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Over the past year, data-driven global weather forecasting has emerged as a new alternative to traditional numerical weather prediction.
“An Examination of Tropical Cyclone Position, Intensity, and Intensity Life Cycle within Atmospheric Reanalysis Datasets”
Benjamin. Schenkel and Robert. Hart · 2012
Earlier work this paper cites.
“An Evaluation of Tropical Cyclone Genesis Forecasts from Global Numerical Models”
Daniel. Halperin, Henry. Fuelberg, Robert. Hart, Joshua. Cossuth, Philip Sura and Richard. Pasch · 2013
Earlier work this paper cites.
“Efficient spherical harmonic transforms aimed at pseudospectral numerical simulations”
Nathanaël Schaeffer · 2013
Earlier work this paper cites.
“U-Net: Convolutional Networks for Biomedical Image Segmentation”
Olaf Ronneberger, Philipp Fischer and Thomas Brox · 2015
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“The Numerics of Physical Parametrization in the ECMWF Model”
Anton Beljaars et al · 2018
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“Which Training Methods for GANs do actually Converge?”
Lars. Mescheder, Andreas Geiger and Sebastian Nowozin · 2018
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“Spectral Normalization for Generative Adversarial Networks”
Takeru Miyato, Toshiki Kataoka, Masanori Koyama and Yuichi Yoshida · 2018
Earlier work this paper cites.
“GPM IMERG Final Precipitation L3 Half Hourly 0.1 degree x 0.1 degree V06”
G.J. Huffman, E.F. Stocker, D.T. Bolvin, E.J. Nelkin and Jackson Tan · 2019
Earlier work this paper cites.
“GPM IMERG Late Precipitation L3 Half Hourly 0.1 degree x 0.1 degree V06”
G.J. Huffman, E.F. Stocker, D.T. Bolvin, E.J. Nelkin and Jackson Tan · 2019
Cited alongside, same era.
“Can Machines Learn to Predict Weather? Using Deep Learning to Predict Gridded 500-hPa Geopotential Height From Historical Weather Data”
Jonathan. Weyn, Dale. Durran and Rich Caruana · 2019
Cited alongside, same era.
“Swin Transformer: Hierarchical Vision Transformer using Shifted Windows”
Z. Liu, Y. Lin, Y. Cao, H. Hu, Y. Wei, Z. Zhang, S. Lin and B. Guo · 2021
Cited alongside, same era.
“Sifting Convolution on the Sphere”
Patrick. Roddy and Jason. McEwen · 2021
Cited alongside, same era.
“ViTGAN: Training GANs with Vision Transformers”
Kwonjoon Lee, Huiwen Chang, Lu Jiang, Han Zhang, Zhuowen Tu and Ce Liu · 2022
Cited alongside, same era.
“StyleSwin: Transformer-Based GAN for High-Resolution Image Generation”
“FengWu: Pushing the Skillful Global Medium-range Weather Forecast beyond 10 Days Lead”, 2023
Kang Chen et al · 2023
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“FuXi: A cascade machine learning forecasting system for 15-day global weather forecast”, 2023
Lei Chen, Xiaohui Zhong, Feng Zhang, Yuan Cheng, Yinghui Xu, Yuan Qi and Hao Li · 2023
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“Transformer-based Generative Adversarial Networks in Computer Vision: A Comprehensive Survey”, 2023
Shiv Dubey and Satish Singh · 2023
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“IFS Documentation CY48R1 - Part III: Dynamics and Numerical Procedures”
ECMWF · 2023
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“FourCastNet: Accelerating Global High-Resolution Weather Forecasting Using Adaptive Fourier Neural Operators”
Thorsten Kurth et al · 2023
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Bowen Zhang, Shuyang Gu, Bo Zhang, Jianmin Bao, Dong Chen, Fang Wen, Yong Wang and Baining Guo · 2022
Cited alongside, same era.
“Accurate medium-range global weather forecasting with 3D neural networks”
Kaifeng Bi, Lingxi Xie, Hengheng Zhang, Xin Chen, Xiaotao Gu and Qi Tian · 2023
Cited alongside, same era.
Closest in time.
“Learning skillful medium-range global weather forecasting”
Remi Lam et al · 2023
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“The ERA5 global reanalysis”
Hans Hersbach et al · 2049
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