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Inferring causation from time series in Earth system sciences

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Cited by:

  1. Zhang, Qi & Ma, Zhenliang & Wu, Yuanyuan & Liu, Yang & Qu, Xiaobo, 2025. "Quantifying variable contributions to bus operation delays considering causal relationships," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 194(C).
  2. Cai, Yunhao & Jing, Peng & Wang, Baihui & Jiang, Chengxi & Wang, Yuan, 2023. "How does “over-hype” lead to public misconceptions about autonomous vehicles? A new insight applying causal inference," Transportation Research Part A: Policy and Practice, Elsevier, vol. 175(C).
  3. Lucas C Parra & Aimar Silvan & Maximilian Nentwich & Jens Madsen & Vera E Parra & Behtash Babadi, 2025. "VARX Granger analysis: Models for neuroscience, physiology, sociology and econometrics," PLOS ONE, Public Library of Science, vol. 20(1), pages 1-21, January.
  4. Tejasvi Chauhan & Anjana Devanand & Mathew Koll Roxy & Karumuri Ashok & Subimal Ghosh, 2023. "River interlinking alters land-atmosphere feedback and changes the Indian summer monsoon," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
  5. Fang Guo & Pei Zhang & Vivian Do & Jakob Runge & Kun Zhang & Zheshen Han & Shenxi Deng & Hongli Lin & Sheikh Taslim Ali & Ruchong Chen & Yuming Guo & Linwei Tian, 2024. "Ozone as an environmental driver of influenza," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
  6. Chuliang Song & Benno I Simmons & Marie-Josée Fortin & Andrew Gonzalez, 2022. "Generalism drives abundance: A computational causal discovery approach," PLOS Computational Biology, Public Library of Science, vol. 18(9), pages 1-16, September.
  7. Alex E Yuan & Wenying Shou, 2024. "A rigorous and versatile statistical test for correlations between stationary time series," PLOS Biology, Public Library of Science, vol. 22(8), pages 1-26, August.
  8. Elias Chaibub Neto & Thanneer M Perumal & Abhishek Pratap & Aryton Tediarjo & Brian M Bot & Lara Mangravite & Larsson Omberg, 2022. "Disentangling personalized treatment effects from “time-of-the-day” confounding in mobile health studies," PLOS ONE, Public Library of Science, vol. 17(8), pages 1-25, August.
  9. Abbas, Khizar & Han, Mengyao & Xu, Deyi & Butt, Khalid Manzoor & Baz, Khan & Cheng, Jinhua & Zhu, Yongguang & Hussain, Sanwal, 2024. "Exploring synergistic and individual causal effects of rare earth elements and renewable energy on multidimensional economic complexity for sustainable economic development," Applied Energy, Elsevier, vol. 364(C).
  10. Schuessler, Julian, 2024. "Causal analysis with observational data," OSF Preprints wam94, Center for Open Science.
  11. Kunxiaojia Yuan & Fa Li & Gavin McNicol & Min Chen & Alison Hoyt & Sara Knox & William J. Riley & Robert Jackson & Qing Zhu, 2024. "Boreal–Arctic wetland methane emissions modulated by warming and vegetation activity," Nature Climate Change, Nature, vol. 14(3), pages 282-288, March.
  12. Jian Wang & Xiaoyue Wang & Josep Peñuelas & Hao Hua & Chaoyang Wu, 2025. "Nitrogen deposition favors later leaf senescence in woody species," Nature Communications, Nature, vol. 16(1), pages 1-10, December.
  13. Jakob Runge, 2023. "Modern causal inference approaches to investigate biodiversity-ecosystem functioning relationships," Nature Communications, Nature, vol. 14(1), pages 1-3, December.
  14. Andreas Koutsodendris & Vasilis Dakos & William J. Fletcher & Maria Knipping & Ulrich Kotthoff & Alice M. Milner & Ulrich C. Müller & Stefanie Kaboth-Bahr & Oliver A. Kern & Laurin Kolb & Polina Vakhr, 2023. "Atmospheric CO2 forcing on Mediterranean biomes during the past 500 kyrs," Nature Communications, Nature, vol. 14(1), pages 1-12, December.
  15. Se Ho Park & Seokmin Ha & Jae Kyoung Kim, 2023. "A general model-based causal inference method overcomes the curse of synchrony and indirect effect," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
  16. Sebastiano Trevisani & Pietro Daniel Omodeo, 2021. "Earth Scientists and Sustainable Development: Geocomputing, New Technologies, and the Humanities," Land, MDPI, vol. 10(3), pages 1-17, March.
  17. van Elteren, Casper & Quax, Rick & Sloot, Peter, 2022. "Dynamic importance of network nodes is poorly predicted by static structural features," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 593(C).
  18. Ma, Zhengjing & Mei, Gang, 2022. "A hybrid attention-based deep learning approach for wind power prediction," Applied Energy, Elsevier, vol. 323(C).
  19. Gong, Bin & An, Aimin & Shi, Yaoke & Guan, Haijiao & Jia, Wenchao & Yang, Fazhi, 2024. "An interpretable hybrid spatiotemporal fusion method for ultra-short-term photovoltaic power prediction," Energy, Elsevier, vol. 308(C).
  20. Sourav Mukherjee & Ashok Kumar Mishra & Jakob Zscheischler & Dara Entekhabi, 2023. "Interaction between dry and hot extremes at a global scale using a cascade modeling framework," Nature Communications, Nature, vol. 14(1), pages 1-15, December.
  21. Ge, Xinlei & Lin, Aijing, 2023. "Symbolic convergent cross mapping based on permutation mutual information," Chaos, Solitons & Fractals, Elsevier, vol. 167(C).
  22. Bingbo Gao & Jianyu Yang & Ziyue Chen & George Sugihara & Manchun Li & Alfred Stein & Mei-Po Kwan & Jinfeng Wang, 2023. "Causal inference from cross-sectional earth system data with geographical convergent cross mapping," Nature Communications, Nature, vol. 14(1), pages 1-12, December.
  23. Lucile Ricard & Fabrizio Falasca & Jakob Runge & Athanasios Nenes, 2024. "network-based constraint to evaluate climate sensitivity," Nature Communications, Nature, vol. 15(1), pages 1-10, December.
  24. repec:osf:osfxxx:wam94_v1 is not listed on IDEAS
  25. Shen, Bin & Yang, Shenglai & Hu, Jiangtao & Zhang, Yiqi & Zhang, Lingfeng & Ye, Shanlin & Yang, Zhengze & Yu, Jiayi & Gao, Xinyuan & Zhao, Ermeng, 2024. "Interpretable causal-based temporal graph convolutional network framework in complex spatio-temporal systems for CCUS-EOR," Energy, Elsevier, vol. 309(C).
  26. Timothy M. Lenton & Jesse F. Abrams & Annett Bartsch & Sebastian Bathiany & Chris A. Boulton & Joshua E. Buxton & Alessandra Conversi & Andrew M. Cunliffe & Sophie Hebden & Thomas Lavergne & Benjamin , 2024. "Remotely sensing potential climate change tipping points across scales," Nature Communications, Nature, vol. 15(1), pages 1-15, December.
  27. Javier, Prince Joseph Erneszer A. & Liponhay, Marissa P. & Dajac, Carlo Vincienzo G. & Monterola, Christopher P., 2022. "Causal network inference in a dam system and its implications on feature selection for machine learning forecasting," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 604(C).
  28. Markus Reichstein & Vitus Benson & Jan Blunk & Gustau Camps-Valls & Felix Creutzig & Carina J. Fearnley & Boran Han & Kai Kornhuber & Nasim Rahaman & Bernhard Schölkopf & José María Tárraga & Ricardo , 2025. "Early warning of complex climate risk with integrated artificial intelligence," Nature Communications, Nature, vol. 16(1), pages 1-13, December.
  29. Yu Yang & Sthitie Bom & Xiaotong Shen, 2024. "A hierarchical ensemble causal structure learning approach for wafer manufacturing," Journal of Intelligent Manufacturing, Springer, vol. 35(6), pages 2961-2978, August.
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