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Kilometer-scale modeling of global atmosphere dynamics enables fine-grained weather forecasting and decreases the risk of disastrous weather and climate activity.
Numerical integration of the barotropic vorticity equation
Jules G Charney, Ragnar Fjörtoft, and J von Neumann · 1950
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Connection between the large-scale 500 hpa geopotential height fields and precipitation over greece during wintertime
Eleni Xoplaki, Jürg Luterbacher, Reto Burkard, Ioannis Patrikas, and Panagiotis Maheras · 2000
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Persistence and periodicity in the precipitation series of turkey and associations with 500 hpa geopotential heights
Murat Türkes, UM Sümer, and G Kiliç · 2002
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The benefit of high-resolution operational weather forecasts for flash flood warning
Jalal Younis, Sandrine Anquetin, and J Thielen · 2008
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The origins of computer weather prediction and climate modeling
Peter Lynch · 2008
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A new equitable score suitable for verifying precipitation in numerical weather prediction
Mark J Rodwell, David S Richardson, Tim D Hewson, and Thomas Haiden · 2010
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Efficient estimation of word representations in vector space
Tomas Mikolov, Kai Chen, Greg Corrado, and Jeffrey Dean · 2013
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North atlantic storm-track sensitivity to warming increases with model resolution
Jeff Willison, Walter A Robinson, and Gary M Lackmann · 2015
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Understanding, modeling and predicting weather and climate extremes: Challenges and opportunities
Jana Sillmann, Thordis Thorarinsdottir, Noel Keenlyside, Nathalie Schaller, Lisa V Alexander, Gabriele Hegerl, Sonia I Seneviratne, Robert Vautard, Xuebin Zhang, and Francis W Zwiers · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
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The benefits of global high resolution for climate simulation: process understanding and the enabling of stakeholder decisions at the regional scale
MJ Roberts, PL Vidale, C Senior, HT Hewitt, C Bates, S Berthou, P Chang, HM Christensen, S Danilov, M-E Demory, et al · 2018
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A synergistic use of a high-resolution numerical weather prediction model and high-resolution earth observation products to improve precipitation forecast
Martina Lagasio, Antonio Parodi, Luca Pulvirenti, Agostino N Meroni, Giorgio Boni, Nazzareno Pierdicca, Frank S Marzano, Lorenzo Luini, Giovanna Venuti, Eugenio Realini, et al · 2019
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The benefits of increasing resolution in global and regional climate simulations for european climate extremes
Carley E Iles, Robert Vautard, Jane Strachan, Sylvie Joussaume, Bernd R Eggen, and Chris D Hewitt · 2020
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Learning mesh-based simulation with graph networks
Tobias Pfaff, Meire Fortunato, Alvaro Sanchez-Gonzalez, and Peter W Battaglia · 2020
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Learning to simulate complex physics with graph networks
Alvaro Sanchez-Gonzalez, Jonathan Godwin, Tobias Pfaff, Rex Ying, Jure Leskovec, and Peter Battaglia · 2020
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Language models are few-shot learners
Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, et al · 2020
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An image is worth 16x16 words: Transformers for image recognition at scale
Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, et al · 2020
Accurate medium-range global weather forecasting with 3d neural networks
Kaifeng Bi, Lingxi Xie, Hengheng Zhang, Xin Chen, Xiaotao Gu, and Qi Tian · 2023
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Learning skillful medium-range global weather forecasting
Remi Lam, Alvaro Sanchez-Gonzalez, Matthew Willson, Peter Wirnsberger, Meire Fortunato, Ferran Alet, Suman Ravuri, Timo Ewalds, Zach Eaton-Rosen, Weihua Hu, et al · 2023
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Neural general circulation models
Dmitrii Kochkov, Janni Yuval, Ian Langmore, Peter Norgaard, Jamie Smith, Griffin Mooers, James Lottes, Stephan Rasp, Peter Düben, Milan Klöwer, et al · 2023
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Fourcastnet: Accelerating global high-resolution weather forecasting using adaptive fourier neural operators
Thorsten Kurth, Shashank Subramanian, Peter Harrington, Jaideep Pathak, Morteza Mardani, David Hall, Andrea Miele, Karthik Kashinath, and Anima Anandkumar · 2023
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Ifs upgrade brings many improvements and unifies medium-range resolutions, 07/2023 2023
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The era5 global reanalysis
Hans Hersbach, Bill Bell, Paul Berrisford, Shoji Hirahara, András Horányi, Joaquín Muñoz-Sabater, Julien Nicolas, Carole Peubey, Raluca Radu, Dinand Schepers, et al · 2020
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Downscaling ssp-consistent global spatial urban land projections from 1/8-degree to 1-km resolution 2000–2100
Jing Gao and Martino Pesaresi · 2021
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Train short, test long: Attention with linear biases enables input length extrapolation
Ofir Press, Noah A Smith, and Mike Lewis · 2021
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Lora: Low-rank adaptation of large language models
Edward J Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen · 2021
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Forecasting global weather with graph neural networks
Ryan Keisler · 2022
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A survey on vision transformer
Kai Han, Yunhe Wang, Hanting Chen, Xinghao Chen, Jianyuan Guo, Zhenhua Liu, Yehui Tang, An Xiao, Chunjing Xu, Yixing Xu, et al · 2022
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A length-extrapolatable transformer
Yutao Sun, Li Dong, Barun Patra, Shuming Ma, Shaohan Huang, Alon Benhaim, Vishrav Chaudhary, Xia Song, and Furu Wei · 2022
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Simon Lang, Mark Rodwell, and Dinand Schepers · 2023
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The rise of data-driven weather forecasting
Zied Ben-Bouallegue, Mariana CA Clare, Linus Magnusson, Estibaliz Gascon, Michael Maier-Gerber, Martin Janousek, Mark Rodwell, Florian Pinault, Jesper S Dramsch, Simon TK Lang, et al · 2023
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Weatherbench 2: A benchmark for the next generation of data-driven global weather models
Stephan Rasp, Stephan Hoyer, Alexander Merose, Ian Langmore, Peter Battaglia, Tyler Russel, Alvaro Sanchez-Gonzalez, Vivian Yang, Rob Carver, Shreya Agrawal, et al · 2023
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Gencast: Diffusion-based ensemble forecasting for medium-range weather
Ilan Price, Alvaro Sanchez-Gonzalez, Ferran Alet, Timo Ewalds, Andrew El-Kadi, Jacklynn Stott, Shakir Mohamed, Peter Battaglia, Remi Lam, and Matthew Willson · 2023
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Haotian Liu, Chunyuan Li, Qingyang Wu, and Yong Jae Lee · 2023
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Llama: Open and efficient foundation language models
Hugo Touvron, Thibaut Lavril, Gautier Izacard, Xavier Martinet, Marie-Anne Lachaux, Timothée Lacroix, Baptiste Rozière, Naman Goyal, Eric Hambro, Faisal Azhar, et al · 2023
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Diffusion model-based probabilistic downscaling for 180-year east asian climate reconstruction
Jing-Jia Luo, Fenghua Ling, Zeyu Lu, Lei Bai, Swadhin Behera, Dachao Jin, Baoxiang Pan, Huidong Jiang, and Toshio Yamagata · 2024
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Roformer: Enhanced transformer with rotary position embedding
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