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Persistent Identifier
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doi:10.60507/FK2/QMNFKG |
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Publication Date
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2026-09-08 |
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Title
| TIE-GCM PDAF 3 Simulation of the 2024 Gannon Geomagnetic Storm Assimilating Mass Densities from the TOLEOS Project |
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Author
| Corbin, Armin (University of Bonn) - ORCID: https://orcid.org/0000-0002-6256-0949
Kusche, Jürgen (University of Bonn) - ORCID: https://orcid.org/0000-0001-7069-021X |
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Contact
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Use email button above to contact.
Corbin, Armin (University of Bonn) |
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Description
| Earth’s upper atmosphere is strongly affected by solar and geomagnetic activity and coupling to lower atmospheric layers, which together shape the properties of the rarefied gas encountered by satellites in low Earth orbit. Numerical upper-atmosphere models have limited predictive skill, but data assimilation can improve their simulations by combining them with satellite observations. Here we provide global simulations of the upper atmosphere for the full month of May 2024, including the extreme Gannon geomagnetic storm, as a supplement to a paper describing the TIE-GCM PDAF data assimilation software. The dataset demonstrates the software’s capabilities through a simulation without data assimilation and simulations that assimilate satellite-derived neutral mass densities from GRACE-FO 1 and Swarm-C. It includes gridded estimates of neutral mass density, neutral temperature, and electron density, along with simulated values at higher temporal resolution along the GRACE-FO 1 and Swarm-C satellite orbits and the files needed to reproduce the ensemble setup. (2026-07-21) |
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Subject
| Earth and Environmental Sciences; Physics |
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FreeKeyword
| Data Assimilation
Thermosphere
Upper Atmosphere
Geomagnetic storm
Ionosphere |
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Related Publication
| IsSupplementTo: Corbin, Armin and Kusche, Jürgen: TIE-GCM PDAF 3: an efficient ensemble-based data assimilation system for the TIE-GCM 3.0 (in preparation)
References: A. Corbin, “Enhancing Numerical Simulation of Mass Density in Earth’s Upper Atmosphere using Data Assimilation,” Thesis, Universitäts- und Landesbibliothek Bonn, 2025. doi 10.48565/bonndoc-596 https://doi.org/10.48565/bonndoc-596
References: A. Corbin and J. Kusche, “Improving the estimation of thermospheric neutral density via two-step assimilation of in situ neutral density into a numerical model,” Earth, Planets and Space, vol. 74, no. 1, p. 183, 2022, doi: 10.1186/s40623-022-01733-z. doi 10.1186/s40623-022-01733-z https://doi.org/10.1186/s40623-022-01733-z
References: Wu, H., Wang, W., Pham, K. H., Lin, D., Rao, N., Wiltberger, M. J., et al. (2025). The NCAR-TIEGCM Version 3.0. Journal of Geophysical Research: Space Physics, 130, e2025JA034219. doi 10.1029/2025JA034219 https://doi.org/10.1029/2025JA034219
References: Qian, L., Burns, A.G., Emery, B.A., Foster, B., Lu, G., Maute, A., Richmond, A.D., Roble, R.G., Solomon, S.C. and Wang, W. (2014). The NCAR TIE-GCM. In Modeling the Ionosphere–Thermosphere System (eds J. Huba, R. Schunk and G. Khazanov). doi 10.1002/9781118704417.ch7 https://doi.org/10.1002/9781118704417.ch7
References: D. R. Weimer, “Improved ionospheric electrodynamic models and application to calculating Joule heating rates,” Journal of Geophysical Research: Space Physics, vol. 110, no. A5, 2005 doi 10.1029/2004JA010884 https://doi.org/10.1029/2004JA010884
L. Nerger, PDAF (Parallel Data Assimilation Framework). (Sep. 19, 2024). Zenodo doi 10.5281/zenodo.13789628 https://doi.org/10.5281/zenodo.13789628
L. Nerger and W. Hiller, “Software for ensemble-based data assimilation systems—Implementation strategies and scalability,” Computers & Geosciences, vol. 55, pp. 110–118, 2013 doi 10.1016/j.cageo.2012.03.026 https://doi.org/10.1016/j.cageo.2012.03.026
L. Nerger, T. Janjić, J. Schröter, and W. Hiller, “A Unification of Ensemble Square Root Kalman Filters,” Monthly Weather Review, vol. 140, no. 7, pp. 2335–2345, 2012 doi 10.1175/MWR-D-11-00102.1 https://doi.org/10.1175/MWR-D-11-00102.1 |
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Language
| English |
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Production Date
| 2026-06-04 |
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Production Place
| University of Bonn |
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Grant Information
| DFG: 462853228 |
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Depositor
| Corbin, Armin |
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Deposit Date
| 2026-07-21 |
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Time Period Covered
| Start Date: 2024-05-01 ; End Date: 2024-06-01 |
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Software
| TIE-GCM-PDAF, Version: 3 |
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Data Sources
| TOLEOS project https://thermosphere.tudelft.nl/index.html; N. Hładczuk, J. van den IJssel, T. Kodikara, K., C. Siemes, P. Visser (2023) GRACE-FO radiation pressure modelling for accurate density and crosswind retrieval. Advances in Space Research. https://doi.org/10.1016/j.asr.2023.12.059; C. Siemes, C. Borries, S. Bruinsma, I. Fernandez-Gomez, N. Hładczuk, J. van den IJssel, T. Kodikara, K. Vielberg, P. Visser (2023) New Thermosphere Neutral Mass Density and Crosswind Datasets from CHAMP, GRACE, and GRACE-FO. Journal of Space Weather and Space Climate. https://doi.org/10.1051/swsc/2023014; G. March, J. van den IJssel, C. Siemes, P. Visser, E. Doornbos, M. Pilinski (2021) Gas-surface interactions modelling influence on satellite aerodynamics and thermosphere density. Journal of Space Weather and Space Climate, 11: 54. https://doi.org/10.1051/swsc/2021035; P. Visser and J. van den IJssel J (2016) Orbit determination and estimation of non-gravitational accelerations for the GOCE reentry phase. Advances in Space Research 58: 1840–1853. https://doi.org/10.1016/j.asr.2016.07.013; Lan, X., Tans, P. and K.W. Thoning: Trends in globally-averaged CO2 determined from NOAA Global Monitoring Laboratory measurements, 2025. https://doi.org/10.15138/9N0H-ZH07; N. E. Papitashvili and J. H. King: OMNI Hourly Data Set, NASA Space Physics Data Facility, 2020. doi: 10.48322/1SHR-HT18 https://doi.org/10.48322/1SHR-HT18; IGRF 14 https://github.com/IAGA-VMOD/IGRF14eval; M. E. Hagan and J. M. Forbes, “Migrating and nonmigrating diurnal tides in the middle and upper atmosphere excited by tropospheric latent heat release,” Journal of Geophysical Research: Atmospheres, vol. 107, no. D24, p. ACL 6-1-ACL 6-15, 2002, doi: 10.1029/2001JD001236. |
