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Data science for oceanography:from small data to big data

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摘要 The rapid development of ocean observation technology has resulted in the accumulation of a large amount of data and this is pushing ocean science towards being data-driven.Based on the types and distribution of oceanographic data,this paper analyzes the present and makes predictions for the future regarding the use of big and small data in ocean science.The ocean science has not fully entered the era of big data.There are two ways to expand the amount of oceanographic data to better understanding and man-agement of the ocean.On the data level,fully exploit the potential value of big and small ocean data,and transform the limited,small data into rich,big data,will help to achieve this.On the application level,oceanographic data are of great value if realize the federation of the core data owners and the consumers.The oceanographic data will provide not only a reliable scientific basis for climate,ecological,disaster and other scientific research,but also provide an unprecedented rich source of information that can be used to make predictions of the future.
出处 《Big Earth Data》 EI 2022年第2期236-250,共15页 地球大数据(英文)
基金 the National Natural Science Foundation of China[Nos.41906182,L1824025/XK2018DXC002 and 42030406] Shandong Province's Marine S&T Fund for Pilot National Laboratory for Marine Science and Technology(Qingdao)[No.2018SDKJ0102-8] the Marine Science&Technology Fund of Shandong Province for Pilot National Laboratory for Marine Science and Technology(Qingdao)[Grant No.2018SDKJ102] the National Key Research and Development Program of China[Nos.2019YFD0901001,2018YFC1407003 and 2017YFC1405300].
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