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Open AccessArticle
Global Land Monsoon Area Response to Natural Forcing Drivers over the Last Millennium in a Community Earth System Model Ensemble
by
Sizheng Gao
Sizheng Gao 1,2,3,
Zhiyuan Wang
Zhiyuan Wang 1,2,3,*
and
Jia Jia
Jia Jia 1,2,3
1
Zhejiang Key Laboratory of Digital Intelligence Monitoring and Restoration of Watershed Environment, Zhejiang Normal University, Jinhua 321004, China
2
China-Mozambique “Belt and Road” Joint Laboratory on Smart Agriculture, Zhejiang Normal University, Jinhua 321004, China
3
College of Geography and Environmental Sciences, Zhejiang Normal University, Jinhua321004, China
*
Author to whom correspondence should be addressed.
Atmosphere 2025, 16(8), 952; https://doi.org/10.3390/atmos16080952 (registering DOI)
Submission received: 27 June 2025
/
Revised: 27 July 2025
/
Accepted: 7 August 2025
/
Published: 9 August 2025
Abstract
The spatial extent of the global land monsoon (GLM), known as the global land monsoon area, is a fundamental climate characteristic with significant socio-ecological implications. While the influence of natural external forcing on GLM intensity during the last millennium (950–1850) is becoming increasingly understood, the responses of the GLM area remain less explored. This study investigates the forced interdecadal variability in the GLM area using the Community Earth System Model Ensemble, focusing on two key drivers: global mean surface temperature (GMST) changes and variations in the tropical Pacific temperature gradient (TPTG). Our analysis reveals that these drivers explain approximately 33% of forced GLM area variance. Global cooling (Cool-GMST) and weakened Pacific gradients (Weak-TPTG) induce significant area contractions of −0.37% and −0.74%, respectively. Most notably, the response to compound forcing is highly non-linear. Concurrent episodes of strong cooling and Weak-TPTG induce a substantially amplified GLM area reduction of −1.37%, far exceeding the linear sum of the individual driver effects. This non-linear amplification, driven by synergistic decreases in both APR and SPF, challenges the conventional assumptions used to model and attribute monsoon boundary changes. This discovery of a non-linear threshold-dependent behavior in the monsoon’s spatial extent, which contrasts with the more linear response of monsoon intensity, is a key finding of our study. This distinction is critical for interpreting paleoclimate records, and serves as a strong indication that future climate projections must account for such non-linearities to avoid underestimating the risk of abrupt monsoon boundary shifts under combined natural and anthropogenic stressors.
Share and Cite
MDPI and ACS Style
Gao, S.; Wang, Z.; Jia, J.
Global Land Monsoon Area Response to Natural Forcing Drivers over the Last Millennium in a Community Earth System Model Ensemble. Atmosphere 2025, 16, 952.
https://doi.org/10.3390/atmos16080952
AMA Style
Gao S, Wang Z, Jia J.
Global Land Monsoon Area Response to Natural Forcing Drivers over the Last Millennium in a Community Earth System Model Ensemble. Atmosphere. 2025; 16(8):952.
https://doi.org/10.3390/atmos16080952
Chicago/Turabian Style
Gao, Sizheng, Zhiyuan Wang, and Jia Jia.
2025. "Global Land Monsoon Area Response to Natural Forcing Drivers over the Last Millennium in a Community Earth System Model Ensemble" Atmosphere 16, no. 8: 952.
https://doi.org/10.3390/atmos16080952
APA Style
Gao, S., Wang, Z., & Jia, J.
(2025). Global Land Monsoon Area Response to Natural Forcing Drivers over the Last Millennium in a Community Earth System Model Ensemble. Atmosphere, 16(8), 952.
https://doi.org/10.3390/atmos16080952
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