A Generative Super‐Resolution Model for Enhancing Tropical Cyclone Wind Field Intensity and Resolution

Joseph W. Lockwood, Avantika Gori, Pierre Gentine

Open source

DOI: 10.1029/2024jh000375
Published: 2024-11-20
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:10.1029/2024jh000375,
  title = {A Generative Super‐Resolution Model for Enhancing Tropical Cyclone Wind Field Intensity and Resolution},
  author = {Joseph W. Lockwood and Avantika Gori and Pierre Gentine},
  year = {2024},
  journal = {Journal of Geophysical Research: Machine Learning and Computation},
  doi = {10.1029/2024jh000375},
  url = {https://doi.org/10.1029/2024jh000375}
}

RIS

TY  - JOUR
TI  - A Generative Super‐Resolution Model for Enhancing Tropical Cyclone Wind Field Intensity and Resolution
AU  - Joseph W. Lockwood
AU  - Avantika Gori
AU  - Pierre Gentine
PY  - 2024
JO  - Journal of Geophysical Research: Machine Learning and Computation
DO  - 10.1029/2024jh000375
UR  - https://doi.org/10.1029/2024jh000375
ER  -

APA

Lockwood, J. W., Gori, A., & Gentine, P. (2024). A Generative Super‐Resolution Model for Enhancing Tropical Cyclone Wind Field Intensity and Resolution. Journal of Geophysical Research: Machine Learning and Computation. https://doi.org/10.1029/2024jh000375

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crossref · retrieved 2026-11-10T10:20:07.251Z