{"title":"Tracking δ13C and δ18O fluctuations uncovers stable modes and key patterns of paleoclimate","authors":"Shifeng Sun , Haiying Wang , Yongjian Huang","doi":"10.1016/j.gsf.2024.101805","DOIUrl":null,"url":null,"abstract":"<div><p>The examination of fluctuations in the correlations between <span><math><mrow><msup><mrow><mi>δ</mi></mrow><mrow><mn>13</mn></mrow></msup></mrow></math></span>C and <span><math><mrow><msup><mrow><mi>δ</mi></mrow><mrow><mn>18</mn></mrow></msup></mrow></math></span>O is of significant importance for the reconstruction of the Earth’s climate history. A key challenge in paleoclimatology is finding a suitable method to represent the correlated fluctuation system between <span><math><mrow><msup><mrow><mi>δ</mi></mrow><mrow><mn>13</mn></mrow></msup></mrow></math></span>C and <span><math><mrow><msup><mrow><mi>δ</mi></mrow><mrow><mn>18</mn></mrow></msup></mrow></math></span>O. The method must be able to handle data sets with missing or inaccurate values, while still retaining the full range of dynamic information about the system. The non-linear and complex correlations between <span><math><mrow><msup><mrow><mi>δ</mi></mrow><mrow><mn>13</mn></mrow></msup></mrow></math></span>C and <span><math><mrow><msup><mrow><mi>δ</mi></mrow><mrow><mn>18</mn></mrow></msup></mrow></math></span>O poses a challenge in developing reliable and interpretable approaches. The transition network, which involves embedding the <span><math><mrow><msup><mrow><mi>δ</mi></mrow><mrow><mn>13</mn></mrow></msup></mrow></math></span>C and <span><math><mrow><msup><mrow><mi>δ</mi></mrow><mrow><mn>18</mn></mrow></msup></mrow></math></span>O sequence into the network using phase space reconstruction, is a coarse-grained based approach. This approach is well-suited to nonlinear, complex dynamic systems, and is particularly adept at emerging knowledge from low-quality datasets. We have effectively represented the fluctuations in the correlation between <span><math><mrow><msup><mrow><mi>δ</mi></mrow><mrow><mn>13</mn></mrow></msup></mrow></math></span>C and <span><math><mrow><msup><mrow><mi>δ</mi></mrow><mrow><mn>18</mn></mrow></msup></mrow></math></span>O since <span><math><mrow><mn>66</mn></mrow></math></span> million years ago (Ma) using a system of complex network. This system, which has topological dynamical structures, is able to uncover the stable modes and key patterns in Cenozoic climate dynamics. Our findings could help to improve climate models and predictions of future climate change.</p></div>","PeriodicalId":12711,"journal":{"name":"Geoscience frontiers","volume":"15 4","pages":"Article 101805"},"PeriodicalIF":8.5000,"publicationDate":"2024-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S167498712400029X/pdfft?md5=bbb8c8270115b0c9f79124f11208db10&pid=1-s2.0-S167498712400029X-main.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Geoscience frontiers","FirstCategoryId":"89","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S167498712400029X","RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"GEOSCIENCES, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
The examination of fluctuations in the correlations between C and O is of significant importance for the reconstruction of the Earth’s climate history. A key challenge in paleoclimatology is finding a suitable method to represent the correlated fluctuation system between C and O. The method must be able to handle data sets with missing or inaccurate values, while still retaining the full range of dynamic information about the system. The non-linear and complex correlations between C and O poses a challenge in developing reliable and interpretable approaches. The transition network, which involves embedding the C and O sequence into the network using phase space reconstruction, is a coarse-grained based approach. This approach is well-suited to nonlinear, complex dynamic systems, and is particularly adept at emerging knowledge from low-quality datasets. We have effectively represented the fluctuations in the correlation between C and O since million years ago (Ma) using a system of complex network. This system, which has topological dynamical structures, is able to uncover the stable modes and key patterns in Cenozoic climate dynamics. Our findings could help to improve climate models and predictions of future climate change.
Geoscience frontiersEarth and Planetary Sciences-General Earth and Planetary Sciences
CiteScore
17.80
自引率
3.40%
发文量
147
审稿时长
35 days
期刊介绍:
Geoscience Frontiers (GSF) is the Journal of China University of Geosciences (Beijing) and Peking University. It publishes peer-reviewed research articles and reviews in interdisciplinary fields of Earth and Planetary Sciences. GSF covers various research areas including petrology and geochemistry, lithospheric architecture and mantle dynamics, global tectonics, economic geology and fuel exploration, geophysics, stratigraphy and paleontology, environmental and engineering geology, astrogeology, and the nexus of resources-energy-emissions-climate under Sustainable Development Goals. The journal aims to bridge innovative, provocative, and challenging concepts and models in these fields, providing insights on correlations and evolution.