Towards an assessment of riverine dissolved organic carbon in surface waters of the Western Arctic Ocean based on remote sensing and biogeochemical modeling
Bibliographic record
Abstract
Abstract. Future climate warming of the Arctic could potentially enhance the load of riverine dissolved organic carbon (RDOC) of Arctic rivers due to increased carbon mobilization within watersheds. A greater flux of RDOC might thus impact the biogeochemical processes of the coastal Arctic Ocean (AO). In this study, we show that estimates of RDOC concentrations in the surface waters of the Canadian Beaufort Sea computed for 2003–2011 by both optical remote sensing and a physical-biogeochemical coupled model compare favorably. Our results suggest that, over spring-summer, RDOC contributes to 35 % of primary production and that an equivalent of ~ 10 % of the riverine RDOC is exported westwards with a potential for fueling the biological production of the eastern Alaskan nearshore waters. The combination of model and satellite data can be extended to the entire AO to quantify the expected changes in RDOC fluxes and their potential impact on AO biogeochemistry. This is left for future work.
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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) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| 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".