Accurate medium-range global weather forecasting with 3D neural networks. [PDF]
Nature, 2023 Three-dimensional deep neural networks can be trained to forecast global weather patterns, including extreme weather, with accuracy greater than or equal to that of the best numerical weather prediction models.
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The Challenge of Machine Learning in Space Weather Nowcasting and Forecasting [PDF]
Space Weather, 2019 The numerous recent breakthroughs in machine learning (ML) make imperative to carefully ponder how the scientific community can benefit from a technology that, although not necessarily new, is today living its golden age.
Andrejková G. +19 more
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Long-Short Term Memory for an Effective Short-Term Weather Forecasting Model Using Surface Weather Data [PDF]
Artificial Intelligence Applications and Innovations, 2019 Part 7: Deep Learning - Convolutional ANNInternational audienceNumerical Weather Prediction (NWP) requires considerable computer power to solve complex mathematical equations to obtain a forecast based on current weather conditions.
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Machine Learning Emulation of Gravity Wave Drag in Numerical Weather Forecasting. [PDF]
J Adv Model Earth Syst, 2021 We assess the value of machine learning as an accelerator for the parameterization schemes of operational weather forecasting systems, specifically the parameterization of nonorographic gravity wave drag.
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Probabilistic weather forecasting with machine learning. [PDF]
NatureWeather forecasts are fundamentally uncertain, so predicting the range of probable weather scenarios is crucial for important decisions, from warning the public about hazardous weather to planning renewable energy use.
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The rise of data-driven weather forecasting: A first statistical assessment of machine learning-based weather forecasts in an operational-like context [PDF]
Bulletin of The American Meteorological Society - (BAMS), 2023 Data-driven modeling based on machine learning (ML) is showing enormous potential for weather forecasting. Rapid progress has been made with impressive results for some applications.
Zied Ben-Bouallegue +16 more
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FuXi: a cascade machine learning forecasting system for 15-day global weather forecast [PDF]
npj Climate and Atmospheric Science, 2023 Over the past few years, the rapid development of machine learning (ML) models for weather forecasting has led to state-of-the-art ML models that have superior performance compared to the European Centre for Medium-Range Weather Forecasts (ECMWF)’s high ...
Lei Chen +6 more
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GraphCast: Learning skillful medium-range global weather forecasting [PDF]
arXiv.org, 2022 Global medium-range weather forecasting is critical to decision-making across many social and economic domains. Traditional numerical weather prediction uses increased compute resources to improve forecast accuracy, but cannot directly use historical ...
Rémi R. Lam +17 more
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SwinRDM: Integrate SwinRNN with Diffusion Model towards High-Resolution and High-Quality Weather Forecasting [PDF]
AAAI Conference on Artificial Intelligence, 2023 Data-driven medium-range weather forecasting has attracted much attention in recent years. However, the forecasting accuracy at high resolution is unsatisfactory currently.
Lei Chen +4 more
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Prompt Federated Learning for Weather Forecasting: Toward Foundation Models on Meteorological Data [PDF]
International Joint Conference on Artificial Intelligence, 2023 To tackle the global climate challenge, it urgently needs to develop a collaborative platform for comprehensive weather forecasting on large-scale meteorological data.
Shen Chen +3 more
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