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| Titel |
LANL*V2.0: global modeling and validation |
| VerfasserIn |
J. Koller, S. Zaharia |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1991-959X
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| Digitales Dokument |
URL |
| Erschienen |
In: Geoscientific Model Development ; 4, no. 3 ; Nr. 4, no. 3 (2011-08-18), S.669-675 |
| Datensatznummer |
250001781
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| Publikation (Nr.) |
 copernicus.org/gmd-4-669-2011.pdf |
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| Zusammenfassung |
| We describe in this paper the new version of LANL*, an artificial neural network (ANN)
for calculating the magnetic drift invariant L*. This quantity is used for
modeling radiation belt dynamics and for space weather applications. We
have implemented the following enhancements in the new version: (1) we have
removed the limitation to geosynchronous orbit and the model can now be used
for a much larger region. (2) The new version is based on the improved magnetic
field model by Tsyganenko and Sitnov (2005) (TS05) instead of the older model by Tsyganenko
et al. (2003). We have validated the model and compared our results
to L* calculations with the TS05 model based on ephemerides for CRRES,
Polar, GPS, a LANL geosynchronous satellite, and a virtual RBSP type orbit.
We find that the neural network performs very well for all these orbits with
an error typically ΔL* < 0.2 which corresponds to an error of 3 % at
geosynchronous orbit. This new LANL* V2.0 artificial neural network is orders
of magnitudes faster than traditional numerical field line integration
techniques with the TS05 model. It has applications to real-time radiation
belt forecasting, analysis of data sets involving decades of satellite of
observations, and other problems in space weather. |
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