3 citations · 3 across the 5 of their papers we have counts for
5 papers
Searth Transformer: A Transformer Architecture Incorporating Earth's Geospheric Physical Priors for Global Mid-Range Weather Forecasting
Tianye Li, Qi Liu, Hao Li +15
Accurate global medium-range weather forecasting is fundamental to Earth system science. Most existing Transformer-based forecasting models adopt vision-centric architectures that…
YanTian: An Application Platform for AI Global Weather Forecasting Models
Wencong Cheng, Jiangjiang Xia, Chang Qu +4
To promote the practical application of AI Global Weather Forecasting Models (AIGWFM), we have developed an adaptable application platform named 'YanTian'. This platform enhances e…
The Compatibility between the Pangu Weather Forecasting Model and Meteorological Operational Data
Wencong Cheng, Yan Yan, Jiangjiang Xia +3
Recently, multiple data-driven models based on machine learning for weather forecasting have emerged. These models are highly competitive in terms of accuracy compared to tradition…
Meteorological Satellite Images Prediction Based on Deep Multi-scales Extrapolation Fusion
Fang Huang, Wencong Cheng, PanFeng Wang +2
Meteorological satellite imagery is critical for meteorologists. The data have played an important role in monitoring and analyzing weather and climate changes. However, satellite…
Creating synthetic night-time visible-light meteorological satellite images using the GAN method
Wencong Cheng
Meteorology satellite visible light images is critical for meteorology support and forecast. However, there is no such kind of data during night time. To overcome this, we propose…