Physics-based data augmentation to enhance deep learning performance in tropical cyclone and storm surge modelling

Takumu Iwamoto, Tomohiro Takagawa

Open source

DOI: 10.1038/s41598-026-58153-2
Published: 2026-06-22
Container: Scientific Reports
Publisher: Springer Science and Business Media LLC
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1038/s41598-026-58153-2,
  title = {Physics-based data augmentation to enhance deep learning performance in tropical cyclone and storm surge modelling},
  author = {Takumu Iwamoto and Tomohiro Takagawa},
  year = {2026},
  journal = {Scientific Reports},
  doi = {10.1038/s41598-026-58153-2},
  url = {https://doi.org/10.1038/s41598-026-58153-2}
}

RIS

TY  - JOUR
TI  - Physics-based data augmentation to enhance deep learning performance in tropical cyclone and storm surge modelling
AU  - Takumu Iwamoto
AU  - Tomohiro Takagawa
PY  - 2026
JO  - Scientific Reports
DO  - 10.1038/s41598-026-58153-2
UR  - https://doi.org/10.1038/s41598-026-58153-2
ER  -

APA

Iwamoto, T., & Takagawa, T. (2026). Physics-based data augmentation to enhance deep learning performance in tropical cyclone and storm surge modelling. Scientific Reports. https://doi.org/10.1038/s41598-026-58153-2

Source records

crossref · retrieved 2026-09-26T19:45:16.448Z