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Record W2341443639 · doi:10.14288/1.0053345

Correlation of geomagnetic field changes with ionospheric motions determined by a doppler technique

2011· article· en· W2341443639 on OpenAlexaff
T.J. Lewis

Bibliographic record

VenuecIRcle (University of British Columbia) · 2011
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGeomagnetism and Paleomagnetism Studies
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsEarth's magnetic fieldDoppler effectIonosphereGeodesyGeologyGeophysicsCorrelationRemote sensingPhysicsMagnetic fieldMathematicsGeometryAstronomy

Abstract

fetched live from OpenAlex

Standard measurements of the geomagnetic field at the earth's surface are correlated with doppler measurements. The doppler shift in the frequency of a radio wave travelling in the ionosphere measures the change in refractive index with respect to time, integrated along the wave's path. For a vertical path the integrated change in electron density is measured, and the ionosphere's vertical motion can be deduced, using simplifying assumptions. A definite correlation between short period (less than four minutes) geomagnetic field changes and the doppler shift has been found. For longer period changes, evidence for a correlation is not so definite. The magnitude of the ratio of the doppler shift (in a frequency of 4 or 5 Mc.) to the observed geomagnetic field change for short period events is between 0.1 and 0.4 cps/ɣ and for longer events, 0.05 to 0.15 cps/ɣ. Sometimes the doppler shift is proportional to ΔH or ΔD. However no relation that would hold in general to predict the doppler shift from the observed geomagnetic changes was found. Apart from the diurnal variation in the doppler shift, three types of uncorrelated events were found. The first was a continuous variation occurring during the daytime which has been observed by many workers. The second was a large travelling ionospheric disturbance which followed a sudden change in the geomagnetic field, and thus might be considered indirectly to be correlated. The last type was a train of large amplitude irregular oscillations with periods from about 3 to 0.5 minutes, the longer periods appearing first. The problem of determining ionospheric motions from the doppler shift is very complex, and in order to make any progress, certain simplifying assumptions must be made which cannot be completely justified. By assuming also that the observed long period geomagnetic field changes are caused by overhead currents, and by using average ionospheric conductivities, the electric field in the ionosphere is calculated, the values ranging between 10⁻⁷ and 10⁻⁶ e.s.u. For shorter period geomagnetic field changes, the doppler shift is larger (approximately by a factor of 3) than the value which has previously been calculated by assuming that overhead currents cause the geomagnetic changes.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.006
GPT teacher head0.157
Teacher spread0.151 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations2
Published2011
Admission routes1
Has abstractyes

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