Big Earth science data offer the scientific community today great opportunities. Many more studies at large scale, long term, and high resolution can now be conducted using the rich information collected by remote sensing satellites, ground-based sensor networks, and even social media input. However, the hundreds of terabytes of information collected and compiled on an hourly basis by NASA and other government agencies present a significant challenge for atmospheric scientists seeking to improve the understanding of the Earth atmospheric system. These challenges include effective discovery, organization, analysis, and visualization of large amounts of data. This paper reports the outcomes of an NSF-funded project that developed a geospatial cyberinfrastructure-the A2CI (Atmospheric Analysis Cyberinfrastructure)-to support atmospheric research. We first introduce the service-oriented system framework, then describe in detail the implementation of the data discovery module, data management module, data integration module, data analysis and visualization modules following the cloud-computing principles-Data as a Service, Software as a Service, Platform as a Service, and Infrastructure as a Service. We demonstrate the graphic user interface by performing an analysis between Sea Surface Temperature and the intensity of tropical storms in the North Atlantic and Pacific Oceans. We expect this work to contribute to the technical advancement of cyberinfrastructure research as well as to the development of an online, collaborative scientific analysis system for atmospheric science.
|Original language||English (US)|
|Title of host publication||Cloud Computing in Ocean and Atmospheric Sciences|
|Number of pages||25|
|State||Published - Mar 24 2016|
ASJC Scopus subject areas
- Environmental Science(all)