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DOI10.1175/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
ISSN0894-8755
EISSN1520-0442
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
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
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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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