Optical properties of melting landfast sea ice and underlying seawater in Santala Bay, Gulf of Finland
Bibliographic record
Abstract
In March and early April 2000, spectral irradiance measurements were conducted on 10 occasions above and beneath the landfast sea ice in Santala Bay near the entrance to the Gulf of Finland. The measurements included the spectral albedo and transmittance of the sea ice and the downwelling and upwelling spectral irradiance at different depths in the water column. Spectral albedos integrated over 400–700 nm photosynthetically active radiation (PAR) were in the range of 0.16–0.58, with most common values between 0.33 and 0.42. Maximum transmittances for the ice are found close to 570 nm, decreasing toward shorter and longer wavelengths. Correspondingly, diffuse attenuation coefficients for both seawater and sea ice agree well with earlier measurements in the Baltic Sea and have a PAR attenuation of 0.4–0.7 and 3.1–4.7 m−1, respectively. During the measurement period the ice reached its maximum thickness of 28 cm and thereafter started to decay. The sea ice was snow free; however, the formation of high‐scattering melt/freeze layers above the freeboard largely increased the surface reflectance. Discharged meltwater was retained beneath the sea ice, forming a low‐salinity layer which only disappeared as the ice ablated in April. Compared with many parts of the Arctic, the sea ice and seawater in Santala Bay contain higher amounts of dissolved and particulate matter, which are indicated by high absorption at wavelengths below 700 nm and thus potentially increase the melt rate of the sea ice.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 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".