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Record W2129005425 · doi:10.1109/igarss.1991.580005

Optical Extinction And Microwave Scattering Within A Seasonally Varying Snow Covered Sea Ice Surface.

2005· article· en· W2129005425 on OpenAlexaff
David G. Barber, Roger De Abreu, E. LeDrew

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicArctic and Antarctic ice dynamics
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsSnowEnvironmental scienceSea iceMicrowaveAtmospheric sciencesAlbedo (alchemy)Remote sensingPhotosynthetically active radiationScatteringShortwave radiationMolar absorptivitySea ice concentrationRadiationCryosphereGeologyMeteorologySea ice thicknessClimatologyOpticsGeographyPhysics

Abstract

fetched live from OpenAlex

In this paper we report on the theoretical distinctions between visible and microwavelength interaction within a snow covered sea ice surface. Empirical models of shortwave (0.4 - 2.5 pm) extinction are compared with models of microwave (2.4 - 7.5 cm) penetration. Transmissivity, reflectivity and absorptivity of short wave radiation are compared with dielectric changes affecting the microwave scattering from the snow covered ice surface. Results of this comparison are used in developing proxy indicators of climatological albedo and sub-ice photosynthetically active radiation, using active microwave signatures of the seasonally varying snow covered sea ice surface. Data from the SIMS'90 field experiment are used to validate the theoretical constructs described.

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 score0.002
Threshold uncertainty score0.004

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)0.0010.000

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 head0.011
GPT teacher head0.201
Teacher spread0.191 · 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
Published2005
Admission routes1
Has abstractyes

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