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Record W7108654518 · doi:10.20383/103.01525

Simulated ocean biogeochemistry and alkalinity addition experiments in Halifax harbor using a high-resolution nested Regional Ocean Modelling System (ROMS) (2016–2023)

2025· dataset· W7108654518 on OpenAlexaboutno aff

Bibliographic record

VenueFederated Research Data Repository · 2025
Typedataset
Language
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsAlkalinityBiogeochemical cycleBiogeochemistryBuoyNetCDFNested set modelOcean currentHindcastForcing (mathematics)

Abstract

fetched live from OpenAlex

This dataset contains model outputs from an implementation of the Regional Ocean Modelling System (ROMS) in a nested grid configuration with increasing spatial resolution from the Scotian Shelf to Halifax Harbour (coastal fjord, eastern Canada), a current test site for operational alkalinity addition. The biogeochemical model simulates oxygen dynamics, carbonate system processes (including air-sea gas exchange), and feedstock properties (dissolution, sinking). The first part of the dataset includes simulated time series at Station 2 (Scotian Shelf, 44.267°N/63.317°W) and at the compass buoy in the Bedford Basin (Halifax Harbour, 44.694°N/63.640°W) from multi-year hindcasts (2016-2023) with the coarsest (H1) and intermediate (H2) nested domains, respectively. Spatially resolved sea surface temperature in H1 is also included. The second part of the dataset provides model output for alkalinity addition experiments with 2 types of feedstock released at 3 locations inside and outside the Halifax Harbour. The dataset supports the analysis presented in Laurent et al. (2025) (https://doi.org/10.5194/egusphere-2025-3361). The circulation model is configured for the Halifax Harbour and surrounding areas using three nested domains with horizontal resolutions of 760 m (H1), 150 m (H2), and 50 m (H3), and 40 vertical layers. It is forced with ERA5 atmospheric data, boundary conditions from the GLORYS larger-scale ocean model and tides. The embedded biogeochemical model simulates the carbonate system, oxygen dynamics, and particulate/dissolved alkalinity feedstocks. Simulations include both multi-year hindcasts and a series of targeted alkalinity addition experiments with different feedstock types (dissolved and particulate) and release locations (Mill Cove, Tufts Cove, Herring Cove). Data are provided in NetCDF format and organized by grid resolution, location, and experiment type, showcasing: time series outputs at monitoring stations (Station 2 and Bedford Basin compass buoy); spatially resolved sea surface temperature fields; gridded air-sea gas fluxes (CO₂ and O₂) under control and experimental scenarios; and vertical profiles of biogeochemical tracers (e.g., oxygen, TIC, alkalinity). This resource supports regional marine carbon cycle modeling, coastal climate intervention and ocean alkalinity enhancement research.

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: Dataset · Consensus signal: none
Teacher disagreement score0.669
Threshold uncertainty score0.659

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
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 head0.147
GPT teacher head0.372
Teacher spread0.225 · 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
GenreDataset

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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