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.

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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
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article

Integrating Big Data Analytics and Visualization in Ocean Circulation Modeling for Climate and Ecosystem Insights

Jiongyu Liu
Theoretical and Natural Science
Scientific Computing and Data Management
article

Integrating Big Data Analytics and Visualization in Ocean Circulation Modeling for Climate and Ecosystem Insights

Jiongyu Liu
article en

Abstract

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.

Theoretical and Natural ScienceVol. 84(1)
Qingdao Center of Resource Chemistry and New Materials (CN)
Openalex Percentile: Top 96%
Scientific Computing and Data Management
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Integrating Big Data Analytics and Visualization in Ocean Circulation Modeling for Climate and Ecosystem Insights — Jiongyu Liu · Theoretical and Natural Science (2025) | TGRS Research Map | TGRS