Michael Langguth's publications
Contribution to a conference proceedings/Contribution to a book
Applying AtmoRep for Diverse Weather Applications
NIC Symposium 2025 Proceedings
The 12th John von Neumann Institute for Computing (NIC) Symposium, JülichJülich, Germany, 6 Mar 2025 - 7 Mar 2025
52, 301- 311 (2025) [10.34734/FZJ-2025-02398]
Files
BibTeX |
EndNote:
XML,
Text |
RIS
Poster (After Call)
Downscaling with the foundation model AtmoRep
European Geosciences Union General Assembly 2024, EGU 2024, ViennaVienna, Austria, 14 Apr 2024 - 19 Apr 2024
[10.5194/egusphere-egu24-18331]
Files
BibTeX |
EndNote:
XML,
Text |
RIS
Poster (Other)
A Benchmark Dataset for Meteorological Downscaling
International Conference on Learning Representations, ICLR 2024, ViennaVienna, Austria, 7 May 2024 - 11 May 2024
[10.34734/FZJ-2024-07390]
Files
Fulltext
BibTeX |
EndNote:
XML,
Text |
RIS
Contribution to a conference proceedings
A Benchmark Dataset for Meteorological Downscaling
International Conference on Learning Representations, ICLR 2024, ViennaVienna, Austria, 7 May 2024 - 11 May 2024
N/A (2024) [10.34734/FZJ-2024-07378]
Files
Fulltext
BibTeX |
EndNote:
XML,
Text |
RIS
Poster (Other)
Applying the DestinE Extremes digital twin to air quality forecasts and emission scenario simulations
ECMWF DestinE Annual Meeting, BonnBonn, Germany, 11 Apr 2024 - 12 Apr 2024
BibTeX |
EndNote:
XML,
Text |
RIS
Poster (Other)
Applying the DestinE Extremes digital twin to air quality forecasts and emission scenario simulations
EGU General Assembly 2024, ViennaVienna, Austria, 14 Apr 2024 - 19 Apr 2024
[10.5194/egusphere-egu24-19153]
Files
BibTeX |
EndNote:
XML,
Text |
RIS
Journal Article
Deep learning models for generation of precipitation maps based on numerical weather prediction
Geoscientific model development 16(5), 1467 - 1480 (2023) [10.5194/gmd-16-1467-2023]
Files
BibTeX |
EndNote:
XML,
Text |
RIS
Poster (Other)
How can society benefit from the DestinE digital twins in view of air pollution extreme events?
nd Destination Earth User eXchange, BonnBonn, Germany, 13 Nov 2023 - 14 Nov 2023
BibTeX |
EndNote:
XML,
Text |
RIS
Journal Article
Temperature forecasting by deep learning methods
Geoscientific model development 15(23), 8931 - 8956 (2022) [10.5194/gmd-15-8931-2022]
Files
Fulltext by OpenAccess repository
BibTeX |
EndNote:
XML,
Text |
RIS
Book
Final report of the DeepRain project - Abschlußbericht des DeepRain Projektes
Jülich : Forschungszentrum Jülich GmbH Zentralbibliothek Verlag, Schriften des Forschungszentrums Jülich IAS Series 51, 77 p. (2022)
Files
Fulltext by OpenAccess repository
Fulltext by OpenAccess repository
BibTeX |
EndNote:
XML,
Text |
RIS
Poster (Other)
Stochastic downscaling of meteorological fields with deep neural networks
Living Planet Symposium 2022, LPS2022, BonnBonn, Germany, 23 May 2022 - 27 May 2022
Files
Fulltext by OpenAccess repository
BibTeX |
EndNote:
XML,
Text |
RIS
Journal Article
HPC-oriented Canonical Workflows for Machine Learning Applications in Climate and Weather Prediction
Data Intelligence 4(2), 271-285 (2022) [10.1162/dint_a_00131]
Files
Fulltext by OpenAccess repository
BibTeX |
EndNote:
XML,
Text |
RIS
Journal Article
Artificial intelligence for air quality
The project repository journal 12(1), 70 - 73 (2022) [10.54050/PRJ1218384]
Files
Fulltext by OpenAccess repository
BibTeX |
EndNote:
XML,
Text |
RIS
Contribution to a conference proceedings/Contribution to a book
JUWELS Booster – A Supercomputer for Large-Scale AI Research
High Performance Computing / Jagode, Heike (Editor)
ISC High Performance 2021, ISC21, DigitalDigital, Germany, 24 Jun 2021 - 2 Jul 2021
Lecture Notes in Computer Science 12761, 453 - 468 (2021) [10.1007/978-3-030-90539-2_31]
Files
Fulltext by OpenAccess repository
BibTeX |
EndNote:
XML,
Text |
RIS
Journal Article
Can deep learning beat numerical weather prediction?
Philosophical transactions of the Royal Society of London / A 379(2194), 20200097 (2021) [10.1098/rsta.2020.0097] special issue: "Machine learning for weather and climate modelling"
Files
Fulltext by OpenAccess repository
BibTeX |
EndNote:
XML,
Text |
RIS
Journal Article
Implementing the HYbrid MAss flux Convection Scheme (HYMACS) in ICON – First idealized tests and adaptions to the dynamical core for local mass sources
Quarterly journal of the Royal Meteorological Society 146(731), 2689 - 2716 (2020) [10.1002/qj.3812]
Files
BibTeX |
EndNote:
XML,
Text |
RIS