Jonathan A. Weyn

According to our database, Jonathan A. Weyn authored at least 9 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

OMG-HD: A High-Resolution AI Weather Model for End-to-End Forecasts from Observations.

Pengcheng Zhao, Jiang Bian, Zekun Ni, Weixin Jin, Jonathan A. Weyn, Zuliang Fang, Siqi Xiang, Haiyu Dong, Bin Zhang, Hongyu Sun, Kit Thambiratnam, Qi Zhang

CoRR, 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

CoRR, 2024

Aurora: A Foundation Model of the Atmosphere.

Cristian Bodnar, Wessel P. Bruinsma, Ana Lucic, Megan Stanley, Johannes Brandstetter, Patrick Garvan, Maik Riechert, Jonathan A. Weyn, Haiyu Dong, Anna Vaughan, Jayesh K. Gupta, Kit Thambiratnam, Alex Archibald, Elizabeth Heider, Max Welling, Richard E. Turner, Paris Perdikaris

CoRR, 2024

An ensemble of data-driven weather prediction models for operational sub-seasonal forecasting.

Jonathan A. Weyn, Divya Kumar, Jeremy Berman, Najeeb Kazmi, Sylwester Klocek, Pete Luferenko, Kit Thambiratnam

CoRR, 2024

2023

DeepSpeed4Science Initiative: Enabling Large-Scale Scientific Discovery through Sophisticated AI System Technologies.

Shuaiwen Leon Song, Bonnie Kruft, Minjia Zhang, Conglong Li, Shiyang Chen, Chengming Zhang, Masahiro Tanaka, Xiaoxia Wu, Jeff Rasley, Ammar Ahmad Awan, Connor Holmes, Martin Cai, Adam Ghanem, Zhongzhu Zhou, Yuxiong He, Pete Luferenko, Divya Kumar, Jonathan A. Weyn, Ruixiong Zhang, Sylwester Klocek, Volodymyr Vragov, Mohammed AlQuraishi, Gustaf Ahdritz, Christina Floristean, Cristina Negri, Rao Kotamarthi, Venkatram Vishwanath, Arvind Ramanathan, Sam Foreman, Kyle Hippe, Troy Arcomano, Romit Maulik, Maxim Zvyagin, Alexander Brace, Bin Zhang, Cindy Orozco Bohorquez, Austin Clyde, Bharat Kale, Danilo Perez-Rivera, Heng Ma, Carla M. Mann, Michael W. Irvin, J. Gregory Pauloski, Logan T. Ward, Valérie Hayot-Sasson, Murali Emani, Zhen Xie, Diangen Lin, Maulik Shukla, Ian T. Foster, James J. Davis, Michael E. Papka, Thomas S. Brettin, Prasanna Balaprakash, Gina Tourassi, John Gounley, Heidi A. Hanson, Thomas E. Potok, Massimiliano Lupo Pasini, Kate Evans, Dan Lu, Dalton D. Lunga, Junqi Yin, Sajal Dash, Feiyi Wang, Mallikarjun Shankar, Isaac Lyngaas, Xiao Wang, Guojing Cong, Pei Zhang, Ming Fan, Siyan Liu, Adolfy Hoisie, Shinjae Yoo, Yihui Ren, William Tang, Kyle Felker, Alexey Svyatkovskiy, Hang Liu, Ashwin M. Aji, Angela Dalton, Michael J. Schulte, Karl Schulz, Yuntian Deng, Weili Nie, Josh Romero, Christian Dallago, Arash Vahdat, Chaowei Xiao, Thomas Gibbs, Anima Anandkumar, Rick Stevens

CoRR, 2023

2022

Super-resolution Probabilistic Rain Prediction from Satellite Data Using 3D U-Nets and EarthFormers.

Yang Li, Haiyu Dong, Zuliang Fang, Jonathan A. Weyn, Pete Luferenko

CoRR, 2022

2021

MS-nowcasting: Operational Precipitation Nowcasting with Convolutional LSTMs at Microsoft Weather.

Sylwester Klocek, Haiyu Dong, Matthew Dixon, Panashe Kanengoni, Najeeb Kazmi, Pete Luferenko, Zhongjian Lv, Shikhar Sharma, Jonathan A. Weyn, Siqi Xiang

CoRR, 2021

Sub-seasonal forecasting with a large ensemble of deep-learning weather prediction models.

Jonathan A. Weyn, Dale R. Durran, Rich Caruana, Nathaniel Cresswell-Clay

CoRR, 2021

2020

Improving data-driven global weather prediction using deep convolutional neural networks on a cubed sphere.

Jonathan A. Weyn, Dale R. Durran, Rich Caruana

CoRR, 2020