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Record W2119899902 · doi:10.1029/2006gl027300

Relationships between albedo and microwave emissions over thin newly formed sea ice during fall freeze‐up

2006· article· en· W2119899902 on OpenAlexaff
Byongjun Hwang, Jens K. Ehn, David G. Barber

Bibliographic record

VenueGeophysical Research Letters · 2006
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicArctic and Antarctic ice dynamics
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsAlbedo (alchemy)Sea iceEnvironmental scienceSnowCryosphereClimatologySea ice concentrationArctic ice packIce-albedo feedbackMicrowaveAtmospheric sciencesArcticSea ice thicknessGeologyMeteorologyOceanographyGeography

Abstract

fetched live from OpenAlex

This study examines the relationship between albedo and microwave emissions over thin newly formed Arctic sea ice using in‐situ measurements collected 19 Oct – 13 Nov 2003 in the Cape Bathurst Polynya, southern Beaufort Sea. Regression analysis show that statistically significant relationships exist between the microwave polarization ratio (PR(19)) and sea ice albedo. The albedo derived from the relationship with the PR(19) is compared to the albedo calculated from two parameterization schemes used in the climate models. The results show that the parameterized albedo significantly underestimates over thin ice or overestimates over thick snow‐covered ice relative to both the in‐situ and microwave‐derived albedo. This study suggest that use of satellite passive microwave data should be considered in order to improve the treatment of surface albedo in regional climate models, in seasonal or marginal ice zones.

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)0.001
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 score0.011
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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 head0.030
GPT teacher head0.265
Teacher spread0.235 · 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

Citations2
Published2006
Admission routes1
Has abstractyes

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