Integrating Big Data Analytics and Visualization in Ocean Circulation Modeling for Climate and Ecosystem Insights
Ocean circulation plays a key role in the global climate system and marine ecosystems. Accurate monitoring and modelling of ocean circulation not only contributes to an in-depth understanding of climate dynamics, but also has important applications in marine biodiversity conservation, shipping route optimization, and early warning of natural disasters (e.g., storm surges and tsunamis). With the rise of big data technologies, the volume of ocean circulation data has increased dramatically, and traditional analytical methods are difficult to cope with these complex datasets. The efficiency and accuracy of ocean circulation studies can be significantly improved by introducing big data analysis and visualisation techniques. This paper provides an overview of the application of big data analytics and visualisation methods in ocean circulation research, discusses various analysis techniques used to handle big data sets, evaluates their effectiveness, and looks at future trends and challenges in the field, future research will aim to further improve the accuracy and efficiency of ocean circulation data processing.
Authors
- Jiongyu Liu
Institutions
- Qingdao Center of Resource Chemistry and New Materials (CN)
Publication Details
- Journal
- Theoretical and Natural Science
- Published
- 2025-02-21
- DOI
- https://doi.org/10.54254/2753-8818/2025.21024
- Primary Topic
- Scientific Computing and Data Management
- Type
- article
- Field-Weighted Citation Impact
- 0.00