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Arthur Grundner
Arthur Grundner
PhD Student, DLR
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Deep Learning Based Cloud Cover Parameterization for ICON
A Grundner, T Beucler, F Iglesias-Suarez, P Gentine, MA Giorgetta, ...
Journal of Advances in Modeling Earth Systems (JAMES), 2022
162022
Data-driven equation discovery of a cloud cover parameterization
A Grundner, T Beucler, P Gentine, V Eyring
arXiv preprint arXiv:2304.08063, 2023
82023
Machine Learning for Hidden Physics and Partial Differential Equations. 2018
A Ratnani, K Harsha, A Grundner, K Wang
URL: https://github. com/ratnania/mlhiphy, 0
2
Data‐driven equation discovery of a cloud cover parameterization
A Grundner, T Beucler, P Gentine, V Eyring
Journal of Advances in Modeling Earth Systems 16 (3), e2023MS003763, 2024
12024
Systematically generating hierarchies of machine-learning models, from equation discovery to deep neural networks (core science keynote)
TG Beucler, A Grundner, R Lagerquist, S Shamekh
103rd AMS Annual Meeting, 2023
12023
Machine Learning-Based Causally Informed Atmospheric Parametrizations for Climate Models
V Eyring, A Grundner, F Iglesias-Suarez, T Beucler, P Gentine, GA Marco, ...
AGU Fall Meeting Abstracts 2022, NG16A-03, 2022
12022
Data-Driven Cloud Cover Parameterizations for the ICON Earth System Model Using Deep Learning and Symbolic Regression
A Grundner
Staats-und Universitätsbibliothek Bremen, 2023
2023
ML developments for ICON and Evaluation with ESMValTool
M Schwabe, P Bonnet, A Grundner, M Schlund, V Eyring
2023
Data-Driven Cloud Cover Parameterizations
A Grundner, T Beucler, P Gentine, MA Giorgetta, F Iglesias-Suarez, ...
EGU General Assembly Conference Abstracts, EGU-6306, 2023
2023
Machine learning-based parametrizations for the ICON model
F Iglesias-Suarez, A Grundner, G Behrens, T Beucler, P Gentine, G Marco, ...
AGU Fall Meeting Abstracts 2021, A14C-04, 2021
2021
Parameter Estimation with Gaussian Processes
K Harsha, A Grundner, K Wang
2018
TUM-DI-LAB Report
K Harsha, A Grundner, K Wang
2018
HOL Foundations
A Grundner
2018
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학술자료 1–13