Efficient computation and visualization of ionospheric volumetric images for the enhanced interpretation of Incoherent scatter radar data

IF 3.2 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
J. Araújo , F. López , S. Johansson , A. Westman , M. Bodin
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引用次数: 0

Abstract

Incoherent scatter radar (ISR) techniques provide reliable measurements for the analysis of ionospheric plasma. Recent developments in ISR technologies allow the generation of high-resolution 3D data. Examples of such technologies employ the so-called phased-array antenna systems like the AMISR systems in North America or the upcoming EISCAT_3D in the Northern Fennoscandia region. EISCAT_3D will be capable of generating the highest resolution ISR datasets that have ever been measured. We present a novel fast computational strategy for the generation of high-resolution and smooth volumetric ionospheric images that represent ISR data. Through real-time processing, our computational framework will enable a fast decision-making during the monitoring process, where the experimental parameters are adapted in real time as the radars monitor specific phenomena. Real-time monitoring would allow the radar beams to be conveniently pointed at regions of interest and would therefore increase the science impact. We describe our strategy, which implements a flexible mesh generator along with an efficient interpolator specialized for ISR technologies. The proposed strategy is generic in the sense that it can be applied to a large variety of data sets and supports interactive visual analysis and exploration of ionospheric data, supplemented by interactive data transformations and filters.
电离层体积图像的高效计算和可视化,以增强非相干散射雷达数据的解释
非相干散射雷达(ISR)技术为电离层等离子体分析提供了可靠的测量方法。ISR技术的最新发展使高分辨率3D数据的生成成为可能。这种技术的例子采用了所谓的相控阵天线系统,如北美的AMISR系统或即将在北芬诺斯坎迪亚地区推出的EISCAT_3D。EISCAT_3D将能够生成有史以来最高分辨率的ISR数据集。我们提出了一种新的快速计算策略,用于生成代表ISR数据的高分辨率和平滑的体积电离层图像。通过实时处理,我们的计算框架将能够在监测过程中快速决策,在雷达监测特定现象时实时调整实验参数。实时监测将使雷达波束能够方便地指向感兴趣的区域,从而增加科学影响。我们描述了我们的策略,它实现了一个灵活的网格生成器以及一个专门用于ISR技术的高效插值器。所提出的策略是通用的,因为它可以应用于各种各样的数据集,并支持电离层数据的交互式可视化分析和探索,辅以交互式数据转换和过滤器。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Applied Computing and Geosciences
Applied Computing and Geosciences Computer Science-General Computer Science
CiteScore
5.50
自引率
0.00%
发文量
23
审稿时长
5 weeks
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