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DOI | 10.1175/JAS-D-17-0302.1 |
Explicit Prediction of Hail in a Long-Lasting Multicellular Convective System in Eastern China Using Multimoment Microphysics Schemes | |
Luo, Liping; Xue, Ming1; Zhu, Kefeng1; Zhou, Bowen | |
2018-09-01 | |
发表期刊 | JOURNAL OF THE ATMOSPHERIC SCIENCES
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ISSN | 0022-4928 |
EISSN | 1520-0469 |
出版年 | 2018 |
卷号 | 75期号:9页码:3115-3137 |
文章类型 | Article |
语种 | 英语 |
国家 | Peoples R China; USA |
英文摘要 | During the afternoon of 28 April 2015, a multicellular convective system swept southward through much of Jiangsu Province, China, over about 7 h, producing egg-sized hailstones on the ground. The hailstorm event is simulated using the Advanced Regional Prediction System (ARPS) at 1-km grid spacing. Different configurations of the Milbrandt-Yau microphysics scheme are used, predicting one, two, and three moments of the hydrometeor particle size distributions (PSDs). Simulated reflectivity and maximum estimated size of hail (MESH) derived from the simulations are verified against reflectivity observed by operational S-band Doppler radars and radar-derived MESH, respectively. Comparisons suggest that the general evolution of the hailstorm is better predicted by the three-moment scheme, and neighborhood-based MESH evaluation further confirms the advantage of the three-moment scheme in hail size prediction. Surface accumulated hail mass, number, and hail distribution characteristics within simulated storms are examined across sensitivity experiments. Results suggest that multimoment schemes produce more realistic hail distribution characteristics, with the three-moment scheme performing the best. Size sorting is found to play a significant role in determining hail distribution within the storms. Detailed microphysical budget analyses are conducted for each experiment, and results indicate that the differences in hail growth processes among the experiments can be mainly ascribed to the different treatments of the shape parameter within different microphysics schemes. Both the differences in size sorting and hail growth processes contribute to the simulated hail distribution differences within storms and at the surface. |
英文关键词 | Convective clouds Cutoff lows Radars Radar observations Cloud parameterizations Model evaluation performance Numerical weather prediction forecasting |
领域 | 地球科学 |
收录类别 | SCI-E |
WOS记录号 | WOS:000442202300002 |
WOS关键词 | NONHYDROSTATIC ATMOSPHERIC SIMULATION ; 2-MOMENT BULK MICROPHYSICS ; CONTIGUOUS UNITED-STATES ; PART I ; CLOUD MICROPHYSICS ; SQUALL LINE ; STRATIFORM PRECIPITATION ; PARAMETERIZATION ; VERIFICATION ; FORECASTS |
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/29305 |
专题 | 地球科学 |
作者单位 | 1.Nanjing Univ, Minist Educ, Key Lab Mesoscale Severe Weather, Nanjing, Jiangsu, Peoples R China; 2.Nanjing Univ, Sch Atmospher Sci, Nanjing, Jiangsu, Peoples R China; 3.Univ Oklahoma, Ctr Anal & Predict Storms, Norman, OK 73019 USA; 4.Univ Oklahoma, Sch Meteorol, Norman, OK 73019 USA |
推荐引用方式 GB/T 7714 | Luo, Liping,Xue, Ming,Zhu, Kefeng,et al. Explicit Prediction of Hail in a Long-Lasting Multicellular Convective System in Eastern China Using Multimoment Microphysics Schemes[J]. JOURNAL OF THE ATMOSPHERIC SCIENCES,2018,75(9):3115-3137. |
APA | Luo, Liping,Xue, Ming,Zhu, Kefeng,&Zhou, Bowen.(2018).Explicit Prediction of Hail in a Long-Lasting Multicellular Convective System in Eastern China Using Multimoment Microphysics Schemes.JOURNAL OF THE ATMOSPHERIC SCIENCES,75(9),3115-3137. |
MLA | Luo, Liping,et al."Explicit Prediction of Hail in a Long-Lasting Multicellular Convective System in Eastern China Using Multimoment Microphysics Schemes".JOURNAL OF THE ATMOSPHERIC SCIENCES 75.9(2018):3115-3137. |
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