Intercomparisons of High‐Resolution Global Ocean Analyses: Evaluation of A New Synthesis in Tropical Oceans
Bibliographic record
Abstract
Abstract A new high‐resolution global analysis product is constructed from a fully coupled surface wave‐tide‐circulation Ocean Model developed by the First Institute of Oceanography Coupled Ocean Model (FIO‐COM). The performance of the FIO‐COM analysis data set is assessed based on comparisons with two other widely used high‐resolution global analysis products (Copernicus marine and environment monitoring service and HYbrid isopycnal‐sigma‐pressure coordinate ocean model), and observations in tropical oceans. Through comparison with observations, the FIO‐COM analysis is shown to be able to accurately capture the large‐scale mixed layer depth (MLD) structures in the tropical oceans during all seasons. Seasonal variations of MLDs can exceed ±80% in the southern and northern tropical oceans (10°‐25°S and 10°‐25°N) in both boreal winter and summer, as inferred from observations and FIO‐COM analysis data. Quantitative assessments of the 20°C isothermal depth, temperature at 5°m depth, and temperature and salinity profiles, among the analyses and in situ observations are also conducted. The capability of the FIO‐COM analysis to reflect the observed sea surface temperature variability during the 2015 El Niño episode is further investigated through comparisons with observations from 19 TAO buoys located in the Niño 3.4 region. All indicate the high quality of the new data set.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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 teacher head, 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".