From mild to extreme heatwaves: Examining trends in North America

Extreme heat is associated with negative consequences. Previous research has shown an increase in the frequency and intensity of extreme heat in the 20 th and early 21 st centuries in most of North America. Similar trends are expected in the next decades. These increases are primarily driven by a shift of the temperature distribution towards warmer temperatures. Despite this rich literature, few studies have considered how past trends of milder heatwaves may differ from those of more extreme heatwaves. Here we quantify recent intensity and duration trends of North American heatwaves according to their severity, a novel metric which measures the intensity of a heatwave relative to other local contemporaneous heatwaves. We measure heatwave intensity using three different metrics (cumulative, average and maximum). These metrics are based on the anomaly of the daily maximum temperature relative to the local non-stationary 90 th percentile. Heatwaves are then categorized as either mild, moderate or extreme in their severity. Our findings indicate that heatwave temperatures have been increasing in most of North America between 1940 and 2019 for every season. However, heatwave temperature anomalies have remained stable over this same period. Additionally, higher heatwave severity is linked to less noisy intensity trends. This cannot be explained solely by changes in the mean of the temperature distribution over time. Our results have important implications for the current estimation of heatwave intensity trends and suggest that the impact of their severity should be considered.

Authors

Institutions

Publication Details

Journal
Weather and Climate Extremes
Published
2025-11-16
DOI
https://doi.org/10.1016/j.wace.2025.100831
Citations
1
Primary Topic
Climate variability and models
Type
article
Field-Weighted Citation Impact
1.11
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

From mild to extreme heatwaves: Examining trends in North America

Alejandro Di Luca, Megan C. Kirchmeier‐Young, Élise Comeau
1 citations
Weather and Climate Extremes
Climate variability and models
1.11
article

From mild to extreme heatwaves: Examining trends in North America

Alejandro Di Luca, Megan C. Kirchmeier‐Young, Élise Comeau
article en
1 citations

Abstract

Extreme heat is associated with negative consequences. Previous research has shown an increase in the frequency and intensity of extreme heat in the 20 th and early 21 st centuries in most of North America. Similar trends are expected in the next decades. These increases are primarily driven by a shift of the temperature distribution towards warmer temperatures. Despite this rich literature, few studies have considered how past trends of milder heatwaves may differ from those of more extreme heatwaves. Here we quantify recent intensity and duration trends of North American heatwaves according to their severity, a novel metric which measures the intensity of a heatwave relative to other local contemporaneous heatwaves. We measure heatwave intensity using three different metrics (cumulative, average and maximum). These metrics are based on the anomaly of the daily maximum temperature relative to the local non-stationary 90 th percentile. Heatwaves are then categorized as either mild, moderate or extreme in their severity. Our findings indicate that heatwave temperatures have been increasing in most of North America between 1940 and 2019 for every season. However, heatwave temperature anomalies have remained stable over this same period. Additionally, higher heatwave severity is linked to less noisy intensity trends. This cannot be explained solely by changes in the mean of the temperature distribution over time. Our results have important implications for the current estimation of heatwave intensity trends and suggest that the impact of their severity should be considered.

Weather and Climate ExtremesVol. 51
Environment and Climate Change Canada (CA), Université du Québec à Montréal (CA)
Openalex Percentile: Top 18%
Climate variability and models
1.11
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.