Efficient inference and learning of a generative model for ENSO predictions from large multi-model datasets

Andreas Groth, Erik Chavez

Open source

DOI: 10.1007/s00382-024-07162-w
Published: 2024-03-28
Container: Climate Dynamics
Publisher: Springer Science and Business Media LLC
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1007/s00382-024-07162-w,
  title = {Efficient inference and learning of a generative model for ENSO predictions from large multi-model datasets},
  author = {Andreas Groth and Erik Chavez},
  year = {2024},
  journal = {Climate Dynamics},
  doi = {10.1007/s00382-024-07162-w},
  url = {https://doi.org/10.1007/s00382-024-07162-w}
}

RIS

TY  - JOUR
TI  - Efficient inference and learning of a generative model for ENSO predictions from large multi-model datasets
AU  - Andreas Groth
AU  - Erik Chavez
PY  - 2024
JO  - Climate Dynamics
DO  - 10.1007/s00382-024-07162-w
UR  - https://doi.org/10.1007/s00382-024-07162-w
ER  -

APA

Groth, A., & Chavez, E. (2024). Efficient inference and learning of a generative model for ENSO predictions from large multi-model datasets. Climate Dynamics. https://doi.org/10.1007/s00382-024-07162-w

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crossref · retrieved 2026-09-25T14:01:44.205Z