Transport, removal, and accummulation of sediments numerically simulated for paleo-oceans and reconstructed from cores of the eirik drift (TRANSPORTED)
Bibliographic record
Abstract
The Eirik Drift south of Greenland records the changes \nin sediment transport by the deep ocean currents of the North \nAtlantic. The most influential bottom current is the Western \nBoundary Undercurrent (WBUC) which plays a major role in \nthe global meridional overturning circulation and is driven by \ndeep water formation in the Greenland, Labrador, Norwegian \nand Iceland Seas. Tectonic events and changing climate condi \n- \ntions have altered the pathway and strength of the WBUC over \nthe last millions of years (Uenzelmann-Neben et al. (2016)). \nThese changes are recorded in the sediments of Eirik Drift. By \nmeans of seismic profiles (e.g., Müller-Michaels and Uenzel \n- \nmann-Neben (2014, 2015)) and drill cores (Expedition 303 Sci \n- \nentists (2006), Shipboard Scientific Party (1987)), sedimentati \n- \non rate and grain sizes can be determined since the late Miocene \nand the Pliocene. Both time slices have attracted interest of the \nclimatological community due to their resemblance to possible \nfuture anthropogenically modified climate states (Salzmann et \nal. (2009)). Several numerical climate and ocean studies have \nlinked local temperature and precipitation proxies to global \nclimate changes during the late Miocene and the Pliocene. In \nthe project TRANSPORTED we will link tectonic events and \nclimate change to alterations of the strength and flowpaths of \nthe WBUC and, hence, to sedimentation rates and grain sizes \nrecorded in the cores from Sites 646 and U1305-1307 in the \nEirik Drift. \nThe numerical simulations will be carried out with the Re \n- \ngional Ocean Modeling System (ROMS, Shchepetkin and Mc \n- \nWilliams (2005)). A regionalization to the North Atlantic enab \n- \nles us to simulate the areas of deep water formation in the North \nAtlantic and the Nordic Seas at unusually high spatial resolution and to resolve sediment transport by the WBUC in time and \nspace. ROMS is a modern and highly modular ocean model \ncode that uses terrain following sigma coordinates. The resul- \nting higher resolution of oceanic bottom layers and the state of \nthe art sediment and sea ice modules make ROMS a suitable \nchoice for the proposed sensitivity simulations (cf., Li (2012)). \nThis will lead to quantitative comparisons between simulated \nand reconstructed sediment transports at the Eirik Drift for the \nfirst time. Variations in sedimentation rate, sediment transport \nand grain sizes can be linked to climatic and tectonic events.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 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".