China is expanding its national wind and solar resource survey to provide detailed “meteorological genetic profiles” for prospective wind and solar projects, according to the China Meteorological Administration.
National Wind and Solar Surveys Transform Renewable Energy Planning
The nationwide expansion builds on a dataset covering more than 10 years of hourly data at 1-km resolution. Originally launched as pilot programs in six provinces, the survey now supports site selection and risk assessment across the country. According to Xu Xiaofeng, president of the Chinese Meteorological Service Association, the expanded scope evaluates resource endowment and development risks rather than simple volume. The survey determines whether resources are stable and complementary, providing a unified data foundation for energy planning, transmission capacity, and energy storage configuration.
AI-Powered Weather Intelligence Drives Industry Decisions
Commercial meteorological platforms are translating granular weather data into actionable operational instructions for sectors like aviation and renewable energy. Moji Weather, which expanded from a consumer app into industry services, partners with clients to combine weather intelligence with enterprise data, according to Jin Ruichao, general manager of Moji Weather’s government and enterprise business department. For instance, Moji Weather collaborated with Xizang Airlines to build an AI model for forecasting plateau thunderstorms. The system delivers 120-minute forecasts updated every six minutes with an accuracy rate exceeding 75 percent, which has helped avoid 44 flight diversions and returns.
| Technology / Platform | Developer | Key Capability |
|---|---|---|
| ElectroMetis SaaS | Moji Weather | Integrates high-resolution data and AI forecasts for power generation and grid operations. |
| Yuanjing Tianji | Envision Group | Generates global forecasts up to 45 days ahead at 5-km resolution; supports typhoon life-cycle decisions. |
| MAZU System | China Meteorological Administration | Combines Fengyun satellite observations and AI models for multi-hazard early warnings. |
Managing Typhoon Risks at Wind Farms
Advanced forecasting models now assist wind farm operators in timing turbine shutdowns and restarts during major storms. According to Zhang Pu, a senior executive from Envision Group, the company’s Yuanjing Tianji weather foundation model ranked first in the latest WeatherBench 2 evaluation, outperforming models from Google and Microsoft. The model generates global forecasts up to 45 days ahead at a 5-km resolution with 10-minute updates. During this year’s typhoon season, the system provided decision support across the entire storm lifecycle, helping operators balance safety and financial returns during pre-landfall inspections and post-storm maintenance.
Did you know?
Advanced AI weather models can generate forecasts up to 45 days ahead at a 5-km resolution, updating every 10 minutes to help renewable energy operators plan maintenance and equipment deployment around severe storms.
Expanding Global Meteorological Cooperation
China is extending its meteorological decision-support systems to international partners, particularly across the Association of Southeast Asian Nations (ASEAN) and other developing nations. Fengyun satellite emergency services supply high-frequency remote-sensing products to countries including Vietnam, Thailand, Myanmar, the Philippines, and Indonesia during extreme weather. Meanwhile, the MAZU AI-powered early-warning system had been deployed in seven countries—Pakistan, Ethiopia, the Solomon Islands, Jordan, Sri Lanka, Mongolia, and Djibouti—by July 2026, while its cloud services operate in over 40 nations, according to the China Meteorological Administration. Unny Sankar Ravi Sankar, minister for economic affairs at the Embassy of Malaysia in Beijing, noted that the initiative demonstrates the value of international cooperation in building multi-hazard early-warning capacity.
Frequently Asked Questions
What is the purpose of China’s expanded wind and solar resource survey?
The survey provides detailed meteorological genetic profiles to support site selection, risk assessment, and capacity configuration for renewable energy projects using a 10-year hourly dataset at 1-km resolution.
How do AI models assist wind farms during typhoons?
AI models like Envision Group’s Yuanjing Tianji provide real-time forecasting support across a storm’s lifecycle, helping operators decide precisely when to shut down and safely restart turbines to minimize generation losses.
Which countries use the MAZU meteorological system?
As of July 2026, the MAZU system has been deployed locally in seven countries—Pakistan, Ethiopia, the Solomon Islands, Jordan, Sri Lanka, Mongolia, and Djibouti—with cloud services utilized by authorities in over 40 nations.
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