ReviewNature communications2019
Inferring causation from time series in Earth system sciences.
Abstract readReview
In one paragraph
Review in Nature communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 140 papers, 1 of them a synthesis that pooled it.
0numbers the graph read from it
0cells of the map it votes in
140citing papers in PubMed, 1 pooled it
–field-weighted citation impact
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
140 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Towards IoT-Fog-ML integration for temperature break detection and prediction in fresh produce cold chains: a systematic review and architectural framework.Frontiers in artificial intelligence · 2026Pooled it
- Advances in causal discovery methods for ecological time series.Biological reviews of the Cambridge Philosophical Society · 2026Review
- lagCI enables inference of temporal causal relationships from dense multi-omic time series.Briefings in bioinformatics · 2026Article
- Biomonitoring 3.0: Beyond Taxa Lists to Evidence-Tiered Monitoring of Ecosystem Dynamics and Interactions.Ecology and evolution · 2026Review
- Driving mechanisms of drought triggers in response to vegetation loss across the Weihe River Basin.Scientific reports · 2026Article
- Bridging the weather and climate divide with artificial intelligence.Nature communications · 2026Review
- Time Series Correlations and Kolmogorov Complexity: A Hausdorff Dimension Perspective.Entropy (Basel, Switzerland) · 2026Article
- Review
- Interpretable Event-Driven Multisensor Risk-Evolution Analysis for Methane Early Warning.Sensors (Basel, Switzerland) · 2026Article
- Measuring the spatial lag effect of Tobler's First Law of Geography in Earth system predictive learning.Scientific reports · 2026Article
- Integrated brain and body mechanisms underlying acute stress and trauma-related vulnerability.Neurobiology of stress · 2026Article
- Compounding hazards increase flood economic losses across Europe.Nature communications · 2026Article
- Exposing the potential of XAI-based causal discovery for analysing unstable rock slopes.Scientific reports · 2026Article
- Contribution of North Atlantic temperature variability to El Niño cyclicity as revealed by spectral causality estimates.Scientific reports · 2026Article
- Bidirectional yet asymmetric causality between urban systems and traffic dynamics in 30 cities worldwide.Nature communications · 2026Article
- Smartphone-derived joint angular velocities in sit-to-stand motion provide a spatiotemporal marker for symptomatic knee osteoarthritis.Communications medicine · 2026Article
- Best practices for moving from correlation to causation in ecological research.Nature communications · 2026Review
- The Role of Feedback Loops in Dynamical Symptom Networks.Scientific reports · 2026Article
- Restricted Network Reconstruction from Time Series via Dempster-Shafer Evidence Theory.Entropy (Basel, Switzerland) · 2026Article
- Assimilative causal inference.Nature communications · 2026Article
80 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
21 authors.
Jakob RungeGerman Aerospace Center, Institute of Data Science, Mälzer Str. 3, 07745, Jena, Germany. jakob.runge@dlr.de.ORCID http://orcid.org/0000-0002-0629-1772
Sebastian BathianyClimate Service Center Germany (GERICS), Helmholtz-Zentrum Geesthacht, Fischertwiete 1, 20095, Hamburg, Germany.
Erik BolltDepartment of Mathematics, Clarkson Center for Complex Systems Science (C3S2), Clarkson University, 8 Clarkson Ave., Potsdam, NY, 13699-5815, USA.
Gustau Camps-VallsImage Processing Laboratory, Universitat de València, ES-46980, Paterna (València), Spain.
Dim CoumouDepartment of Water and Climate Risk, Institute for Environmental Studies (IVM), VU University Amsterdam, De Boelelaan 1087, 1081 HV, Amsterdam, The Netherlands.
Ethan DeyleScripps Institution of Oceanography, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA, 92093, USA.
Clark GlymourDepartment of Philosophy, Carnegie Mellon University, 5000 Forbes Ave, Pittsburgh, PA, 15213, USA.
Marlene KretschmerPotsdam Institute for Climate Impact Research, Earth System Analysis, Telegraphenberg A62, 14473, Potsdam, Germany.
Miguel D MahechaMax Planck Institute for Biogeochemistry, PO Box 100164, 07701, Jena, Germany.ORCID http://orcid.org/0000-0003-3031-613X
Jordi Muñoz-MaríImage Processing Laboratory, Universitat de València, ES-46980, Paterna (València), Spain.
Egbert H van NesDepartment of Environmental Sciences, Wageningen University, P.O. Box 47, NL-6700 AA, Wageningen, The Netherlands.
Jonas PetersDepartment of Mathematical Sciences, University of Copenhagen, Universitetsparken 5, 2100, København, Denmark.
Rick QuaxInstitute for Informatics, University of Amsterdam, PO Box 94323, 1090 GH, Amsterdam, The Netherlands.
Markus ReichsteinMax Planck Institute for Biogeochemistry, PO Box 100164, 07701, Jena, Germany.
Marten SchefferDepartment of Environmental Sciences, Wageningen University, P.O. Box 47, NL-6700 AA, Wageningen, The Netherlands.
Bernhard SchölkopfMax Planck Institute for Intelligent Systems, Max Planck Ring 4, 72076, Tübingen, Germany.
Peter SpirtesDepartment of Philosophy, Carnegie Mellon University, 5000 Forbes Ave, Pittsburgh, PA, 15213, USA.
George SugiharaScripps Institution of Oceanography, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA, 92093, USA.
Jie SunDepartment of Mathematics, Clarkson Center for Complex Systems Science (C3S2), Clarkson University, 8 Clarkson Ave., Potsdam, NY, 13699-5815, USA.ORCID http://orcid.org/0000-0003-2553-1804
Kun ZhangDepartment of Philosophy, Carnegie Mellon University, 5000 Forbes Ave, Pittsburgh, PA, 15213, USA.
Jakob ZscheischlerInstitute for Atmospheric and Climate Science, ETH Zurich, Universitätstrasse 16, 8092, Zurich, Switzerland.ORCID http://orcid.org/0000-0001-6045-1629
Funding
TrainingU54HG008540 · NHGRI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BAHAR, IVET, BERG, JEREMY M · 2014 to 2018
$12.8MSupplement Plan for EFFECTIVE CONNECTIVITY IN BRAIN NETWORKS: Detecting network disruption in Alzheimeir's using sub-second temporal resolutionR01EB022858 · NIBIB · RUTGERS THE STATE UNIV OF NJ NEWARK · PI HANSON, STEPHEN JOSÉ · 2016 to 2018
$1.6MINTEGRATIVE GRAPHICAL MODELS FOR LARGE MULTI-MODAL BIOMEDICAL DATAR01LM012087 · NLM · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BENOS, PANAGIOTIS V, GLYMOUR, CLARK · 2015 to 2018
$1.3MSustaining an Evidence-based Task-shifting Strategy for Blood Pressure Control in GhanaR03TW010081 · FIC · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI IWELUNMOR, JULIET · 2015 to 2016
$159kBundesministerium für Bildung und Forschung (Federal Ministry of Education and Research) 01LN1304AEC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 European Research Council (H2020 Excellent Science - European Research Council) 640176EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 European Research Council (H2020 Excellent Science - European Research Council) 647423National Science Foundation (NSF) DBI-1667584National Science Foundation (NSF) IIS-1829681National Science Foundation (NSF) NSFDEB-1655203Nederlandse Organisatie voor Wetenschappelijk Onderzoek (Netherlands Organisation for Scientific Research) 016.Vidi.171011NHGRI NIH HHS U54 HG008540NIBIB NIH HHS R01 EB022858NLM NIH HHS R01 LM012087Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (Swiss National Science Foundation) PZ00P2-179876Simons Foundation 318812United States Department of Defense | United States Army | U.S. Army Research, Development and Engineering Command | Army Research Office (ARO) W911NF-16-1-0081United States Department of Defense | United States Navy | Office of Naval Research (ONR) N00014-15-1-2093United States Department of Defense | U.S. Air Force (United States Air Force) FA8650-17-C-7715U.S. Department of Health & Human Services | NIH | Center for Information Technology (Center for Information Technology, National Institutes of Health) FAINR01EB022858U.S. Department of Health & Human Services | NIH | Center for Information Technology (Center for Information Technology, National Institutes of Health) FAIN-U54HG008540U.S. Department of Health & Human Services | NIH | Center for Information Technology (Center for Information Technology, National Institutes of Health) NIH-1R01LM012087U.S. Department of Health & Human Services | NIH | Center for Information Technology (Center for Information Technology, National Institutes of Health) NIH5U54HG008540-02Villum Fonden (Villum Foundation) 18968
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.
Identifiers
What OpenQuestion holds
Textmetadata
LicenceCC BY
Read underepoch 390
Registered trials
None linked
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.