中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
A geospatial skeleton framework for unveiling the 3D structure and dynamics of marine heatwaves from earth observation data

文献类型:期刊论文

作者Yu, Jianing2,3; Zhang, Hengcai2,3; Wang, Peixiao2,3; Lu, Feng2,3; Ning, Jicai1
刊名GEO-SPATIAL INFORMATION SCIENCE
出版日期2025-08-23
页码16
关键词Marine heatwaves (MHWs) 3D geospatial structure 4D spatio-temporal evolution geospatial skeletons graph algorithms Northeast Pacific MHW ENSO events ocean temperature anomalies
ISSN号1009-5020
DOI10.1080/10095020.2025.2547069
通讯作者Zhang, Hengcai(zhanghc@lreis.ac.cn)
英文摘要Understanding the multi-dimensional structure and evolution of geospatial phenomena is a fundamental challenge in Earth system science. Marine heatwaves (MHWs), as critical 4D spatio-temporal events in the ocean, exhibit complex vertical heterogeneity and dynamic interactions across latitude, longitude, depth, and time. However, traditional geospatial methods often oversimplify such phenomena into 2D profiles or homogeneous 3D blobs, limiting their ability to capture intrinsic 3D structure and evolutionary patterns. To fill this gap, we propose a novel data-driven framework for constructing 3D skeleton representations of MHWs, enabling fine-grained analysis of their internal structure and spatio-temporal evolution. This framework represents MHW skeletons as graph structure, where nodes denote localized intensity centers and edges quantify morphological correlations of spatial aggregation between subsurface layers. The MHW skeletons are constructed using graph algorithms applied to each snapshot and tracked over time through five evolutionary operators. Applied to the 2014-2016 Northeast Pacific (NEP) and Tropical Pacific in the epipelagic zone (0-200 m), the proposed method reveals distinct vertical structures: ENSO-driven MHW skeletons exhibited greater vertical complexity than coastal MHWs, featuring steep longitudinal slopes (up to 120 degrees). Additionally, two foundational MHW skeleton structures, I-shape and Y-shape, were identified. Notably, dynamic merging and splitting process between subsurface MHWs were captured, highlighting the framework's capability to uncover hidden interactions in ocean systems. Beyond MHWs, this methodology provides a transferable paradigm for analyzing other 3D geospatial phenomena, enhancing our understanding of their structural complexity and dynamic evolution.
WOS关键词TEMPERATURE
WOS研究方向Remote Sensing
语种英语
WOS记录号WOS:001560334700001
资助机构National Key Research and Development Program of China
源URL[http://ir.yic.ac.cn/handle/133337/40790]  
专题烟台海岸带研究所_海岸带信息集成与综合管理实验室
通讯作者Zhang, Hengcai
作者单位1.Chinese Acad Sci, Yantai Inst Coastal Zone Res, CAS Key Lab Coastal Environm Proc & Ecol Remediat, Yantai, Peoples R China
2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing, Peoples R China
3.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing, Peoples R China
推荐引用方式
GB/T 7714
Yu, Jianing,Zhang, Hengcai,Wang, Peixiao,et al. A geospatial skeleton framework for unveiling the 3D structure and dynamics of marine heatwaves from earth observation data[J]. GEO-SPATIAL INFORMATION SCIENCE,2025:16.
APA Yu, Jianing,Zhang, Hengcai,Wang, Peixiao,Lu, Feng,&Ning, Jicai.(2025).A geospatial skeleton framework for unveiling the 3D structure and dynamics of marine heatwaves from earth observation data.GEO-SPATIAL INFORMATION SCIENCE,16.
MLA Yu, Jianing,et al."A geospatial skeleton framework for unveiling the 3D structure and dynamics of marine heatwaves from earth observation data".GEO-SPATIAL INFORMATION SCIENCE (2025):16.

入库方式: OAI收割

来源:烟台海岸带研究所

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