Mon Oct 13, F. Flechtner
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Bruinsma, Sean and Laurens, Sophie, 2024. Thermosphere model assessment for geomagnetic storms from 2001 to 2023. Journal of Space Weather and Space Climate, 14:28, doi:10.1051/swsc/2024027.
• from the NASA Astrophysics Data System • by the DOI System •
@ARTICLE{2024JSWSC..14...28B,
author = {{Bruinsma}, Sean and {Laurens}, Sophie},
title = "{Thermosphere model assessment for geomagnetic storms from 2001 to 2023}",
journal = {Journal of Space Weather and Space Climate},
keywords = {Thermosphere, Model assessment, Geomagnetic storm, Satellite drag},
year = 2024,
month = jan,
volume = {14},
eid = {28},
pages = {28},
abstract = "{We present an updated study for thermosphere model assessment under
geomagnetic storm conditions, defined when the geomagnetic index
ap = 80 or larger. Comparisons between five empirical models,
NRLMSISE-00, JB2008, and three versions of DTM2020, and CHAMP,
GRACE, GOCE, Swarm-A, and GRACE-FO neutral density data sets for
152 storms are presented. The storms are categorized according
to ap, as single peak or multiple peaks. After applying a model
debiasing procedure using the density data just before the onset
of a storm, the models are on average only slightly biased,
often only a few percent. This is an unexpected and reassuring
result for these relatively simple models, which were fitted to
different observations. The standard deviations of these
averages are however up to 12\% (1-sigma), which places the
small biases into perspective. The smallest biases are achieved
at the lowest altitude when comparing with GOCE data, and the
highest for GRACE. The best results, i.e. smallest bias and
standard deviation on average over all single-peak storms, over
the entire 4-Phase storm period are obtained with
DTM2020\_Intermediate and DTM2020\_Research models, while the
oldest model, NRLMSISE-00, is the least precise. However,
NRLMSISE-00 is the least biased when compared to multiple-peak
storms. As could be expected, multiple-peak storms are
reproduced with less precision than single-peak storms. The
assessment reveals that model precision decreases with altitude,
but that bias is independent of altitude, at least in the range
covered by the data, 250{\textendash}550 km.}",
doi = {10.1051/swsc/2024027},
adsurl = {https://ui.adsabs.harvard.edu/abs/2024JSWSC..14...28B},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
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Mon Oct 13, F. Flechtner