Deep Learning for Day Forecasts from Sparse Observations

Deep Learning for Day Forecasts from Sparse Observations

6 June 2023

Marcin Andrychowicz

Samier Merchant

Alexander Merose

Nal Kalchbrenner

Papers citing "Deep Learning for Day Forecasts from Sparse Observations"

16 / 16 papers shown

Title
Score-based diffusion nowcasting of GOES imagery Randy J. Chase Katherine Haynes Lander Ver Hoef Imme Ebert-Uphoff DiffM 26 0 0 15 May 2025
Appa: Bending Weather Dynamics with Latent Diffusion Models for Global Data Assimilation Gérome Andry François Rozet Sacha Lewin Omer Rochman Victor Mangeleer Matthias Pirlet Elise Faulx Marilaure Grégoire Gilles Louppe AI4Cl 66 1 0 25 Apr 2025
Regional Weather Variable Predictions by Machine Learning with Near-Surface Observational and Atmospheric Numerical Data Yihe Zhang Bryce Turney Purushottam Sigdel Xu Yuan Eric Rappin ... Lu Peng Sercan Aygün Yazhou Tu M. H. Najafi N. Tzeng 75 1 0 11 Dec 2024
Multi-Source Temporal Attention Network for Precipitation Nowcasting Rafael Pablos-Sarabia Joachim Nyborg Morten Birk Jeppe Liborius Sjørup Anders Lillevang Vesterholt Ira Assent AI4Cl 30 0 0 11 Oct 2024
Prithvi WxC: Foundation Model for Weather and Climate J. Schmude Sujit Roy Will Trojak Johannes Jakubik Daniel Salles Civitarese ... Campbell Watson M. Maskey Tsengdar J Lee Juan Bernabé-Moreno Rahul Ramachandran VLM AI4Cl 42 10 0 20 Sep 2024
WeatherReal: A Benchmark Based on In-Situ Observations for Evaluating Weather Models Weixin Jin Jonathan A. Weyn Pengcheng Zhao Siqi Xiang Jiang Bian Zuliang Fang Haiyu Dong Hongyu Sun Kit Thambiratnam Qi Zhang 28 1 0 14 Sep 2024
Generative Data Assimilation of Sparse Weather Station Observations at Kilometer Scales Peter Manshausen Y. Cohen Jaideep Pathak Jaideep Pathak Piyush Garg Morteza Mardani K. Kashinath Simon Byrne Noah D. Brenowitz Noah Brenowitz 55 10 0 19 Jun 2024
Generalizing Weather Forecast to Fine-grained Temporal Scales via Physics-AI Hybrid Modeling Wanghan Xu Fenghua Ling Wenlong Zhang Tao Han Hao Chen Wanli Ouyang Lei Bai AI4CE 34 5 0 22 May 2024
Validating Deep Learning Weather Forecast Models on Recent High-Impact Extreme Events Olivier C. Pasche Jonathan Wider Zhongwei Zhang Jakob Zscheischler Sebastian Engelke AI4Cl 40 10 0 26 Apr 2024
Universal Physics Transformers: A Framework For Efficiently Scaling Neural Operators Benedikt Alkin Andreas Fürst Simon Schmid Lukas Gruber Markus Holzleitner Johannes Brandstetter PINN AI4CE 48 8 0 19 Feb 2024
DiffDA: a Diffusion Model for Weather-scale Data Assimilation Langwen Huang Lukas Gianinazzi Yuejiang Yu P. Dueben Torsten Hoefler 36 28 0 11 Jan 2024
Do AI models produce better weather forecasts than physics-based models? A quantitative evaluation case study of Storm Ciarán A. Charlton-Perez H. Dacre Simon Driscoll Suzanne L. Gray Ben Harvey ... Kieran M. R. Hunt Robert W. Lee Ranjini Swaminathan R. Vandaele Ambrogio Volonté AI4Cl 38 29 0 05 Dec 2023
WeatherBench 2: A benchmark for the next generation of data-driven global weather models S. Rasp Stephan Hoyer Alexander Merose I. Langmore Peter W. Battaglia ... Carla Bromberg Jared Sisk Luke Barrington Aaron Bell Fei Sha AI4Cl 43 107 0 29 Aug 2023
Inductive biases in deep learning models for weather prediction Jannik Thümmel Matthias Karlbauer S. Otte C. Zarfl Georg Martius ... Thomas Scholten Ulrich Friedrich V. Wulfmeyer B. Goswami Martin Volker Butz AI4CE 43 6 0 06 Apr 2023
MetNet: A Neural Weather Model for Precipitation Forecasting C. Sønderby L. Espeholt Jonathan Heek Mostafa Dehghani Avital Oliver Tim Salimans Shreya Agrawal Jason Hickey Nal Kalchbrenner AI4Cl 231 273 0 24 Mar 2020
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications Andrew G. Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand M. Andreetto Hartwig Adam 3DH 950 20,572 0 17 Apr 2017