Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1175/JCLI-D-18-0027.1 |
Improving the Simulation of Tropical Convective Cloud-Top Heights in CAM5 with CloudSat Observations | |
Wang, Mingcheng1,2; Zhang, Guang J.3,4 | |
2018-07-01 | |
发表期刊 | JOURNAL OF CLIMATE |
ISSN | 0894-8755 |
EISSN | 1520-0442 |
出版年 | 2018 |
卷号 | 31期号:13页码:5189-5204 |
文章类型 | Article |
语种 | 英语 |
国家 | Peoples R China; USA |
英文摘要 | Using 4 years of CloudSat data, the simulation of tropical convective cloud-top heights (CCTH) above 6 km simulated by the convection scheme in the Community Atmosphere Model, version 5 (CAM5), is evaluated. Compared to CloudSat observations, CAM5 underestimates CCTH by more than 2 km on average. Further analysis of model results suggests that the dilute CAPE calculation, which has been incorporated into the convective parameterization since CAM4, is a main factor restricting CCTH to much lower levels. After removing this restriction, more convective clouds develop into higher altitudes, although convective clouds with tops above 12 km are still underestimated significantly. The environmental conditions under which convection develops in CAM5 are compared with CloudSat observations for convection with similar CCTHs. It is shown that the model atmosphere is much more unstable compared to CloudSat observations, and there is too much entrainment in CAM5. Since CCTHs are closely associated with cloud radiative forcing, the impacts of CCTH on model simulation are further investigated. Results show that the change of CCTH has important impacts on cloud radiative forcing and precipitation. With increased CCTHs, there is more cloud radiative forcing in tropical Africa and the eastern Pacific, but less cloud radiative forcing in the western Pacific. The contribution to total convective precipitation from convection with cloud tops above 9 km is also increased substantially. |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000437827700013 |
WOS关键词 | COMMUNITY ATMOSPHERE MODEL ; GENERAL-CIRCULATION MODELS ; STOCHASTIC MIXING MODEL ; SATELLITE-OBSERVATIONS ; DEEP CONVECTION ; CUMULUS PARAMETERIZATION ; CLIMATE SIMULATIONS ; PART I ; IMPACT ; SCHEME |
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/19585 |
专题 | 气候变化 |
作者单位 | 1.Tsinghua Univ, Dept Earth Syst Sci, Minist Educ, Key Lab Earth Syst Modeling, Beijing, Peoples R China; 2.Joint Ctr Global Change Studies, Beijing, Peoples R China; 3.Scripps Inst Oceanog, La Jolla, CA 92037 USA; 4.Tsinghua Univ, Dept Earth Syst Sci, Beijing, Peoples R China |
推荐引用方式 GB/T 7714 | Wang, Mingcheng,Zhang, Guang J.. Improving the Simulation of Tropical Convective Cloud-Top Heights in CAM5 with CloudSat Observations[J]. JOURNAL OF CLIMATE,2018,31(13):5189-5204. |
APA | Wang, Mingcheng,&Zhang, Guang J..(2018).Improving the Simulation of Tropical Convective Cloud-Top Heights in CAM5 with CloudSat Observations.JOURNAL OF CLIMATE,31(13),5189-5204. |
MLA | Wang, Mingcheng,et al."Improving the Simulation of Tropical Convective Cloud-Top Heights in CAM5 with CloudSat Observations".JOURNAL OF CLIMATE 31.13(2018):5189-5204. |
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