Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1016/j.atmosres.2017.04.037 |
Simulation of a severe convective storm using a numerical model with explicitly incorporated aerosols | |
Lompar, Milos1; Curic, Mladjen2; Romanic, Djordje3 | |
2017-09-15 | |
发表期刊 | ATMOSPHERIC RESEARCH
![]() |
ISSN | 0169-8095 |
EISSN | 1873-2895 |
出版年 | 2017 |
卷号 | 194 |
文章类型 | Article |
语种 | 英语 |
国家 | Serbia; Canada |
英文摘要 | Despite an important role the aerosols play in all stages of cloud lifecycle, their representation in numerical weather prediction models is often rather crude. This paper investigates the effects the explicit versus implicit inclusion of aerosols in a microphysics parameterization scheme in Weather Research and Forecasting (WRF) Advanced Research WRF (WRF-ARW) model has on cloud dynamics and microphysics. The testbed selected for this study is a severe mesoscale convective system with supercells that struck west and central parts of Serbia in the afternoon of July 21, 2014. Numerical products of two model runs, i.e. one with aerosols explicitly (WRF-AE) included and another with aerosols implicitly (WRF-AI) assumed, are compared against precipitation measurements from surface network of rain gauges, as well as against radar and satellite observations. The WRF-AE model accurately captured the transportation of dust from the north Africa over the Mediterranean and to the Balkan region. On smaller scales, both models displaced the locations of clouds situated above west and central Serbia towards southeast and under-predicted the maximum values of composite radar reflectivity. Similar to. satellite images, WRF-AE shows the mesoscale convective system as a merged cluster of cumulonimbus clouds. Both models over-predicted the precipitation amounts; WRF-AE over-predictions are particularly pronounced in the zones of light rain, while WRF-AI gave larger outliers. Unlike WRF-AI, the WRF-AE approach enables the modelling of time evolution and influx of aerosols into the cloud which could be of practical importance in weather forecasting and weather modification. Several likely causes for discrepancies between models and observations are discussed and prospects for further research in this field are outlined. |
英文关键词 | WRF Severe weather Aerosols Aerosol modelling Cloud microphysics Balkans |
领域 | 地球科学 |
收录类别 | SCI-E |
WOS记录号 | WOS:000405043700014 |
WOS关键词 | PRECIPITATION ; PARAMETERIZATIONS ; PREDICTION ; ERRORS ; RADAR ; IMPLEMENTATION ; DISTRIBUTIONS ; CLIMATOLOGY ; IMPACTS ; CLOUDS |
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/38448 |
专题 | 地球科学 |
作者单位 | 1.Republ Hydrometeorol Serv Serbia, Dept Meteorol, Belgrade, Serbia; 2.Univ Belgrade, Inst Meteorol, Belgrade, Serbia; 3.Western Univ, Wind Engn Energy & Environm WindEEE Res Inst, London, ON, Canada |
推荐引用方式 GB/T 7714 | Lompar, Milos,Curic, Mladjen,Romanic, Djordje. Simulation of a severe convective storm using a numerical model with explicitly incorporated aerosols[J]. ATMOSPHERIC RESEARCH,2017,194. |
APA | Lompar, Milos,Curic, Mladjen,&Romanic, Djordje.(2017).Simulation of a severe convective storm using a numerical model with explicitly incorporated aerosols.ATMOSPHERIC RESEARCH,194. |
MLA | Lompar, Milos,et al."Simulation of a severe convective storm using a numerical model with explicitly incorporated aerosols".ATMOSPHERIC RESEARCH 194(2017). |
条目包含的文件 | 条目无相关文件。 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论