Data Assimilation of CrIS and TROPOMI Satellite CO Concentrations and its Potential for Constraining Global OH
Bibliographic record
Abstract
This work investigates the possibility of using high resolution carbon monoxide (CO) observations to constrain global mean hydroxyl radical concentrations ([OH]GM).An improved observational bound on [OH]GM would enhance understanding of chemical reaction rates in the atmosphere, specifically the lifetime of greenhouse gases like methane, and improve global atmospheric model calculations.A multispectral retrieval combining radiances from the Cross-Track Infrared Sounder (CrIS) and TROPOspheric Monitoring Instrument (TROPOMI) satellite instruments has potential to provide high vertical resolution of tropospheric CO.These observations are evaluated against existing measurements from Network for the Detection of Atmospheric Composition Change (NDACC) stations, the Measurement of Pollution in the Troposphere (MOPITT) satellite, and GEOS-Chem chemical transport model calculations.GEOS-Chem adjoint is used to determine sensitivities of each observing platform to estimated GEOS-Chem OH abundance in the troposphere.This should provide insight into OH reaction rates with CO, and whether CO could be used to estimate [OH]GM.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
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".