingdao National Laboratory for Marine Science and Technology (QNLM), was held at QNLM from the 5th to 8th of November, 2017.

As a solution to the issue of integrating marine observation data into marine models, coupled data assimilation serves as a key link in predicting marine environments and improving their safety insurance level. The combination of a coupled climate model that connects atmosphere, ocean, sea ice and land, with applied research on the predictivity of climate is not only a current focus area in across science, but it also has the potential to produce results that will bring enormous value to society.

Over 150 colleagues attended the meeting which saw more than 30 academic reports being delivered. Papers were given by researchers from renowned institutes and universities including the US National Oceanic and Atmospheric Administration, the US National Center for Atmospheric Research, the Scripps Institution of Oceanography, the University of Maryland, the University of Arizona, the European Center for Medium-Range Weather Forecasts, the University of Reading, the Alfred-Wegener Institute, the Australian Bureau of Meteorology, the Nansen Environmental and Remote Sensing Center, the Bjerknes Center for Climate Research, the Japan Agency for Marine-Earth Science and Technology, and Kongju National University.

The symposium focused on the latest progress made in the field of marine data assimilation both at home and abroad. The participants discussed cutting-edge issues, including atmosphere-ocean coupled data assimilation, the Earth system models and the Earth system coupled data assimilation, data assimilation algorithms, marine data assimilation, and ocean prediction. A session targeted at young scholars was also included, allowing them to present a poster of their research to the audience and to receive feedback from experts. 

Original Article From: http://eweb.ouc.edu.cn/news/list.htm

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