Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1016/j.atmosres.2019.05.019 |
Sensitivity analysis of raindrop size distribution parameterizations in WRF rainfall simulation | |
Yang, Qiqi1,2,3; Dai, Qiang1,2,3; Han, Dawei2; Chen, Yiheng2; Zhang, Shuliang1,3 | |
2019-11-01 | |
发表期刊 | ATMOSPHERIC RESEARCH |
ISSN | 0169-8095 |
EISSN | 1873-2895 |
出版年 | 2019 |
卷号 | 228页码:1-13 |
文章类型 | Article |
语种 | 英语 |
国家 | Peoples R China; England |
英文摘要 | Numerical weather models such as weather research and forecasting (WRF) are increasingly used in studies on water resources. However, they have suffered from relatively poor performance in rainfall estimation. Among the various influential factors, a critical parameter in the WRF model rainfall retrieval is raindrop size distribution (DSD), which has not been fully explored. The analysis of sensitivity and uncertainty of the DSD model accuracy is significant for rainfall forecasts based on mesoscale numerical weather prediction (NWP) models. A WRF-disdrometer integrated error assessment framework is developed to analyze the accuracy and sensitivity of DSD parameterizations of gamma distribution in WRF rainfall simulation. This study adopts three different microphysics parameterizations (Morrison, WDM6, and Thompson aerosol-aware) to simulate the DSD of approximately 100 rainfall events in Chilbolton, UK that are categorized into 12 scenarios based on the season, rainfall evenness, and rainfall rate. The Thompson aerosol-aware microphysics scheme shows the best performance among the three. In comparisons of WRF rainfall simulations across different scenarios of evenness and rainfall rate, a higher accuracy is obtained with more even rain and a higher rainfall rate. The sensitivity results of different DSD parameterizations indicate that the sensitivity to the intercept parameter N-0 is pronouncedly higher than those to the shape parameter mu and slope parameter lambda for all studied schemes. The overall WRF rainfall shows a trend of slight underestimation followed by overestimation as mu increases; further, the rainfall is overestimated when log(10)N(0) or lambda decreases and is underestimated when it increases and then remains constant. Comparisons of different scenarios reveal that variations of DSD parameters of even rain have a relatively high impact on rainfall recognizability, and the DSD parameterizations show a higher sensitivity for rainfall with a low rate. Moreover, the sensitivity discrimination is not clear among the rainfall of different seasons. The uncertainty assessment of the WRF rainfall retrieval caused by the shape parameter suggests that a gamma DSD model with a variable shape parameter should be developed according to the evenness, rainfall rate, and microphysics parameterizations by using the WRF model. Some modified algorithms of the WRF gamma DSD model for achieving better accuracy in WRF rainfall retrievals will be explored in future studies with various climatic regimes by adjusting the DSD parameterization based on the assimilation of measured data. |
英文关键词 | Raindrop size distribution WRF Rainfall simulation Microphysics parameterization Morrison WDM6 Thompson aerosol-aware Disdrometer |
领域 | 地球科学 |
收录类别 | SCI-E |
WOS记录号 | WOS:000477686700001 |
WOS关键词 | BULK MICROPHYSICS PARAMETERIZATION ; CLOUD MICROPHYSICS ; SQUALL-LINE ; WEATHER RESEARCH ; BOUNDARY-LAYER ; KINETIC-ENERGY ; RADAR DATA ; PART I ; MODEL ; PRECIPITATION |
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/187867 |
专题 | 地球科学 |
作者单位 | 1.Nanjing Normal Univ, Minist Educ, Key Lab VGE, Nanjing, Jiangsu, Peoples R China; 2.Univ Bristol, Dept Civil Engn, WEMRC, Bristol, Avon, England; 3.Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing, Jiangsu, Peoples R China |
推荐引用方式 GB/T 7714 | Yang, Qiqi,Dai, Qiang,Han, Dawei,et al. Sensitivity analysis of raindrop size distribution parameterizations in WRF rainfall simulation[J]. ATMOSPHERIC RESEARCH,2019,228:1-13. |
APA | Yang, Qiqi,Dai, Qiang,Han, Dawei,Chen, Yiheng,&Zhang, Shuliang.(2019).Sensitivity analysis of raindrop size distribution parameterizations in WRF rainfall simulation.ATMOSPHERIC RESEARCH,228,1-13. |
MLA | Yang, Qiqi,et al."Sensitivity analysis of raindrop size distribution parameterizations in WRF rainfall simulation".ATMOSPHERIC RESEARCH 228(2019):1-13. |
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