DOI: 10.1016/j.atmosres.2019.02.001
Scopus记录号: 2-s2.0-85061216152
论文题名: Lightning data assimilation with comprehensively nudging water contents at cloud-resolving scale using WRF model
作者: Chen Z. ; Qie X. ; Liu D. ; Xiong Y.
刊名: Atmospheric Research
ISSN: 1698095
出版年: 2019
卷: 221 起始页码: 72
结束页码: 87
语种: 英语
英文关键词: Lightning data assimilation
; Quantitative precipitation forecasts
; Squall line
; Surface cold pool
; WRF
Scopus关键词: Lakes
; Lightning
; Lightning protection
; Precipitation (meteorology)
; Storms
; Cold pool
; Lightning datum
; Metropolitan regions
; Modeling environments
; Quantitative precipitation forecast
; Simulated storm structure
; Squall lines
; Thermodynamic conditions
; Weather forecasting
; cloud condensation nucleus
; cold pool
; data assimilation
; lightning
; precipitation assessment
; quantitative analysis
; water content
; weather forecasting
; Beijing [Beijing (ADS)]
; Beijing [China]
; China
英文摘要: A new lightning data assimilation (LDA) scheme comprehensively nudging water contents in the WRF model is developed at cloud-resolving scale, which takes the dynamical and thermodynamic conditions into consideration and nudges the low-level water vapor and graupel mass within the mixed-phase region according to the detected total lightning flash rate and model environments (here named C18). The main nudging functions of the LDA scheme in this work are modified based on the work of Fierro et al. (2012, hereafter F12) and Qie et al. (2014, hereafter Q14). To evaluate the application of LDA in high-impact weather simulations and quantitative precipitation forecasts, the three LDA schemes, including F12, Q14 and C18, are tested and compared for two severe squall line cases occurred over the Beijing metropolitan region (BMR). Benefiting from assimilation of lightning data, the simulated storm structure and surface cold pool are improved and closer to the observations for all the three schemes than the control run without LDA. For the F12 scheme, although the simulated thunderstorms are characterized by wide spread stratiform clouds and relatively weaker cold pool intensity and coverage, the positive impacts on both storm evolution and precipitation endures most prominently. For the Q14 scheme, intense downdrafts lead to the strongest cold pool and earlier dissipation of storms comparing with the observations. For the C18 scheme, increased graupel mass affect the cold-cloud processes leading to an earlier onset of rainfall, and the simulated surface cold pool is in better agreement with the observations. Profiting from more moisture added into the lower layers in C18, the storm develops more intensively toward higher altitude and sustains its development over a longer period after LDA, resulting in the best quantitative precipitation forecasts consequently. © 2019 Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/122287
Appears in Collections: 气候变化事实与影响
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作者单位: Key Laboratory of Middle Atmosphere and Global Environment Observation (LAGEO), Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, 100029, China; Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Nanjing University of information Science & Technology, Nanjing, 210044, China; University of Chinese Academy of Sciences, Beijing, 100049, China; Environmental Meteorology Forecast Center of Beijing-Tianjin-Hebei, Beijing, 100089, China
Recommended Citation:
Chen Z.,Qie X.,Liu D.,et al. Lightning data assimilation with comprehensively nudging water contents at cloud-resolving scale using WRF model[J]. Atmospheric Research,2019-01-01,221