Fine‐Tuning a Weather Foundation Model With Lightweight Decoders for Unseen Physical Processes

Fanny Lehmann, Firat Ozdemir, Benedikt Soja, Torsten Hoefler, Siddhartha Mishra, Sebastian Schemm

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DOI: 10.1029/2025jh000837
Published: 2026-07-23
Container: Journal of Geophysical Research: Machine Learning and Computation
Publisher: American Geophysical Union (AGU)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1029/2025jh000837,
  title = {Fine‐Tuning a Weather Foundation Model With Lightweight Decoders for Unseen Physical Processes},
  author = {Fanny Lehmann and Firat Ozdemir and Benedikt Soja and Torsten Hoefler and Siddhartha Mishra and Sebastian Schemm},
  year = {2026},
  journal = {Journal of Geophysical Research: Machine Learning and Computation},
  doi = {10.1029/2025jh000837},
  url = {https://doi.org/10.1029/2025jh000837}
}

RIS

TY  - JOUR
TI  - Fine‐Tuning a Weather Foundation Model With Lightweight Decoders for Unseen Physical Processes
AU  - Fanny Lehmann
AU  - Firat Ozdemir
AU  - Benedikt Soja
AU  - Torsten Hoefler
AU  - Siddhartha Mishra
AU  - Sebastian Schemm
PY  - 2026
JO  - Journal of Geophysical Research: Machine Learning and Computation
DO  - 10.1029/2025jh000837
UR  - https://doi.org/10.1029/2025jh000837
ER  -

APA

Lehmann, F., Ozdemir, F., Soja, B., Hoefler, T., Mishra, S., & Schemm, S. (2026). Fine‐Tuning a Weather Foundation Model With Lightweight Decoders for Unseen Physical Processes. Journal of Geophysical Research: Machine Learning and Computation. https://doi.org/10.1029/2025jh000837

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crossref · retrieved 2026-09-25T14:38:47.154Z