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Record W3131452147 · doi:10.20383/101.0184

Atmospheric Chemistry Experiment Fourier Transform Spectrometer Level 2 Data v2.2

2019· article· en· W3131452147 on OpenAlexaboutno aff
C. D. Boone

Bibliographic record

VenueOpen MIND · 2019
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicAtmospheric Ozone and Climate
Canadian institutionsnot available
Fundersnot available
KeywordsOccultationAtmospheric chemistryAtmospheric sciencesEnvironmental scienceSCIAMACHYMeteorologyRadianceSatelliteAtmosphere (unit)Trace gasRemote sensingTroposphereOzoneGeologyPhysicsAstronomy

Abstract

fetched live from OpenAlex

The Atmospheric Chemistry Experiment (ACE) is a Canadian satellite mission for remote sensing of the Earth's atmosphere that was launched into a high-inclination (74°), circular low-earth (650 km from the surface) orbit on August 12, 2003 (Bernath et al., 2006). This orbit gives SCISAT coverage of tropical, mid-latitude, and polar regions, ranging from latitudes 85N to 85S, allowing it to study a range of atmospheric processes. The main goal of ACE is to study the atmospheric chemistry and dynamics that affect stratospheric ozone depletion in the Arctic, but ACE measurements are also being used to study ozone depletion in the Antarctic, the relationship between chemistry and climate change, the atmospheric effects of biomass burning, the effects of aerosols and clouds on the global energy balance, and many other areas of atmospheric science. The primary instrument on ACE, a high-resolution Fourier Transform Spectrometer (FTS), is used in solar occultation mode to determine vertical profiles of trace gas volume mixing ratios (VMRs) and temperature. The ACE-FTS records a measurement every 2s, corresponding to a typical altitude spacing of 2-6 km. On the ground at the University of Waterloo, the retrieved results are interpolated onto a 1 km “grid” using a piecewise quadratic method. Included in this data set are ascii files for each "occultation", on both the "retrieval", or "measurement" grid ("tangrid") and the "scientific", 1 km grid, cataloged using the naming conventions "sr*****" and "ss*****" for sunrises and sunsets, respectively. Further, there is an additional pair of files for each occultation event for less abundant, subsidiary isotopologues (marked "sx*****iso.asc, etc.). All files contain a short header, followed by a series of columns with VMRs for each molecule. More detailed information can be accessed in the two attached documents, "ACEFTSPublicReleaseDocumentation.pdf", which includes background and supporting material to best make use of the data, and "ACE-SOC-0011-1D-ACE-FTS_ascii_fileformat_for_v2.2.pdf", with general comments on the file and data formatting itself. All retrieved molecules and their VMRs are presented in the ace_v2.2_asc.zip file, except for three species that were fixed and released shortly afterward. Data for ozone (O3), HDO, and N2O5 can be found in separate zip files, named according to the molecule they contain. Heavy water, HDO, is presented alongside all other isotopologues, while O3 and N2O5 are provided in a single, unique column.

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)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.053
Threshold uncertainty score0.105

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0220.014

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 head0.058
GPT teacher head0.280
Teacher spread0.222 · 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 designNot applicable
Domainnot available
GenreDataset

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
Published2019
Admission routes1
Has abstractyes

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