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Record W4415041258 · doi:10.1353/sgo.0.a972277

The summer isolated convection regime across the eastern UnitedStates: Geographic extent and regional onset evolution

2025· article· en· W4415041258 on OpenAlexaboutno aff
Thomas M. Rickenbach, Rosana Nieto Ferreira, Christopher Jarrett

Bibliographic record

VenueSoutheastern geographer · 2025
Typearticle
Languageen
FieldEnvironmental Science
TopicClimate variability and models
Canadian institutionsnot available
Fundersnot available
KeywordsPrecipitationSubtropicsConvectionSpring (device)Deep convectionSubtropical ridge

Abstract

fetched live from OpenAlex

Previous studies identified a monsoon-like summer regime of isolated, diurnally-forced convection across the southeastern US (SEUS), but the geographic extent and onset timing of this regime across the eastern US was unresolved. This study focuses on that question using a highresolution radar-based precipitation dataset for a seven-year period. It is found that, on average, onset of the summer isolated convection regime begins in late April in South Florida, extends northward to the Carolinas by mid-May, and to the Canadian border by the end of May. Onset then extends westward from the mid-Atlantic region to just beyond the Mississippi River and as far as east Texas by mid-June. The timing and geographical extent of onset are consistent with previous findings linking this regime with the spring to summer westward migration of the North Atlantic Subtropical High into the SEUS. These results are consistent with the establishment of a more prominent monsoon-like precipitation regime centered in the SEUS as the Earth warms.

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 score0.095
Threshold uncertainty score0.190

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.015
GPT teacher head0.251
Teacher spread0.236 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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