Extreme events
Clouds amplified the 2022 Antarctic heatwave
Open access · cc by · source: Europe PMC
Water-vapor and supercooled-cloud feedbacks added several degrees to the March 2022 East Antarctic heatwave compared with a preindustrial storyline.
Study at a glance
- Design
- Computational / modelling — 27 km CRYOWRF factual vs pseudo-global-warming storylines of the March 2022 heatwave
- N
- Storyline simulations driven by ERA5 and six CMIP6 deltas; not an observational sample N
- Population
- East Antarctic atmosphere/firn during 15–20 March 2022 under present and counterfactual climates
- Outcome
- Cloud/longwave amplification of heatwave temperature and future meltwater implications
Structured fields used in claim comparison tables when every cited study has a complete layer.
Key findings
Near Concordia the heatwave was amplified by 5.4 ± 0.2 °C versus preindustrial (15–25% of the anomaly). Current-climate peak temperature reached −12 °C (model −11.9 °C vs observed −11.6 °C). Incoming longwave radiation increased 16.0 ± 1.9 W m−2. Future coastal firn liquid water rises by factors of 2.4 (SSP2-4.5) and 5.6 (SSP5-8.5), up to 0.079 Gt of meltwater for this event under SSP5-8.5.
Methodology
The authors ran 27 km CRYOWRF storylines of 15–20 March 2022: a factual ERA5-driven case and counterfactuals for preindustrial, SSP2-4.5, and SSP5-8.5 climates using pseudo-global-warming deltas from six CMIP6 models, then diagnosed temperature, clouds, radiation, and firn hydrology.
Limitations
A single 27 km storyline of one event cannot sample all atmospheric-river trajectories. The model has a warm bias in the stable pre-event period and a too-high inversion. Cloud feedbacks remain a major CMIP6 uncertainty.
How this study connects
Role on claims
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This library holds 5 empirical papers on extreme events with measured outcomes rather than reviews.
Evidence for the claim as stated.
Water-vapor and supercooled-cloud feedbacks added several degrees to the March 2022 East Antarctic heatwave compared with a preindustrial storyline.
Evidence for the claim as stated.
A record event in one season does not by itself prove a shift in the full distribution.
Evidence for the claim as stated.
Open questions
Tensions this paper is part of
From concept pages' “where studies disagree.” Disagreement means the same question; scope means different assays, populations, or outcomes.
A record event in one season does not by itself prove a shift in the full distribution.
Related papers in this topic
Same topic cluster — not a recommendation engine.