Central Meteorological Observatory: Preliminary establishment of a typhoon monitoring and forecasting system based on artificial intelligence for monitoring | typhoons | forecasting
This year's typhoon season has begun, and the reporter learned that the Central Meteorological Observatory has initially built an artificial intelligence based typhoon monitoring and forecasting system, providing important technical support for improving the intelligence of China's typhoon monitoring and forecasting business and rapidly expanding global tropical cyclone business in multiple sea areas.
Typhoons often experience significant intensity changes within 24 hours, rising by 1 to 2 levels, making typhoon intensity forecasting a global challenge. In response to this, the Central Meteorological Observatory, in collaboration with research institutes, universities, and others, has carried out a series of explorations of artificial intelligence in typhoon monitoring and forecasting. They have established technologies such as typhoon vortex recognition, intelligent determination of typhoon intensity, and rapid enhancement discrimination of typhoons. They have built a typhoon monitoring and forecasting system based on artificial intelligence, which has advantages in processing nonlinear and massive data, helping forecasters add to the accuracy of forecasts.
![Central Meteorological Observatory: Preliminary establishment of a typhoon monitoring and forecasting system based on artificial intelligence for monitoring | typhoons | forecasting](https://a5qu.com/upload/images/1bbcc6a4237b3112fc28b52d8316b83b.jpg)
Zhou Guanbo, Chief Forecaster of the Typhoon and Ocean Meteorological Forecasting Center of the Central Meteorological Observatory: Last year, out of 25 typhoons, 12 of them experienced a rapid strengthening process, which is also relatively rare in history. With the help of artificial intelligence, although the number of typhoons rapidly strengthening is increasing year by year, our level of typhoon intensity prediction has been maintained. In 2022, our 24-hour typhoon intensity forecast error was 3.88 meters per second, exceeding the forecast level for typhoon intensity by the United States and Japan for the first time.
The detection model based on artificial intelligence technology can also intelligently recognize typhoon vortices on infrared cloud images containing a large amount of cloud noise, and quickly locate them. This technology has a recognition rate of nearly 100% for typhoons and above. It is understood that in the next step, the Central Meteorological Observatory will further promote the deep integration of artificial intelligence technology in typhoon monitoring, forecasting, and services, providing innovative technical support for precise monitoring, forecasting, and services of global typhoons.
![Central Meteorological Observatory: Preliminary establishment of a typhoon monitoring and forecasting system based on artificial intelligence for monitoring | typhoons | forecasting](https://a5qu.com/upload/images/7a5a72dccabf9c710ec80d9f11a731e0.jpg)