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Record W2029508794 · doi:10.1080/01431160902906162

Analysis of the factors exciting the ocean–atmosphere heat interaction in the North Atlantic using satellite and vessel data

2010· article· en· W2029508794 on OpenAlexaboutno aff
А. Г. Гранков, Alexander A. Milshin

Bibliographic record

VenueInternational Journal of Remote Sensing · 2010
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicMeteorological Phenomena and Simulations
Canadian institutionsnot available
FundersNational Oceanic and Atmospheric AdministrationState Space Corporation ROSCOSMOSNational Aeronautics and Space Administration
KeywordsAtmosphere (unit)Environmental scienceDefense Meteorological Satellite ProgramSatelliteAtmospheric sciencesBrightness temperatureSea surface temperaturePlanetary boundary layerLatitudeMeteorologyRemote sensingMicrowaveClimatologyGeologyPhysics

Abstract

fetched live from OpenAlex

This paper demonstrates some results of using passive microwave (MCW) radiometric methods for an analysis related to the processes of heat air–sea interaction at synoptic time scales in the Newfoundland energetically active zone (EAZ) of the North Atlantic, where the activity of the mid-latitude cyclones is very high. We started with the idea of using the resonance bands of natural MCW radiation absorption in the atmospheric water vapour (1.35 cm) and molecular oxygen (∼0.5 cm) as representative of the relationship between the brightness temperature (T b) measured from satellites and from surface heat fluxes. Transferable by cyclones, horizontal heat fluxes in the atmosphere boundary layer cause changes in both vertical surface heat fluxes and T b simultaneously; this is the reason for the close connection between them. This effect testifies to the important role of the atmosphere in its heat interaction with the ocean (as a physical entity) as well as its T b in the resonance MCW bands (as a quantitative indicator of interaction). These results were obtained by combining meteorological and aerological data from NEWFOUEX-88 and ATLANTEX-90 experiments with stimulated T bs using these data, and the results of MCW radiometric measurements from the Defense Meteorological Satellites Program (DMSP) satellite F-08.

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 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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.356
Threshold uncertainty score0.344

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 head0.049
GPT teacher head0.283
Teacher spread0.234 · 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 teacher head, 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

Citations2
Published2010
Admission routes1
Has abstractyes

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