Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1029/2018JD030190 |
Constraining the Large-Scale Analysis of a Regional Rapid-Update-Cycle System for Short-Term Convective Precipitation Forecasting | |
Tang, Xiaowen1; Sun, Juanzhen2; Zhang, Ying2; Tong, Wenxue3 | |
2019-07-16 | |
发表期刊 | JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
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ISSN | 2169-897X |
EISSN | 2169-8996 |
出版年 | 2019 |
卷号 | 124期号:13页码:6949-6965 |
文章类型 | Article |
语种 | 英语 |
国家 | Peoples R China; USA |
英文摘要 | This study examines the impact of a large-scale constraint (LSC) on the large-scale analysis and precipitation forecast of convective weather systems in a regional rapid-update-cycle system. The LSC is imposed by assimilating Global Forecast System forecast fields as bogus observations with a scale selection scheme. The scale selection is achieved by skipping data points of Global Forecast System forecast fields in the horizontal and vertical directions. It is shown that the LSC is able to modify the large-scale component of the analysis fields while leaving the small-scale component mostly intact compared with a control experiment without the constraint. The effects of the LSC on precipitation forecast are verified and analyzed using nine convective cases in the Rocky Mountain Front Range and its east plains. The results show that the LSC is effective in improving the precipitation forecast of different cases. However, the cases with weak large-scale forcing show greater improvements than those with strong large-scale forcing. Further analyses on the dynamic and thermodynamic variables indicate that the use of the LSC is able to construct a favorable environment for the initiation and development of convection in the case of weak large-scale forcing, which leads to significant improvement of convective precipitation forecasting when radar observations are assimilated. |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000477580200019 |
WOS关键词 | VARIATIONAL DATA ASSIMILATION ; RADAR DATA ASSIMILATION ; MODEL ; 3DVAR ; IMPLEMENTATION ; INITIALIZATION ; VERIFICATION ; PREDICTION ; CENTERS ; IMPACT |
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/185129 |
专题 | 气候变化 |
作者单位 | 1.Chengdu Univ Informat Technol, Coll Meteorol Observat, Chengdu, Sichuan, Peoples R China; 2.Natl Ctr Atmospher Res, POB 3000, Boulder, CO 80307 USA; 3.China Meteorol Adm Beijing, Inst Urban Meteorol, Beijing, Peoples R China |
推荐引用方式 GB/T 7714 | Tang, Xiaowen,Sun, Juanzhen,Zhang, Ying,et al. Constraining the Large-Scale Analysis of a Regional Rapid-Update-Cycle System for Short-Term Convective Precipitation Forecasting[J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,2019,124(13):6949-6965. |
APA | Tang, Xiaowen,Sun, Juanzhen,Zhang, Ying,&Tong, Wenxue.(2019).Constraining the Large-Scale Analysis of a Regional Rapid-Update-Cycle System for Short-Term Convective Precipitation Forecasting.JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,124(13),6949-6965. |
MLA | Tang, Xiaowen,et al."Constraining the Large-Scale Analysis of a Regional Rapid-Update-Cycle System for Short-Term Convective Precipitation Forecasting".JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES 124.13(2019):6949-6965. |
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