publications

2026

1. arXiv

   

   Bridging the Gap Between Climate Science and Machine Learning in Climate Model Emulation

   Luca Schmidt^* and Nina Effenberger^*

   arXiv preprint , Mar 2026

   DOI Bib HTML

   @misc{schmidt2026bridging,
     title = {Bridging the Gap Between Climate Science and Machine Learning in Climate Model Emulation},
     author = {Schmidt, Luca and Effenberger, Nina},
     year = {2026},
     month = mar,
     archiveprefix = {arXiv},
     primaryclass = {cs.LG},
     doi = {10.48550/arXiv.2603.22320},
   }

2. Sci. Rep.

   

   Benchmarking the geographic generalization of deep learning models for precipitation downscaling

   Paula Harder^*, Luca Schmidt^*, Francis Pelletier, and 5 more authors

   Scientific Reports, Jan 2026

   DOI Bib HTML

   @article{harder2026benchmarking,
     title = {Benchmarking the geographic generalization of deep learning models for precipitation downscaling},
     author = {Harder, Paula and Schmidt, Luca and Pelletier, Francis and Ludwig, Nicole and Chantry, Matthew and Lessig, Christian and Hernandez-Garcia, Alex and Rolnick, David},
     journal = {Scientific Reports},
     volume = {16},
     number = {1},
     pages = {3733},
     year = {2026},
     month = jan,
     publisher = {Springer Science and Business Media {LLC}},
     doi = {10.1038/s41598-025-34557-4},
   }

2025

1. npj CAS

   

   A Generative Framework for Probabilistic, Spatiotemporally Coherent Downscaling of Climate Simulation

   Jonathan Schmidt, Luca Schmidt, Felix M. Strnad, and 2 more authors

   npj Climate and Atmospheric Science, Jul 2025

   DOI Bib HTML

   @article{schmidt2025generative,
     title = {A Generative Framework for Probabilistic, Spatiotemporally Coherent Downscaling of Climate Simulation},
     author = {Schmidt, Jonathan and Schmidt, Luca and Strnad, Felix M. and Ludwig, Nicole and Hennig, Philipp},
     journal = {npj Climate and Atmospheric Science},
     volume = {8},
     number = {1},
     pages = {270},
     year = {2025},
     month = jul,
     publisher = {Springer Science and Business Media {LLC}},
     doi = {10.1038/s41612-025-01157-y},
   }

2. ERL

   

   Climate data selection for multi-decadal wind power forecasts

   Sofia Morelli^*, Nina Effenberger^*, Luca Schmidt^*, and 1 more author

   Environmental Research Letters, 2025

   DOI Bib HTML

   @article{morelli2025climate,
     title = {Climate data selection for multi-decadal wind power forecasts},
     author = {Morelli, Sofia and Effenberger, Nina and Schmidt, Luca and Ludwig, Nicole},
     journal = {Environmental Research Letters},
     volume = {20},
     number = {4},
     pages = {044032},
     year = {2025},
     publisher = {IOP Publishing},
     doi = {10.1088/1748-9326/adc01f},
   }

2024

1. arXiv

   

   Wind Power Assessment based on Super-Resolution and Downscaling – A Comparison of Deep Learning Methods

   Luca Schmidt and Nicole Ludwig

   Jul 2024

   arXiv preprint

   DOI Bib HTML

   @misc{schmidt2024windpower,
     title = {Wind Power Assessment based on Super-Resolution and Downscaling -- A Comparison of Deep Learning Methods},
     author = {Schmidt, Luca and Ludwig, Nicole},
     year = {2024},
     month = jul,
     archiveprefix = {arXiv},
     primaryclass = {stat.AP},
     doi = {10.48550/arXiv.2407.08259},
     note = {arXiv preprint}
   }