GSTDTAP  > 气候变化
DOI10.1029/2019JD030756
Systematic Bias in the Prediction of Warm-Rain Hydrometeors in the WDM6 Microphysics Scheme and Modifications
Lei, Hengchi1,2,3; Guo, Jiaxu1,2; Chen, Di4; Yang, Jiefan1
2020-02-27
发表期刊JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
ISSN2169-897X
EISSN2169-8996
出版年2020
卷号125期号:4
文章类型Article
语种英语
国家Peoples R China
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.


领域气候变化
收录类别SCI-E
WOS记录号WOS:000519227000006
WOS关键词CLOUD CONDENSATION NUCLEI ; PART II ; BULK PARAMETERIZATION ; PRECIPITATION ; SIMULATION ; MODEL ; MESOSCALE ; SENSITIVITY ; FORECASTS ; AEROSOLS
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/280072
专题气候变化
作者单位1.Chinese Acad Sci, Inst Atmospher Phys, Key Lab Cloud Precipitat Phys & Severe Storms, Beijing, Peoples R China;
2.Univ Chinese Acad Sci, Coll Earth & Planetary Sci, Beijing, Peoples R China;
3.Nanjing Univ Informat Sci & Technol, Collaborat Innovat Ctr Forecast & Evaluat Meteoro, Nanjing, Peoples R China;
4.Civil Aviat Adm China, Aviat Meteorol Ctr, Air Traff Management Bur, Beijing, Peoples R China
推荐引用方式
GB/T 7714
Lei, Hengchi,Guo, Jiaxu,Chen, Di,et al. Systematic Bias in the Prediction of Warm-Rain Hydrometeors in the WDM6 Microphysics Scheme and Modifications[J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,2020,125(4).
APA Lei, Hengchi,Guo, Jiaxu,Chen, Di,&Yang, Jiefan.(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, Hengchi,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).
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