Applying big data beyond small problems in climate research-Reference-Cited by-同舟云学术

Applying big data beyond small problems in climate research

Published:2019-02-25 Issue:3 Volume:9 Page:196-202
ISSN:1758-678X
Container-title:Nature Climate Change
language:en
Short-container-title:Nat. Clim. Chang.

Author:

Knüsel Benedikt^ORCID,Zumwald Marius^ORCID,Baumberger Christoph^ORCID,Hirsch Hadorn Gertrude,Fischer Erich M.^ORCID,Bresch David N.^ORCID,Knutti Reto^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Social Sciences (miscellaneous),Environmental Science (miscellaneous)

Link

http://www.nature.com/articles/s41558-019-0404-1.pdf

Reference81 articles.

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3. Pietsch, W. & Wernecke, J. In Berechenbarkeit der Welt? Philosophie und Wissenschaft im Zeitalter von Big Data (eds Pietsch, W., Wernecke, J. & Ott, M.) 37–57 (Springer VS, Wiesbaden, 2017).

4. Karpatne, A. et al. Theory-guided data science: A new paradigm for scientific discovery from data. IEEE Trans. Knowl. Data Eng. 29, 2318–2331 (2017). This paper introduces a framework for applying data science tools in scientific research and guiding the analysis by theory in order to ensure that the results are physically plausible.

5. Faghmous, J. H. & Kumar, V. A big data guide to understanding climate change: The case for theory-guided data science. Big Data 2, 155–163 (2014).

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