Spectroscopic Issues For The Atmospheric Chemistry Experiment (Ace)
Bibliographic record
Abstract
The Atmospheric Chemistry Experiment (ACE), otherwise known as SCISAT-1, is a Canadian-led satellite mission for remote sensing of the Earths atmosphere. The satellite was launched August 12, 2003, and science operations began in February 2004. The primary instrument on board is a high-resolution (0.02 cm_1 ) Fourier transform spectrometer (ACE-FTS) operating in the infrared (750-4400 cm_1 ). The measurement technique employed is solar occultation. In preparation for the next processing version (version 3.0) of the ACE-FTS retrievals, the spectroscopic data for some key molecules have been evaluated. For CO2, there appears to be a 1-2 % variability in the intensities of lines used for pressure/temperature retrievals from the ACE-FTS. Very weak lines of H2O, used in the retrieval of water below about 12 km, exhibit extremely bad internal consistency in their intensities. New spectroscopic parameters for some of these weak water lines have been generated from the ACE-FTS spectra. HNO3 spectroscopic data in different wavenumber regions are not internally consistent. A scaling factor of 8.5 % is applied to the intensities of nitric acid lines near 1700 cm_1 in order to achieve consistency with the HNO3 lines near 900 cm_1 . The spectroscopic data for C2H6 is incomplete in HITRAN 2004 (including the C2H6 update). In particular, spectral features for ethane near 2967 cm_1 are missing in HITRAN, which causes problems in the retrievals for CH3Cl. Weak CH4 lines in the ACE-FTS spectra exhibit line shape problems that may be a consequence of line mixing. Bad residuals from these methane lines complicate the retrievals for a number of weak absorbers.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.015 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.020 | 0.012 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".