Likelihoods of compound dry-hot-windy events are projected to increase under global warming

Dry, hot, and windy conditions are meteorological factors that can affect vegetation variability. Moreover, the combination of them, as represented by concurrences of low relative humidity , high temperature, and high wind speed , can lead to even higher impacts on agricultural production or wildfires, which is still under-assessed. Here we investigate spatial pattern of and changes in the compound dry-hot-windy (DHW) events in historical periods (1951–2014) and future periods (2037–2100) across global areas (including crop regions and burned areas) based on the fifth generation ECMWF reanalysis (ERA5) and climate model simulations from Coupled Model Inter-comparison Project 6 (CMIP6). An increase in the likelihood (or frequency) of compound DHW events is observed in historical periods and can be even higher in the future across global land areas. Specifically, the projected frequency of compound DHW events in the future period under the SSP585 scenario is around 2.5 times the value in historical periods. Moreover, an increase in compound DHW events is also projected in ten main wheat exporters, in particular for Europe, Argentina, Turkey, and Brazil. Over global burned areas, the higher risk of compound DHW events during fire seasons is also projected in the future. Findings from this study can be useful for agricultural planning and natural resources management under a changing climate. • Higher frequency of compound DHW events mainly resides in regimes near the equator. • Future likelihoods of compound DHW events are projected to increase under the SSP585 scenario. • Increased risk of compound DHW events is projected in crop regions and burned areas.

Authors

Institutions

Publication Details

Journal
Atmospheric Research
Published
2025-04-05
DOI
https://doi.org/10.1016/j.atmosres.2025.108119
Citations
2
Primary Topic
Climate variability and models
Type
article
Field-Weighted Citation Impact
2.21

Funders

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

Likelihoods of compound dry-hot-windy events are projected to increase under global warming

Yuting Pang, Zengchao Hao, Yitong Zhang, Qian Ma
2 citations
Atmospheric Research
Climate variability and models
2.21
article

Likelihoods of compound dry-hot-windy events are projected to increase under global warming

Yuting Pang, Zengchao Hao, Yitong Zhang, Qian Ma
article en
2 citations

Abstract

Dry, hot, and windy conditions are meteorological factors that can affect vegetation variability. Moreover, the combination of them, as represented by concurrences of low relative humidity , high temperature, and high wind speed , can lead to even higher impacts on agricultural production or wildfires, which is still under-assessed. Here we investigate spatial pattern of and changes in the compound dry-hot-windy (DHW) events in historical periods (1951–2014) and future periods (2037–2100) across global areas (including crop regions and burned areas) based on the fifth generation ECMWF reanalysis (ERA5) and climate model simulations from Coupled Model Inter-comparison Project 6 (CMIP6). An increase in the likelihood (or frequency) of compound DHW events is observed in historical periods and can be even higher in the future across global land areas. Specifically, the projected frequency of compound DHW events in the future period under the SSP585 scenario is around 2.5 times the value in historical periods. Moreover, an increase in compound DHW events is also projected in ten main wheat exporters, in particular for Europe, Argentina, Turkey, and Brazil. Over global burned areas, the higher risk of compound DHW events during fire seasons is also projected in the future. Findings from this study can be useful for agricultural planning and natural resources management under a changing climate. • Higher frequency of compound DHW events mainly resides in regimes near the equator. • Future likelihoods of compound DHW events are projected to increase under the SSP585 scenario. • Increased risk of compound DHW events is projected in crop regions and burned areas.

Atmospheric ResearchVol. 322
Beijing Normal University (CN)
National Natural Science Foundation of China
Climate action
Openalex Percentile: Top 14%
Climate variability and models
2.21
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.