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A Web-Based Geovisual Analytical System for Climate Studies

机译:基于Web的气候研究地理视觉分析系统

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Climate studies involve petabytes of spatiotemporal datasets that are produced and archived at distributed computing resources. Scientists need an intuitive and convenient tool to explore the distributed spatiotemporal data. Geovisual analytical tools have the potential to provide such an intuitive and convenient method for scientists to access climate data, discover the relationships between various climate parameters, and communicate the results across different research communities. However, implementing a geovisual analytical tool for complex climate data in a distributed environment poses several challenges. This paper reports our research and development of a web-based geovisual analytical system to support the analysis of climate data generated by climate model. Using the ModelE developed by the NASA Goddard Institute for Space Studies (GISS) as an example, we demonstrate that the system is able to (1) manage large volume datasets over the Internet; (2) visualize 2D/3D/4D spatiotemporal data; (3) broker various spatiotemporal statistical analyses for climate research; and (4) support interactive data analysis and knowledge discovery. This research also provides an example for managing, disseminating, and analyzing Big Data in the 21st century.
机译:气候研究涉及数PB的时空数据集,这些数据集是在分布式计算资源上生成和存档的。科学家需要一种直观,方便的工具来探索分布式时空数据。地理视觉分析工具有可能为科学家提供这种直观,方便的方法,以获取气候数据,发现各种气候参数之间的关系以及在不同研究社区之间交流结果。但是,为分布式环境中的复杂气候数据实现地理视觉分析工具带来了一些挑战。本文报告了我们基于网络的地理视觉分析系统的研究和开发,以支持对气候模型生成的气候数据进行分析。以美国宇航局戈达德空间研究所(GISS)开发的ModelE为例,我们证明了该系统能够(1)通过Internet管理大量数据集; (2)可视化2D / 3D / 4D时空数据; (3)为气候研究提供各种时空统计分析; (4)支持交互式数据分析和知识发现。该研究还提供了一个在21世纪管理,传播和分析大数据的示例。

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