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DOI10.1038/s41558-019-0404-1
Applying big data beyond small problems in climate research
Knüsel B.; Zumwald M.; Baumberger C.; Hirsch Hadorn G.; Fischer E.M.; Bresch D.N.; Knutti R.
发表日期2019
ISSN1758678X
卷号9期号:3
英文摘要Commercial success of big data has led to speculation that big-data-like reasoning could partly replace theory-based approaches in science. Big data typically has been applied to ‘small problems’, which are well-structured cases characterized by repeated evaluation of predictions. Here, we show that in climate research, intermediate categories exist between classical domain science and big data, and that big-data elements have also been applied without the possibility of repeated evaluation. Big-data elements can be useful for climate research beyond small problems if combined with more traditional approaches based on domain-specific knowledge. The biggest potential for big-data elements, we argue, lies in socioeconomic climate research. © 2019, Springer Nature Limited.
语种英语
scopus关键词data set; environmental assessment; environmental research; knowledge; prediction
来源期刊Nature Climate Change
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/124446
作者单位Institute for Environmental Decisions, ETH Zurich, Switzerland; Institute for Atmospheric and Climate Science, ETH Zurich, Switzerland; Federal Office of Meteorology and Climatology MeteoSwiss, Zurich, Switzerland
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GB/T 7714
Knüsel B.,Zumwald M.,Baumberger C.,et al. Applying big data beyond small problems in climate research[J],2019,9(3).
APA Knüsel B..,Zumwald M..,Baumberger C..,Hirsch Hadorn G..,Fischer E.M..,...&Knutti R..(2019).Applying big data beyond small problems in climate research.Nature Climate Change,9(3).
MLA Knüsel B.,et al."Applying big data beyond small problems in climate research".Nature Climate Change 9.3(2019).
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