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Record W6921716330 · doi:10.1021/acs.est.2c02613.s002

Event-Based Atmospheric Precipitation Uncovers Significant\nEven and Odd Hg Isotope Anomalies Associated with the Circumpolar\nVortex

2022· article· en· W6921716330 on OpenAlexaboutno aff

Bibliographic record

VenueFigshare · 2022
Typearticle
Languageen
FieldComputer Science
TopicEducational Robotics and Engineering
Canadian institutionsnot available
Fundersnot available
KeywordsSnowParticulatesPrecipitationIsotopeArcticDeposition (geology)Atmospheric chemistryPolar

Abstract

fetched live from OpenAlex

The determination of the mass-independent fractionation\nof even\nHg isotopes (even-MIF, Δ<sup>200</sup>Hg) in atmospheric samples\nadds another intriguing feature to the Hg isotope system. Despite\nour lack of sufficient experimental verification and the momentary\nabsence of a valid mechanism to explain its occurrence, even-MIF could\nbe instrumental in understanding the cycle and deposition of atmospheric\nHg. In contrast to slightly positive Δ<sup>200</sup>Hg values\n(<0.30‰) frequently observed in most atmospheric samples,\nlarge Δ<sup>200</sup>Hg values (up to 1.24‰) determined\nin precipitation from Peterborough (Ontario, Canada) stand out and\ncould provide valuable information for the origin of the even-MIF\nmystery. We now report a systematic analysis of high-resolution rainfall\nand snowfall samples collected in winter during cold weather at Peterborough,\nCanada. Dissolved and particulate Hg both displayed large variations\nof odd-MIF (from −0.93‰ to 2.02‰ for Δ<sup>199</sup>Hg), which may result from long-range transportation, as\nthe negative odd-MIF in particulate Hg is likely a result of long-distance\ntransport of arctic atmospheric Hg(II). Dissolved Hg revealed significant\neven-MIF values (from 0.25‰ to 1.19‰ for Δ<sup>200</sup>Hg) and a negative relationship between Δ<sup>200</sup>Hg and Δ<sup>204</sup>Hg, which provide further evidence for\nthe previously proposed conceptual model of Δ<sup>200</sup>Hg.\nDisconnected odd-MIF and even-MIF trends were detected in sequentially\ncollected precipitation samples, which further suggests different\nsources or mechanisms for Δ<sup>199</sup>Hg and Δ<sup>200</sup>Hg. Particularly, the high Δ<sup>200</sup>Hg values\nhighlight the transport of stratospheric Hg through a polar vortex\nto the sampling region, stimulating further systematic investigation.\nThe new Δ<sup>200</sup>Hg data for particulate Hg add to existing\ninformation on atmospheric Hg(II) worldwide, suggesting a global distribution\nof Hg characterized by even-MIF in the atmosphere, and further constrain\nthe model of atmospheric Hg deposition.

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: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.354
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
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.014
GPT teacher head0.203
Teacher spread0.190 · 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

Citations0
Published2022
Admission routes1
Has abstractyes

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