Autonomous Year‐Round Measurements of O <sub>3</sub> , CO, CH <sub>4</sub> , and N <sub>2</sub> O in the High Arctic With the Atmospheric Emitted Radiance Interferometer
Bibliographic record
Abstract
Abstract Despite its status as a proverbial canary in the coal mine for global climate change, the Arctic has limited observational data, particularly during polar night. Longwave atmospheric emission has been recorded since 2006 at the Polar Environment Atmospheric Research Laboratory, located at Eureka, Nunavut, Canada (80N). Profiles and total columns of ozone (), carbon monoxide (CO), methane (), and nitrous oxide () were retrieved from these measurements from 2008 to 2022, and the contribution of the water vapour continuum to the radiative transfer improved the spectral fitting. The mean relative difference between the Extended‐range Atmospheric Emitted Radiance Interferometer (E‐AERI) and those from co‐located instruments (Bruker 125HR, Triax‐180 UV‐VIS spectrometers, and ozonesondes) were reasonable: after smoothing with the E‐AERI averaging kernel, these differences are +15.8% for , −0.1% for , +7.1% for , and +0.8% for compared to the 125HR, and are +17.8% and +24.2% for compared to the GBSs and ozonesondes, respectively. Significant depletion and enhancement events as a result of polar vortex dynamics/chemistry and wildfires respectively were also observed in the E‐AERI time series, along with the diurnal cycle. Finally, trends of +0.31 0.17% , −0.75 0.14% , +0.94 0.09% , and +0.38 0.05% from 2011 to 2022 were found for , , , and total columns, respectively, generally consistent with previously reported global and regional trends.
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 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) | 0.000 | 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".