Data · dataset · 2026
Quantifying event-specific radial diffusion coefficients of radiation belt electrons with the PPMLR-MHD simulation
Listed in National Center for Atmospheric Research
Description
Using the global Lagrangian version of the piecewise parabolic method-magnetohydrodynamic (PPMLR-MHD) model, we simulate two consecutive storms in December 2015, a moderate storm on 14-15 December and a strong storm on 19-22 December, and calculate the radial diffusion coefficients (D-LL) from the simulated ultralow frequency waves. We find that even though the strong storm leads to more enhanced B-z and E power than the moderate storm, the two storms share in common a lot of features on the azimuthal mode structure and power spectrum of ultralow frequency waves.
For both storms, the total B-z and E power is better correlated with the solar wind dynamic pressure in the storm initial phase and more correlated with AE index in the recovery phase. B-z wave power is shown to be mostly distributed in low mode numbers, while E power spreads over a wider range of modes. Furthermore, the B-z and E power spectral densities are found to be higher at higher L regions, with a stronger L dependence in the B-z spectra.
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The estimated D-LL based on MHD fields shows that inside the magnetopause, the contribution from electric fields is larger than or comparable to that from magnetic fields, and our event-specific MHD-based D-LL can be smaller than some previous empirical D-LL estimations by more than an order of magnitude. At last, by validating against in situ observations from Magnetospheric Multiscale spacecraft, our MHD results are found to generally well reproduce the total B-z fields and wave power for both storms, while the E-phi power is underestimated in the MHD simulations.
Links
Get the data
- Publisher page n2t.org/ark:/85065/d7bg2s7g ↗
documentation · download · from data ucar edu
Where it is published
- data.ucar.edu /dataset/quantifying-event-specific-radial-diffusion-coefficien… ↗
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=8af03e53-3cf7-478c-93c7-4673a466c… ↗
metadata API · from data ucar edu
Topics
- From keywords
- Earth & Environmental Science · Ocean & Atmospheric Science
- Inferred from text
- Simulation 75%
Provenance · 1 source records, 8 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| National Center for Atmospheric Research | 8af03e53-3cf7-478c-93c7-4673a466c7ab | 8 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| 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 | |
| concepts[method].local:method:simulation | enrichment · data ucar edu | keyword-concept-rules@1.0.0 | title+description (75%) |
| 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 |