First Steps of Data Assimilation Techniques Implemented in the Physical Salammbo 3D Simulator for the Restitution of the Earth Radiation Belts

Details First Steps of Data Assimilation Techniques Implemented in the Physical Salammbo 3D Simulator for the Restitution of the Earth Radiation Belts First Steps of Data Assimilation Techniques Implemented in the Physical Salammbo 3D Simulator for the Restitution of the Earth Radiation Belts

Dec 2005

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2005agufmsm12b..04m&link_type=abstract

American Geophysical Union, Fall Meeting 2005, abstract #SM12B-04

Physics

Geophysics

2722 Forecasting (7924, 7964), 2753 Numerical Modeling, 2794 Instruments And Techniques, 3200 Mathematical Geophysics (0500, 4400, 7833)

Scientific paper

Physical models cannot reproduce exactly the reality. Diffusion codes like Salammbo 3D simulator of the Earth radiation belts have still some inaccurate input parameters and a viable prediction of the belts with only a physical model is utopian nowadays. Data assimilation techniques have been developed for more than fifty years in Meteorology and are now being transposed in other fields like Oceanography. These techniques, by regularly correcting the prediction of dynamical models with observations, allow forecasting and even improvements of the simulator used. Thus, the introduction of data assimilation techniques in the radiation belts modelling could considerably improve the accuracy of the restitution and prediction of the reality. For two years now, efforts have been made at ONERA to implement direct data assimilation in the Salammbo code, using cross-calibrated satellite measurements. This first step has already put forward great improvements in the dynamical restitution of the radiation belts. Here, we present this technique and introduce further steps of filtered data assimilation methods implemented in the Salammbo code.

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