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Record W4415269202 · doi:10.21203/rs.3.rs-7656605/v1

Persistent influence of the North Atlantic Oscillation on Late Holocene hydroclimate in southwestern Greenland

2025· preprint· W4415269202 on OpenAlexaff
Johan C. Faust, Yang Zhang, Andreas Born, Tilo von Dobeneck, H. Schulz, Anjuly Janßen, S. Mukherjee, Henrieka Detlef, Marit‐Solveig Seidenkrantz, Rebecca Jackson, Jürgen Titschack, Anne de Vernal, Michal Kučera

Bibliographic record

VenueResearch Square · 2025
Typepreprint
Language
FieldEarth and Planetary Sciences
TopicGeology and Paleoclimatology Research
Canadian institutionsUniversité du Québec à Montréal
FundersHORIZON EUROPE Framework ProgrammeDeutsche ForschungsgemeinschaftUniversität BremenEuropean Commission
KeywordsHoloceneNorth Atlantic oscillationIce sheetIce coreForcing (mathematics)PaleoclimatologyProxy (statistics)Climate changeGreenland ice sheetClimate oscillation

Abstract

fetched live from OpenAlex

Understanding how global climate forcing shapes regional hydroclimate on decadal to millennial timescales is critical for predicting the response of continental ice sheets to future warming. Because instrumental observations capture only a short interval, longer-term perspectives require proxy records. Here we present a high-resolution sedimentary record covering the entire Holocene from southwestern Greenland. We show that after the demise of local glaciers in the Early Holocene, the record allows evaluation of millennial to decadal variations in local precipitation. Comparison with North Atlantic Oscillation (NAO) reconstructions and climate model simulations demonstrates that positive NAO phases correspond to wetter but colder regional conditions. These findings suggest that centennial-scale patterns of ice mass balance during the late Holocene were influenced by precipitation variability, in addition to temperature changes. While the sensitivity to precipitation variability may change under a warmer climate, our results underscore the importance of integrating shifts in NAO-driven moisture delivery to accurately assess the future stability of the Greenland Ice Sheet.

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)0.001
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 score0.281
Threshold uncertainty score0.559

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
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 head0.044
GPT teacher head0.313
Teacher spread0.268 · 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

Citations1
Published2025
Admission routes1
Has abstractno

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