Polar Fresh Water in a Changing Global Climate: Linking Arctic and Southern Ocean Processes
Bibliographic record
Abstract
A fter three days of comprehensive review presentations, productive discussions, and enthusiastic debate, the online Workshop on Polar Fresh Water: Sources, Pathways and Impacts of Freshwater in Northern and Southern Polar Oceans and Seas jointly organized by the Northern Oceans Region Panel (NORP) and the Southern Ocean Region Panel (SORP) of the Climate and Ocean Variability and Predictability and Change (CLIVAR), co-sponsored by Climate and Cryosphere (CliC) and the Scientific Committee on Antarctic Research (SCAR), concluded successfully on 21 September 2022.This workshop brought together scientists with expertise in processes of the northern and southern high-latitude oceans to review the role and evolution of polar freshwater (FW) and compare and contrast the two polar oceans.In the oceanographic context of the workshop FW includes both non-salty sources such as precipitation or meltwater and relative "fresh" water masses of low salinity.We took the participants on a journey a bit out of their comfort zone to better understand FW influences in the polar oceans, from the coast to the global basins, and from the sea ice and snow cover to the deep ocean.The workshop's narrative was designed to trace FW from its sources in rivers, meltwater, glacial calving, sea ice export, precipitation, and advected salinity anomalies to its impacts on ocean stratification and circulation with their implications for the global climate system.We connected observationalists, modelers, remote sensing experts, and those carrying out data assimilation with the aim of providing a holistic overview of polar FW and its projected future evolution.Both regional and global ocean communities took part.Many experts from both Northern and Southern Hemispheres joined, with less representation from large-scale climate modelers, however.This emphasizes the need for a more concerted effort to enhance exchange between the "regional" experts and the Earth system modeling specialists to better represent polar processes that have global impacts in climate change simulations.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.000 | 0.002 |
| 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".