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Record W3210656568 · doi:10.31223/x52w4h

A 18,000 yr record of tropical land temperature, convective activity and rainfall seasonality from the maritime continent

2021· preprint· en· W3210656568 on OpenAlexfundno aff
Rienk H. Smittenberg, Kweku Afrifa Yamoah, Akkaneewut Chabangborn, Sakonvan Chawchai, Frederik Schenk, Minna Väliranta, Barbara Wohlfarth

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldEarth and Planetary Sciences
TopicGeology and Paleoclimatology Research
Canadian institutionsnot available
FundersVetenskapsrådetQueen's University
KeywordsClimatologyPaleoclimatologyEnvironmental sciencePeriod (music)Climate changeHoloceneConvectionOceanographyGeologyGeographyMeteorology

Abstract

fetched live from OpenAlex

The maritime continent exports an enormous amount of heat and moisture to the rest of the globe via deep atmospheric convection. How this export has changed through time during the last deglacial period and through the Holocene, is hardly known yet critical for the understanding of global climate dynamics. Here we present a continuous paleoclimate record from southern Thailand covering the last 18,000 years, including the first land-based temperature reconstruction of tropical SE Asia. We found evidence for a strongly seasonal climate for most of the deglacial period, causing biomass burning and suppression of rainforest growth, despite rising CO2 levels and increasing mean humidity. Temperatures were ca. 5°C cooler than today during the last cold stadial periods, and ca. 2°C warmer between 7000-2000 yr ago. We also find that tropical wet-season insolation (WSI) is a primary driver of deep atmospheric convection, exerting a strong influence on global climate dynamics.

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)0.000
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 score0.007
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.024
GPT teacher head0.255
Teacher spread0.231 · 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

Citations2
Published2021
Admission routes1
Has abstractyes

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