TY - CHAP
T1 - A2CI
T2 - A Cloud-Based, Service-Oriented Geospatial Cyberinfrastructure to Support Atmospheric Research
AU - Li, WenWen
AU - Shao, H.
AU - Wang, S.
AU - Zhou, X.
AU - Wu, S.
N1 - Funding Information:
This work is supported in part by the National Science Foundation under Grants PLR-1349259, BCS-1455349 and PLR-1504432. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author and do not necessarily reflect the views of the National Science Foundation.
Funding Information:
Technically, a geospatial cyberinfrastructure (GCI) is an architecture that effectively utilizes georeferenced data to connect people, information, and computers based on the standardized data-access protocols, high-speed Internet, high-performance computing facilities (HPC), and service-oriented data management ( Yang et al., 2010 ). Since the concept’s official introduction by the National Science Foundation (NSF) in its 2003 blue ribbon report, cyberinfrastructure research has attracted much attention from the atmospheric science domain because of its promise of bringing paradigm change for future atmospheric research. As a result, several GCI portals to support atmospheric data analysis and integration have been developed:
Publisher Copyright:
© 2016 Elsevier Inc. All rights reserved.
Copyright:
Copyright 2017 Elsevier B.V., All rights reserved.
PY - 2016/3/24
Y1 - 2016/3/24
N2 - 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.
AB - 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.
KW - Crawler
KW - Cyberinfrastructure
KW - Interoperability
KW - Service-oriented
KW - Visualization
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U2 - 10.1016/B978-0-12-803192-6.00009-8
DO - 10.1016/B978-0-12-803192-6.00009-8
M3 - Chapter
AN - SCOPUS:84969724198
SN - 9780128031926
SP - 137
EP - 161
BT - Cloud Computing in Ocean and Atmospheric Sciences
PB - Elsevier Inc.
ER -