2015
DOI: 10.1051/swsc/2015001
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The DTM-2013 thermosphere model

Abstract: 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 … Show more

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Cited by 157 publications
(108 citation statements)
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“…As expected, densities from our GOCE model are in good agreement with the observations. However, densities predicted from the MSIS00 model are greater than the GOCE observations, consistent with the results of Zhang et al (2014) and Bruinsma et al (2014Bruinsma et al ( , 2015Bruinsma et al ( , 2017. The mean ratios between the results of our GOCE and MSISE00 models and the observations are 1.012 and 1.334, with standard deviations of about 0.101 and 0.176, respectively.…”
Section: Goce Density Modelsupporting
confidence: 85%
“…As expected, densities from our GOCE model are in good agreement with the observations. However, densities predicted from the MSIS00 model are greater than the GOCE observations, consistent with the results of Zhang et al (2014) and Bruinsma et al (2014Bruinsma et al ( , 2015Bruinsma et al ( , 2017. The mean ratios between the results of our GOCE and MSISE00 models and the observations are 1.012 and 1.334, with standard deviations of about 0.101 and 0.176, respectively.…”
Section: Goce Density Modelsupporting
confidence: 85%
“…The F10.7 model cannot reproduce the densities without significant bias after 2010, reaching 50-60% for periods that F10.7 is 10-20 sfu lower than F30*. The mean (RMS) of the density ratios using all data is 1.172 (0.321) and 1.061 (0.233) with F10.7 and F30*, respectively; for the period April 2003-December 2009(2010-2015 the mean and standard deviation of the density ratios is 1.056 and 0.143 (1.352 and 0.172) and 1.022 and 0.119 (1.105 and 0.132), respectively. So it appears that we have two distinct periods: for the first period, both models predict density with rather small biases on average, but from about 2010 onwards both models are underestimating density systematically.…”
Section: Model Performance With F30 and F107mentioning
confidence: 93%
“…Currently, the atmospheric forecasts are based on semiempirical models for the gas neutral composition; among those models there are MSIS-90 (Hedin, 1991), NRLMSISE-00 (Picone et al, 2002), DTM (Bruinsma, 2015) and JB2008 (Bowman et al, 2008). These models are finely tuned to match a database of flight measurements, but when applied outside the interpolated ranges they are subjected to large uncertainties in atmosphere density and composition.…”
Section: Introductionmentioning
confidence: 99%