{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,2]],"date-time":"2025-12-02T18:40:17Z","timestamp":1764700817297,"version":"3.46.0"},"publisher-location":"New York, NY, USA","reference-count":28,"publisher":"ACM","funder":[{"name":"CAREER: Big Data Climate Causality","award":["OAC-1942714"],"award-info":[{"award-number":["OAC-1942714"]}]},{"name":"HARP - Harnessing Data and Model Revolution in the Polar Regions","award":["OAC-2118285"],"award-info":[{"award-number":["OAC-2118285"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,11,3]]},"DOI":"10.1145\/3764922.3771172","type":"proceedings-article","created":{"date-parts":[[2025,12,2]],"date-time":"2025-12-02T18:28:28Z","timestamp":1764700108000},"page":"1-9","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Causal Feedback Discovery using Convergence Cross Mapping on Sea Ice Data"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0009-6559-4659","authenticated-orcid":false,"given":"Francis Ndikum","family":"Nji","sequence":"first","affiliation":[{"name":"Department of Information Systems\/Big Data Analytics Lab, University of Maryland Baltimore County, Baltimore, MD, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-5197-8169","authenticated-orcid":false,"given":"Seraj Al Mahmud","family":"Mostafa","sequence":"additional","affiliation":[{"name":"Department of Information Systems\/Big Data Analytics Lab, University of Maryland Baltimore County, Baltimore, MD, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9933-1170","authenticated-orcid":false,"given":"Jianwu","family":"Wang","sequence":"additional","affiliation":[{"name":"Department of Information Systems\/Big Data Analytics Lab, University of Maryland Baltimore County, Baltimore, MD, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2025,12,2]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"IGARSS 2022-2022 IEEE International Geoscience and Remote Sensing Symposium. IEEE, arXiv, 4654--4657","author":"Ali Sahara","year":"2022","unstructured":"Sahara Ali, Seraj AM Mostafa, Xingyan Li, Sara Khanjani, Jianwu Wang, James Foulds, and Vandana Janeja. 2022. Benchmarking probabilistic machine learning models for arctic sea ice forecasting. In IGARSS 2022-2022 IEEE International Geoscience and Remote Sensing Symposium. IEEE, arXiv, 4654--4657."},{"key":"e_1_3_2_1_2_1","volume-title":"Granger causality and transfer entropy are equivalent for Gaussian variables. Physical review letters 103, 23","author":"Barnett Lionel","year":"2009","unstructured":"Lionel Barnett, Adam B Barrett, and Anil K Seth. 2009. Granger causality and transfer entropy are equivalent for Gaussian variables. Physical review letters 103, 23 (2009), 238701."},{"key":"e_1_3_2_1_3_1","volume-title":"Minimal influence of reduced Arctic sea ice on coincident cold winters in mid-latitudes. Nature climate change 9, 9","author":"Blackport Russell","year":"2019","unstructured":"Russell Blackport, James A Screen, Karin van der Wiel, and Richard Bintanja. 2019. Minimal influence of reduced Arctic sea ice on coincident cold winters in mid-latitudes. Nature climate change 9, 9 (2019), 697--704."},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1890\/14-1479.1"},{"key":"e_1_3_2_1_5_1","article-title":"Snow loss into leads in Arctic sea ice: Minimal in typical wintertime conditions, but high during a warm and windy snowfall event","volume":"50","author":"Clemens-Sewall David","year":"2023","unstructured":"David Clemens-Sewall, Chris Polashenski, Markus M Frey, Christopher J Cox, Mats A Granskog, Amy R Macfarlane, Steven W Fons, Julia Schmale, Jennifer K Hutchings, Luisa von Albedyll, et al. 2023. Snow loss into leads in Arctic sea ice: Minimal in typical wintertime conditions, but high during a warm and windy snowfall event. Geophysical Research Letters 50, 12 (2023), e2023GL102816.","journal-title":"Geophysical Research Letters"},{"key":"e_1_3_2_1_6_1","volume-title":"International Conference on Learning Representations.","author":"Brouwer Edward De","year":"2020","unstructured":"Edward De Brouwer, Adam Arany, Jaak Simm, and Yves Moreau. 2020. Latent convergent cross mapping. In International Conference on Learning Representations."},{"key":"e_1_3_2_1_7_1","article-title":"Distribution of the estimators for autoregressive time series with a unit root","volume":"74","author":"Dickey David A","year":"1979","unstructured":"David A Dickey and Wayne A Fuller. 1979. Distribution of the estimators for autoregressive time series with a unit root. Journal of the American statistical association 74, 366a (1979), 427--431.","journal-title":"Journal of the American statistical association"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.2304.14541"},{"key":"e_1_3_2_1_9_1","volume-title":"Causal inference from cross-sectional earth system data with geographical convergent cross mapping. nature communications 14, 1","author":"Gao Bingbo","year":"2023","unstructured":"Bingbo Gao, Jianyu Yang, Ziyue Chen, George Sugihara, Manchun Li, Alfred Stein, Mei-Po Kwan, and Jinfeng Wang. 2023. Causal inference from cross-sectional earth system data with geographical convergent cross mapping. nature communications 14, 1 (2023), 5875."},{"key":"e_1_3_2_1_10_1","volume-title":"Nonlinear causal discovery with additive noise models. Advances in neural information processing systems 21","author":"Hoyer Patrik","year":"2008","unstructured":"Patrik Hoyer, Dominik Janzing, Joris M Mooij, Jonas Peters, and Bernhard Sch\u00f6lkopf. 2008. Nonlinear causal discovery with additive noise models. Advances in neural information processing systems 21 (2008)."},{"key":"e_1_3_2_1_11_1","volume-title":"Optimizing VarLiNGAM for Scalable and Efficient Time Series Causal Discovery. arXiv preprint arXiv:2409.05500","author":"Jiao Ziyang","year":"2024","unstructured":"Ziyang Jiao, Ce Guo, and Wayne Luk.2024. Optimizing VarLiNGAM for Scalable and Efficient Time Series Causal Discovery. arXiv preprint arXiv:2409.05500 (2024)."},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1016\/0304-4076(92)90104-Y"},{"key":"e_1_3_2_1_13_1","unstructured":"F. N. Nji O. Faruque M. Cham J. Vandana and J. Wang. 2024. Evaluation of Traditional and Deep Clustering Algorithms for Multivariate Spatiotemporal Data. https:\/\/www.osti.gov\/servlets\/purl\/2519314"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1109\/BigData62323.2024.10825871"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"crossref","first-page":"145","DOI":"10.1175\/BAMS-D-11-00070.1","article-title":"Recent changes of Arctic multiyear sea ice coverage and the likely causes","volume":"93","author":"Polyakov Igor V","year":"2012","unstructured":"Igor V Polyakov, John E Walsh, and Ronald Kwok. 2012. Recent changes of Arctic multiyear sea ice coverage and the likely causes. Bulletin of the American Meteorological Society 93, 2 (2012), 145--151.","journal-title":"Bulletin of the American Meteorological Society"},{"key":"e_1_3_2_1_16_1","volume-title":"Martin Beniston, Martin Claussen, JOsep Canadell, Peter Cox, Hermann Held, Nathalie de Noblet-Ducoudr\u00e9, Ronald Prinn, James F Reynolds, et al.","author":"Rial Jos\u00e9 A","year":"2004","unstructured":"Jos\u00e9 A Rial, Roger A Pielke Sr, Martin Beniston, Martin Claussen, JOsep Canadell, Peter Cox, Hermann Held, Nathalie de Noblet-Ducoudr\u00e9, Ronald Prinn, James F Reynolds, et al. 2004. Nonlinearities, feedbacks and critical thresholds within the Earth's climate system. Climatic change 65, 1 (2004), 11--38."},{"key":"e_1_3_2_1_17_1","volume-title":"Conference on Uncertainty in Artificial Intelligence. Pmlr, 1388--1397","author":"Runge Jakob","year":"2020","unstructured":"Jakob Runge. 2020. Discovering contemporaneous and lagged causal relations in autocorrelated nonlinear time series datasets. In Conference on Uncertainty in Artificial Intelligence. Pmlr, 1388--1397."},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"crossref","unstructured":"Jakob Runge Sebastian Bathiany Erik Bollt Gustau Camps-Valls Dim Coumou Ethan Deyle Clark Glymour Marlene Kretschmer Miguel D Mahecha Jordi Mu\u00f1oz-Mar\u00ed et al. 2019. Inferring causation from time series in Earth system sciences. Nature communications 10 1 (2019) 2553.","DOI":"10.1038\/s41467-019-10105-3"},{"key":"e_1_3_2_1_19_1","article-title":"A linear non-Gaussian acyclic model for causal discovery","volume":"7","author":"Shimizu Shohei","year":"2006","unstructured":"Shohei Shimizu, Patrik O Hoyer, Aapo Hyv\u00e4rinen, Antti Kerminen, and Michael Jordan. 2006. A linear non-Gaussian acyclic model for causal discovery. Journal of Machine Learning Research 7, 10 (2006).","journal-title":"Journal of Machine Learning Research"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1146\/annurev-statistics-040120-010930"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1029\/2012GL050874"},{"key":"e_1_3_2_1_22_1","volume-title":"The Arctic's rapidly shrinking sea ice cover: a research synthesis. Climatic change 110, 3","author":"Stroeve Julienne C","year":"2012","unstructured":"Julienne C Stroeve, Mark C Serreze, Marika M Holland, Jennifer E Kay, James Malanik, and Andrew P Barrett. 2012. The Arctic's rapidly shrinking sea ice cover: a research synthesis. Climatic change 110, 3 (2012), 1005--1027."},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1145\/3589132.3628373"},{"key":"e_1_3_2_1_24_1","volume-title":"Dynamical Systems and Turbulence, Warwick 1980: proceedings of a symposium held at the University of Warwick 1979\/80","author":"Takens Floris","unstructured":"Floris Takens. 2006. Detecting strange attractors in turbulence. In Dynamical Systems and Turbulence, Warwick 1980: proceedings of a symposium held at the University of Warwick 1979\/80. Springer, 366--381."},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"crossref","first-page":"445","DOI":"10.1038\/nclimate2568","article-title":"Causal feedbacks in climate change","volume":"5","author":"Van Nes Egbert H","year":"2015","unstructured":"Egbert H Van Nes, Marten Scheffer, Victor Brovkin, Timothy M Lenton, Hao Ye, Ethan Deyle, and George Sugihara. 2015. Causal feedbacks in climate change. Nature Climate Change 5, 5 (2015), 445--448.","journal-title":"Nature Climate Change"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"crossref","first-page":"1175","DOI":"10.1007\/s10712-014-9284-0","article-title":"Effects of Arctic sea ice decline on weather and climate: A review","volume":"35","author":"Vihma Timo","year":"2014","unstructured":"Timo Vihma. 2014. Effects of Arctic sea ice decline on weather and climate: A review. Surveys in Geophysics 35, 5 (2014), 1175--1214.","journal-title":"Surveys in Geophysics"},{"key":"e_1_3_2_1_27_1","volume-title":"Zhi Li, and Weili Duan.","author":"Wang Yunqian","year":"2018","unstructured":"Yunqian Wang, Jing Yang, Yaning Chen, Philippe De Maeyer, Zhi Li, and Weili Duan. 2018. Detecting the causal effect of soil moisture on precipitation using convergent cross mapping. Scientific reports 8, 1 (2018), 1--8."},{"key":"e_1_3_2_1_28_1","volume-title":"Distinguishing time-delayed causal interactions using convergent cross mapping. Scientific reports 5, 1","author":"Ye Hao","year":"2015","unstructured":"Hao Ye, Ethan R Deyle, Luis J Gilarranz, and George Sugihara. 2015. Distinguishing time-delayed causal interactions using convergent cross mapping. Scientific reports 5, 1 (2015), 1--9."}],"event":{"name":"SIGSPATIAL '25: The 33rd ACM International Conference on Advances in Geographic Information Systems","location":"Minneapolis MN USA","acronym":"PoIDS '25","sponsor":["SIGSPATIAL ACM Special Interest Group on Spatial Information"]},"container-title":["Proceedings of the 1st ACM SIGSPATIAL International Workshop on Polar Data Science"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3764922.3771172","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,2]],"date-time":"2025-12-02T18:28:33Z","timestamp":1764700113000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3764922.3771172"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,11,3]]},"references-count":28,"alternative-id":["10.1145\/3764922.3771172","10.1145\/3764922"],"URL":"https:\/\/doi.org\/10.1145\/3764922.3771172","relation":{},"subject":[],"published":{"date-parts":[[2025,11,3]]},"assertion":[{"value":"2025-12-02","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}