气候变化领域集成服务门户(CCPortal): Using a-train observations to evaluate east pacific cloud occurrence and radiative effects in the community atmosphere model

CCPortal

DOI	10.1175/JCLI-D-19-0870.1
	Using a-train observations to evaluate east pacific cloud occurrence and radiative effects in the community atmosphere model
	Berry E.; Mace G.G.; Gettelman A.
发表日期	2020
ISSN	0894-8755
起始页码	6187
结束页码	6203
卷号	33 期号:14
英文摘要	Using information from the A-Train satellites, the properties and radiative effects of eastern Pacific Ocean boundary layer clouds are evaluated in the Community Atmosphere Model, version 5 (CAM5), from the summer of 2007 and 2008. The cloud microphysical properties are inferred using measurements from CloudSat and CALIPSO (CC) that are then used to calculate the broadband radiative flux profiles. Accounting appropriately for sampling differences between the measurements and the simulation, evidence of the ''too few, too bright'' low cloud bias is found in CAM5. Single-layer low clouds have a frequency of occurrence of 42% from CC, as compared with just 29% in CAM5, and the averaged cloud radiative kernel (CRK) for the model shows stronger cooling. For stratocumulus in particular, the cooling in the model CRK is larger by a factor of 2 relative to the observations, implying an overly sensitive tropical low cloud feedback. Differences in the day/night occurrence of stratocumulus help to explain some of the difference in the CRK. The cloud-type microphysics for liquid clouds is represented reasonably well by the model, with a tendency for smaller water paths and smaller effective radii. Overall, the occurrence and CRK have partially compensating errors such that the net cooling at the top of the atmosphere for eastern Pacific low clouds is 243 W m22 in CAM5, as compared with 232 W m22 from CC. The cooling effect in the model is accomplished by fewer low clouds with a narrower range of properties, as compared with more clouds with a broader range of properties in the observation-based dataset. © 2020 American Meteorological Society. For information regarding reuse of this content and general copyright information, consult the AMS Copyright Policy (www.ametsoc.org/PUBSReuseLicenses).
英文关键词	Boundary layers; Clouds; Cloud feedbacks; Cloud microphysical properties; Community atmosphere model; Compensating errors; Eastern pacific Ocean; Radiative effects; Radiative fluxes; Top of the atmospheres; Cooling; atmospheric modeling; cloud microphysics; cloud radiative forcing; cooling; satellite data; stratocumulus; Pacific Ocean; Pacific Ocean (East)
语种	英语
来源期刊	Journal of Climate
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/171212
作者单位	University of Utah, Salt Lake City, UT, United States; National Center for Atmospheric Research, Boulder, CO, United States
推荐引用方式 GB/T 7714	Berry E.,Mace G.G.,Gettelman A.. Using a-train observations to evaluate east pacific cloud occurrence and radiative effects in the community atmosphere model[J],2020,33(14).
APA	Berry E.,Mace G.G.,&Gettelman A..(2020).Using a-train observations to evaluate east pacific cloud occurrence and radiative effects in the community atmosphere model.Journal of Climate,33(14).
MLA	Berry E.,et al."Using a-train observations to evaluate east pacific cloud occurrence and radiative effects in the community atmosphere model".Journal of Climate 33.14(2020).