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PreprintLicence not statedarXiv (Cornell University)

PhysMetrics.Weather: An Evaluation Framework for Physical Consistency in ML Weather Models

  • Emma Kasteleyn1,2
  • Timo Maier1,3
  • Axel Lauer1
  • Veronika Eyring1,4
  • Pierre Gentine5
  • Ana Lučić2
5 affiliations
  1. 1Deutsches Zentrum für Luft-und Raumfahrt (DLR) , Institut für Physik der Atmosphäre , Oberpfaffenhofen , Germany,
  2. 2University of Amsterdam , Amsterdam , The Netherlands,
  3. 3Technical University of Munich , Munich , Germany,
  4. 4University of Bremen , Institute of Environmental Physics (IUP) , Bremen , Germany,
  5. 5Department of Earth and Environmental Engineering , Columbia University , New York , NY , USA,
Open at sourcePDFDOICite

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Cite

BibTeXRIS
BibTeX
@misc{kasteleyn2026physmetricsweather,
  title = {{PhysMetrics.Weather: An Evaluation Framework for Physical Consistency in ML Weather Models}},
  author = {Emma Kasteleyn and Timo Maier and Axel Lauer and Veronika Eyring and Pierre Gentine and Ana Lučić},
  howpublished = {arXiv (Cornell University)},
  year = {2026},
  month = jun,
  doi = {10.48550/arxiv.2606.10642},
  url = {https://arxiv.org/abs/2606.10642},
}
RIS
TY  - UNPB
TI  - PhysMetrics.Weather: An Evaluation Framework for Physical Consistency in ML Weather Models
AU  - Emma Kasteleyn
AU  - Timo Maier
AU  - Axel Lauer
AU  - Veronika Eyring
AU  - Pierre Gentine
AU  - Ana Lučić
PY  - 2026
DA  - 2026/06/09
PB  - arXiv (Cornell University)
DO  - 10.48550/arxiv.2606.10642
UR  - https://arxiv.org/abs/2606.10642
SN  - 2331-8422
ER  -