Physics
Scientific paper
Dec 2005
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2005agufmsm12b..07k&link_type=abstract
American Geophysical Union, Fall Meeting 2005, abstract #SM12B-07
Physics
2774 Radiation Belts, 3315 Data Assimilation
Scientific paper
Data assimilation is becoming an increasingly important tool for both space weather prediction and understanding of physical processes. In this study, we demonstrate how data assimilation can help to estimate unknown parameters in a radial diffusion model. We apply "state augmentation" method and Extended Kalman filter to estimate the model's lifetime parameter of high-energy electrons by assimilating observations from CRRES satellite. Systematic variations in the estimates for this parameter are attributed to a complex nature of the competing effects of various acceleration and loss processes. Practical ways to calculate observational and model errors are demonstrated, which are critical for optimality of the Kalman filter.
Friedel Reiner
Ghil Michael
Kondrashov Dmitri
Reeves Galen
Shprits Yuri Y.
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