globalchange  > 过去全球变化的重建
DOI: 10.1007/978-3-319-17220-0
ISBN: 9783319172194
eISBN: 9783319172200
专著题名:
Machine Learning and Data Mining Approaches to Climate Science : Proceedings of the 4th International Workshop on Climate Informatics
作者: Lakshmanan Valliappa; Gilleland Eric; McGovern Amy; Tingley Martin
出版者: Springer International Publishing, Springer
出版年: 2015
页数: 252
国家: 国际
语种: 英语
英文关键词: Earth sciences. ; Climatology. ; Atmospheric sciences. ; Climate change. ; Earth Sciences. ; Atmospheric Sciences. ; Climatology. ; Climate Change.
URL: http://dx.doi.org/10.1007/978-3-319-17220-0
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资源类型: 专著
标识符: http://119.78.100.158/handle/2HF3EXSE/56789
Appears in Collections:过去全球变化的重建
影响、适应和脆弱性
气候减缓与适应

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Recommended Citation:
Lakshmanan Valliappa,Gilleland Eric,McGovern Amy,et al. Machine Learning and Data Mining Approaches to Climate Science : Proceedings of the 4th International Workshop on Climate Informatics[M]:Springer International Publishing, Springer,2015-01-01.
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