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Record W4407641199 · doi:10.1016/j.dsr.2025.104465

An inverse modelling approach to constrain 7Be cycling in the subpolar North Atlantic

2025· article· en· W4407641199 on OpenAlexaboutno aff
Paul Lerner, Mélanie Grenier, Olivier Marchal, Pieter van Beek

Bibliographic record

VenueDeep Sea Research Part I Oceanographic Research Papers · 2025
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicOceanographic and Atmospheric Processes
Canadian institutionsnot available
FundersVermont Agency of Natural ResourcesInstitut national des sciences de l'UniversDivision of Ocean SciencesGoddard Space Flight CenterCentre National de la Recherche ScientifiqueNational Aeronautics and Space AdministrationAgence Nationale de la RechercheInstitut Français de Recherche pour l'Exploitation de la MerNational Science Foundation
KeywordsCyclingInverseOceanographyEnvironmental scienceGeologyClimatologyGeographyMathematicsArchaeology

Abstract

fetched live from OpenAlex

Beryllium-7 is a short-lived cosmogenic radionuclide that has been used as a tracer of atmospheric deposition at the sea surface and of physical processes in the upper ocean. These applications generally assume that (i) the fraction of marine 7 Be in particulate form is negligible, and/or (ii) the interactions between the particulate and dissolved forms of 7 Be in seawater can be neglected. In this study, we test different steady-state models of upper ocean 7 Be cycling from measurements of total 7 Be and particulate 7 Be activities collected at two stations of the GEOVIDE cruise in the subpolar North Atlantic (May–June 2014). The most complete model includes vertical advection , vertical diffusion, gravitational settling, radioactive decay , atmospheric deposition , and the reversible exchange between dissolved 7 Be ( 7 Be d ) and particulate 7 Be ( 7 Be p ). This model reproduces the measured 7 Be activities at both stations to within their uncertainties (±1 standard deviation). In the East Greenland-Irminger Current (station 51/60), models that do not consider adsorption and/or desorption can still reproduce the measured activities, while in the southern Labrador Sea (station 69) models that neglect reversible exchange or desorption poorly fit the data. Thus, 7 Be d at station 51/60 could have been supplied entirely by surface deposition, whereas 7 Be d at station 69 originated at least partly from the release of particulate 7 Be into solution. The subsurface 7 Be p maxima, present at both stations, seem to require a flux of 7 Be between particles and solution at station 69 but not at station 51/60. At both stations, most of the total 7 Be deposited at the ocean surface was removed by radioactive decay , with at most 5% removed by sinking of 7 Be p , suggesting that reversible exchange can be neglected in applications of total 7 Be as a tracer for atmospheric deposition. However, reversible exchange is important to consider in applications of 7 Be d as a deposition tracer, with a maximum bias of 40% when reversible exchange is neglected. The steady state assumption does not alter our results regarding the solid-solution exchange of 7 Be, but it does result in a significant bias when deriving atmospheric 7 Be tot deposition fluxes from water column 7 Be tot inventories. Overall, our findings suggest that reversible exchange could significantly influence the oceanic cycling of 7 Be at some locations, and should not be systematically neglected when using 7 Be d as an oceanic tracer.

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)0.016
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.639
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0160.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.016
Science and technology studies0.0020.002
Scholarly communication0.0010.001
Open science0.0030.000
Research integrity0.0000.003
Insufficient payload (model declined to judge)0.0000.000

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 head0.080
GPT teacher head0.335
Teacher spread0.255 · 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 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

Citations0
Published2025
Admission routes1
Has abstractyes

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