Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1002/2017JD026461 |
Evaluation of deep convective transport in storms from different convective regimes during the DC3 field campaign using WRF-Chem with lightning data assimilation | |
Li, Yunyao1; Pickering, Kenneth E.1; Allen, Dale J.1; Barth, Mary C.2; Bela, Megan M.3,4; Cummings, Kristin A.1; Carey, Lawrence D.5; Mecikalski, Retha M.5; Fierro, Alexandre O.6,7; Campos, Teresa L.2; Weinheimer, Andrew J.2; Diskin, Glenn S.8; Biggerstaff, Michael I.9 | |
2017-07-16 | |
发表期刊 | JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES |
ISSN | 2169-897X |
EISSN | 2169-8996 |
出版年 | 2017 |
卷号 | 122期号:13 |
文章类型 | Article |
语种 | 英语 |
国家 | USA |
英文摘要 | Deep convective transport of surface moisture and pollution from the planetary boundary layer to the upper troposphere and lower stratosphere affects the radiation budget and climate. This study analyzes the deep convective transport in three different convective regimes from the 2012 Deep Convective Clouds and Chemistry field campaign: 21 May Alabama air mass thunderstorms, 29 May Oklahoma supercell severe storm, and 11 Junemesoscale convective system (MCS). Lightning data assimilation within the Weather Research and Forecasting (WRF) model coupled with chemistry (WRF-Chem) is utilized to improve the simulations of storm location, vertical structure, and chemical fields. Analysis of vertical flux divergence shows that deep convective transport in the 29 May supercell case is the strongest per unit area, while transport of boundary layer insoluble trace gases is relatively weak in the MCS and air mass cases. The weak deep convective transport in the strong MCS is unexpected and is caused by the injection into low levels of midlevel clean air by a strong rear inflow jet. In each system, the magnitude of tracer vertical transport is more closely related to the vertical distribution of mass flux density than the vertical distribution of trace gas mixing ratio. Finally, the net vertical transport is strongest in high composite reflectivity regions and dominated by upward transport. |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000407900300026 |
WOS关键词 | TROPOSPHERIC OZONE PRODUCTION ; TRACE GAS-TRANSPORT ; BIOMASS BURNING EMISSIONS ; SHORT-TERM FORECAST ; UNITED-STATES ; NUMERICAL SIMULATIONS ; TORNADO OUTBREAK ; BOUNDARY-LAYER ; MODEL ; THUNDERSTORMS |
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/34013 |
专题 | 气候变化 |
作者单位 | 1.Univ Maryland, Dept Atmospher & Ocean Sci, College Pk, MD 20742 USA; 2.Natl Ctr Atmospher Res, POB 3000, Boulder, CO 80307 USA; 3.Univ Colorado Boulder, Dept Atmospher & Ocean Sci, Boulder, CO USA; 4.NOAA, Earth Syst Res Lab, Boulder, CO USA; 5.Univ Alabama, Dept Atmospher Sci, Huntsville, AL 35899 USA; 6.Univ Oklahoma, Cooperat Inst Mesoscale Meteorol Studies, Norman, OK 73019 USA; 7.NOAA, Natl Severe Storms Lab, OAR, Norman, OK 73069 USA; 8.NASA, Langley Res Ctr, Hampton, VA 23665 USA; 9.Univ Oklahoma, Sch Meteorol, Norman, OK 73019 USA |
推荐引用方式 GB/T 7714 | Li, Yunyao,Pickering, Kenneth E.,Allen, Dale J.,et al. Evaluation of deep convective transport in storms from different convective regimes during the DC3 field campaign using WRF-Chem with lightning data assimilation[J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,2017,122(13). |
APA | Li, Yunyao.,Pickering, Kenneth E..,Allen, Dale J..,Barth, Mary C..,Bela, Megan M..,...&Biggerstaff, Michael I..(2017).Evaluation of deep convective transport in storms from different convective regimes during the DC3 field campaign using WRF-Chem with lightning data assimilation.JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,122(13). |
MLA | Li, Yunyao,et al."Evaluation of deep convective transport in storms from different convective regimes during the DC3 field campaign using WRF-Chem with lightning data assimilation".JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES 122.13(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