Impacts of Subseasonal Silk Road Pattern on Extreme Heat Events in Eurasia

Abstract As a teleconnection wave train that simultaneously possesses multi‐time‐scale characteristics within decadal, interannual, and seasonal periods, the Silk Road Pattern (SRP) has become a key link connecting climate anomalies and extreme events in Eurasia. Previous studies have analyzed the regulating effect of SRP on interannual and decadal time scales on the average state of heat events while this study mainly focuses on the subseasonal SRP and its significant impact on the occurrence and development process of single extreme heat event in Eurasia. The subseasonal SRP has a quasi‐biweekly oscillation characteristic and the occurrence and development mainly rely on the baroclinic energy to extract the effective potential energy from the average westerly jet. SRP can explain ∼40% of the 2 m temperature (T2m) spatial pattern, which is constituted by the adiabatic heating effect of the subsidence and the horizontal advection of abnormal temperature. When considering the synergistic effects of SRP and British Baikal Corridor Pattern (BBC), the latitude range of the T2m anomalies has expanded, and ∼70% of the T2m tripole anomaly pattern could be explained. This study points out that SRP is the main factor influencing the positive T2m anomalies in Eastern Europe and the Mongolian Plateau, while BBC mainly regulates the negative T2m anomaly in west Siberia, and the combined effect of SRP and BBC maintains the tripole T2m anomaly in Eurasia. This study thoroughly analyzed the regulatory role of subseasonal teleconnection wave on heat events in Eurasia, providing a new dynamic perspective for improving the predictability of extreme heat events.

Authors

Institutions

Publication Details

Journal
Journal of Geophysical Research Atmospheres
Published
2025-11-28
DOI
https://doi.org/10.1029/2025jd044508
Primary Topic
Climate variability and models
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Impacts of Subseasonal Silk Road Pattern on Extreme Heat Events in Eurasia

Hongyu Luo, Yu Chen, Haipeng Yu, Ruoke Meng et al.
Journal of Geophysical Research Atmospheres
Climate variability and models
article

Impacts of Subseasonal Silk Road Pattern on Extreme Heat Events in Eurasia

Hongyu Luo, Yu Chen, Haipeng Yu, Ruoke Meng, Yunsai Zhu, Jie Zhou, Siyu Chen
article en

Abstract

Abstract As a teleconnection wave train that simultaneously possesses multi‐time‐scale characteristics within decadal, interannual, and seasonal periods, the Silk Road Pattern (SRP) has become a key link connecting climate anomalies and extreme events in Eurasia. Previous studies have analyzed the regulating effect of SRP on interannual and decadal time scales on the average state of heat events while this study mainly focuses on the subseasonal SRP and its significant impact on the occurrence and development process of single extreme heat event in Eurasia. The subseasonal SRP has a quasi‐biweekly oscillation characteristic and the occurrence and development mainly rely on the baroclinic energy to extract the effective potential energy from the average westerly jet. SRP can explain ∼40% of the 2 m temperature (T2m) spatial pattern, which is constituted by the adiabatic heating effect of the subsidence and the horizontal advection of abnormal temperature. When considering the synergistic effects of SRP and British Baikal Corridor Pattern (BBC), the latitude range of the T2m anomalies has expanded, and ∼70% of the T2m tripole anomaly pattern could be explained. This study points out that SRP is the main factor influencing the positive T2m anomalies in Eastern Europe and the Mongolian Plateau, while BBC mainly regulates the negative T2m anomaly in west Siberia, and the combined effect of SRP and BBC maintains the tripole T2m anomaly in Eurasia. This study thoroughly analyzed the regulatory role of subseasonal teleconnection wave on heat events in Eurasia, providing a new dynamic perspective for improving the predictability of extreme heat events.

Journal of Geophysical Research AtmospheresVol. 130(23)
Royal Meteorological Institute of Belgium (BE), Chinese Academy of Sciences (CN), Ghent University Hospital (BE), Northwest Institute of Eco-Environment and Resources (CN), Tibet Autonomous Region People's Hospital (CN), University of Chinese Academy of Sciences (CN), Lanzhou University (CN)
Openalex Percentile: Top 65%
Climate variability and models
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.