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DOI10.1175/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
ISSN0022-4928
EISSN1520-0469
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
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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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