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Weather forecasting is crucial for public safety, disaster prevention and mitigation, agricultural production, and energy management, with global relevance.
Pytorch: An imperative style, high-performance deep learning library, 2019
Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, Alban Desmaison, Andreas Köpf, Edward Yang, Zach DeVito, Martin Raison, Alykhan Tejani, Sasank Chilamkurthy, Benoit Steiner, Lu Fang, Junjie Bai, and Soumith Chintala · 1912
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The ecmwf ensemble prediction system: Methodology and validation
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Atmospheric Modeling, Data Assimilation and Predictability
Eugenia Kalnay · 2002
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The origins of computer weather prediction and climate modeling
Peter Lynch · 2007
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Learning from imbalanced data
Haibo He and Edwardo A Garcia · 2009
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Global assessment of trends in intensity and frequency of observed extreme precipitation events
Matteo G. Donat, L. V. Alexander, F. W. Zwiers, and P. D. Jones · 2013
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The quiet revolution of numerical weather prediction
Peter Bauer, Alan Thorpe, and Gilbert Brunet · 2015
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Weather forecasting using deep learning techniques
Afan Galih Salman, Bayu Kanigoro, and Yaya Heryadi · 2015
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Adam: A method for stochastic optimization, 2017
Diederik P. Kingma and Jimmy Ba · 2017
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Neural ordinary differential equations, 2019
Ricky T. Q. Chen, Yulia Rubanova, Jesse Bettencourt, and David Duvenaud · 2019
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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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Ddtcdr: Deep dual transfer cross domain recommendation
Pan Li and Alexander Tuzhilin · 2020
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Deep learning-based effective fine-grained weather forecasting model
Pradeep Hewage, Marcello Trovati, Ella Pereira, and Ardhendu Behera · 2021
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Climate modeling with neural diffusion equations
Jeehyun Hwang, Jeongwhan Choi, Hwangyong Choi, Kookjin Lee, Dongeun Lee, and Noseong Park · 2021
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Deep learning prediction of thunderstorm severity using remote sensing weather data
Yaseen Essa, Hugh G. P. Hunt, Morné Gijben, and Ritesh Ajoodha · 2022
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Graphcast: 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 · 2022
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Jaideep Pathak, Shashank Subramanian, Peter Harrington, Sanjeev Raja, Ashesh Chattopadhyay, Morteza Mardani, Thorsten Kurth, David Hall, Zongyi Li, Kamyar Azizzadenesheli, et al · 2022
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FEDformer: Frequency enhanced decomposed transformer for long-term series forecasting
Tian Zhou, Ziqing Ma, Qingsong Wen, Xue Wang, Liang Sun, and Rong Jin · 2022
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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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Tempo: Prompt-based generative pre-trained transformer for time series forecasting
Llm4ts: Aligning pre-trained llms as data-efficient time-series forecasters, 2024
Ching Chang, Wei-Yao Wang, Wen-Chih Peng, and Tien-Fu Chen · 2024
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Tslanet: Rethinking transformers for time series representation learning
Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen, Min Wu, and Xiaoli Li · 2024
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Prediff: Precipitation nowcasting with latent diffusion models
Zhihan Gao, Xingjian Shi, Boran Han, Hao Wang, Xiaoyong Jin, Danielle Maddix, Yi Zhu, Mu Li, and Yuyang Bernie Wang · 2024
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Cllmate: A multimodal llm for weather and climate events forecasting, 2024
Haobo Li, Zhaowei Wang, Jiachen Wang, Alexis Kai Hon Lau, and Huamin Qu · 2024
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Calf: Aligning llms for time series forecasting via cross-modal fine-tuning, 2024
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Defu Cao, Furong Jia, Sercan O Arik, Tomas Pfister, Yixiang Zheng, Wen Ye, and Yan Liu · 2023
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Llm4ts: Two-stage fine-tuning for time-series forecasting with pre-trained llms
Ching Chang, Wen-Chih Peng, and Tien-Fu Chen · 2023
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Fuxi: A cascade machine learning forecasting system for 15-day global weather forecast
Lei Chen, Xiaohui Zhong, Feng Zhang, Yuan Cheng, Yinghui Xu, Yuan Qi, and Hao Li · 2023
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Time-llm: Time series forecasting by reprogramming large language models
Ming Jin, Shiyu Wang, Lintao Ma, Zhixuan Chu, James Y Zhang, Xiaoming Shi, Pin-Yu Chen, Yuxuan Liang, Yuan-Fang Li, Shirui Pan, et al · 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
Cited alongside, same era.
Jussi Leinonen, Ulrich Hamann, Daniele Nerini, Urs Germann, and Gabriele Franch · 2023
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Climax: A foundation model for weather and climate
Tung Nguyen, Johannes Brandstetter, Ashish Kapoor, Jayesh K Gupta, and Aditya Grover · 2023
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Gencast: Diffusion-based ensemble forecasting for medium-range weather
Ilan Price, Alvaro Sanchez-Gonzalez, Ferran Alet, Tom R Andersson, Andrew El-Kadi, Dominic Masters, Timo Ewalds, Jacklynn Stott, Shakir Mohamed, Peter Battaglia, et al · 2023
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Peiyuan Liu, Hang Guo, Tao Dai, Naiqi Li, Jigang Bao, Xudong Ren, Yong Jiang, and Shu-Tao Xia · 2024
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Climatelearn: Benchmarking machine learning for weather and climate modeling
Tung Nguyen, Jason Jewik, Hritik Bansal, Prakhar Sharma, and Aditya Grover · 2024
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S 2 \textbf{S}^{2} ip-llm: Semantic space informed prompt learning with llm for time series forecasting
Zijie Pan, Yushan Jiang, Sahil Garg, Anderson Schneider, Yuriy Nevmyvaka, and Dongjin Song · 2024
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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 Russell, Alvaro Sanchez-Gonzalez, Vivian Yang, Rob Carver, Shreya Agrawal, et al · 2024
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Test: Text prototype aligned embedding to activate llm’s ability for time series, 2024
Chenxi Sun, Hongyan Li, Yaliang Li, and Shenda Hong · 2024
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Climode: Climate and weather forecasting with physics-informed neural odes
Yogesh Verma, Markus Heinonen, and Vikas Garg · 2024
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Xinlei Wang, Maike Feng, Jing Qiu, Jinjin Gu, and Junhua Zhao · 2024
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Exploring large language models for climate forecasting, 2024
Yang Wang and Hassan A. Karimi · 2024
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Fouriergnn: Rethinking multivariate time series forecasting from a pure graph perspective
Kun Yi, Qi Zhang, Wei Fan, Hui He, Liang Hu, Pengyang Wang, Ning An, Longbing Cao, and Zhendong Niu · 2024
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Probabilistic weather forecasting with machine learning
Ilan Price, Alvaro Sanchez-Gonzalez, Ferran Alet, Tom R Andersson, Andrew El-Kadi, Dominic Masters, Timo Ewalds, Jacklynn Stott, Shakir Mohamed, Peter Battaglia, et al · 2025
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