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NRLMSIS 2.0: A whole‐atmosphere empirical model of temperature and neutral species densities
NRLMSIS® 2.0 is an empirical atmospheric model that extends from the ground to the exobase and de...
JT Emmert, E Doornbos | Status: published | Journal: J. Geophys. Res. | Year: 2020 | doi: 10.1029/2020EA001321
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The Use of Ensembles in Space Weather Forecasting
In order to advance the use of ensembles in forecasting space weather events, the workshop Ensemb...
JA Guerra, SA Murray, E Doornbos | Status: published | Journal: Space Weather | Volume: 18 | Year: 2020 | doi: 10.1029/2020SW002443
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CHAMP and GOCE thermospheric wind characterization with improved gas-surface interactions modelling
Doornbos (E.N. Doornbos WKD)
G March, T Visser, PNAM Visser, EN Doornbos | Status: published | Journal: Adv. Space Res. | Volume: 64 | Year: 2019 | First page: 1225 | Last page: 1224 | doi: 10.1016/j.asr.2019.06.023
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Improving Neutral Density Predictions Using Exospheric Temperatures Calculated on a Geodesic, Polyhedral Grid
A new model of exospheric temperatures has been developed, with the objective of predicting globa...
DR Weimer, PM Mehta, WK Tobiska, E Doornbos, MG Mlynczak, DP Drob, JT Emmert | Status: published | Journal: Space Weather | Volume: 18 | Year: 2020 | doi: 10.1029/2019SW002355
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Description of the multi-approach gravity field models from Swarm GPS data
Although the knowledge of the gravity of the Earth has improved considerably with CHAMP, GRACE, a...
J Teixeira da Encarnaç&at, P Visser, D Arnold, A Bezdek, E Doornbos | Status: published | Journal: Earth System Science Data | Volume: 12 | Year: 2020 | doi: 10.5194/essd-12-1385-2020
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