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Record W2087073516 · doi:10.1117/1.jrs.7.073531

Trends in latent and sensible heat fluxes over the oceans surrounding the Arctic Ocean

2013· article· en· W2087073516 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of Applied Remote Sensing · 2013
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicArctic and Antarctic ice dynamics
Canadian institutionsnot available
FundersNational Natural Science Foundation of ChinaNational Center for Atmospheric ResearchNational Science Foundation
KeywordsLatent heatClimatologyArcticBayEnvironmental scienceAnomaly (physics)OceanographyHumidityNorth Atlantic oscillationSensible heatThe arcticArctic oscillationGeographyGeologyAtmospheric sciencesMeteorology

Abstract

fetched live from OpenAlex

The trends in latent and sensible heat fluxes (LHF and SHF) over the oceans surrounding the Arctic Ocean and the contributions of the Arctic Oscillation, the Arctic dipole anomaly, the third principal component, and the Pacific-North American pattern on them are investigated using the objectively analyzed air-sea fluxes (OAFlux) dataset from 1979 to 2008. Significant positive trends in LHF appear over western and northern European coasts and the coast of the Aleutian Islands, especially in autumn. Besides in summer, autumn and winter positive trends in LHF also exist over the coast of the western North Pacific Ocean; in summer, there is also a patch of positive trends over the central North Atlantic Ocean. On the contrary, negative trends in LHF change greatly in a year. There are main negative trend centers over the Barents Sea, the coast of northeast Canada, the Bering Sea, the Sea of Okhotsk, and Hudson Bay, especially in summer and autumn. Trends in SHF are similar to those in LHF except for a small difference in area. There are significant correlations between the four indices and both LHF and SHF over these oceanic regions which result mainly from strong relationships between the sea–air-specific humidity and temperature differences and the four indices. The four indices only explain a small portion of the trends in LHF and SHF. The trends in air–sea-specific humidity and temperature differences are more closely associated with those in LHF and SHF than those in wind speed.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.895
Threshold uncertainty score0.353

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.011
GPT teacher head0.206
Teacher spread0.195 · 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