The Potential of Grid-Enabled Learning for High Impact Weather with LEAD

Author

Yalda, Sepideh ; Clark, Richard

Author_Institution

Dept. of Earth Sci., Millersville Univ., Millersville, PA

fYear

2008

fDate

7-12 Dec. 2008

Firstpage

459

Lastpage

459

Abstract

Linked environments for atmospheric discovery (LEAD) is a bold and revolutionary paradigm that through a Web-based service oriented architecture (SOA) exposes the user to a rich environment of data, models, data mining and visualization/analysis tools, enabling the user to ask science questions of applications while the complexity of the software and middleware managing these applications is hidden from the user. The LEAD education initiative has focused on making available to students the same data, tools, and services used by researchers but with an authentic and contextualized environment for teaching and learning.

Keywords

Internet; atmospheric techniques; data mining; geophysics computing; grid computing; middleware; software architecture; LEAD; Web-based service oriented architecture; data mining; grid-enabled learning; high impact weather; linked environments for atmospheric discovery; middleware; revolutionary paradigm; Application software; Atmospheric modeling; Context-aware services; Data mining; Data visualization; Environmental management; Lead; Middleware; Service oriented architecture; Software tools; Cyberinfrastructure; Data; Education; Geoscience; LEAD; Weather;

fLanguage

English

Publisher

ieee

Conference_Titel

eScience, 2008. eScience '08. IEEE Fourth International Conference on

Conference_Location

Indianapolis, IN

Print_ISBN

978-1-4244-3380-3

Electronic_ISBN

978-0-7695-3535-7

Type

conf

DOI

10.1109/eScience.2008.73

Filename

4736847