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DOI | 10.1175/JCLI-D-18-0789.1 |
The Key Role of Warm Rain Parameterization in Determining the Aerosol Indirect Effect in a Global Climate Model | |
Jing, Xianwen1; Suzuki, Kentaroh1; Michibata, Takuro2 | |
2019-07-01 | |
发表期刊 | JOURNAL OF CLIMATE
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ISSN | 0894-8755 |
EISSN | 1520-0442 |
出版年 | 2019 |
卷号 | 32期号:14页码:4409-4430 |
文章类型 | Article |
语种 | 英语 |
国家 | Japan |
英文摘要 | Global climate models (GCMs) have been found to share the common too-frequent bias in the warm rain formation process. In this study, five different autoconversion schemes are incorporated into a single GCM, to systematically evaluate the warm rain formation processes in comparison with satellite observations and investigate their effects on the aerosol indirect effect (AIE). It is found that some schemes generate warm rain less efficiently under polluted conditions in the manner closer to satellite observations, while the others generate warm rain too frequently. Large differences in AIE are found among these schemes. It is remarkable that the schemes with more observation-like warm rain formation processes exhibit larger AIEs that far exceed the uncertainty range reported in IPCC AR5, to an extent that can cancel much of the warming trend in the past century, whereas schemes with too-frequent rain formations yield AIEs that are well bounded by the reported range. The power-law dependence of the autoconversion rate on the cloud droplet number concentration beta is found to affect substantially the susceptibility of rain formation to aerosols: the more negative beta is, the more difficult it is for rain to be triggered in polluted clouds, leading to larger AIE through substantial contributions from the wet scavenging feedback. The appropriate use of a droplet size threshold can mitigate the effect of a less negative beta. The role of the warm rain formation process on AIE in this particular model has broad implications for others that share the too-frequent rain-formation bias. |
英文关键词 | Atmosphere Precipitation Cloud microphysics Climate models Aerosol indirect effect Aerosol-cloud interaction |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000472652400003 |
WOS关键词 | STRATOCUMULUS CLOUDS ; PRECIPITATION ; SATELLITE ; SIMULATION ; CONSTRAINTS ; MODIS ; SUSCEPTIBILITY ; REPRESENTATION ; VARIABILITY ; ACTIVATION |
WOS类目 | Meteorology & Atmospheric Sciences |
WOS研究方向 | Meteorology & Atmospheric Sciences |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/184722 |
专题 | 气候变化 |
作者单位 | 1.Univ Tokyo, Atmosphere & Ocean Res Inst, Kashiwa, Chiba, Japan; 2.Kyushu Univ, Res Inst Appl Mech, Fukuoka, Fukuoka, Japan |
推荐引用方式 GB/T 7714 | Jing, Xianwen,Suzuki, Kentaroh,Michibata, Takuro. The Key Role of Warm Rain Parameterization in Determining the Aerosol Indirect Effect in a Global Climate Model[J]. JOURNAL OF CLIMATE,2019,32(14):4409-4430. |
APA | Jing, Xianwen,Suzuki, Kentaroh,&Michibata, Takuro.(2019).The Key Role of Warm Rain Parameterization in Determining the Aerosol Indirect Effect in a Global Climate Model.JOURNAL OF CLIMATE,32(14),4409-4430. |
MLA | Jing, Xianwen,et al."The Key Role of Warm Rain Parameterization in Determining the Aerosol Indirect Effect in a Global Climate Model".JOURNAL OF CLIMATE 32.14(2019):4409-4430. |
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