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Record W4408427512 · doi:10.5194/egusphere-egu25-11771

Coastal Floods and the Lingering Effects of the Shelfbreak Jet - A case study of how local ocean currents contribute to coastal flooding in Southern New England (US)

2025· preprint· en· W4408427512 on OpenAlexaboutno aff
Carolina M.L. Camargo, Christopher G. Piecuch, Britt Raubenheimer

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldEarth and Planetary Sciences
TopicTropical and Extratropical Cyclones Research
Canadian institutionsnot available
Fundersnot available
KeywordsFlooding (psychology)OceanographySea level riseCoastal floodJet (fluid)GeologyGeographyCurrent (fluid)ClimatologyEnvironmental scienceClimate change

Abstract

fetched live from OpenAlex

In March of 2018, a winter storm hit Southern New England (US East Coast), with most of the coastal cities experiencing minor to moderate coastal floods. However, days after the storm passed and the winds and waves calmed down, the tide-gauge data continued to reach minor flooding levels. What was the cause of this prolonged recurrent flooding? Here we argue that the lingering effects of local ocean current dynamics contributed to this flooding.Along the US East Coast, an important driver of coastal sea-level variability is ocean dynamics, related to both large-scale circulation, such as the Gulf Stream, but also smaller local ocean currents. A relevant circulation feature in Southern New England is the Shelfbreak jet (SBJ). The SBJ flows equatorward from the Labrador Sea towards the Gulf Stream at Cape Hatteras following the shelf break along the Northeast US coast. In a recent study, we showed that the SBJ and sea level along the southern New England coast are highly correlated, especially at timescales of 1-15 days (Camargo et al., 2024). ​​Since this frequency band coincides with the timescales of storm surges, we explore the implication of our findings for coastal flooding. We find that the SBJ explains, on average, about 25% of the storm surge variance for flood days along Southern New England. Specifically, for the March 2018 winter storm, SBJ dynamics are responsible for more than 90% of the storm surge observed 4 days after the peak of the storm. That is, there would have been no flooding so many days after the storm passed if not for SBJ-related-dynamics.Our results suggest local ocean dynamics are an important component of storm surges in Southern New England, and contribute to lingering flooding after a storm has passed. Thus, we advocate that ocean dynamics should be considered in flood studies elsewhere. Furthermore, our results suggest that focusing only on large-scale circulation, such as the Gulf Stream or ocean overturning, may not be satisfactory for understanding the most basic dynamics essential for making meaningful projections of the future.Reference: Camargo, C. M. L., Piecuch, C. G., & Raubenheimer, B. (2024). From Shelfbreak to Shoreline: Coastal sea level and local ocean dynamics in the northwest Atlantic. Geophysical Research Letters, 51, e2024GL109583. https://doi.org/10.1029/2024GL109583

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)0.001
metaresearch head score (Gemma)0.003
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.234
Threshold uncertainty score0.466

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.013
GPT teacher head0.247
Teacher spread0.234 · 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".

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Citations0
Published2025
Admission routes1
Has abstractyes

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