An empirical relation to correct storm-time thermospheric mass density modeled by NRLMSISE-00 with CHAMP satellite air drag data

作者：Zhou Y L; Ma S Y^*; Luehr H; Xiong C; Reigber C

来源：Advances in Space Research, 2009, 43(5): 819-828.

DOI：10.1016/j.asr.2008.06.016

• Thermospheric model
• Total mass density
• Magnetic storm
• Joule heating
• Ring current index
• CHAMP accelerometer

With the help of STAR (Spatial Triaxial Accelerometer for Research) accelerometer measurements oil board CHAMP (Challenging Minisatellite Payload), the global distributions of total mass density changes at about 400 km height during major magnetic storms are studied, aiming to improve the capability of current thermospheric model for predicting the storm-time mass density distribution. The density calculated by the NRLMSISE-00 model without using the geomagnetic active index as input is taken as a reference oil top of which the storm-time changes are added. fit total 19 storm events during 2001 2004 are used to perform a comprehensive statistical analysis. A relative calibration of drag coefficient along with accelerometer calibration parameters is made by fitting the CHAMP observed initial mass densities in with the NRLMSISE-00 model oil quiet days before each storm. The dependences of the storm-time changes in mass density on both the total global Joule heating power, Sigma Q(j) and the high-resolution ring current index, Sym-H, are investigated. The lag times or mass density changes with respect to the Joule heating and Sym-H variation are obtained its it function of latitude and sunlight. By using a multiple linear regression analysis with proper time shift, in empirical relation connecting storm-time changes in mass density for 400 km height with the two parameters, Sigma Q(j) and Sym-H, has been worked out for different latitude and sunlight conditions (day-side or night-side). Adding it correction calculated from the empirical relation to the NRLMSISE-00 model reference leads to a better prediction of storm-time thermospheric mass density distribution.

• 出版日期2009-3-2
• 单位武汉大学; GeoForschungsZentrum Potsdam