Physics-informed generative neural network: an application to troposphere temperature prediction

Zhihao Chen, Jie Gao, Weikai Wang, Zheng Yan

Open source

DOI: 10.1088/1748-9326/abfde9
Published: 2021-05-26
Container: Environmental Research Letters
Publisher: IOP Publishing
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1088/1748-9326/abfde9,
  title = {Physics-informed generative neural network: an application to troposphere temperature prediction},
  author = {Zhihao Chen and Jie Gao and Weikai Wang and Zheng Yan},
  year = {2021},
  journal = {Environmental Research Letters},
  doi = {10.1088/1748-9326/abfde9},
  url = {https://doi.org/10.1088/1748-9326/abfde9}
}

RIS

TY  - JOUR
TI  - Physics-informed generative neural network: an application to troposphere temperature prediction
AU  - Zhihao Chen
AU  - Jie Gao
AU  - Weikai Wang
AU  - Zheng Yan
PY  - 2021
JO  - Environmental Research Letters
DO  - 10.1088/1748-9326/abfde9
UR  - https://doi.org/10.1088/1748-9326/abfde9
ER  -

APA

Chen, Z., Gao, J., Wang, W., & Yan, Z. (2021). Physics-informed generative neural network: an application to troposphere temperature prediction. Environmental Research Letters. https://doi.org/10.1088/1748-9326/abfde9

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crossref · retrieved 2026-11-07T05:15:08.578Z