Data · dataset · 2026
Data-driven ensemble modeling of equatorial ionospheric electrodynamics: A case study during a minor storm period under solar minimum conditions
Listed in National Center for Atmospheric Research
The dayside equatorial ionospheric electrodynamics exhibit strong variability driven simultaneously by highly changeable external forcings that originate from the solar extreme ultraviolet (EUV), magnetosphere, and lower atmosphere.
Description
We investigate this variability by carrying out comprehensive data-driven ensemble modeling using a coupled model of the thermosphere and ionosphere, with the focus on the vertical E x B drift variability during a solar minimum and minor storm period.
The variability of vertical E x B drift in response to the changes and uncertainty of primary forcings (i.e., solar EUV, high-latitude plasma convection and auroral particle precipitation, and loweratmospheric tide and wave forcing) is investigated by ensemble forcing sensitivity experiments that incorporate data-driven stochastic perturbations of these forcings into the model. Second, the impact of assimilating FORMOsa SATellite-3/Constellation Observing System for Meteorology, Ionosphere, and Climate (FORMOSAT-3/COSMIC) electron density profiles (EDPs) on the reduction of uncertainty of the modeled vertical E x B drift variability resulting from inadequately specified external forcing is revealed.
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The Communication and Navigation Outage Forecasting System (C/NOFS) ion drift velocity observations are used for validation. The validation results support the importance of the use of a datadriven forcing perturbation methods in ensemble modeling and data assimilation. In conclusion, the solar EUV dominates the global-scale day-to-day variability, while the lower atmosphere tide and wave forcing is critical to determining the regional variability.
The modeled vertical E x B drift is also sensitive to the magnetospheric forcing. The ensemble data assimilation of FORMOSAT-3/COSMIC EDPs helps to reduce the uncertainty and improves agreement of the modeled vertical E x B drifts with C/NOFS observations.
Links
Get the data
- Publisher page n2t.org/ark:/85065/d7c250tw ↗
documentation · download · from data ucar edu
Where it is published
- data.ucar.edu /dataset/data-driven-ensemble-modeling-of-equatorial-ionospheri… ↗
National Center for Atmospheric Research dataset page
landing page · from data ucar edu
Catalogue records · 1
- CKAN API data.ucar.edu/api/3/action/package_show?id=6f132008-e7c9-4a27-ab9f-2188ce7c1… ↗
metadata API · from data ucar edu
Topics
- From keywords
- Earth & Environmental Science · Ocean & Atmospheric Science
- Inferred from text
- Atmospheric sciences 75%
Provenance · 1 source records, 8 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| National Center for Atmospheric Research | 6f132008-e7c9-4a27-ab9f-2188ce7c1583 | 9 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].anzsrc:group:3701 | enrichment · data ucar edu | taxonomy-embedding@1.1.0 | title+keywords+description (75%) |
| concepts[field].local:field:earth-environmental | mapping · data ucar edu | connector:data_ucar_edu@1.0.0 | |
| concepts[field].local:field:ocean-atmospheric | mapping · data ucar edu | connector:data_ucar_edu@1.0.0 | |
| created_date | source · data ucar edu | connector:data_ucar_edu@1.0.0 | |
| description | source · data ucar edu | connector:data_ucar_edu@1.0.0 | /notes |
| publication_date | source · data ucar edu | connector:data_ucar_edu@1.0.0 | |
| title | source · data ucar edu | connector:data_ucar_edu@1.0.0 | /title |
| updated_date | source · data ucar edu | connector:data_ucar_edu@1.0.0 |