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Jonathan A. Weyn
Jonathan A. Weyn
Department of Atmospheric Sciences, University of Washington
Verified email at uw.edu - Homepage
Title
Cited by
Cited by
Year
WeatherBench: A Benchmark Data Set for Data‐Driven Weather Forecasting
S Rasp, PD Dueben, S Scher, JA Weyn, S Mouatadid, N Thuerey
Journal of Advances in Modeling Earth Systems 12 (11), e2020MS002203, 2020
3732020
Can Machines Learn to Predict Weather? Using Deep Learning to Predict Gridded 500‐hPa Geopotential Height From Historical Weather Data
JA Weyn, DR Durran, R Caruana
Journal of Advances in Modeling Earth Systems 11 (8), 2680-2693, 2019
2562019
Improving Data‐Driven Global Weather Prediction Using Deep Convolutional Neural Networks on a Cubed Sphere
JA Weyn, DR Durran, R Caruana
Journal of Advances in Modeling Earth Systems 12 (9), e2020MS002109, 2020
2522020
Sub‐seasonal forecasting with a large ensemble of deep‐learning weather prediction models
JA Weyn, DR Durran, R Caruana, N Cresswell‐Clay
Journal of Advances in Modeling Earth Systems 13 (7), e2021MS002502, 2021
1312021
Thunderstorms do not get butterflies
DR Durran, JA Weyn
Bulletin of the American Meteorological Society 97 (2), 237-243, 2016
882016
The dependence of the predictability of mesoscale convective systems on the horizontal scale and amplitude of initial errors in idealized simulations
JA Weyn, DR Durran
Journal of the Atmospheric Sciences 74 (7), 2191-2210, 2017
602017
Practical Considerations for Computing Dimensional Spectra from Gridded Data
D Durran, JA Weyn, MQ Menchaca
Monthly Weather Review 145 (9), 3901-3910, 2017
362017
The scale dependence of initial‐condition sensitivities in simulations of convective systems over the southeastern United States
JA Weyn, DR Durran
Quarterly Journal of the Royal Meteorological Society 145, 57-74, 2019
272019
MS-nowcasting: Operational Precipitation Nowcasting with Convolutional LSTMs at Microsoft Weather
S Klocek, H Dong, M Dixon, P Kanengoni, N Kazmi, P Luferenko, Z Lv, ...
arXiv preprint arXiv:2111.09954, 2021
222021
Ensemble Spread Grows More Rapidly in Higher-Resolution Simulations of Deep Convection
JA Weyn, DR Durran
Journal of the Atmospheric Sciences 75 (10), 3331-3345, 2018
182018
Sub-seasonal Forecasting Using Large Ensembles of Data-driven Global Weather Prediction Models
J Weyn-Vanhentenryck
University of Washington, 2020
32020
Operational precipitation nowcasting with convolutional LSTMs at Microsoft Weather
J Weyn, LM Bharatula, CM Chan, M Dixon, H Dong, V Grebennikov, ...
AGU Fall Meeting 2021, 2021
2021
Sub-Seasonal Prediction With A Global Deep-Learning Weather Prediction Model
DR Durran, J Weyn, R Caruana
AGU Fall Meeting Abstracts 2020, A073-03, 2020
2020
Deep learning for weather prediction: Forecasting globally-gridded 500-hPa geopotential heights on short-to medium-range time scales
JA Weyn, DR Durran, R Caruana
100th American Meteorological Society Annual Meeting, 2020
2020
Deep learning forecasts of gridded 500-hPa geopotential heights on short-range to seasonal time scales
J Weyn, DR Durran, R Caruana
AGU Fall Meeting Abstracts 2019, A43E-08, 2019
2019
Upscale and Downscale Error Growth
D Durran, J Weyn, M Gingrich
2017
SUPPLEMENT: THUNDERSTORMS DO NOT GET BUTTERFLIES
DR Durran, JA Weyn
Bulletin of the American Meteorological Society 97 (2), ES15-ES17, 2016
2016
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