气候变化领域集成服务门户(CCPortal): Employing airborne radiation and cloud microphysics observations to improve cloud representation in ICON at kilometer-scale resolution in the Arctic

CCPortal

DOI	10.5194/acp-20-13145-2020
	Employing airborne radiation and cloud microphysics observations to improve cloud representation in ICON at kilometer-scale resolution in the Arctic
	Kretzschmar J.; Stapf J.; Klocke D.; Wendisch M.; Quaas J.
发表日期	2020
ISSN	16807316
起始页码	13145
结束页码	13165
卷号	20 期号:21
英文摘要	Clouds play a potentially important role in Arctic climate change but are poorly represented in current atmospheric models across scales. To improve the representation of Arctic clouds in models, it is necessary to compare models to observations to consequently reduce this uncertainty. This study compares aircraft observations from the Arctic CLoud Observations Using airborne measurements during polar Day (ACLOUD) campaign around Svalbard, Norway, in May- June 2017 and simulations using the ICON (ICOsahedral Non-hydrostatic) model in its numerical weather prediction (NWP) setup at 1.2 km horizontal resolution. By comparing measurements of solar and terrestrial irradiances during ACLOUD flights to the respective properties in ICON, we showed that the model systematically overestimates the transmissivity of the mostly liquid clouds during the campaign. This model bias is traced back to the way cloud condensation nuclei (CCN) get activated into cloud droplets in the two-moment bulk microphysical scheme used in this study. This process is parameterized as a function of gridscale vertical velocity in the microphysical scheme used, but in-cloud turbulence cannot be sufficiently resolved at 1.2 km horizontal resolution in Arctic clouds. By parameterizing subgrid-scale vertical motion as a function of turbulent kinetic energy, we are able to achieve a more realistic CCN activation into cloud droplets. Additionally, we showed that by scaling the presently used CCN activation profile, the hydrometeor number concentration could be modified to be in better agreement with ACLOUD observations in our revised CCN activation parameterization. This consequently results in an improved representation of cloud optical properties in our ICON simulations. © Author(s) 2020.
语种	英语
scopus关键词	atmospheric modeling; cloud condensation nucleus; cloud droplet; cloud microphysics; irradiance; kinetic energy; optical property; Arctic; Norway; Svalbard; Svalbard and Jan Mayen
来源期刊	Atmospheric Chemistry and Physics
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/143832
作者单位	Institute for Meteorology, Universität Leipzig, Leipzig, Germany; Deutscher Wetterdienst, Offenbach, Germany; Hans-Ertel-Zentrum für Wetterforschung, Offenbach, Germany
推荐引用方式 GB/T 7714	Kretzschmar J.,Stapf J.,Klocke D.,et al. Employing airborne radiation and cloud microphysics observations to improve cloud representation in ICON at kilometer-scale resolution in the Arctic[J],2020,20(21).
APA	Kretzschmar J.,Stapf J.,Klocke D.,Wendisch M.,&Quaas J..(2020).Employing airborne radiation and cloud microphysics observations to improve cloud representation in ICON at kilometer-scale resolution in the Arctic.Atmospheric Chemistry and Physics,20(21).
MLA	Kretzschmar J.,et al."Employing airborne radiation and cloud microphysics observations to improve cloud representation in ICON at kilometer-scale resolution in the Arctic".Atmospheric Chemistry and Physics 20.21(2020).