Assessing the risk of future Dunkelflaute events for Germany using generative deep learning

Felix Strnad, Jonathan Schmidt, Fabian Mockert, Philipp Hennig, Nicole Ludwig

Open source

DOI: 10.1017/eds.2026.10038
Published: 2026
Container: Environmental Data Science
Publisher: Cambridge University Press (CUP)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1017/eds.2026.10038,
  title = {Assessing the risk of future Dunkelflaute events for Germany using generative deep learning},
  author = {Felix Strnad and Jonathan Schmidt and Fabian Mockert and Philipp Hennig and Nicole Ludwig},
  year = {2026},
  journal = {Environmental Data Science},
  doi = {10.1017/eds.2026.10038},
  url = {https://doi.org/10.1017/eds.2026.10038}
}

RIS

TY  - JOUR
TI  - Assessing the risk of future Dunkelflaute events for Germany using generative deep learning
AU  - Felix Strnad
AU  - Jonathan Schmidt
AU  - Fabian Mockert
AU  - Philipp Hennig
AU  - Nicole Ludwig
PY  - 2026
JO  - Environmental Data Science
DO  - 10.1017/eds.2026.10038
UR  - https://doi.org/10.1017/eds.2026.10038
ER  -

APA

Strnad, F., Schmidt, J., Mockert, F., Hennig, P., & Ludwig, N. (2026). Assessing the risk of future Dunkelflaute events for Germany using generative deep learning. Environmental Data Science. https://doi.org/10.1017/eds.2026.10038

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crossref · retrieved 2026-09-26T12:18:32.306Z