Rapid Outer Radiation Belt Flux Dropouts and Fast Acceleration during the March 2015 and 2013 Storms: The Role of ULF Wave Ttansport From a Dynamic Outer Boundary
Notice bibliographique
Résumé
Duplicate copy of the electron phase space density provided for the Geospace Environment Modeling (GEM) challenge event in March 2013 selected by the Quantitative Assessment of Radiation Belt Modeling focus group. The original copy of the data is available from https://drive.google.com/drive/u/0/folders/0ByNhSbWkAgdfaGt6TnJMcElhUTg Data Providers: Michael G. Henderson (LANL; mghenderson@lanl.gov) Steven K. Morley (LANL; smorley@lanl.gov) This data product provides electron phase space density from the Van Allen Probes ECT suite of instruments. The data are calculated similarly to the method described in Morley et al. (2013), with some differences that are noted below. The files are provided in HDF5 format, so the files are self-describing and contain ISTP-style metadata. The files should be directly readable with: - SpacePy (http://sourceforge.net/p/spacepy) - import the spacepy.datamodel module, use the function fromHDF5 to read the data - Autoplot (http://autoplot.org) - MatLab and IDL provide convience routines for reading HDF5 Method ------ Starting with directional differential flux data from HOPE, MagEIS and REPT, we calculate the PSD as a function of energy, pitch angle, position and time. Following the same basic method given by Morley et al., we transform this to phase space density as a function of the three adiabatic invariants (M, K, L*); note that where Morley et al. used a relativistic Maxwellian fit to the flux spectrum, these data use a smoothing spline fit so that more complex spectral shapes can be represented. Note also that Morley et al. only used REPT, where these files represent the energy ranges of MagEIS and REPT, but also use HOPE to constrain the fit at low energies. While the pitch angles are determined using the EMFISIS data, all three adiabatic invariants are derived from a magnetic field model. These PSD data files use the Tsyganenko and Sitnov (2005) model (aka TS04, T05 or TS05). The models were run using the "definitive" Qin-Denton data files provided by the RBSP ECT-SOC. These files should be made available through the QARBM google drive. Caveats ------- These data should be considered preliminary. They have undergone a limited amount of verification and prior to publication the data providers should be contacted. New versions of these data may be generated at some point - we do not expect noticeable changes to the data present. Some gaps may be present in the files that are due to calculation of the adiabatic invariants failing. The issues causing these gaps have been resolved in the underlying software, but the data have not yet been regenerated. References ---------- Morley, S. K., M. G. Henderson, G. D. Reeves, R. H. W. Friedel, and D. N. Baker (2013), Phase Space Density matching of relativistic electrons using the Van Allen Probes: REPT results, Geophys. Res. Lett., 40, 4798-4802, doi:10.1002/grl.50909. Tsyganenko, N. A., and M. I. Sitnov (2005), Modeling the dynamics of the inner magnetosphere during strong geomagnetic storms, J. Geophys. Res., 110, A03208, doi:10.1029/2004JA010798. Also included is the copy of the LANLgeoMag software used in the paper provided on https://github.com/drsteve/LANLGeoMag Copyright (c) 2014, Los Alamos National Security, LLC All rights reserved. Copyright 2014. Los Alamos National Security, LLC. This software was produced under U.S. Government contract DE-AC52-06NA25396 for Los Alamos National Laboratory (LANL), which is operated by Los Alamos National Security, LLC for the U.S. Department of Energy. The U.S. Government has rights to use, reproduce, and distribute this software. 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Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,002 | 0,001 |
| Science ouverte | 0,001 | 0,002 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,010 | 0,002 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».