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Peer-reviewedLicence not statedArtificial Intelligence for the Earth Systems

Atmospheric Predictability beyond 30 Days with Machine Learning

  • P. Trent Vonich1,2
  • Gregory J. Hakim2
  1. 1Air Force Institute of Technology, Wright-Patterson Air Force Base, Ohio
  2. 2University of Washington, Seattle, Washington
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Cite

BibTeXRIS
BibTeX
@article{vonich2026atmospheric,
  title = {{Atmospheric Predictability beyond 30 Days with Machine Learning}},
  author = {P. Trent Vonich and Gregory J. Hakim},
  journal = {Artificial Intelligence for the Earth Systems},
  year = {2026},
  month = jun,
  doi = {10.1175/aies-d-26-0009.1},
  url = {https://arxiv.org/abs/2504.20238},
}
RIS
TY  - JOUR
TI  - Atmospheric Predictability beyond 30 Days with Machine Learning
AU  - P. Trent Vonich
AU  - Gregory J. Hakim
PY  - 2026
DA  - 2026/06/03
JO  - Artificial Intelligence for the Earth Systems
DO  - 10.1175/aies-d-26-0009.1
UR  - https://arxiv.org/abs/2504.20238
SN  - 2769-7525
ER  -