Issue |
J. Space Weather Space Clim.
Volume 5, 2015
|
|
---|---|---|
Article Number | A1 | |
Number of page(s) | 8 | |
DOI | https://doi.org/10.1051/swsc/2015001 | |
Published online | 03 February 2015 |
Research Article
The DTM-2013 thermosphere model
CNES, Department of Terrestrial and Planetary Geodesy, 18 avenue E. Belin, 31401
Toulouse Cedex 4, France
* Corresponding author: sean.bruinsma@cnes.fr
Received:
8
October
2014
Accepted:
27
December
2014
Aims – The Drag Temperature Model (DTM) is a semi-empirical model describing the temperature, density, and composition of the Earth’s thermosphere. DTM2013 was developed in the framework of the Advanced Thermosphere Modelling and Orbit Prediction project (ATMOP). It is evaluated and compared with DTM2009, the pre-ATMOP benchmark, and the Committe on Space Research (COSPAR) reference model for atmospheric drag JB2008.
Methods – The total density data used in this study, including the high-resolution CHAMP, GRACE and GOCE data, cover the 200–900 km altitude range and all solar activities. DTM2013 was constructed with the data assimilated in DTM2009, but with more GRACE data, and low-altitude GOCE data in particular. The solar activity proxy, F10.7 in DTM2009, has been replaced with F30. The bias and precision of the models is evaluated by comparing to the observations according to a metric, which consists of computing mean, RMS, and correlation. Secondly, the residuals are binned, which procedure aids in revealing specific model errors.
Results – This evaluation shows that DTM2013 is the least biased and most precise model for the data that were assimilated. Comparison to independent density data shows that it is also the most accurate model overall. It is a significant improvement over DTM2009 under all conditions and at all altitudes, but the largest improvements are obtained at low altitude thanks to GOCE data. The precision of JB2008 decreases with altitude, which is due to its modeling of variations in local solar time and seasons in particular of the exospheric temperature rather than modeling these variations for the individual constituents.
Key words: Density modeling / Temperature modeling / Satellite drag / Orbit determination
© S. Bruinsma, Published by EDP Sciences 2015
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.