Accurate medium-range global weather forecasting with 3D neural networks
3차원 신경망으로 정확한 중기 전 세계 일기예보를 진행하다
Pronóstico meteorológico global preciso a medio plazo con redes neuronales tridimensionales
Prévisions météorologiques mondiales précises à moyen terme avec un réseau de neurones 3D
Точный среднесрочный глобальный прогноз погоды с помощью трехмерной нейронной сети
Kaifeng Bi 毕恺峰, Lingxi Xie 谢凌曦, Hengheng Zhang 张恒亨, Xin Chen 陈鑫, Xiaotao Gu 顾晓韬, Qi Tian 田奇
Huawei Cloud, Shenzhen, China
中国 深圳 华为云
Nature, 5 July 2023

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 between those states. However, this procedure is computationally expensive.

Recently, artificial-intelligence-based methods have shown potential in accelerating weather forecasting by orders of magnitude, but the forecast accuracy is still significantly lower than that of NWP methods. Here we introduce an artificial-intelligence-based method for accurate, medium-range global weather forecasting.

We show that three-dimensional deep networks equipped with Earth-specific priors are effective at dealing with complex patterns in weather data, and that a hierarchical temporal aggregation strategy reduces accumulation errors in medium-range forecasting. Trained on 39 years of global data, our program, Pangu-Weather, obtains stronger deterministic forecast results on reanalysis data in all tested variables when compared with the world's best NWP system, the operational integrated forecasting system of the European Centre for Medium-Range Weather Forecasts (ECMWF).

Our method also works well with extreme weather forecasts and ensemble forecasts. When initialized with reanalysis data, the accuracy of tracking tropical cyclones is also higher than that of ECMWF-HRES.
Reviews and Discussions
Fast source mask co-optimization method for high-NA EUV lithography
Polariton lasing in Mie-resonant perovskite nanocavity
High-Q resonant Terahertz metasurfaces
Efficient stochastic parallel gradient descent training for on-chip optical processor
High-intensity spatial-mode steerable frequency up-converter toward on-chip integration
Unraveling the efficiency losses and improving methods in quantum dot-based infrared up-conversion photodetectors
Ultrafast dynamics of femtosecond laser-induced high spatial frequency periodic structures on silicon surfaces
Optical scanning endoscope via a single multimode optical fiber
Self-polarized RGB device realized by semipolar micro-LEDs and perovskite-in-polymer films for backlight applications
A highly sensitive LITES sensor based on a multi-pass cell with dense spot pattern and a novel quartz tuning fork with low frequency
Multi-wavelength nanowire micro-LEDs for future high speed optical communication
Luminescence regulation of Sb3+ in 0D hybrid metal halides by hydrogen bond network for optical anti-counterfeiting

Previous Article                                Next Article
Copyright © Hot Paper