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Kinematic and Thermodynamic Study of a Shallow Hailstorm Sampled by the McGill Bistatic Multiple-Doppler Radar Network

2001· article· en· W2115224840 on OpenAlexaffabout
Alain Protat, Isztar Zawadzki, Alain Caya

Bibliographic record

VenueJournal of the Atmospheric Sciences · 2001
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicMeteorological Phenomena and Simulations
Canadian institutionsMcGill University
Fundersnot available
KeywordsSupercellStormGeologyMesocycloneSquall lineMeteorologyConvective storm detectionThunderstormPrecipitationConvectionDoppler radarSevere weatherKinematicsAtmospheric sciencesDoppler effectPhysics

Abstract

fetched live from OpenAlex

In this paper, the authors examine the kinematic and thermodynamic characteristics of a shallow hailstorm sampled by the McGill bistatic multiple-Doppler radar network on 26 May 1997. This storm consists of two main shallow convective cells (depth less than 5 km) aligned along a SW–NE convective line propagating to the southeast. The authors also analyze the interactions between the two cells during the life cycle of the convective line. In particular it is shown that dynamic interactions play a major role in the intensification of the second cell. This storm is found to evolve in a manner that shares some characteristics with both multicell and supercell storms. A rotating updraft associated with a mesocyclone develops in the mature stage of the storm, which is characteristic of a supercell. However, the lack of a “vault” structure on the precipitation field, the relatively fast evolution of the cells, and other characteristics detailed henceforth seem to indicate that this storm only shares a few of the typical characteristics of supercells. Some morphological and thermodynamic similarities are found between this storm and recent numerical simulations of shallow supercell storms. While the first cell starts dissipating, a cold downward rear inflow is developing, which resembles the “rear-flank” downdraft documented in several numerical and observational studies of tornadic storms. This downdraft acts to intensify the updraft associated with the second cell and produces a precipitation overhang within which hail eventually forms. When this pocket of hail falls to the ground a bit later, it accelerates the low-level rear inflow that progressively cuts off the inflow ahead of the storm, leading to the progressive dissipation of the second cell. The physical processes involved in the evolution of rotation at low levels to midlevels within this storm are evaluated using the vorticity equation. It is shown that the time tendency of the positive and negative vertical vorticity anomalies associated with the two cells are mainly driven by tilting of horizontal vorticity. Strong negative vertical vorticity associated with the intensification of the rear-flank downdraft in the later stage of the storm is also produced by tilting, which is consistent with previous studies of tornadic storms.

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)0.000
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 score0.147
Threshold uncertainty score0.497

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.028
GPT teacher head0.235
Teacher spread0.207 · 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

Citations9
Published2001
Admission routes2
Has abstractyes

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