Computer Science – Performance
Scientific paper
Dec 2005
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2005agufmsm51d..08g&link_type=abstract
American Geophysical Union, Fall Meeting 2005, abstract #SM51D-08
Computer Science
Performance
2720 Energetic Particles: Trapped, 2722 Forecasting (7924, 7964), 2774 Radiation Belts, 7924 Forecasting (2722), 7959 Models
Scientific paper
Extended periods of relativistic electron intensity at geosynchronous orbit can create severe deep-charging hazards for satellites. Several models have been developed over the last fifteen years to predict electron flux levels using solar wind and geomagnetic indexes as inputs. We analyze four of these models, USAF and NOAA/Space Environment Center after Baker et al. [1990], Koons and Gorney [1991], Li [2004], and Rigler et al. [2004], as a function of the solar cycle to determine which ones give the best 1, 2 and 3 day forecasts. The predictions of each model are compared to the standard GOES > 2 MeV electron flux and the performance measured by calculating skill scores in which the subject forecast is compared to a persistence reference forecast. Preliminary results will be presented.
Ginet Greg
Joshua Rigler E.
Li Xiaoliang
Onsager T.
Perry Kevin
No associations
LandOfFree
Comparing Relativistic Electron Prediction Models at Geosynchronous does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Comparing Relativistic Electron Prediction Models at Geosynchronous, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Comparing Relativistic Electron Prediction Models at Geosynchronous will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-1028884