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Record W4293105105 · doi:10.1038/s41467-022-32440-8

Mercury isotope evidence for Arctic summertime re-emission of mercury from the cryosphere

2022· article· en· W4293105105 on OpenAlexaff
Beatriz Ferreira Araújo, Stefan Osterwalder, Natalie Szponar, Domenica Lee, Mariia V. Petrova, Jakob Boyd Pernov, Shaddy Ahmed, Lars‐Éric Heimbürger‐Boavida, Laure Laffont, Roman Teisserenc, Nikita Tananaev, Claus Nordstrøm, Olivier Magand, Geoff W. Stupple, Henrik Skov, A. Steffen, Bridget A. Bergquist, Katrine Aspmo Pfaffhuber, Jennie L. Thomas, Simon Scheper, Tuukka Petäjä, Aurélien Dommergue, Jeroen E. Sonke

Bibliographic record

VenueNature Communications · 2022
Typearticle
Languageen
FieldEnvironmental Science
TopicMercury impact and mitigation studies
Canadian institutionsEnvironment and Climate Change CanadaUniversity of Toronto
FundersHorizon 2020 Framework ProgrammeInstitut Polaire Français Paul Emile VictorNational Oceanic and Atmospheric AdministrationAXA Research FundSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungNational Science Foundation
KeywordsMercury (programming language)CryosphereEnvironmental scienceArcticEnvironmental chemistryIsotopeThe arcticMERCUREOceanographyChemistryGeologySea icePhysics

Abstract

fetched live from OpenAlex

Abstract During Arctic springtime, halogen radicals oxidize atmospheric elemental mercury (Hg 0 ), which deposits to the cryosphere. This is followed by a summertime atmospheric Hg 0 peak that is thought to result mostly from terrestrial Hg inputs to the Arctic Ocean, followed by photoreduction and emission to air. The large terrestrial Hg contribution to the Arctic Ocean and global atmosphere has raised concern over the potential release of permafrost Hg, via rivers and coastal erosion, with Arctic warming. Here we investigate Hg isotope variability of Arctic atmospheric, marine, and terrestrial Hg. We observe highly characteristic Hg isotope signatures during the summertime peak that reflect re-emission of Hg deposited to the cryosphere during spring. Air mass back trajectories support a cryospheric Hg emission source but no major terrestrial source. This implies that terrestrial Hg inputs to the Arctic Ocean remain in the marine ecosystem, without substantial loss to the global atmosphere, but with possible effects on food webs.

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)0.001
metaresearch head score (Gemma)0.001
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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.312
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0020.001
Research integrity0.0000.001
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 head0.067
GPT teacher head0.347
Teacher spread0.281 · 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 designNot applicable
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
Published2022
Admission routes1
Has abstractyes

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