Articles with public access mandates - Michael LangguthLearn more
Available somewhere: 10
Can deep learning beat numerical weather prediction?
MG Schultz, C Betancourt, B Gong, F Kleinert, M Langguth, LH Leufen, ...
Philosophical Transactions of the Royal Society A 379 (2194), 20200097, 2021
Mandates: Helmholtz Association, European Commission, Federal Ministry of Education …
Temperature forecasting by deep learning methods
B Gong, M Langguth, Y Ji, A Mozaffari, S Stadtler, K Mache, MG Schultz
Geoscientific model development 15 (23), 8931-8956, 2022
Mandates: Helmholtz Association, European Commission, Federal Ministry of Education …
Juwels booster–a supercomputer for large-scale ai research
S Kesselheim, A Herten, K Krajsek, J Ebert, J Jitsev, M Cherti, M Langguth, ...
High Performance Computing: ISC High Performance Digital 2021 International …, 2021
Mandates: Helmholtz Association, European Commission, Federal Ministry of Education …
CLGAN: a generative adversarial network (GAN)-based video prediction model for precipitation nowcasting
Y Ji, B Gong, M Langguth, A Mozaffari, X Zhi
Geoscientific Model Development 16 (10), 2737-2752, 2023
Mandates: European Commission, Federal Ministry of Education and Research, Germany
Deep learning models for generation of precipitation maps based on numerical weather prediction
A Rojas-Campos, M Langguth, M Wittenbrink, G Pipa
Geoscientific Model Development 16 (5), 1467-1480, 2023
Mandates: Federal Ministry of Education and Research, Germany
HPC-oriented canonical workflows for machine learning applications in climate and weather prediction
A Mozaffari, M Langguth, B Gong, J Ahring, AR Campos, P Nieters, ...
Data Intelligence 4 (2), 271-285, 2022
Mandates: Federal Ministry of Education and Research, Germany
CLGAN: A GAN-based video prediction model for precipitation nowcasting
Y Ji, B Gong, M Langguth, A Mozaffari, X Zhi
EGUsphere 2022, 1-23, 2022
Mandates: European Commission, Federal Ministry of Education and Research, Germany
Deep learning models for generation of precipitation maps based on Numerical Weather Prediction
A Rojas-Campos, M Langguth, M Wittenbrink, G Pipa
EGUsphere 2022, 1-20, 2022
Mandates: Federal Ministry of Education and Research, Germany
Stochastic downscaling of the 2m temperature with a generative adversarial network (GAN)
M Langguth, B Gong, Y Ji, M Amirpasha, K Mache, MG Schultz
EGU22, 2022
Mandates: European Commission, Federal Ministry of Education and Research, Germany
Deep Learning for weather forecasts
Y Ji, B GONG, M LANGGUTH, A MOZAFARRI, K MACHE, M SCHULTZ
Second Symposium on Artificial Intelligence for Science, Industry and Society, 2021
Mandates: European Commission, Federal Ministry of Education and Research, Germany
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