Replication data for: Circulation and upwelling induced by coastal trapped waves over a submarine canyon in an idealized eastern boundary margin
Bibliographic record
Abstract
------------------- GENERAL INFORMATION ------------------- Title of Dataset: Replication data for: Circulation and upwelling induced by coastal trapped waves over a submarine canyon in an idealized eastern boundary margin Gonzalo S. Saldías, Universidad del Bio-Bío, Concepcion, Chile, gsaldias@ubiobio.cl Karina Ramos-Musalem, Universidad Nacional Autónoma de México, Mexico City, Mexico, kramosmu@atmosfera.unam.mx Susan Allen, University of British Columbia, sallen@eoas.ubc.ca Date of model runs: Model was run for 50 model days - arbitrary dates Runs were done in 2019-11 to 2020-02 using the Regional Ocean Modeling System -------------------- DATA & FILE OVERVIEW -------------------- There are 3 experiments, each with 2 runs: one run uses a bathymetry of a straight shelf incised by a submarine canyon (code CR= canyon run) and the other one uses a straight shelf with no canyon (code NCR= no canyon run). Each experiment has a different shelf slope: DS= deep shelf, IS=Intermediate shelf, SS=Shallow shelf. In this numerical experiments, a coastal trapped wave of period 7 days, imposed at the southern boundary, propagates along the shelf for 50 model days, passing over a submarine canyon. All experiments are initialized with the same horizontally uniform temperature and salinity profiles. In summary: CR_DS: Uses the bathymetry of a straight shelf incised by a submarine canyon and a deep shelf (smallest shelf slope). NCR_DS: Uses the bathymetry of a straight shelf and a deep shelf (smallest shelf slope). CR_IS: Uses the bathymetry of a straight shelf incised by a submarine canyon and an intermediate shelf (intermediate shelf slope). NCR_IS: Uses the bathymetry of a straight shelf and a deep shelf (intermediate shelf slope). CR_SS: Uses the bathymetry of a straight shelf incised by a submarine canyon and a shallow shelf (largest shelf slope). NCR_SS: Uses the bathymetry of a straight shelf and a shallow shelf (largest shelf slope). Files uploaded here contain a subset of the domain; they only contain the area around the canyon (highest spatial resolution). The original domain was 400 km by 800 km, and here we share a region of 40 km from the coast (the shelf width) by 80 km alongshore (40 km to either side of the canyon axis). File list: ocean_his_ctw_CR_DS_7d_subdomain.nc - This file contains velocity, temperature and salinity fields from the run CR_DS. ocean_his_ctw_NCR_DS_7d_subdomain.nc - This file contains velocity, temperature and salinity fields from the run NCR_DS. ocean_his_ctw_CR_IS_7d_subdomain.nc - This file contains velocity, temperature and salinity fields from the run CR_IS. ocean_his_ctw_NCR_IS_7d_subdomain.nc - This file contains velocity, temperature and salinity fields from the run NCR_IS. ocean_his_ctw_CR_SS_7d_subdomain.nc - This file contains velocity, temperature and salinity fields from the run CR_SS. ocean_his_ctw_NCR_SS_7d_subdomain.nc - This file contains velocity, temperature and salinity fields from the run NCR_SS. -------------------------- METHODOLOGICAL INFORMATION -------------------------- Model Version: ROMS/TOMS, Version 3.7 Scripts for processing the data into the figures for the primary publication is available at: https://github.com/UBC-MOAD/Saldias_et_al_2021 -------------------------- FILE-SPECIFIC INFORMATION -------------------------- For each file Grid: The grid has 301 x 200 grid points in the horizontal and 30 depth levels. Time: Snapshots every 4.8 hr for 45 days (225 records, starts in day 5).
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.070 | 0.059 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".