| Issue |
E3S Web Conf.
Volume 213, 2020
2nd International Conference on Applied Chemistry and Industrial Catalysis (ACIC 2020)
|
|
|---|---|---|
| Article Number | 03023 | |
| Number of page(s) | 7 | |
| Section | Environmental Chemical Research and Energy-saving Technology Application | |
| DOI | https://doi.org/10.1051/e3sconf/202021303023 | |
| Published online | 01 December 2020 | |
Innovation Report of Big Data on Marine Forecast on the North Line of Maritime Silk Road
The National Marine Environmental Forecasting Center (NMEFC) of Ministry of Natural Resources of the People’s Republic of China, Beijing 100081
* Corresponding author’s e-mail: linbo@nmefc.cn
Since the first Arctic expedition in China in 1999, the National Marine Environment Forecasting Center of China has undertaken safety guarantee tasks for the 9 batches of Arctic scientific expedition ships (teams) and 26 merchant ships to come and back the North Line of Maritime Silk Road in China. This paper summarized their successful experience and innovation achievements in big data application, emphatically introduced the innovation of big data infrastructure construction of Maritime Silk Road marine forecasting, that is, the establishment of independent marine observation system, the exploration of international cooperation mode of marine observation, as well as the participation in global regional observation plans. Besides, marine prediction business innovation, safety guarantee service innovation, and supercomputing technology innovation were included in the scientific and technological business innovation. Moreover, the innovation achievements include aspects of polar marine prediction big data, guarantee technology big data and supercomputing. Finally, the construction and development prospect on the North Line of Maritime Silk Road were briefly prospected.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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