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Record W3159013448

Further Probing the Mechanisms Driving Regional Projections of Extreme Precipitation Intensity

2021· dissertation· en· W3159013448 on OpenAlexfundaboutno aff
Msawenkosi Aggripa Mpanza

Bibliographic record

VenueYork University Digital Library (York University) · 2021
Typedissertation
Languageen
FieldEnvironmental Science
TopicClimate variability and models
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of CanadaStony Brook UniversityEnvironment and Climate Change CanadaPeking University
KeywordsClimatologyAdvectionPrecipitationEnvironmental scienceSubtropicsAtmospheric sciencesExtreme value theoryAtmospheric instabilityIntensity (physics)MeteorologyGeographyGeologyWind speedPhysicsMathematics
DOInot available

Abstract

fetched live from OpenAlex

Regional projections of extreme precipitation intensity (EPI) are strongly influenced by regional projections of extreme ascent,. Earlier studies are suggesting that long-term changes in eddy length and vertical stability are key factors influencing extreme ascent projections. We performed controlled experiments using the System for Atmospheric Modeling (SAM). Domains we chosen in the subtropical South Atlantic, where the Canadian Earth System Model version 2 (CanESM2) projects weakening of extreme ascent. SAM was forced with large-scale temperature, moisture and winds from CanESM2 during extreme events in the historical (1981-2000) and future (2081-2100) periods. SAM qualitatively reproduced CanESM2s projected changes in EPI. To gain further insight into physical mechanisms, we performed isolation runs in which some of the CRMs large-scale forcings were changed to their future values, while keeping all other forcings fixed to historical values. In all cases, long-term changes in horizontal advection were the dominant driver of projected decreases in EPI.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.365
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.002
Open science0.0010.000
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 head0.022
GPT teacher head0.176
Teacher spread0.153 · 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 designNot applicable
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
Published2021
Admission routes2
Has abstractyes

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