Winter snowpack loss increases warm-season compound hot-dry extremes

Ongoing warming intensifies snowpack extremes, posing significant hydroclimatic risks to socio-ecological systems. However, the relation between snowpack extremes and subsequent compound hydroclimatic extremes remains unclear. Here, we investigated the impact of snowpack extremes on warm-season compound hydroclimatic extremes in the Northern Hemisphere using multisource datasets from 1980 to 2022. We found widespread increases in deficient, short, and deficient-short snowpack extremes, triggering more compound hot-dry extremes within a month after snowpack disappearance (mean coincidence rate over 0.6, p < 0.05). The impact of compound snowpack extremes exceeded that of individual snowpack extremes in both areas (over 10%) and coincidence rates (over 0.2). Meanwhile, increased intensity, rather than frequency, of snowpack extremes drove mainly the occurrence of compound hydroclimatic extremes. Furthermore, background climate factors, followed by vegetation, topography, and soil, affected relations between snowpack and compound hydroclimatic extremes. These findings will deepen our understanding of the emerging consecutive extremes and improve their predictability. The Northern Hemisphere experiences a significant correlation between snowpack extremes and compound hydroclimatic extremes, with increased snowpack extremes triggering more hot-dry extremes, influenced by background climate, vegetation, topography, and soil, according to results from multisource remote sensing data analysis from 1980 to 2022.

Authors

Institutions

Publication Details

Journal
Communications Earth & Environment
Published
2024-10-07
DOI
https://doi.org/10.1038/s43247-024-01734-8
Citations
9
Primary Topic
Cryospheric studies and observations
Type
article
Field-Weighted Citation Impact
3.39

Funders

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

Winter snowpack loss increases warm-season compound hot-dry extremes

Pengfeng Xiao, Yongxiao Liang, Siyong Chen, Hao Liu et al.
9 citations
Communications Earth & Environment
Cryospheric studies and observations
3.39
article

Winter snowpack loss increases warm-season compound hot-dry extremes

Pengfeng Xiao, Yongxiao Liang, Siyong Chen, Hao Liu, Xueliang Zhang, Bo Tang, Yantao Liu
article en
9 citations

Abstract

Ongoing warming intensifies snowpack extremes, posing significant hydroclimatic risks to socio-ecological systems. However, the relation between snowpack extremes and subsequent compound hydroclimatic extremes remains unclear. Here, we investigated the impact of snowpack extremes on warm-season compound hydroclimatic extremes in the Northern Hemisphere using multisource datasets from 1980 to 2022. We found widespread increases in deficient, short, and deficient-short snowpack extremes, triggering more compound hot-dry extremes within a month after snowpack disappearance (mean coincidence rate over 0.6, p < 0.05). The impact of compound snowpack extremes exceeded that of individual snowpack extremes in both areas (over 10%) and coincidence rates (over 0.2). Meanwhile, increased intensity, rather than frequency, of snowpack extremes drove mainly the occurrence of compound hydroclimatic extremes. Furthermore, background climate factors, followed by vegetation, topography, and soil, affected relations between snowpack and compound hydroclimatic extremes. These findings will deepen our understanding of the emerging consecutive extremes and improve their predictability. The Northern Hemisphere experiences a significant correlation between snowpack extremes and compound hydroclimatic extremes, with increased snowpack extremes triggering more hot-dry extremes, influenced by background climate, vegetation, topography, and soil, according to results from multisource remote sensing data analysis from 1980 to 2022.

Communications Earth & EnvironmentVol. 5(1)
Environment and Climate Change Canada (CA), Ministry of Natural Resources (CN), Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application (CN), Nanjing University (CN)
National Natural Science Foundation of China
Climate action
Openalex Percentile: Top 7%
Cryospheric studies and observations
3.39
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.