气候变化领域集成服务门户(CCPortal): Systematic Bias in the Prediction of Warm-Rain Hydrometeors in the WDM6 Microphysics Scheme and Modifications

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DOI	10.1029/2019JD030756
	Systematic Bias in the Prediction of Warm-Rain Hydrometeors in the WDM6 Microphysics Scheme and Modifications
	Lei H.; Guo J.; Chen D.; Yang J.
发表日期	2020
ISSN	2169897X
卷号	125 期号:4
英文摘要	Modifications are made to the calculation of warm-rain hydrometeor number concentrations of the Weather Research and Forecasting double-moment six-class (WDM6) microphysics scheme. These modifications are related with cloud condensation nuclei activation, cloud droplet evaporation, and snow and graupel melting. The effects of the modifications are tested in a North China heavy rain event (Case01) as well as a short-duration rain event in Hebei Province of China (Case02). The results show that the WDM6 scheme underestimates the cloud mixing ratios (Qc) and number concentrations (Nc), while it overestimates the rain mixing ratios (Qr) and number concentrations (Nr). Meanwhile, the WDM6 scheme overestimates the mass mean diameter of cloud droplets (Dmc) and underestimates that of raindrops (Dmr). Through microphysical budget analysis, it is found that the inappropriate calculations of cloud condensation nuclei activation and cloud evaporation are responsible for the underestimation of Nc and larger Dmc. The overestimation of the autoconversion rate resulting from larger Dmc plays a decisive role in the overestimation of Qr and Nr, as well as in the underestimation of Qc. The overestimation of raindrops produced by the melting of snow and graupel is another reason for higher Qr and Nr. By comparing with the airborne observations in Case02, it is found that the Nc and Dmc simulation are notably improved with the direct modifications of Nc. The Nr simulation is closer to the observation after the melting of snow and graupel are modified. © 2020. The Authors.
英文关键词	warm-rain hydrometeor; WDM6 microphysics scheme; WRF
语种	英语
来源期刊	Journal of Geophysical Research: Atmospheres
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/186174
作者单位	Key Laboratory of Cloud-Precipitation Physics and Severe Storms, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China; College of Earth and Planetary Sciences,University of Chinese Academy of Sciences, Beijing, China; Collaborative Innovation Center on the Forecast and Evaluation of Meteorological Disasters, Nanjing University of Information Science and Technology, Nanjing, China; Aviation Meteorological Center, Air Traffic Management Bureau, Civil Aviation Administration of China, Beijing, China
推荐引用方式 GB/T 7714	Lei H.,Guo J.,Chen D.,et al. Systematic Bias in the Prediction of Warm-Rain Hydrometeors in the WDM6 Microphysics Scheme and Modifications[J],2020,125(4).
APA	Lei H.,Guo J.,Chen D.,&Yang J..(2020).Systematic Bias in the Prediction of Warm-Rain Hydrometeors in the WDM6 Microphysics Scheme and Modifications.Journal of Geophysical Research: Atmospheres,125(4).
MLA	Lei H.,et al."Systematic Bias in the Prediction of Warm-Rain Hydrometeors in the WDM6 Microphysics Scheme and Modifications".Journal of Geophysical Research: Atmospheres 125.4(2020).