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Complexity Computational Environment: Data Assimilation SERVOGridWe are using Web (Grid) service technology to demonstrate the assimilation of multiple distributed data sources (a typical data grid problem) into a major parallel high-performance computing earthquake forecasting code. Such a linkage of Geoinformatics with Geocomplexity demonstrates the value of the Solid Earth Research Virtual Observatory (SERVO) Grid concept, and advance Grid technology by building the first real-time large-scale data assimilation grid Here we develop the next steps for both the SERVO concept and the identified need for a Solid Earth problem-solving environment. We use a challenging motivating problem of importance to NASA namely integrating NASA space geodetic observations with numerical simulations of a changing earth.
Document ID
20070023695
Acquisition Source
Jet Propulsion Laboratory
Document Type
Preprint (Draft being sent to journal)
External Source(s)
Authors
Donnellan, Andrea
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Parker, Jay
(Jet Propulsion Lab., California Inst. of Tech. Pasadena, CA, United States)
Fox, Geoffrey
(Indiana Univ. Bloomington, IN, United States)
Pierce, Marlon
(Indiana Univ. Bloomington, IN, United States)
Rundle, John
(California Univ. Davis, CA, United States)
McLeod, Dennis
(University of Southern California Los Angeles, CA, United States)
Date Acquired
August 23, 2013
Publication Date
June 22, 2004
Subject Category
Geosciences (General)
Meeting Information
Meeting: NASA Earth Science Technology Conference
Location: Palo Alto, CA
Country: United States
Start Date: June 26, 2004
Sponsors: NASA Headquarters
Distribution Limits
Public
Copyright
Other
Keywords
data assimiliation
computational environment
Solid Earth Research Virtual Observatory (SERVO) Grid

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