CORE inter-annual forced ocean ice simulation using E3SMv0-HiLAT-tx0.3v2 (HiLAT03)
Bibliographic record
Abstract
This data set supports the analysis presented in the manuscript: “Labrador Sea freshening linked to Beaufort Gyre freshwater release” (LA-UR-20-20936), which is under review for publication by Nature Communications. The model output is from a 186-year long simulation with the E3SMv0-HiLAT code that was described in the technical report: “An eddy-permitting ocean-sea ice general circulation model (E3SMv0-HiLAT03): Description and evaluation” (LA-UR-19-25177; doi: 10.2172/1542803), by Zhang et al.. The ocean and sea ice components are active, and their grid is configured with a nominal 0.3 degree horizontal resolution. The model is forced by an atmospheric data set that represents the atmospheric state from 1948 through 2009, and is repeated for 3 cycles. #---------------------------------------------------------------------------------------------------------- # Data description # Fri Jul 24 16:55:12 MDT 2020 # Contacts: Jiaxu Zhang (jiaxuzh@uw.edu) and Wilbert Weijer (wilbert@lanl.gov) #---------------------------------------------------------------------------------------------------------- Simulation length: 186 years Simulation machine: LANL HPC facility, on Grizzly Case name: t32_GIAF_woa13rest_deepenNares_Griz Time range: 012101-018612 (corresponding to Jan 1948 to Dec 2009) Grid file: gridFile/tx0.3v2_grid.nc In the post-processed files: pop = ocean output from POP2 mon = monthly ann = annual mean clim = monthly climatology ltm = long-term annual mean dec = decadal mean YYYYMM-YYYYMM = time range FastRel = Fast release case, corresponding to the 016001-017212 period FastAcc = Fast accumulation case, corresponding to the 017301-018512 period NH = data only contain the Northern Hemisphere Similarly, there are files for "BG" (Beaufort Gyre), "Davis_Strait", "Fram_Strait", "Labrador_Sea", "Labrador_Sea_Outflow", "Lancaster_Sound", and "Nares_Strait". These regions are illustrated in Figure 1 of the manuscript. Variable names: SALT = salinity UES = East flux of SALT UVEL = Zonal Velocity VNS = North flux of SALT VVEL = Meridional velocity DYE01 = dye tracer that tags the Beaufort Gyre freshwater (from surface to the reference salinity of 34.6) DSALT01 = salt tracer that tags the Beaufort Gyre salinity (from surface to the reference salinity of 34.6) UE_DSALT01 = East flux of DSALT01 VN_DSALT01 = North flux of DSALT01 In the transport folder: File names: transport.[StraitName].012101-018612.txt Content: Diagnosed transport at a specific strait. Structure: 4 columns are 1. Model time (days since 0001-01) 2. Volume transport (Sv) 3. Heat transport (PW) 4. Liquid freshwater transport (mSv) For all the transports, positive is poleward, negative is equatorward. File names: [CaseName].transport.BG_portion.[StraitName].txt Content: Diagnosed BG-sourced transport at a specific strait for either FastRel or FastAcc case. Structure: 8 columes are 1. Model time (days since 0001-01) 2. Volume transport (Sv) 3. Liquid freshwater transport (mSv) 4. Validation data, please ignore 5. Validation data, please ignore 6. Volume transport sourced from BG alone (Sv) 7. Liquid freshwater transport sourced from BG alone (mSv) 8. Validation data, please ignore
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.002 |
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".