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Found 8 entries in the Bibliography.
Showing entries from 1 through 8
| 2020 |
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A new model of exospheric temperatures has been developed, with the objective of predicting global values with greater spatial and temporal accuracy. From these temperatures, the neutral densities in the thermosphere can be calculated, through use of the Naval Research Laboratory Mass Spectrometer and Incoherent Scatter radar Extended (NRLMSISE-00) model. The exospheric temperature model is derived from measurements of the neutral densities on several satellites. These data were sorted into triangular c ... Weimer, D.; Mehta, P.; Tobiska, W.; Doornbos, E.; Mlynczak, M.; Drob, D.; Emmert, J.; Published by: Space Weather Published on: 12/2019 YEAR: 2020 DOI: 10.1029/2019SW002355 |
| 2018 |
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How might the thermosphere and ionosphere react to an extreme space weather event? This chapter explores how the thermosphere and ionosphere (T-I) might respond to extreme solar events. Three different scenarios are considered: (1) an increase in solar UV and EUV radiation for a number of days, (2) an extreme enhancement in the solar X-rays and EUV radiation associated with a flare, and (3) an extreme CME driving a geomagnetic storm. Estimating the response to the first two scenarios is reasonably well defined, and although they would certainly impact the T-I system, those impacts could potentially be miti ... Fuller-Rowell, Tim; Emmert, John; Fedrizzi, Mariangel; Weimer, Daniel; Codrescu, Mihail; Pilinski, Marcin; Sutton, Eric; Viereck, Rodney; Raeder, Joachim; Doornbos, Eelco; Published by: Published on: YEAR: 2018 DOI: 10.1016/B978-0-12-812700-1.00021-2 |
| 2015 |
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We study the ionospheric response to the geomagnetic storm of 17-18 March 2015 (the St. Patrick s Day 2015 storm) that was up to now the strongest in the 24th solar cycle (minimum Astafyeva, Elvira; Zakharenkova, Irina; Foerster, Matthias; Doornbos, Eelco; Encarnacao, Joao; Siemes, Christian; Published by: Published on: |
| 2014 |
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Forcing of the Coupled Ionosphere-Thermosphere (IT) System During Magnetic Storms
Huang, Cheryl; Huang, Yanshi; Su, Yi-Jiun; Sutton, Eric; Hairston, Marc; Coley, Robin; Doornbos, Eelco; Zhang, Yongliang; Published by: Published on: |
| 2012 |
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Producing density and crosswind data from satellite dynamics observations Emmert JT, Meier RR, Picone JM, Lean JL, Christensen AB (2006) Thermospheric density 2002–2004: TIMED/GUVI dayside limb observations and satellite drag. J Geophys Res 111( Published by: Published on: YEAR: 2012 DOI: https://doi.org/10.1007/978-3-642-25129-0_4 |
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Empirical modelling of the thermosphere This chapter will describe the history, context, application and limitations of empirical thermosphere models. Section 2.1 will give an introduction to the atmospheric structure and Published by: Published on: YEAR: 2012 DOI: https://doi.org/10.1007/978-3-642-25129-0_2 |
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Thermospheric density and wind determination from satellite dynamics
Published by: Published on: YEAR: 2012 DOI: 10.1007/978-3-642-25129-0 |
| 2008 |
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Use of two-line element data for thermosphere neutral density model calibration Traditional empirical thermospheric density models are widely used in orbit determination and prediction of low-Earth satellites. Unfortunately, these models often exhibit large density errors of up to around 30\% RMS. Density errors translate into orbit errors, adversely affecting applications such as re-entry operations, manoeuvre planning, collision avoidance and precise orbit determination for geodetic missions. The extensive database of two-line element (TLE) orbit data contains a wealth of information on satellite drag ... Doornbos, Eelco; Klinkrad, Heiner; Visser, Pieter; Published by: Advances in Space Research Published on: YEAR: 2008 DOI: https://doi.org/10.1016/j.asr.2006.12.025 thermosphere density; satellite drag; Orbit determination; two-line elements |
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