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Record W3020428333

High resolution EPICA ice core dust fluxes: intermittency, extremes and Holocene stability

2018· article· en· W3020428333 on OpenAlexaff
S. Lovejoy, Fabrice Lambert

Bibliographic record

VenueAGUFM · 2018
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeology and Paleoclimatology Research
Canadian institutionsMcGill University
Fundersnot available
KeywordsClimatologyInterglacialGeologyMilankovitch cyclesGlacial periodIce coreAtmospheric sciencesPaleontology
DOInot available

Abstract

fetched live from OpenAlex

Abstract. Recent research in climate variability as a function of temporal or spatial scale has shown that the majority of the variance power lies in what has up until now been considered an unimportant background with relatively little power in well-known frequencies, such as daily, seasonal, or orbital oscillations. Atmospheric variability as a function of scale can be divided in various dynamical regimes with alternating increasing and decreasing fluctuations: weather, macroweather, climate, macroclimate, megaclimate. Although a vast amount of data is available at small scales, the larger picture is not well constrained due to the scarcity and low resolution of long paleoclimatic time-series. Here, we analyse a unique centimetric resolution dust flux series from the EPICA Dome C ice-core in Antarctica that spans the past 800 000 years. The temporal resolution is 5 years over the last 400 kyrs, and 25 years over the last 800 kyrs, enabling the detailed statistical analysis and comparison of eight glaciation cycles. The main spectral peak of the complete record is superposed on a scaling (power law) process and accounts for only 4–15 % of the variability, the rest being in the scaling continuum, thus inverting the classical notions of foreground and background processes. We analyzed the glacial-interglacial cycles using two definitions: a fixed duration of 100 kyrs (segments) and a variable duration defined by the interglacial dust minima (cycles). Segments and cycles were further divided into eight consecutive phases. We found that the first two phases of each segment or cycle showed particularly large macroweather to climate transition scale Tc (around 2 kyrs), whereas later phases feature centennial transition scales (average of 250 kyr). This suggests that interglacials and glacial maxima are exceptionally stable when compared with the rest of a glacial cycle. The Holocene (with Tc ≈ 4 kyrs) had a particularly large Tc but it was not an outlier when compared with the phase 1 and 2 of other cycles. For each phase we quantified the drift, intermittency, and extremeness of the variability. Phases close to the interglacials (1, 2, 8) show low drift, moderate interm–7 display strong drift, weak intermittency, and weaker extremes.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.001

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 head0.049
GPT teacher head0.264
Teacher spread0.215 · 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 teacher head, not a consensus.

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
Published2018
Admission routes1
Has abstractyes

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