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DOI | 10.1175/JCLI-D-18-0882.1 |
Uncovering the Forced Climate Response from a Single Ensemble Member Using Statistical Learning | |
Sippel, Sebastian; Meinshausen, Nicolai; Merrifield, Anna; Lehner, Flavio; Pendergrass, Angeline G.; Fischer, Erich; Knutti, Reto | |
发表日期 | 2019-09-01 |
ISSN | 0894-8755 |
EISSN | 1520-0442 |
卷号 | 32期号:17页码:5677-5699 |
英文摘要 | Internal atmospheric variability fundamentally limits predictability of climate and obscures evidence of anthropogenic climate change regionally and on time scales of up to a few decades. Dynamical adjustment techniques estimate and subsequently remove th |
关键词 | Atmospheric circulationClimate changeClimate predictionRegression analysisStatistical techniquesClimate variability |
学科领域 | Meteorology & Atmospheric Sciences |
语种 | 英语 |
WOS记录号 | WOS:000480264800001 |
来源期刊 | JOURNAL OF CLIMATE
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文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/81792 |
作者单位 | Swiss Fed Inst Technol, Inst Atmospher & Climate Sci, Zurich, Switzerland |
推荐引用方式 GB/T 7714 | Sippel, Sebastian,Meinshausen, Nicolai,Merrifield, Anna,et al. Uncovering the Forced Climate Response from a Single Ensemble Member Using Statistical Learning[J],2019,32(17):5677-5699. |
APA | Sippel, Sebastian.,Meinshausen, Nicolai.,Merrifield, Anna.,Lehner, Flavio.,Pendergrass, Angeline G..,...&Knutti, Reto.(2019).Uncovering the Forced Climate Response from a Single Ensemble Member Using Statistical Learning.JOURNAL OF CLIMATE,32(17),5677-5699. |
MLA | Sippel, Sebastian,et al."Uncovering the Forced Climate Response from a Single Ensemble Member Using Statistical Learning".JOURNAL OF CLIMATE 32.17(2019):5677-5699. |
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