China Releases Global Ocean Dataset at Un Conference

China Launches AI-Powered Global Ocean Dataset at UN Conference

China has unveiled a cutting-edge global ocean dataset, powered by advanced artificial intelligence technologies, at a United Nations Ocean Conference in Nice, France.

The China Global Ocean Fusion Dataset 1.0 (CGOF1.0) is a high-quality marine dataset that incorporates data from more than 40 domestic and international sources. It integrates China’s marine observations over the past 60 years, offering a spatial resolution of 10 kilometers.

“The dataset utilizes advanced AI technologies like deep learning, transfer learning, and machine learning, making it more accurate than many mainstream international datasets,” said Yu Ting, a researcher at the National Marine Data and Information Service.

The release of CGOF1.0 has received global recognition from UN agencies, governments, and marine experts. Vidar Helgesen, Executive Secretary of the Intergovernmental Oceanographic Commission of UNESCO, emphasized the urgency of sharing ocean data.

“More extreme weather events are taking place in oceans. Biodiversity collapses and many changes are threatening coastal communities,” said Helgesen. “Data sharing is essential for better prediction and preparation in the face of these threats.”

Helgesen praised China’s leadership in ocean policy and observation, calling on all nations to intensify efforts and collaborate in the rapidly changing ocean environment.

Dwikorita Karnawati, Director of the Indonesian Agency for Meteorology, Climatology and Geophysics, highlighted the importance of China’s role in ocean data sharing, especially for developing countries.

“The ocean data remains very limited, making China’s role in this area very important,” said Karnawati. “The data that China provides is not only critical for its own needs but also highly valuable to global society, particularly in enhancing ocean safety and early warning systems.”

Leonardo Arancibia, Area Coordinator of Natural Resources, Science and Technology at the Library of the National Congress of Chile, stressed the significance of building a unified global ocean database.

“The data released by China is of high significance, helping analyze and understand oceanic changes from both global and local perspectives,” said Arancibia.

As the world grapples with pressing challenges like climate change, disaster prevention, ecological protection, and sustainable development, high-quality ocean data like CGOF1.0 plays a pivotal role in addressing these issues.

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