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Fenghe goes open-source as Global Initiative kicks off
China's meteorological authority has open-sourced Fenghe, a 100-billion-parameter LLM trained on 50 million tokens of weather data and Earth system observations, positioning it as the first open-source meteorological foundation model. The initiative aims to build a global collaborative ecosystem for AI-driven disaster prevention and climate resilience.
This Wire brief sits within Fusion42's coverage of Climate Tech. Wire is Fusion42's founder-focused intelligence feed: each story is connected to the funds and startups it names — every one with a live profile on Raise or Scout — so founders can follow the capital and the momentum behind the headline rather than just the headline itself. Wire analysis is one of the live surfaces Arthur, Fusion42's AI co-founder, reasons over.
The Wire takeaway
A trained, production-ready climate model just entered the commons. If you're building weather risk, disaster prediction or climate adaptation tools, you now have a free featurised starting point that China validated at scale - and you need to move fast, because every climate-tech founder with a GPU just got the same opportunity.
Read the full story at wmo.int →
Topics: Climate Tech · open-source-models · climate-ai · foundation-models · weather-prediction · china-tech