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Record W4394771003 · doi:10.1088/1748-9326/ad3e17

Arctic as the ‘radiator fins’ of Earth in a warming climate

2024· article· en· W4394771003 on OpenAlexafffund
Han Huang, Yi Huang

Bibliographic record

VenueEnvironmental Research Letters · 2024
Typearticle
Languageen
FieldEnvironmental Science
TopicAtmospheric and Environmental Gas Dynamics
Canadian institutionsMcGill University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsEnvironmental scienceArcticEarth's energy budgetAtmospheric sciencesClimatologyGlobal warmingRadiative coolingClimate changeRadiative forcingRadiationMeteorologyGeologyGeographyOceanographyPhysics

Abstract

fetched live from OpenAlex

Abstract Earth radiates thermal radiation to balance the solar radiation it receives. Central to understanding climate change is how the radiation energy budget adjusts both globally and locally to external and internal forcing. In the past 18 years, satellite observations reveal a distinct positive trend of the Earth thermal radiation in the Arctic, which acts to radiate excess heating accumulating in the climate system to the space during global warming, i.e. a radiator fin region in a warming climate. Compared with other regions such as the tropics, the prominent trend in the Arctic results from a stronger surface and atmospheric warming and a less offsetting greenhouse effect of water vapor. Spectral decompositions further show the increase of thermal emission in the Arctic mainly originates from the far-infrared and mid-infrared window region and affirms the unbalanced radiative responses to temperature and humidity changes in these two spectral regions account for the unique thermal radiation trend in the Arctic.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.013
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.014
GPT teacher head0.268
Teacher spread0.254 · 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

Citations1
Published2024
Admission routes2
Has abstractyes

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