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Kai Jeggle
Kai Jeggle
PhD Candidate, ETH Zurich
Geverifieerd e-mailadres voor env.ethz.ch
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ClimateBench v1. 0: A benchmark for data‐driven climate projections
D Watson‐Parris, Y Rao, D Olivié, Ø Seland, P Nowack, G Camps‐Valls, ...
Journal of Advances in Modeling Earth Systems 14 (10), e2021MS002954, 2022
362022
Understanding cirrus clouds using explainable machine learning
K Jeggle, D Neubauer, G Camps-Valls, U Lohmann
Environmental Data Science 2, e19, 2023
22023
ClimateBench: A benchmark dataset for data-driven climate projections
D Watson-Parris, Y Rao, D Olivié, Ø Seland, PJ Nowack, G Camps-Valls, ...
Authorea Preprints, 2022
22022
IceCloudNet: 3D reconstruction of cloud ice from Meteosat SEVIRI input
K Jeggle, M Czerkawski, F Serva, B Le Saux, D Neubauer, U Lohmann
EGU24, 2024
2024
IceCloudNet: Cirrus and mixed-phase cloud prediction from SEVIRI input learned from sparse supervision
K Jeggle, M Czerkawski, F Serva, BL Saux, D Neubauer, U Lohmann
arXiv preprint arXiv:2310.03499, 2023
2023
Identification of cirrus formation regimes using cluster analysis of back trajectories and satellite data
K Jeggle, D Neubauer, U Lohmann
EGU General Assembly Conference Abstracts, EGU-5002, 2023
2023
Scalable Hyperparameter Optimization: Combining Asynchronous Bayesian Optimization With Efficient Budget Allocation
K Jeggle
2020
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Artikelen 1–7