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Record W4387359621 · doi:10.33540/1989

Where does the freshwater go?

2023· dissertation· en· W4387359621 on OpenAlexaboutno aff
Elodie Duyck

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldEarth and Planetary Sciences
TopicArctic and Antarctic ice dynamics
Canadian institutionsnot available
FundersNational Oceanic and Atmospheric AdministrationNederlandse Organisatie voor Wetenschappelijk OnderzoekCoordenação de Aperfeiçoamento de Pessoal de Nível SuperiorJohns Hopkins UniversityNational Aeronautics and Space AdministrationKoninklijk Nederlands Instituut voor Onderzoek der ZeeNational Science Foundation
KeywordsOceanographyGeologyContinental shelfOcean currentPolar frontBoundary currentEddyGulf StreamThermohaline circulationClimatologyArcticGeographyMeteorology

Abstract

fetched live from OpenAlex

In the Atlantic, the ocean circulation transports warm and light waters northwards at the surface, and cold and dense waters southwards at depth. This large-scale circulation is called Atlantic Meridional Overturning Circulation (AMOC) and is a key element of the climate system. Increasing fluxes of freshwater from Greenland and the Arctic to the Subpolar North Atlantic (SPNA) could contribute to the weakening of the AMOC in a changing climate by inhibiting deep convection and the formation of deep waters in the Labrador Sea, Irminger Sea and Nordic Seas. However, these fresh waters are first advected over the Greenland continental shelf by narrow western boundary currents. While west of Greenland, both eddies and winds are known to play a role in steering shelf waters into the interior of the Labrador Sea, possible pathways for freshwater into the Irminger and Nordic Seas east of Greenland have been less studied. As recent observations demonstrated the importance of overturning east of Greenland for the AMOC, it is critical to better understand how fresh shelf waters reach these regions. To do so, I used a new observational dataset, composed of 120 surface drifters deployed in five different regions of the east Greenland shelf between 2019 and 2022. Trajectories from these surface drifters show very limited advection of fresh shelf waters into the Irminger Sea and the Nordic Seas. Some areas of the east Greenland shelf are more favourable to export, and eddies and winds can drive local exchanges between the shelf and neighbouring seas. For instance, I show that at the southern tip of Greenland, strong westerly wind events can drive fresh surface waters off-shelf. This new drifter dataset also allowed to investigate the surface circulation over the shelf in areas where observations were so far sparse. The western boundary current that flows along the east Greenland coast is composed of two distinct branches, and I show that the complex shape of the seabed causes these branches to interact. This leads to further constrain of fresh waters towards the coast along the south-east Greenland shelf, and to a spreading of fresh coastal waters towards the edge of the continental shelf at the southern tip of Greenland. The small scale of the east Greenland shelf is a major challenge for the ability of climate models to correctly represent the circulation of fresh shelf waters and where they exit the shelf. Using the HadGEM3 climate models at different resolution, I show that while the one-degree resolution model is unable to represent the circulation around Greenland, increasing the resolution to 0.25 and 0.12 degrees is not sufficient to properly represent cross-shelf exchanges, even though it allows for a better representation of the circulation. This misrepresentation can lead to under or overestimation of freshwater export into the interior seas of the SPNA. Further observational and modelling studies are necessary to understand exchanges between the north-east Greenland shelf and the Nordic Seas, the role of sea ice, and to quantify the input of freshwater to deep convection regions.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.055
Threshold uncertainty score0.109

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0030.004
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0180.003

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.

Opus teacher head0.008
GPT teacher head0.214
Teacher spread0.207 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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