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Record W2373440338

Comparison of Temperature and Ozone Profiles Derived from Lidar and SAGE II Measurements over Toronto Region:Part II

2001· article· en· W2373440338 on OpenAlexaboutno aff
Guo Shi-chang

Bibliographic record

VenueYunnan Daxue xuebao. Shehui kexue ban · 2001
Typearticle
Languageen
FieldEnvironmental Science
TopicAtmospheric aerosols and clouds
Canadian institutionsnot available
Fundersnot available
KeywordsAltitude (triangle)LidarDialOzoneAtmospheric sciencesEnvironmental scienceSAGERange (aeronautics)Mixing ratioAerosolStratosphereDensity of airMeteorologyMaterials sciencePhysicsOpticsMathematicsNuclear physics
DOInot available

Abstract

fetched live from OpenAlex

Based on the observational data of ISTS Differential Absorption Lidar (DIAL) and NASA Stratospheric Aerosol and Gas Experiment Ⅱ (SAGE Ⅱ) in 1994 and 1995,the temperature and ozone profiles derived from the two measurement systems over Toronto region are analyzed and compared.It is indicated by the results that ① The temperature profiles derived from the SAGE Ⅱ observations is in good agreement with those from DIAL measurement,especially in the vertical range of 15.5-35.5?km;② in the vertical range of 15.5-40.5?km,the range of absolute difference between LIDAR and SAGE Ⅱ ozone mixing ratio is roughly in agreement within ±2×10 -6 (volume fraction);③ under usual conditions,below 35?km or so,ozone number density profiles derived from DIAL measurement possess higher precision than that from SAGE Ⅱ measurement,and above this altitude,vice versa.Specially,over the altitude range from 21.5-35.5?km,including the maximum O 3 number density layer,the 8-profile-averaged relative difference is extremely close to zero,and the vertical mean value is 0.96±7.64% (1σ).

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.425
Threshold uncertainty score0.855

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.022
GPT teacher head0.253
Teacher spread0.230 · 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

Citations0
Published2001
Admission routes1
Has abstractyes

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