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Detection of ionospheric response to earthquakes in Mexico: case study of September 8, 2021 and September 19, 2022

2024· article· en· W4405546294 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueGeofísica Internacional · 2024
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicEarthquake Detection and Analysis
Canadian institutionsnot available
FundersGoddard Space Flight CenterUniversidad Nacional Autónoma de MéxicoAlberta Agricultural Research InstituteNational Science Foundation
KeywordsTECEpicenterAmplitudeIonosphereGeodesyMagnitude (astronomy)SatelliteDaytimePeriod (music)Displacement (psychology)Total electron contentVertical displacementEnvironmental scienceGeologyMeteorologyAtmospheric sciencesClimatologySeismologyPhysicsGeophysicsAstrophysicsOpticsGeomorphology

Abstract

fetched live from OpenAlex

We explore the possibility of the ionospheric disturbance detection after two earthquakes (EQ) (Mw > 7) occurred on September 8, 2021, and September 19, 2022, in Mexico. The epicenter location, depth, focal mechanism, season and Space Weather background conditions were similar for the two EQs. The local time and the magnitude were different. Wave responses in the filtered slant TEC time series were revealed after both EQs at isolated satellite-receiver ray paths. The irregular variations exceeded the background fluctuation level and were not repeated on other days. Their form and temporal scales allowed us to associate them with the acoustic-gravity waves generated by the vertical displacement during the powerful EQs. The nighttime EQ on September 8, 2021, caused the medium-scale disturbances characterized with the N- and И-form fluctuations in TEC, a period of ~30 min and amplitudes of (0.1-0.2) TECU. The response to the daytime EQ on September 19, 2022, was of two types: smallscale disturbances N-, V-, И- and M-form with a 15 min period and amplitudes of (0.1-1.1) TECU; and medium-scale disturbances of N- and И-form with a period of ~30 min and amplitudes of (0.1-0.2) TECU. The presented conclusions for the Mexican region are preliminary as more statistics are needed.

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.

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)0.001
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.247
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0060.000

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 head0.010
GPT teacher head0.245
Teacher spread0.235 · 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