Title: EarthCube Building Blocks: Integrating Discrete and Continuous Data

标题：EarthCube 构建模块：集成离散和连续数据

• 批准号: 1343785
• 负责人: David Maidment
• 金额: $ 90万
• 依托单位: University of Texas at Austin
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-09-15 至 2016-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1343785&HistoricalAwards=false
• 关键词: Title; EarthCube; Building; Blocks; Integrating

Geoscience information is defined on both discrete and continuous spatial domains. Discretespatial domains include point locations of observations at measurement sites and GIS coveragesof point, line and area features used for observation and data interpretation. Continuousspatial domains are used in geophysical fluid sciences such as for the atmosphere, oceans,and land subsurface to describe arrays of measured or modeled variables defined on a meshof uniformly spaced points. Data defined on either discrete or continuous spatial domainsmay also vary discretely or continuously in time, ranging from one-time samples, to samplesat random points of time, to samples at regularly spaced intervals of time. This projectbuilds upon previous work called "Crossing the Digital Divide" focused on integrated discoveryof common information themes including precipitation in discrete data from the CUAHSI hydrologicinformation system and continuous data from the Unidata THREDDS data server. This projectwill advance that work by investigating in the first year creating new technologies for publishingand discovery of information through the Global Earth Observation System of Systems (GEOSS)Common Infrastructure, the definition of a Common Information Model for discrete and continuousdata, development of shard software tools for using this Common Information Model, and extensionof the concepts to similar information in the Polar, Ocean and Solid Earth Sciences.This work builds on existing NSF data infrastructures and extends them in a reasonable way between two domains, Hydrology and Atmospheric Sciences, which are closely related intellectually, but have very different data environments. Somefurther extension into the Polar, Ocean and Solid Earth Sciences is also attainable. The project include the engagement of an international spectrum of collaboratorsthrough the Global Earth Observing System of Systems.

地球科学信息是在离散和连续的空间域上定义的。离散空间域包括测量点的观测点位置和用于观测和数据解释的点、线和面特征的GIS覆盖。连续空间域用于地球物理流体科学，如大气、海洋和陆地地下，以描述定义在均匀间隔点的网格上的测量或建模变量的阵列。定义在离散或连续空间域上的数据也可以在时间上离散或连续地变化，范围从一次性样本到随机时间点的样本，再到规则间隔时间的样本。该项目建立在以前称为“跨越数字鸿沟”的工作基础上，重点是综合发现共同的信息主题，包括CUAHSI水文信息系统的离散数据和Unidata THREDDS数据服务器的连续数据中的降水量。该项目通过在第一年调查创建新技术来推进这项工作，通过全球对地观测分布式系统（全球测地系统）共同基础设施，定义离散和连续数据的共同信息模型，开发使用该共同信息模型的碎片软件工具，并将概念扩展到极地的类似信息，海洋和固体地球科学。这项工作建立在现有的NSF数据基础设施，并在水文学和大气科学这两个领域之间以合理的方式进行扩展，这两个领域在智力上密切相关，但数据环境非常不同。还可以进一步扩展到极地、海洋和固体地球科学。该项目包括通过全球对地观测分布式系统吸收国际合作者参与。