In a game-changing moment for marine science, the Chinese mainland just unveiled the China Global Ocean Fusion Dataset 1.0 (CGOF1.0) during a side event at the UN Ocean Conference in Nice, France. 🌊
This high-quality dataset brings together data from over 40 diverse sources, spanning 60 years with a spatial resolution of 10 kilometers. Utilizing advanced AI technologies such as deep learning, transfer learning, and machine learning, CGOF1.0 offers unparalleled accuracy that supports research in climate change, disaster prevention, ecological protection, and sustainable economic development.
Experts worldwide have taken notice. Vidar Helgesen, executive secretary of the Intergovernmental Oceanographic Commission of UNESCO, stressed how essential data sharing is for predicting extreme weather events and safeguarding coastal communities. Meteorology and climate professionals, like Dwikorita Karnawati of Indonesia's meteorological agency, highlighted that such comprehensive data is vital not only for national needs but also for global society, providing critical input for early warning systems and ocean safety.
For the tech-savvy and socially conscious youth, CGOF1.0 is a stellar example of how innovative data science can drive real-world solutions. Much like smart city initiatives in vibrant metropolises across South and Southeast Asia, this dataset embodies the fusion of technology and environmental stewardship—empowering communities to better understand and protect the world’s oceans. 🚀
Reference(s):
cgtn.com
