During the COP28 in Dubai, Chinese scientists from the Shanghai Academy of Artificial Intelligence for Science (SAIS), Fudan University, and China’s National Climate Center introduced a groundbreaking sub-seasonal forecasting model, “FuXi-Subseasonal,” utilizing artificial intelligence (AI). The model extends the forecasting range to 42 days, addressing a critical need in predicting sub-seasonal anomalies, which contribute significantly to high-impact climate events. Combining transformer architecture with guided random samples in a latent space, the model outperforms the European Centre for Medium-Range Weather Forecasts (ECMWF) in accuracy. Overcoming challenges related to inaccurate initial conditions, the model enhances predictions for the Madden-Julian Oscillation (MJO) and major weather processes, offering timely and precise assessments of climate-related risks. The researchers anticipate that FuXi-Subseasonal, with its cutting-edge AI capabilities, will contribute to addressing a range of climate challenges, including renewable energy development, electric power systems, agricultural planning, and sustainable socio-economic transformation.
Source – CGTN