Inferring causation from time series in Earth system sciences

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Standard

Inferring causation from time series in Earth system sciences. / Runge, Jakob; Bathiany, Sebastian; Bollt, Erik; Camps-Valls, Gustau; Coumou, Dim; Deyle, Ethan; Glymour, Clark; Kretschmer, Marlene; Mahecha, Miguel D.; Muñoz-Marí, Jordi; van Nes, Egbert H.; Peters, Jonas; Quax, Rick; Reichstein, Markus; Scheffer, Marten; Schölkopf, Bernhard; Spirtes, Peter; Sugihara, George; Sun, Jie; Zhang, Kun; Zscheischler, Jakob.

I: Nature Communications, Bind 10, Nr. 1, 2553, 2019.

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

Harvard

Runge, J, Bathiany, S, Bollt, E, Camps-Valls, G, Coumou, D, Deyle, E, Glymour, C, Kretschmer, M, Mahecha, MD, Muñoz-Marí, J, van Nes, EH, Peters, J, Quax, R, Reichstein, M, Scheffer, M, Schölkopf, B, Spirtes, P, Sugihara, G, Sun, J, Zhang, K & Zscheischler, J 2019, 'Inferring causation from time series in Earth system sciences', Nature Communications, bind 10, nr. 1, 2553. https://doi.org/10.1038/s41467-019-10105-3

APA

Runge, J., Bathiany, S., Bollt, E., Camps-Valls, G., Coumou, D., Deyle, E., Glymour, C., Kretschmer, M., Mahecha, M. D., Muñoz-Marí, J., van Nes, E. H., Peters, J., Quax, R., Reichstein, M., Scheffer, M., Schölkopf, B., Spirtes, P., Sugihara, G., Sun, J., ... Zscheischler, J. (2019). Inferring causation from time series in Earth system sciences. Nature Communications, 10(1), [2553]. https://doi.org/10.1038/s41467-019-10105-3

Vancouver

Runge J, Bathiany S, Bollt E, Camps-Valls G, Coumou D, Deyle E o.a. Inferring causation from time series in Earth system sciences. Nature Communications. 2019;10(1). 2553. https://doi.org/10.1038/s41467-019-10105-3

Author

Runge, Jakob ; Bathiany, Sebastian ; Bollt, Erik ; Camps-Valls, Gustau ; Coumou, Dim ; Deyle, Ethan ; Glymour, Clark ; Kretschmer, Marlene ; Mahecha, Miguel D. ; Muñoz-Marí, Jordi ; van Nes, Egbert H. ; Peters, Jonas ; Quax, Rick ; Reichstein, Markus ; Scheffer, Marten ; Schölkopf, Bernhard ; Spirtes, Peter ; Sugihara, George ; Sun, Jie ; Zhang, Kun ; Zscheischler, Jakob. / Inferring causation from time series in Earth system sciences. I: Nature Communications. 2019 ; Bind 10, Nr. 1.

Bibtex

@article{a183e589da344f00b3c2713127a00a36,
title = "Inferring causation from time series in Earth system sciences",
abstract = "The heart of the scientific enterprise is a rational effort to understand the causes behind the phenomena we observe. In large-scale complex dynamical systems such as the Earth system, real experiments are rarely feasible. However, a rapidly increasing amount of observational and simulated data opens up the use of novel data-driven causal methods beyond the commonly adopted correlation techniques. Here, we give an overview of causal inference frameworks and identify promising generic application cases common in Earth system sciences and beyond. We discuss challenges and initiate the benchmark platform causeme.net to close the gap between method users and developers.",
author = "Jakob Runge and Sebastian Bathiany and Erik Bollt and Gustau Camps-Valls and Dim Coumou and Ethan Deyle and Clark Glymour and Marlene Kretschmer and Mahecha, {Miguel D.} and Jordi Mu{\~n}oz-Mar{\'i} and {van Nes}, {Egbert H.} and Jonas Peters and Rick Quax and Markus Reichstein and Marten Scheffer and Bernhard Sch{\"o}lkopf and Peter Spirtes and George Sugihara and Jie Sun and Kun Zhang and Jakob Zscheischler",
year = "2019",
doi = "10.1038/s41467-019-10105-3",
language = "English",
volume = "10",
journal = "Nature Communications",
issn = "2041-1723",
publisher = "nature publishing group",
number = "1",

}

RIS

TY - JOUR

T1 - Inferring causation from time series in Earth system sciences

AU - Runge, Jakob

AU - Bathiany, Sebastian

AU - Bollt, Erik

AU - Camps-Valls, Gustau

AU - Coumou, Dim

AU - Deyle, Ethan

AU - Glymour, Clark

AU - Kretschmer, Marlene

AU - Mahecha, Miguel D.

AU - Muñoz-Marí, Jordi

AU - van Nes, Egbert H.

AU - Peters, Jonas

AU - Quax, Rick

AU - Reichstein, Markus

AU - Scheffer, Marten

AU - Schölkopf, Bernhard

AU - Spirtes, Peter

AU - Sugihara, George

AU - Sun, Jie

AU - Zhang, Kun

AU - Zscheischler, Jakob

PY - 2019

Y1 - 2019

N2 - The heart of the scientific enterprise is a rational effort to understand the causes behind the phenomena we observe. In large-scale complex dynamical systems such as the Earth system, real experiments are rarely feasible. However, a rapidly increasing amount of observational and simulated data opens up the use of novel data-driven causal methods beyond the commonly adopted correlation techniques. Here, we give an overview of causal inference frameworks and identify promising generic application cases common in Earth system sciences and beyond. We discuss challenges and initiate the benchmark platform causeme.net to close the gap between method users and developers.

AB - The heart of the scientific enterprise is a rational effort to understand the causes behind the phenomena we observe. In large-scale complex dynamical systems such as the Earth system, real experiments are rarely feasible. However, a rapidly increasing amount of observational and simulated data opens up the use of novel data-driven causal methods beyond the commonly adopted correlation techniques. Here, we give an overview of causal inference frameworks and identify promising generic application cases common in Earth system sciences and beyond. We discuss challenges and initiate the benchmark platform causeme.net to close the gap between method users and developers.

UR - http://www.scopus.com/inward/record.url?scp=85067350188&partnerID=8YFLogxK

U2 - 10.1038/s41467-019-10105-3

DO - 10.1038/s41467-019-10105-3

M3 - Journal article

C2 - 31201306

AN - SCOPUS:85067350188

VL - 10

JO - Nature Communications

JF - Nature Communications

SN - 2041-1723

IS - 1

M1 - 2553

ER -

ID: 222971563