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| DOI | 10.1038/s41467-020-20779-9 |
| Deep learning to infer eddy heat fluxes from sea surface height patterns of mesoscale turbulence | |
| Tom M. George; Georgy E. Manucharyan; Andrew F. Thompson | |
| 2021-02-05 | |
| 发表期刊 | Nature Communications
 |
| 出版年 | 2021 |
| 领域 | 资源环境 |
| URL | 查看原文 |
| 引用统计 | |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/313932 |
| 专题 | 资源环境科学 |
| 推荐引用方式 GB/T 7714 | Tom M. George,Georgy E. Manucharyan,Andrew F. Thompson. Deep learning to infer eddy heat fluxes from sea surface height patterns of mesoscale turbulence[J]. Nature Communications,2021. |
| APA | Tom M. George,Georgy E. Manucharyan,&Andrew F. Thompson.(2021).Deep learning to infer eddy heat fluxes from sea surface height patterns of mesoscale turbulence.Nature Communications. |
| MLA | Tom M. George,et al."Deep learning to infer eddy heat fluxes from sea surface height patterns of mesoscale turbulence".Nature Communications (2021). |
| 条目包含的文件 | 条目无相关文件。 | |||||
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