At a side event during the United Nations Ocean Conference in Nice, France, China has launched the China Global Ocean Fusion Dataset 1.0 (CGOF1.0). This cutting-edge marine dataset integrates data from over 40 sources, including extensive marine observations from the Chinese mainland, and covers more than 60 years of ocean insights at a 10-kilometer spatial resolution.
CGOF1.0 harnesses advanced artificial intelligence techniques such as deep learning, transfer learning, and machine learning to achieve accuracy that rivals many international datasets. In a world facing climate change, extreme weather events, and ecological shifts, high-quality ocean data is essential for disaster prevention, ecological protection, and sustainable development.
Marine experts and UN agencies have praised the initiative. Vidar Helgesen from the Intergovernmental Oceanographic Commission of UNESCO emphasized the urgency of sharing ocean data in order to better predict and prepare for increasing weather extremes and biodiversity changes. Similarly, Dwikorita Karnawati of the Indonesian Agency for Meteorology, Climatology and Geophysics highlighted that this data is invaluable not only for China but also for many developing regions. Leonardo Arancibia from Chile underscored the need for building a unified global ocean database to monitor key parameters like temperature and salinity over the decades.
This pioneering dataset marks a significant milestone for global marine research and international collaboration. With initiatives such as CGOF1.0, the future of ocean safety and sustainability looks brighter than ever—surfing into tomorrow with innovation and resilience! 🌊
Reference(s):
cgtn.com
