China Strengthens AI Forecasting for Extreme Weather Warnings

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China has introduced a powerful new artificial intelligence weather model, “Fengyuan,” aimed at improving the prediction of extreme weather events at home and abroad. Developed by the China Meteorological Administration (CMA), this system sits at the center of a broader upgrade to the country’s AI-based forecasting tools, with implications for disaster preparedness, energy security, transportation, and international climate services.

Fengyuan: China’s New AI Engine for Extreme Weather Forecasting

Fengyuan is an AI model designed to enhance the early detection and forecasting of high-impact weather, from severe storms and extreme rainfall to heatwaves and other climate-related hazards. Released in Xiongan New Area, Hebei Province, it marks a strategic step in China’s long-term plan to modernize meteorological services using advanced data science.

An Open-Source, End-to-End Weather Intelligence Platform

The CMA has positioned Fengyuan as an open-source platform, inviting contributions from researchers, institutions, and developers. This approach aims to accelerate innovation in AI-driven meteorology while enabling the broader scientific community to test, validate, and improve the model.

Unlike many traditional forecasting systems, Fengyuan is described as an end-to-end solution, meaning it can ingest raw observational data and directly produce weather forecasts. According to its development team, the long-term vision is an observation-driven, multi-sphere forecasting system that integrates:

  • Atmospheric processes
  • Land–surface interactions
  • Oceanic and possibly cryospheric (ice and snow) components
  • This multi-sphere integration is essential for capturing the complex physical mechanisms behind extreme events in a warming climate.

    Technological Self-Reliance and Intellectual Property

    CMA officials emphasize that Fengyuan is independently developed with full proprietary intellectual property rights. This reflects a broader national push for technological self-reliance in critical scientific infrastructure, reducing dependence on foreign models and data systems.

    By controlling the entire stack—from model architecture to training, deployment, and data assimilation—China can tailor Fengyuan to regional characteristics, rapidly update it as new observations arrive, and align it with national priorities in disaster risk reduction and climate resilience.

    Sector-Wide Benefits: From Low-Altitude Aviation to Public Health

    Extreme weather is no longer a niche concern; it cuts across nearly every sector of the economy. Fengyuan is intended to support a wide range of applications where accurate, timely forecasts are crucial.

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    Operational Uses Across Key Industries

    According to CMA officials, Fengyuan’s improved forecasting capabilities are expected to benefit:

  • Low-altitude aviation – safer routing for drones, helicopters, and general aviation through better detection of storms, turbulence, and low-visibility conditions
  • Energy security – optimized operation of power grids, renewable energy integration, and demand forecasting under extreme heat, cold, or storms
  • Transportation – enhanced planning for highways, railways, and maritime routes, reducing delays and weather-related accidents
  • Public health – early warnings for heatwaves, cold spells, and pollution-related weather patterns that affect vulnerable populations
  • By strengthening early detection of high-impact events, Fengyuan can help authorities shift from reactive emergency response to proactive risk management.

    Support for Belt and Road Countries

    Beyond China’s borders, the CMA plans to use Fengyuan to provide meteorological services to countries participating in the Belt and Road Initiative. This includes:

  • Sharing forecasts and climate assessments
  • Improving early warning systems for partner countries
  • Contributing to cross-border disaster risk reduction
  • Such international applications underscore how AI-based weather systems are becoming tools of both scientific cooperation and global climate resilience.

    Upgraded AI Forecasting Suite: Fengqing, Fenglei, and Fengshun

    Fengyuan’s launch comes alongside significant upgrades to three existing CMA AI models—Fengqing, Fenglei, and Fengshun—covering different forecasting timescales and applications.

    Fengqing: Enhanced Global Medium-Range Forecasting

    Fengqing is the CMA’s global medium-range forecasting system, targeting weather predictions over several days to a couple of weeks. It has been upgraded to incorporate 11 additional physical parameters, such as:

  • Precipitation
  • Solar radiation
  • Other critical atmospheric variables that influence storm development and energy balance
  • By enriching the model with more physical detail, Fengqing is better equipped to resolve complex weather patterns and improve the reliability of medium-range outlooks.

    Fenglei: From Radar Echoes to Direct Rainfall Forecasts

    Fenglei operates on the nowcasting timescale—minutes to a few hours ahead—where rapid, high-resolution updates are essential. It has advanced from simply predicting radar echoes to performing direct quantitative precipitation forecasting.

    This shift means Fenglei can now provide more accurate estimates of how much rain will fall, where, and when, dramatically improving early warnings for:

  • Extreme rainfall
  • Flash floods
  • Urban waterlogging and drainage planning
  • Fengshun: Better Subseasonal-to-Seasonal Outlooks

    The subseasonal-to-seasonal system Fengshun focuses on forecasts from weeks to months ahead. Recent upgrades have:

  • Improved spatial resolution, allowing finer geographic detail
  • Enhanced temperature and precipitation predictions
  • These improvements strengthen support for:

  • Disaster warning on longer lead times
  • Energy management and seasonal demand planning
  • Agriculture, including planting schedules and drought preparedness
  • International climate services that rely on reliable subseasonal-to-seasonal guidance
  • Toward a Next-Generation, AI-Driven Weather Ecosystem

    Collectively, Fengyuan and the upgraded Fengqing, Fenglei, and Fengshun form an integrated AI ecosystem spanning timescales from minutes to months.

    This system covers local storms to global circulation patterns.

    By combining AI methods with physical mechanisms, the CMA is positioning its forecasting infrastructure for a climate-challenged future.

    Expanding international collaboration is also a key part of this effort.

    The performance of these evolving systems in real-world extreme events will be closely watched by the global meteorological community.

    They serve as scientific testbeds and as models for how AI can be responsibly embedded into operational weather and climate services.

     
    Here is the source article for this story: China boosts AI forecasting for extreme weather events

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