Results 11 to 20 of about 916,743 (316)
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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ClimaX: A foundation model for weather and climate [PDF]
International Conference on Machine Learning, 2023 Most state-of-the-art approaches for weather and climate modeling are based on physics-informed numerical models of the atmosphere. These approaches aim to model the non-linear dynamics and complex interactions between multiple variables, which are ...
Tung Nguyen +4 more
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WeatherBench 2: A Benchmark for the Next Generation of Data‐Driven Global Weather Models [PDF]
Journal of Advances in Modeling Earth Systems, 2023 WeatherBench 2 is an update to the global, medium‐range (1–14 days) weather forecasting benchmark proposed by (Rasp et al., 2020, https://doi.org/10.1029/2020ms002203), designed with the aim to accelerate progress in data‐driven weather modeling ...
S. Rasp +17 more
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Restoring Vision in Adverse Weather Conditions With Patch-Based Denoising Diffusion Models [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 Image restoration under adverse weather conditions has been of significant interest for various computer vision applications. Recent successful methods rely on the current progress in deep neural network architectural designs (e.g., with vision ...
Ozan Özdenizci, R. Legenstein
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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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Accurate medium-range global weather forecasting with 3D neural networks
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.
Kaifeng Bi +5 more
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Learning skillful medium-range global weather forecasting
Science, 2023 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 does not directly use historical ...
Remi Lam +17 more
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The operational medium-range deterministic weather forecasting can be extended beyond a 10-day lead time [PDF]
Communications Earth & Environment, 2023 Given the complexity of the atmospheric system, current numerical weather prediction models struggle with accurate forecasts. Here we present FengWu, an Artificial-Intelligence-driven global medium-range forecasting system employing multi-modal and multi-
Kan Chen +13 more
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TransWeather: Transformer-based Restoration of Images Degraded by Adverse Weather Conditions [PDF]
Computer Vision and Pattern Recognition, 2021 Removing adverse weather conditions like rain, fog, and snow from images is an important problem in many applications. Most methods proposed in the literature have been designed to deal with just removing one type of degradation.
Jeya Maria Jose Valanarasu +2 more
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Image-Adaptive YOLO for Object Detection in Adverse Weather Conditions [PDF]
AAAI Conference on Artificial Intelligence, 2021 Though deep learning-based object detection methods have achieved promising results on the conventional datasets, it is still challenging to locate objects from the low-quality images captured in adverse weather conditions.
Wenyu Liu +5 more
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