Spatially synchronized structures of global hydroclimatic extremes

Abstract Spatially synchronized hydroclimatic extremes—droughts, pluvials and drought–pluvial ‘seesaw’ dipoles—cause impacts far beyond where they occur. Adapting to these concurrent risks requires global-scale assessments that capture both remote and local dependencies, yet current approaches generally assume independence across locations, overlooking critical spatial dependencies that bias risk estimates. Moreover, most research treats droughts and pluvials in isolation, neglecting their antiphase co-occurrences. Here we develop a multilayer event-based complex climate network using a 67-year precipitation reanalysis dataset to analyse global synchronizations of hydroclimatic shocks across 0.66 trillion 0.25° pixel pairs. We find pronounced spatial asymmetries in teleconnected (>2,500 km) synchronizations, dominated by oceanic regions (90% of teleconnection links) and southern mid-latitudes. These spatial asymmetries are both event and hemisphere specific, revealed by our regional bundle analysis of 91 global breadbasket region pairs. Two-thirds of region pairs with significant drought or pluvial synchronization occur within the same hemisphere, while 40% of cross-hemisphere pairs exhibit seesaw synchronizations, affecting at least one-third of their areas. These findings highlight the need for integrated assessments of droughts and pluvials and their interconnections, as traditional agricultural trade practices relying on hemispheric diversification may face growing challenges in a warming, synchronized climate.

Authors

Institutions

Publication Details

Journal
Nature Water
Published
2025-10-28
DOI
https://doi.org/10.1038/s44221-025-00520-w
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

Spatially synchronized structures of global hydroclimatic extremes

Xiaogang He, Huimin Wang
1 citations
Nature Water
Climate variability and models
1.11
article

Spatially synchronized structures of global hydroclimatic extremes

Xiaogang He, Huimin Wang
article en
1 citations

Abstract

Abstract Spatially synchronized hydroclimatic extremes—droughts, pluvials and drought–pluvial ‘seesaw’ dipoles—cause impacts far beyond where they occur. Adapting to these concurrent risks requires global-scale assessments that capture both remote and local dependencies, yet current approaches generally assume independence across locations, overlooking critical spatial dependencies that bias risk estimates. Moreover, most research treats droughts and pluvials in isolation, neglecting their antiphase co-occurrences. Here we develop a multilayer event-based complex climate network using a 67-year precipitation reanalysis dataset to analyse global synchronizations of hydroclimatic shocks across 0.66 trillion 0.25° pixel pairs. We find pronounced spatial asymmetries in teleconnected (>2,500 km) synchronizations, dominated by oceanic regions (90% of teleconnection links) and southern mid-latitudes. These spatial asymmetries are both event and hemisphere specific, revealed by our regional bundle analysis of 91 global breadbasket region pairs. Two-thirds of region pairs with significant drought or pluvial synchronization occur within the same hemisphere, while 40% of cross-hemisphere pairs exhibit seesaw synchronizations, affecting at least one-third of their areas. These findings highlight the need for integrated assessments of droughts and pluvials and their interconnections, as traditional agricultural trade practices relying on hemispheric diversification may face growing challenges in a warming, synchronized climate.

Nature WaterVol. 3(12)
National University of Singapore (SG)
National Research Foundation, National Research Foundation Singapore
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.