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Record W2045030500 · doi:10.1029/2001jd002004

Canadian Aerosol Module (CAM): A size‐segregated simulation of atmospheric aerosol processes for climate and air quality models 2. Global sea‐salt aerosol and its budgets

2002· article· en· W2045030500 on OpenAlexaboutno aff
Sunling Gong, Leonard A. Barrie, Mike Lazare

Bibliographic record

VenueJournal of Geophysical Research Atmospheres · 2002
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicAtmospheric chemistry and aerosols
Canadian institutionsnot available
Fundersnot available
KeywordsAerosolSea saltSea salt aerosolEnvironmental scienceAtmospheric sciencesSea sprayAtmosphere (unit)Wind speedAdvectionFlux (metallurgy)ClimatologyMeteorologyGeologyGeographyChemistry

Abstract

fetched live from OpenAlex

Size‐segregated sea‐salt aerosols were included as dynamic constituents in the third generation of the Canadian general circulation model (GCMIII) using the Canadian Aerosol Module (CAM). A 12‐bin sectional model was used to simulate wind‐dependent sea‐salt aerosol generation at the surface, diffusive, and advective transports, as well as wet and dry removals as a function of particle size. The dependence of model‐predicted atmospheric sea‐salt concentration on wind speed is weaker than the u3.41 dependence of sea‐salt emissions but nevertheless still significant. A comparison of GCMIII surface winds with European Centre for Medium‐Range Weather Forecasting reanalyzed winds was used to identify a globally averaged bias of modeled surface marine winds of 18%. After taking this into account, two‐year simulations were performed to study the atmospheric sea‐salt cycle. Comparisons of seasonal mean model predictions with observed sea‐salt mass concentrations at 24 marine observatories were in reasonable agreement (generally better than a factor of 2). The annual global sea‐salt flux is estimated to be 1.01 × 1013 kg with ∼32% from the Northern Hemisphere and with 98% in supermicron particles. Although emissions to the atmosphere of submicron sea‐salt particles larger than 0.2 μm radius make up only 2% of the total global emissions, they contribute significantly to the background aerosol mass and number concentrations in the marine atmosphere. Submicron sea‐salt aerosols contribute substantially to the total optical depth of the atmosphere over the open oceans. They account for 5–15% of total sea‐salt mass in air at the surface and 20% at 700 hPa. The global mass mean dry diameter of sea‐salt aerosols over oceans is 2.8 μm at the surface and 1.9 μm in the midtroposphere. Concentrations are highest in the roaring forties of the Southern Hemisphere and over the northern oceans from October to March. Residence times of sea‐salt aerosols were highly variable depending on size, vertical dispersion, and removal processes. The mean residence time for 7.7 μm and 0.4 μm particles in the marine boundary layer were in the range 0.3–10 hours and 80–360 hours, respectively.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.804
Threshold uncertainty score0.395

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0030.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.001

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 head0.047
GPT teacher head0.311
Teacher spread0.264 · 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 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

Citations219
Published2002
Admission routes1
Has abstractyes

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