Parameterizing the optical properties of carbonaceous aerosols in the Canadian Centre for Climate Modeling and Analysis Atmospheric General Circulation Model with impacts on global radiation and energy fluxes
Bibliographic record
Abstract
Parameterizations of the optical properties of black carbon (BC) and organic carbon (OC) aerosols in an external mixture are presented. The parameterizations in terms of look‐up tables are based on exact Mie calculations for a high number of wavelengths and values of the relative humidity. Both the shortwave, and the longwave portions of the atmospheric radiation spectra are considered. The parameterizations are used in the developmental version of the fourth generation Canadian Centre for Climate Modelling and Analysis (CCCma) Atmospheric General Circulation Model (AGCM). Previously, this model neglected the impact of OC and BC on the radiative fluxes. The effect of OC and BC on global radiation and energy fluxes is quantified and compared to other aerosol types. It is found that the fraction of the OC/BC aerosol direct effect is rather high. The OC/BC aerosol is responsible for 25% to 65% of the absolute value of the total direct aerosol effect on various radiation and energy fluxes. At the top of the atmosphere, the change in the net solar flux due to BC and OC is +0.31 W m−2, but the sum of all aerosols except for nitrate but including BC and OC leads to a decrease in the net solar flux of 1.16 W m−2. The sum of all aerosols without nitrate reduces the surface sensible heat flux by 0.84 W m−2 with a BC/OC fraction of 0.55 W m−2. For the surface latent heat flux, these values are 1.05 W m−2 and 0.50 W m−2, respectively.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".