driftViewer:漂浮物轨迹搜索优化和海洋参数输出

IF 1.3 Q3 COMPUTER SCIENCE, SOFTWARE ENGINEERING
H.L. Varona , C. Noriega , S. Herold-Garcia , S.M.A. Lira , M. Araujo , F. Hernandez
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引用次数: 0

摘要

对漂浮物轨迹的研究和分析,如浮标和漂浮装置,已经成为理解海洋现象的基础。利用专门的软件对海洋学参数进行详细分析,使研究人员能够研究不同时空尺度上的环境变化。本文探讨了这类软件的重要性和功能,强调了它在改进研究方法和产生适用于海洋学和气象学的科学知识方面的作用。drifViewer是一个MATLAB软件包,旨在优化漂移轨迹的搜索和分析海洋学参数。它允许研究人员在AOML数据集中快速搜索漂移轨迹,创建汇总表,并将数据导出为MATLAB和NetCDF格式。driftViewer通过提高对漂流流的建模和预测能力,为海洋学和海洋地质学的科学研究做出了贡献,这对气候变化、洋流动力学和海洋栖息地保护的研究至关重要。它也是研究浮油、微塑料、化学和生物物种轨迹的有用工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
driftViewer: Optimization of drifter trajectory search and export of oceanographic parameters
The study and analysis of drifter trajectories, such as buoys and floating devices, have become fundamental to understanding oceanographic phenomena. The detailed analysis of oceanographic parameters using specialized software allows researchers to study environmental changes on different temporal and spatial scales. This article explores the importance and functionalities of this type of software, highlighting its role in improving research methodologies and generating scientific knowledge applicable to oceanography and meteorology. drifViewer is a MATLAB package designed to optimize the search for drift trajectories and analyze oceanographic parameters. It allows researchers to search for drift trajectories in the AOML dataset quickly, create summary tables, and export data to MATLAB and NetCDF formats. driftViewer contributes to scientific research in oceanography and marine geology by improving the ability to model and predict drifting currents, which is essential for studies on climate change, ocean current dynamics, and marine habitat conservation. It is also a useful tool for studying the trajectories of oil slicks, microplastics, and chemical and living species.
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来源期刊
Software Impacts
Software Impacts Software
CiteScore
2.70
自引率
9.50%
发文量
0
审稿时长
16 days
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