Computer Science – Performance
Scientific paper
May 2002
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2002agusmsh52a..11f&link_type=abstract
American Geophysical Union, Spring Meeting 2002, abstract #SH52A-11
Computer Science
Performance
2720 Energetic Particles, Trapped, 2740 Magnetospheric Configuration And Dynamics, 2788 Storms And Substorms, 2134 Interplanetary Magnetic Fields, 2164 Solar Wind Plasma
Scientific paper
As an initial effort to construct a new-generation of empirical trapped radiation models, a new magnetospheric state-based trapped radiation database is being constructed. An empirical model of a system is a statistical description of the system obtained by synthesizing a set of random samplings of the system. The key to constructing good empirical models thus depends on (1) having good (pertinent) data, and (2) good analysis techniques. To mitigate against early obselescence when updated or new data becomes available, the models' underlying database must be update-able and extensible. In addition, to ensure high model performance, the data base must be parameterize-able, so that the selection of data from the data base for analysis or modeling can vary with magnetospheric conditions or states that vary with solar wind and IMF driving conditions and magnetospheric responses [see Fung, 1996]. By following an object-oriented design, the new trapped radiation data base can be easily updated, extended and re-parameterized. In this paper, we describe our effort in constructing a prototype particle radiation data base for the LWS Program. Fung, S. F., Recent development in the NASA trapped radiation models, Radiation Belts Models and Standards, Geophysical Monogr., 97, AGU, Washington, D. C., 79-91, 1996.
Bell E. V.
Candey Robert M.
Fung Shing F.
Golightly Michael J.
Huston Stuart L.
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