Characteristics, impacts and direct radiative forcing of aerosols at the ARM Southern Great Plains Central Facility
Bibliographic record
Abstract
Abstract. Based on the analysis of five years of field measurements of aerosol and meteorological variables, we present the characteristics, impacts and direct radiative forcing of aerosols at the Southern Great Plains (SGP) Central Facility (CF) of the Atmospheric Radiation Measurement (ARM) Program. Annual means of total submicron aerosol concentration for particles with aerodynamic diameter (Dp) < 1 mm, particle concentration (Np) for aerosols with 0.1 <−Dp<−10 mm, submicron light absorption coefficient (σ_a) and single scattering albedo at the SGP CF amount to 5306±392 cm−2, 654&olusmn;290 cm−3, 2.0±0.7 Mm−1 and 0.94±0.02, respectively, while those of submicron total scattering coefficient, hemispheric backscatter fraction, submicrometer scattering fraction (Rsp), Angström exponent, hygroscopic growth factor and visibility at 550 nm are 36±2 Mm−1, 0.12± 0.01, 0.84±0.03, 2.25±0.09 and 1.84±0.10, 38±2 km, respectively. Although they exhibit a considerable year-to-year variability, ,i>Rsp, σp, Np and ozone show some increase over the period examined here. This increase is accompanied by a decline in annual precipitation, column integrated water vapor, relative humidity, and cloud cover (particularly from 1998 to 2001) at the site. In particular, the marked precipitation deficit at the SGP CF in 2000 and 2001 is evident of drought associated with La Nina conditions. We compare the diabatic impacts and optical characteristics for smoke and dust aerosols. In general, aerosols at the ARM site produce a net diabatic cooling, with an estimated direct radiative forcing ranging from about −0.7 W m−2 in winter to −2.4 W m−2 in summer.
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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 | 0.001 |
| 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".