Abstract
Climate variation of global monsoon (GM) precipitation involves both internal feedback and external forcing. Here, we focus on strong volcanic forcing since large eruptions are known to be a dominant mechanism in natural climate change. It is not known whether large volcanoes erupted at different latitudes have distinctive effects on the monsoon in the Northern Hemisphere (NH) and the Southern Hemisphere (SH). We address this issue using a 1500-year volcanic sensitivity simulation by the Community Earth System Model version 1.0 (CESM1). Volcanoes are classified into three types based on their meridional aerosol distributions: NH volcanoes, SH volcanoes and equatorial volcanoes. Using the model simulation, we discover that the GM precipitation in one hemisphere is enhanced significantly by the remote volcanic forcing occurring in the other hemisphere. This remote volcanic forcing-induced intensification is mainly through circulation change rather than moisture content change. In addition, the NH volcanic eruptions are more efficient in reducing the NH monsoon precipitation than the equatorial ones, and so do the SH eruptions in weakening the SH monsoon, because the equatorial eruptions, despite reducing moisture content, have weaker effects in weakening the off-equatorial monsoon circulation than the subtropical-extratropical volcanoes do.
| Original language | English |
|---|---|
| Article number | 24331 |
| Journal | Scientific Reports |
| Volume | 6 |
| DOIs | |
| State | Published - Apr 11 2016 |
| Externally published | Yes |
Funding
We thank Dr. Qi Hu of University of Nebraska-Lincoln and Song Feng of University of Arkansas for providing the reconstructed precipitation in Asian continent. Comments and suggestions from two anonymous reviewers helped the clarity of this manuscript and are appreciated. This work was supported by the National Natural Science Foundation of China (41420104002), the China National 973 Project (2015CB453200), the Natural Science Foundation of Jiangsu (BK20150907) and Jiangsu Specially-Appointed Professor (R2015T13). B.W. acknowledges support from the National Science Foundation of the US (climate dynamics division Award No. AGS-1540783) and the Global Research Laboratory (GRL) Program of the National Research Foundation of Korea (Grant No. 2011-0021927). This paper is ESMC Contribution No. 097 .