中国高寒环境联合观测研究云

Yufang Min, Yaonan Zhang, J. Huo, Keting Feng, Jianfang Kang, Guohui Zhao
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引用次数: 0

摘要

近年来,数据-模型-模拟的科研模式已成为支持高寒环境(高寒地区和高纬度寒冷地区)地表过程研究的主要方法之一。这种研究模式需要基于数据、模型、高性能计算、可视化和协同的e-Geoscience环境的支持。本文基于云计算技术,构建了中国高寒地区地学研究的高效平台——中国高寒环境联合观测研究云(HeorCloud)。HeorCloud实现了名为Gateway的统一服务系统,用于实现数据、模型、计算、可视化资源的组合和优化配置。最终,该平台除了提供数据、模型和计算资源共享的基础服务外,还基于Gateway构建了包含数据、分析工具、模型和计算资源的某些专业领域的在线研究社区。目前,该平台已实现了适用于中国高寒环境的大气、水文、遥感、冻土研究共同体,并不断拓展资源。
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High-Cold Environment Joint Observation and Research Cloud of China
In recent years, the scientific research model of Data - Model - Simulating has become one of the main methods to support the surface process research in the high-cold environment (alpine cold area and high latitude cold area). This kind of research mode needs the e-Geoscience environment based on data, models, high performance computing, and visualization and collaborative to support. In this paper, a highly efficient platform named High-cold environment joint Observation and Research cloud of China (HeorCloud) is established for Geoscience research in high and cold regions of china based on cloud computing technologies. HeorCloud implemented the unified service system named Gateway, be used to achieve the resources of data, model, computing, visualization combination and optimization configuration. Ultimately, besides providing the basic services of data, model and computing resource sharing, the platform also constructs online research community of some professional field contains data, analytical tools, models and computing resources based on Gateway. So far, the platform has realized the atmosphere, hydrology, remote sensing, permafrost research community applicable to the high-cold environment of China, and has been constantly expanding resources.
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