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Record W2062829368 · doi:10.1029/1999gl011161

An empirical model of the ionospheric electric potential

2000· article· en· W2062829368 on OpenAlexfundno aff
A. J. Ridley, G. Crowley, Christopher J. Freitas

Bibliographic record

VenueGeophysical Research Letters · 2000
Typearticle
Languageen
FieldPhysics and Astronomy
TopicIonosphere and magnetosphere dynamics
Canadian institutionsnot available
FundersCanadian Space AgencyU.S. Geological SurveyUniversity of LeicesterNational Aeronautics and Space AdministrationNational Oceanic and Atmospheric AdministrationSouthwest Research InstituteAir Force Research LaboratoryNational Science Foundation
KeywordsIonosphereEmpirical modellingElectric fieldLinear modelInterplanetary magnetic fieldGeophysicsLinear regressionElectric potentialInterplanetary spaceflightPhysicsComputer scienceComputational physicsMagnetic fieldSolar windVoltageSimulation

Abstract

fetched live from OpenAlex

We present an empirical model of the ionospheric electric potential based on output from the assimilative mapping of ionospheric electrodynamics technique (AMIE). The model is derived using a multivariable linear regression analysis technique to relate the potential at each grid point to the interplanetary magnetic field B y and B z components. AMIE output over a one week period was used to construct the model. The results of the model are very similar to other electric potential models; namely, the background pattern and the model response to B y and B z are typical. The unique aspect of this model is the use of the linear response to changes in IMF for the forward prediction of the potential pattern. We show an example of how the model can significantly improve predictions of the potential when it is coupled to a real‐time specification model such as the real‐time version of AMIE.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.828
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.017
GPT teacher head0.297
Teacher spread0.280 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designSimulation or modeling
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations48
Published2000
Admission routes1
Has abstractyes

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