Abstract | ||
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Two strategies were developed to efficiently access and use the National Oceanic and Atmospheric Administration (NOAA) Comprehensive Large Array-data Stewardship System (CLASS) data repository with standard programming interfaces and specifications. One strategy, the selective duplication system (SDS), automatically duplicates data for focused areas. Another strategy, asynchronous data serving (ADS), serves data on demand. Both strategies have been implemented for serving data for algorithms using GOES data that detect and track severe weather events. Results showed the role of standards and well-known specifications. Data access delay is reduced. Interoperability is achieved. |
Year | DOI | Venue |
---|---|---|
2008 | 10.1109/IGARSS.2008.4780033 | IGARSS |
Keywords | Field | DocType |
goes data,geophysics computing,noaa,web services,comprehensive large array-data stewardship system,asynchronous data serving,sds,asynchrony,ads,meteorology,web-based dynamic geospatial data driven system,severe weather events detection,national oceanic and atmospheric administration,selective duplication system,data access delay,web coverage service,standard programming interfaces,class data repository,severe weather events tracking,transaction,interoperability,data mining,satellites,geospatial data,real time systems,geoscience,earth,data access,information science,information retrieval | Geospatial analysis,Asynchronous communication,Computer science,Interoperability,Remote sensing,Information repository,Web application,Web service,Data access,Database,Web Coverage Service | Conference |
Volume | ISBN | Citations |
5 | 978-1-4244-2808-3 | 0 |
PageRank | References | Authors |
0.34 | 3 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Genong Yu | 1 | 236 | 23.86 |
Peichuan Li | 2 | 18 | 2.39 |
Huilin Wang | 3 | 16 | 1.92 |
Liping Di | 4 | 811 | 98.92 |
John F. Moses | 5 | 6 | 1.18 |