China has launched a groundbreaking marine dataset aimed at addressing global environmental challenges during the United Nations Ocean Conference in Nice, France. The China Global Ocean Fusion Dataset 1.0 (CGOF1.0), developed using advanced AI technologies, integrates over 60 years of data from more than 40 domestic and international sources, offering unprecedented spatial resolution and accuracy.
Researcher Yu Ting from the National Marine Data and Information Service highlighted the dataset's capabilities, noting its 10-kilometer resolution and integration of deep learning and machine learning tools. “This dataset provides critical insights for climate resilience, disaster preparedness, and sustainable development,” Yu stated.
UNESCO’s Vidar Helgesen praised China’s leadership, emphasizing the urgency of global data collaboration amid rising ocean threats. “Extreme weather and biodiversity loss demand unified action,” he said. Indonesian meteorology chief Dwikorita Karnawati echoed this sentiment, calling the dataset “vital for early warning systems and ocean safety.”
Chilean researcher Leonardo Arancibia underscored the dataset’s role in building a unified global database, enabling analysis of temperature and salinity trends over decades. As nations grapple with climate crises, CGOF1.0 positions China as a key player in fostering international scientific cooperation.
