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Record W4407407444 · doi:10.1080/15230430.2024.2445945

Tree-ring evidence of the elusive 1959 summer cold event in northwestern North America

2025· article· en· W4407407444 on OpenAlexaffabout
Caroline Leland, Nicole Davi, Rosanne D’Arrigo, Laia Andreu‐Hayles, Arturo Pacheco-Solana, Julie Edwards, Kevin J. Anchukaitis, Trevor J. Porter, Michael F. J. Pisaric, Madeleine Mant, Tracey Galloway, Rose Oelkers

Bibliographic record

VenueArctic Antarctic and Alpine Research · 2025
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicTree-ring climate responses
Canadian institutionsBrock UniversityUniversity of Toronto
Fundersnot available
KeywordsDendrochronologyEvent (particle physics)GeographyPhysical geographyClimatologyHistoryGeologyArchaeology

Abstract

fetched live from OpenAlex

Tree-ring records in northwestern North America suggest that the year 1959 was anomalously cold relative to the last several centuries. Here, we investigate the spatial characteristics, specific timing, and magnitude of the 1959 cold event through analyzing a multiparameter tree-ring network, including two wood anatomical records, and climate reanalysis data. By assessing the sensitivity of tree-ring data to a climate extreme during the instrumental era, we can better understand the capacity of these records to capture historical climate extremes. Our results suggest that cool conditions prevailed across the region in the summer of 1959, but the most extreme cold was centered around northwestern Canada, where maximum latewood density and cell wall thickness anomalies were exceedingly low. Though the entire summer of 1959 was cool, a brief episode of record cold temperatures from late July through early August likely contributed greatly to the extreme tree-ring anomalies. Our findings highlight that climate extremes during critical periods of the growing season can leave a significant imprint on maximum latewood density and that high-resolution wood anatomical data can be particularly powerful for identifying and potentially reconstructing the timing, duration, and magnitude of historical and undocumented climate 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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.046
Threshold uncertainty score0.954

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.050
GPT teacher head0.333
Teacher spread0.283 · 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.

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

Citations4
Published2025
Admission routes2
Has abstractyes

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