An empirical model of the thermospheric mass density derived from CHAMP satellite

• Published in: Annales geophysicae (1988) Vol. 36; no. 4; pp. 1141 - 1152
• Main Authors: Xiong, Chao, Lühr, Hermann, Schmidt, Michael, Bloßfeld, Mathis, Rudenko, Sergei
• Format: Journal Article
• Language: English
• Published: Katlenburg-Lindau Copernicus GmbH 24.08.2018; Copernicus Publications
• Subjects: Accelerometers; Analysis; Density; Electric fields; Empirical analysis; Empirical models; Evolution; Incoherent scatter radar; Lasers; Longitudinal waves; Mass; Mass spectrometry; Mathematical models; Pattern analysis; Radar; Satellite laser ranging; Satellite observation; Satellites; Scaling; Scaling factors; Solar activity; Solar cycle; Solar flux; Solar minimum; Solar wind
• ISSN: 1432-0576; 0992-7689; 1432-0576
• DOI: 10.5194/angeo-36-1141-2018

In this study, we present an empirical model, named CH-Therm-2018, of the thermospheric mass density derived from 9-year (from August 2000 to July 2009) accelerometer measurements from the CHAllenging Mini-satellite Payload (CHAMP) satellite at altitudes from 460 to 310 km. The CHAMP dataset is divided into two 5-year periods with 1-year overlap (from August 2000 to July 2005 and from August 2004 to July 2009) to represent the high-to-moderate and moderate-to-low solar activity conditions, respectively. The CH-Therm-2018 model describes the thermospheric density as a function of seven key parameters, namely the height, solar flux index, season (day of year), magnetic local time, geographic latitude and longitude, as well as magnetic activity represented by the solar wind merging electric field. Predictions of the CH-Therm-2018 model agree well with CHAMP observations (within 20 %) and show different features of thermospheric mass density during the two solar activity levels, e.g., the March–September equinox asymmetry and the longitudinal wave pattern. From the analysis of satellite laser ranging (SLR) observations of the ANDE-Pollux satellite during August–September 2009, we estimate 6 h scaling factors of the thermospheric mass density provided by our model and obtain the median value equal to 1.267±0.60. Subsequently, we scale up our CH-Therm-2018 mass density predictions by a scale factor of 1.267. We further compare the CH-Therm-2018 predictions with the Naval Research Laboratory Mass Spectrometer Incoherent Scatter Radar Extended (NRLMSISE-00) model. The result shows that our model better predicts the density evolution during the last solar minimum (2008–2009) than the NRLMSISE-00 model.