Accurate medium-range global weather forecasting with 3D neural networks

• Published in: Nature (London) Vol. 619; no. 7970; pp. 533 - 538
• Main Authors: Bi, Kaifeng, Xie, Lingxi, Zhang, Hengheng, Chen, Xin, Gu, Xiaotao, Tian, Qi
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 20.07.2023; Nature Publishing Group
• Subjects: 639/705/117; 704/106/35/823; Accuracy; Algorithms; Cyclones; Differential equations; Ensemble forecasting; Extreme weather; Forecast accuracy; Global weather; Humanities and Social Sciences; Intelligence; Medium-range forecasting; Meteorological data; Methods; multidisciplinary; Neural networks; Numerical prediction; Numerical weather forecasting; Partial differential equations; Science; Science (multidisciplinary); Tropical cyclones; Variables; Weather; Weather forecasting

Weather forecasting is important for science and society. At present, the most accurate forecast system is the numerical weather prediction (NWP) method, which represents atmospheric states as discretized grids and numerically solves partial differential equations that describe the transition betwee...