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Effects of Anthropogenic and Natural Forcings on the Summer Temperature Variations in East Asia during the 20th Century

Authors :
Jinwon Kim
Young-Hwa Byun
Seong Soo Yum
Sungbo Shim
Hannah Lee
Kyung On Boo
Source :
Atmosphere, Volume 10, Issue 11, Atmosphere, Vol 10, Iss 11, p 690 (2019)
Publication Year :
2019
Publisher :
Multidisciplinary Digital Publishing Institute, 2019.

Abstract

The effects of the emissions of anthropogenic greenhouse gases (GHGs), aerosols, and natural forcing on the summer-mean surface air temperature (TAS) in the East Asia (EA) land surface in the 20th century are analyzed using six-member coupled model inter-comparison project 5 (CMIP5) general circulation model (GCM) ensembles from five single-forcing simulations. The simulation with the observed GHG concentrations and aerosol emissions reproduces well the land-mean EA TAS trend characterized by warming periods in the early (1911&ndash<br />1940<br />P1) and late (1971&ndash<br />2000<br />P3) 20th century separated by a cooling period (1941&ndash<br />1970<br />P2). The warming in P1 is mainly due to the natural variability related to GHG increases and the long-term recovery from volcanic activities in late-19th/early-20th century. The cooling in P2 occurs as the combined cooling by anthropogenic aerosols and increased volcanic eruptions in the 1960s exceeds the warming by the GHG increases and the nonlinear interaction term. In P3, the combined warming by GHGs and the interaction term exceeds the cooling by anthropogenic aerosols to result in the warming. The SW forcing is not driving the TAS increase in P1/P3 as the shortwave (SW) forcing is heavily affected by the increased cloudiness and the longwave (LW) forcing dominates the SW forcing. The LW forcing to TAS cannot be separated from the LW response to TAS, preventing further analyses. The interaction among these forcing affects TAS via largely modifying the atmospheric water cycle, especially in P2 and P3. Key forcing terms on TAS such as the temperature advection related to large-scale circulation changes cannot be analyzed due to the lack of model data.

Details

Language :
English
ISSN :
20734433
Database :
OpenAIRE
Journal :
Atmosphere
Accession number :
edsair.doi.dedup.....c4bac773736efe019685e86979e8875a
Full Text :
https://doi.org/10.3390/atmos10110690