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Record W1589880247 · doi:10.5772/27590

Evaluation of Solar Spectra and Their Effects on Radiative Transfer and Climate Simulation

2012· book-chapter· en· W1589880247 on OpenAlexaff
Zhian Sun, Jiangnan Li, Jingmiao Liu

Bibliographic record

VenueInTech eBooks · 2012
Typebook-chapter
Languageen
FieldComputer Science
TopicSolar Radiation and Photovoltaics
Canadian institutionsUniversity of VictoriaEnvironment and Climate Change Canada
Fundersnot available
KeywordsSolar constantSolar irradianceIrradianceAtmospheric sciencesAtmosphere (unit)Environmental scienceSolar maximumRadiative transferSolar cyclePhysicsMeteorologyOpticsSolar wind

Abstract

fetched live from OpenAlex

In this chapter we will discuss solar spectral distributions and their corresponding impact on the climate, especially on the Earth’s atmospheric temperature and energy balance at the surface. Solar spectrum is defined as a spectral distribution of the solar radiation at the top of the atmosphere (TOA). It represents the incoming solar energy to the earth system containing the atmosphere and ocean. Solar radiation is the original driving force for the continuous circulations of atmosphere and ocean. It has been recognized that the variation of total solar irradiance (solar constant) at the TOA is one of the important factors impacting climate change, though the variation in total solar irradiance is very small, approximately only about 0.1% of the solar constant or about 1.3Wm−2 (Krivova et al, 2010). Besides the variation of the total solar irradiance the changes in the spectral distribution of the solar radiation can also affect the climate. However much less attention has been focused on this aspect.

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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.971
Threshold uncertainty score0.858

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 head0.035
GPT teacher head0.271
Teacher spread0.236 · 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 designOther design
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
Published2012
Admission routes1
Has abstractyes

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