GSTDTAP
项目编号1504432
PolarGlobe: Powering up Polar Cyberinfrastructure Using M-Cube Visualization for Polar Climate Studies
Wenwen Li
主持机构Arizona State University
项目开始年2015
2015-07-01
项目结束日期2018-06-30
资助机构US-NSF
项目类别Standard Grant
项目经费449974(USD)
国家美国
语种英语
英文摘要The project aims at developing and implementing techniques for multivariate, multi-dimensional, and multi-faceted visualizations to support polar climate studies. Specifically, the project will focus on the following objectives. Objective 1: develop a "PolarGlobe" virtual earth and map engine with programming interface aided by cutting-edge visualization techniques that will serve as an Arctic research platform. The platform will support virtual scene simulation, volumetric graphics rendering, true terrain rendering, and dynamic scene alternation. Objective 2: A location-aware, cyber-enabled multivariate visualization technique aimed at supporting cross-sectional and longitudinal climate studies. Objective 3: A 2.5D visualization module that realizes seamless service-oriented integration of climate data with true-terrain scenes supported by a highly efficient, high spatial-resolution terrain server. Objective 4: A multi-faceted visualization module for examining complex climate patterns from different perspectives. Objective 5: A general visualization platform to support interactive, intuitive and responsive visualization of polar climate data. The development of this new polar CI portal visualization technique will serve as an intuitive, interactive and collaborative decision-making platform to uncover the unknown spatiotemporal dynamics in the polar climate and to advance the understanding of regional to global climate complexity. The cyberinfrastructure platform here developed will also serve as a very effective teaching tool for students in climate studies, polar sciences and geographic information science.
来源学科分类Geosciences - Polar Programs
文献类型项目
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/68205
专题环境与发展全球科技态势
推荐引用方式
GB/T 7714
Wenwen Li.PolarGlobe: Powering up Polar Cyberinfrastructure Using M-Cube Visualization for Polar Climate Studies.2015.
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