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Record W4408437633 · doi:10.5194/egusphere-egu25-6921

A Significant In-Situ Diurnal Warming Event in the Labrador Sea Unobserved by Satellite Observations

2025· preprint· en· W4408437633 on OpenAlexaboutno aff
Simon Hauser, Anneke ten Doeschate, Brian Ward, Leonie Esters

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldEarth and Planetary Sciences
TopicOceanographic and Atmospheric Processes
Canadian institutionsnot available
Fundersnot available
KeywordsSatelliteEnvironmental scienceClimatologyIn situEvent (particle physics)DaytimeOceanographyAtmospheric sciencesGeographyMeteorologyGeologyPhysicsAstrophysicsAstronomy

Abstract

fetched live from OpenAlex

Diurnal warming (DW) at the ocean surface occurs when there is sufficient solar heating in the absence of vertical mixing. Observations of a DW event of 1.5 °C confined to the upper 2 m in the Labrador Sea at ~55°N were conducted with an upwardly-rising microstructure profiler. DW has been well described using satellite and in-situ observations, but there are very few reports at northerly latitudes. Contemporaneous satellite observations indicate a region that is largely obscured by clouds thereby preventing spaceborne detection of this DW event. Combining our in-situ observations with the ERA5 reanalysis product, we derive a set of conditions for potential DW in the Labrador Sea: shortwave radiation above 600 W/m2; total cloud cover less than 30%; and 10-m windspeed lower than 4 m/s. Based on this analysis, DW events in the Labrador Sea have the potential to occur more frequently than satellites can observe. A first look at microstructure profiler data from other regions of the North Atlantic indicates that such conditions can also be derived for these regions.

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.917
Threshold uncertainty score0.166

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.029
GPT teacher head0.237
Teacher spread0.208 · 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 designObservational
Domainnot available
GenreEmpirical

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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