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Record W3217421959 · doi:10.1029/2021gl095898

Stratospheric Temperature and Ozone Anomalies Associated With the 2020 Australian New Year Fires

2021· article· en· W3217421959 on OpenAlexafffund
Landon Rieger, William J. Randel, Adam Bourassa, Susan Solomon

Bibliographic record

VenueGeophysical Research Letters · 2021
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicAtmospheric Ozone and Climate
Canadian institutionsUniversity of Saskatchewan
FundersGoddard Space Flight CenterNuclear Safety and Security CommissionNational Aeronautics and Space AdministrationCanadian Space AgencyNational Science Foundation
KeywordsPolar vortexStratosphereOzone depletionAtmospheric sciencesPolarSouthern HemisphereOzoneEnvironmental scienceAerosolNorthern HemisphereClimatologyMiddle latitudesBreakupGeologyMeteorologyPhysics

Abstract

fetched live from OpenAlex

Abstract Stratospheric aerosol, temperature, and ozone anomalies after the 2020 Australian bushfires are documented from satellite observations. Aerosol extinction is enhanced in the Southern Hemisphere (SH) lower stratosphere (LS) in early 2020, comparable in magnitude to the Calbuco eruption in 2015. Warm temperature anomalies of 1–2 K occur in the SH LS during January‐April 2020 and are coincident with enhanced aerosols. Radiative heating is indicated through anomalous temperature correlations between lower and higher latitudes. LS ozone shows midlatitude decreases several months after the aerosol maximum and before the polar vortex breakup, reaching extreme minima over the available OMPS record since 2011. Antarctic ozone depletion in the LS in 2020 reached a decadal low for both magnitude and persistence during November‐December, along with record low polar temperatures and a strong polar vortex. Overall, the polar ozone depletion, temperature, and polar vortex evolution broadly resembled the effects of the Calbuco eruption in 2015.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.623
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 communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.020
GPT teacher head0.254
Teacher spread0.234 · 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 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

Citations90
Published2021
Admission routes2
Has abstractyes

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