Near-term heatwave risk in HighResMIP models across different temperature zones of West Africa

Abstract This study projects near-future (2031–2050) changes in heatwave (HW) risk across West Africa (WA) using an ensemble of eight high-resolution global climate models from the High-Resolution Model Intercomparison Project under a high-emission scenario. Using K-means clustering, we divided WA into four unique temperature zones and examined projected changes in extreme temperatures, HW occurrence and magnitude. Our results indicate a statistically significant increase in future HW events across most parts of WA, although considerable spread exists over the region and among individual models. The most pronounced increases are evident in the Sahel/Sahara and the Guinea Highlands subregions, with an ensemble mean increase of ∼10 HW events per year. In contrast, the lowest increase in HW events is projected in central WA, with increases ranging between 1 and 5 events per year. Similarly, the magnitude of HW events is projected to increase in most models, with Sahel/Sahara exhibiting the largest increases. Additionally, projections suggest that the strongest HWs will become more frequent, particularly in northern and southwestern WA. These findings highlight significant spatial heterogeneity in future HW risk across WA, emphasizing the need for targeted adaptation strategies.

Authors

Institutions

Publication Details

Journal
Environmental Research Climate
Published
2025-05-20
DOI
https://doi.org/10.1088/2752-5295/add31f
Citations
1
Primary Topic
Climate variability and models
Type
article
Field-Weighted Citation Impact
1.11

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Near-term heatwave risk in HighResMIP models across different temperature zones of West Africa

Leonard K. Amekudzi, Oluwafemi E. Adeyeri, Derrick Kwadwo Danso, Akintomide A. Akinsanola et al.
1 citations
Environmental Research Climate
Climate variability and models
1.11
article

Near-term heatwave risk in HighResMIP models across different temperature zones of West Africa

Leonard K. Amekudzi, Oluwafemi E. Adeyeri, Derrick Kwadwo Danso, Akintomide A. Akinsanola, Kwesi Twentwewa Quagraine
article en
1 citations

Abstract

Abstract This study projects near-future (2031–2050) changes in heatwave (HW) risk across West Africa (WA) using an ensemble of eight high-resolution global climate models from the High-Resolution Model Intercomparison Project under a high-emission scenario. Using K-means clustering, we divided WA into four unique temperature zones and examined projected changes in extreme temperatures, HW occurrence and magnitude. Our results indicate a statistically significant increase in future HW events across most parts of WA, although considerable spread exists over the region and among individual models. The most pronounced increases are evident in the Sahel/Sahara and the Guinea Highlands subregions, with an ensemble mean increase of ∼10 HW events per year. In contrast, the lowest increase in HW events is projected in central WA, with increases ranging between 1 and 5 events per year. Similarly, the magnitude of HW events is projected to increase in most models, with Sahel/Sahara exhibiting the largest increases. Additionally, projections suggest that the strongest HWs will become more frequent, particularly in northern and southwestern WA. These findings highlight significant spatial heterogeneity in future HW risk across WA, emphasizing the need for targeted adaptation strategies.

Environmental Research ClimateVol. 4(2)
Australian National University (AU), Argonne National Laboratory (US), Iowa State University (US), Kwame Nkrumah University of Science and Technology (GH), University of Illinois Chicago (US), University of Chicago (US), Indiana University Bloomington (US)
European Centre for Medium-Range Weather Forecasts
Openalex Percentile: Top 24%
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.