Global S&T Development Trend Analysis Platform of Resources and Environment
| DOI | 10.1038/s41467-022-28033-0 |
| Nonlinear sensitivity of glacier mass balance to future climate change unveiled by deep learning | |
| Bolibar, Jordi; Rabatel, Antoine; Gouttevin, Isabelle; Zekollari, Harry; Galiez, Clovis | |
| 2022-01-20 | |
| 发表期刊 | Nature Communications
 |
| 出版年 | 2022 |
| 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/346078 |
| 专题 | 资源环境科学 |
| 推荐引用方式 GB/T 7714 | Bolibar, Jordi,Rabatel, Antoine,Gouttevin, Isabelle,et al. Nonlinear sensitivity of glacier mass balance to future climate change unveiled by deep learning[J]. Nature Communications,2022. |
| APA | Bolibar, Jordi,Rabatel, Antoine,Gouttevin, Isabelle,Zekollari, Harry,&Galiez, Clovis.(2022).Nonlinear sensitivity of glacier mass balance to future climate change unveiled by deep learning.Nature Communications. |
| MLA | Bolibar, Jordi,et al."Nonlinear sensitivity of glacier mass balance to future climate change unveiled by deep learning".Nature Communications (2022). |
| 条目包含的文件 | 条目无相关文件。 | |||||
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