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Record W7127221670

Do Unprecedented Weather Extremes Since Early 2022 Have an Association with the Hunga Tonga-Hunga Ha'apai Eruption?

2025· article· W7127221670 on OpenAlexaboutno aff
Ana M Trueba

Bibliographic record

VenueDigitalCommons (California Polytechnic State University) · 2025
Typearticle
Language
FieldEnvironmental Science
TopicClimate variability and models
Canadian institutionsnot available
Fundersnot available
KeywordsWater vaporGlobal warmingTeleconnectionClimate modelGreenhouse gasClimate changeSulfate aerosolStratosphereSea surface temperatureGreenhouse effect
DOInot available

Abstract

fetched live from OpenAlex

In 2023, global mean annual temperature unexpectedly increased 0.2°C above the previous record warmth observed in 2016, prompting concern for the trajectory of future warming. The most immediate culprit of this temperature rise was the development of a strong El Niño, but the particularly large magnitude warming that occurred remains poorly understood. Other potential factors include incremental background warming from greenhouse gas emissions, sharp declines in ship aerosol emissions over the North Pacific this past decade and subsequent radiative impact, and possible lag response to the January 2022 eruption of the submarine volcano Hunga Tonga-Hunga Ha’apai (Tonga). The latter event produced an “unprecedented” injection of water vapor into the stratosphere for the satellite era, leading some to postulate a link between the eruption and the unusual warmth in 2023. However, initial estimates of the direct radiative impact from the Tonga-sourced excess water vapor suggest small, if not negligible warming effect. Other studies emphasize possible dynamical responses that are not yet understood. This thesis utilizes global climate reanalysis and satellite water vapor observations to explore possible teleconnections between the January, 2022 Tonga eruption and observed climate and weather extremes in the ensuing years. Results from this analysis show a series of unusually large meteorological events with standardized anomalies ranging 3–6 standard deviations (σ) above or below a 30-year, 1991–2020 climate reference period. These pronounced extremes appear to be unique "fingerprints” of the post-eruption climate system response. Of particular note among many identified extremes: an Antarctic heat wave in March, 2022 that set a world record for highest temperature above historical climatology; development of a rare “triple-dip” La Niña throughout 2022 that was unusually strong; a record cold anomaly that spread across the Southern Hemisphere lower stratosphere from April through October of 2022 in association with the development of La Niña; a record warm wave and melt event across Greenland in September, 2022; and a record strong atmospheric blocking pattern over Western Canada in May, 2023 that preceded unusually weak winds over the North Atlantic in June, which in turn facilitated record high sea-surface temperatures across the basin in July. From these results, and considering the spread of Tonga-sourced stratospheric water vapor across both polar hemispheres by fall 2022, an hypothesis is developed to explain how the eruption may have facilitated the climate and weather extremes observed in both 2022 and 2023. First, the lower-stratosphere thermal anomaly associated with Tonga water vapor intensified atmospheric circulation over the Pacific and nudged sea surface temperatures toward La Niña, thereby producing the observed “triple-dip” event. The heat-trapping effect of the excess stratospheric water vapor was masked in 2022 because of the perpetuation of La Niña, but, as the Niña dissipated in early 2023, the additional stratospheric heating provided feedback to what became one of the strongest El Niños on record. These two factors – excess stratospheric water vapor and the strong El Niño – led to unusually weak worldwide atmospheric circulation, which in turn produced a greater likelihood of atmospheric blocking from which extreme weather was observed in 2023 and into 2024. This research was undertaken as part of the Systems Approach to Understanding and Navigating the New Arctic (SAUNNA) National Research Traineeship (NRT) program, and as such is relevant to the Arctic. Recent modeling studies have shown that vapor from the Tonga plume could have produced heatwaves in the Arctic in early 2022, and satellite-based estimates indicate that excess stratospheric water vapor reached the Arctic by mid 2022. This thesis also draws a potential teleconnection between a Tonga climate impact and record atmospheric circulation and heat anomalies across the North Atlantic Ocean and Greenland in fall 2022. A description of how this research interfaces with the SAUNNA NRT program is provided in Appendix B of this thesis.

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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 categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient 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 score0.716
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0010.002
Open science0.0020.001
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 head0.013
GPT teacher head0.222
Teacher spread0.208 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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