Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1038/s41467-021-26107-z |
From calibration to parameter learning: Harnessing the scaling effects of big data in geoscientific modeling | |
Tsai, Wen-Ping; Feng, Dapeng; Pan, Ming; Beck, Hylke; Lawson, Kathryn; Yang, Yuan; Liu, Jiangtao; Shen, Chaopeng | |
2021-10-13 | |
发表期刊 | Nature Communications
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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/339909 |
专题 | 资源环境科学 |
推荐引用方式 GB/T 7714 | Tsai, Wen-Ping,Feng, Dapeng,Pan, Ming,et al. From calibration to parameter learning: Harnessing the scaling effects of big data in geoscientific modeling[J]. Nature Communications,2021. |
APA | Tsai, Wen-Ping.,Feng, Dapeng.,Pan, Ming.,Beck, Hylke.,Lawson, Kathryn.,...&Shen, Chaopeng.(2021).From calibration to parameter learning: Harnessing the scaling effects of big data in geoscientific modeling.Nature Communications. |
MLA | Tsai, Wen-Ping,et al."From calibration to parameter learning: Harnessing the scaling effects of big data in geoscientific modeling".Nature Communications (2021). |
条目包含的文件 | 条目无相关文件。 |
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