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DOI	10.5194/acp-22-14095-2022
	Aerosol characteristics and polarimetric signatures for a deep convective storm over the northwestern part of Europe - modeling and observations
	Shrestha, Prabhakar; Mendrok, Jana; Brunner, Dominik
发表日期	2022
ISSN	1680-7316
EISSN	1680-7324
起始页码	14095
结束页码	14117
卷号	22 期号:21 页码:23
英文摘要	The Terrestrial Systems Modeling Platform (TSMP) was extended with a chemical transport model and polarimetric radar forward operator to enable detailed studies of aerosol-cloud-precipitation interactions. The model was used at kilometer-scale (convection-permitting) resolution to simulate a deep convective storm event over Germany which produced large hail, high precipitation, and severe damaging winds. The ensemble model simulation was, in general, able to capture the storm structure, its evolution, and the spatial pattern of accumulated precipitation. However, the model was found to underestimate regions of high accumulated precipitation (> 35 mm) and convective area fraction in the early period of the storm. While the model tends to simulate too high reflectivity in the downdraft region of the storm above the melting layer (mostly contributed by graupel), the model also simulates very weak polarimetric signatures in this region, when compared to the radar observations. The above findings remained almost unchanged when using a narrower cloud drop size distribution (CDSD) acknowledging the missing feedback between aerosol physical and chemical properties and CDSD shape parameters. The kilometer-scale simulation showed that the strong updraft in the convective core produces aerosol-tower-like features, increasing the aerosol number concentrations and hence increasing the cloud droplet number concentration and reducing the mean cloud drop size. This could also be a source of discrepancy between the simulated polarimetric features like differential reflectivity (Z(DR)) and specific differential-phase (K-DP) columns along the vicinity of the convective core compared to the X-band radar observations. However, the use of narrow CDSD did improve the simulation of Z(DR) columns. Besides, the evaluation of simulated trace gases and aerosols was encouraging; however, a low bias was observed for aerosol optical depth (AOD), which could be partly linked to an underestimation of dust mass in the forcing data associated with a Saharan dust event. This study illustrates the importance and the additional complexity associated with the inclusion of chemistry transport model when studying aerosol-cloud-precipitation interactions. But, along with polarimetric radar data for model evaluation, it allows us to identify and better constrain the traditional two-moment bulk cloud microphysical schemes used in the numerical weather prediction models for weather and climate.
学科领域	Environmental Sciences; Meteorology & Atmospheric Sciences
语种	英语
WOS研究方向	Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences
WOS记录号	WOS:000878231300001
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/273034
作者单位	University of Bonn; Swiss Federal Institutes of Technology Domain; Swiss Federal Laboratories for Materials Science & Technology (EMPA)
推荐引用方式 GB/T 7714	Shrestha, Prabhakar,Mendrok, Jana,Brunner, Dominik. Aerosol characteristics and polarimetric signatures for a deep convective storm over the northwestern part of Europe - modeling and observations[J],2022,22(21):23.
APA	Shrestha, Prabhakar,Mendrok, Jana,&Brunner, Dominik.(2022).Aerosol characteristics and polarimetric signatures for a deep convective storm over the northwestern part of Europe - modeling and observations.ATMOSPHERIC CHEMISTRY AND PHYSICS,22(21),23.
MLA	Shrestha, Prabhakar,et al."Aerosol characteristics and polarimetric signatures for a deep convective storm over the northwestern part of Europe - modeling and observations".ATMOSPHERIC CHEMISTRY AND PHYSICS 22.21(2022):23.