Microstructure observations of mixing and turbulent heat fluxes in the western Arctic Ocean
Bibliographic record
Abstract
The Arctic Ocean is characterized by a halocline rather than a thermocline, so that fresh water is found at the surface, with saltier (and often warmer) water beneath. In the western Arctic, the Pacific and Atlantic Oceans provide sources of oceanic heat. The year-round Pacific Summer Water (PSW) temperature maximum is found 40-80 m beneath the sea surface, while Atlantic Water (AW) is generally found deeper than 200 m. Both the Atlantic and Pacific source waters are warming, and the heat content of PSW has nearly doubled over the last three decades.The broad goals of this disseration are to identify the processes that regulate the release of heat out of these two water masses, to quantify the heat transported upwards where it may affect sea ice, and to understand how these processes may evolve in a changing Arctic Ocean. Microstructure data collected during the 2015 ArcticMix and 2018 Stratified Ocean Dynamics of the Arctic (SODA) process cruises provide a unique opportunity to observe the small-scale mixing associated with subsurface heat in the Canada Basin.Multiple processes play a role in setting turbulence rates in the western Arctic. Widespread double diffusive convection results in small upwards heat fluxes out of the AW. We investigate the possible influence of observed wind-generated near-inertial internal waves on AW turbulent heat fluxes and find that the impact is minimal, with AW heat fluxes consistently low due to a number of factors inhibiting the creation and vertical propagation of internal waves. We additionally investigate the relative importance of mixing processes associated with anomalously warm PSW intrusions. We find double diffusive convection results in high upwards heat fluxes out of two separate warm intrusions, one warm-core eddy observed in the 2015, and one slope current intrusion observed in 2018. We document a relationship between the vertical complexity of warm intrusions and the total heat flux out of them, with more complex vertical structure corresponding to increased overall mixing. This relationship is supported by 12 microstructure surveys that sampled PSW conducted across both 2015 and 2018.
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 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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 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".