Data · dataset · 2026
TIE-GCM PDAF 3 Simulation of the 2024 Gannon Geomagnetic Storm Assimilating Mass Densities from the TOLEOS Project
Listed in bonndata
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.
Description
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.
Links
Where it is published
- Dataverse dataset page bonndata.uni-bonn.de/dataset.xhtml?persistentId=doi%3A10.60507%2FFK2%2FQMNFKG ↗
landing page · from bonndata uni bonn de
- DOI doi.org/10.60507/fk2/qmnfkg ↗
DOI / persistent id · from bonndata uni bonn de
Catalogue records · 1
- Dataverse API bonndata.uni-bonn.de/api/datasets/:persistentId/?persistentId=doi%3A10.60507%2FFK2%… ↗
metadata API · from bonndata uni bonn de
Topics
- Stated by source
- Earth and Environmental Sciences · Physics
- From keywords
- Earth & Environmental Science · Physics
- Inferred from text
- Geophysics 69% · Satellite remote sensing 65% · Simulation 75%
Provenance · 1 source records, 13 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| bonndata | doi:10.60507/FK2/QMNFKG | 4 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].anzsrc:group:3706 | enrichment · bonndata uni bonn de | taxonomy-embedding@1.1.0 | title+keywords+description (69%) |
| concepts[field].dataverse_subject:earth-and-environmental-sciences | source · bonndata uni bonn de | connector:bonndata_uni_bonn_de@1.0.0 | /subjects |
| concepts[field].dataverse_subject:physics | source · bonndata uni bonn de | connector:bonndata_uni_bonn_de@1.0.0 | /subjects |
| concepts[field].local:field:earth-environmental | mapping · bonndata uni bonn de | connector:bonndata_uni_bonn_de@1.0.0 | /subjects |
| concepts[field].local:field:physics | mapping · bonndata uni bonn de | connector:bonndata_uni_bonn_de@1.0.0 | /subjects |
| concepts[method].local:method:simulation | enrichment · bonndata uni bonn de | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[modality].local:modality:remote-sensing | enrichment · bonndata uni bonn de | keyword-concept-rules@1.0.0 | title+description (65%) |
| created_date | source · bonndata uni bonn de | connector:bonndata_uni_bonn_de@1.0.0 | |
| description | source · bonndata uni bonn de | connector:bonndata_uni_bonn_de@1.0.0 | /description |
| publication_date | source · bonndata uni bonn de | connector:bonndata_uni_bonn_de@1.0.0 | |
| title | source · bonndata uni bonn de | connector:bonndata_uni_bonn_de@1.0.0 | /name |
| updated_date | source · bonndata uni bonn de | connector:bonndata_uni_bonn_de@1.0.0 | |
| version_label | source · bonndata uni bonn de | connector:bonndata_uni_bonn_de@1.0.0 |