globalchange  > 气候减缓与适应
DOI: 10.1016/j.atmosres.2016.06.004
论文题名:
A quantitative comparison of precipitation forecasts between the storm-scale numerical weather prediction model and auto-nowcast system in Jiangsu, China
作者: Gaili Wanga; b; ; ; Ji Yangb; Dan Wangc; Liping Liua
刊名: Atmospheric Research
ISSN: 0169-8130
出版年: 2016
发表日期: 2016
卷: Volume 181, 页码:Pages 1-11
语种: 英语
英文关键词: Beijing auto-nowcast system ; ARPS forecasts ; Forecast performances ; Gridpoint-based measures ; Object-based verification
英文摘要: Extrapolation techniques and storm-scale Numerical Weather Prediction (NWP) models are two primary approaches for short-term precipitation forecasts. The primary objective of this study is to verify precipitation forecasts and compare the performances of two nowcasting schemes: a Beijing Auto-Nowcast system (BJ-ANC) based on extrapolation techniques and a storm-scale NWP model called the Advanced Regional Prediction System (ARPS). The verification and comparison takes into account six heavy precipitation events that occurred in the summer of 2014 and 2015 in Jiangsu, China. The forecast performances of the two schemes were evaluated for the next 6 h at 1-h intervals using gridpoint-based measures of critical success index, bias, index of agreement, root mean square error, and using an object-based verification method called Structure-Amplitude-Location (SAL) score. Regarding gridpoint-based measures, BJ-ANC outperforms ARPS at first, but then the forecast accuracy decreases rapidly with lead time and performs worse than ARPS after 4–5 h of the initial forecast. Regarding the object-based verification method, most forecasts produced by BJ-ANC focus on the center of the diagram at the 1-h lead time and indicate high-quality forecasts. As the lead time increases, BJ-ANC overestimates precipitation amount and produces widespread precipitation, especially at a 6-h lead time. The ARPS model overestimates precipitation at all lead times, particularly at first.
URL: http://www.sciencedirect.com/science/article/pii/S0169809516301478
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/11827
Appears in Collections:气候减缓与适应
气候变化事实与影响

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作者单位: State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Science, 46 Zhongguancun South Street, Haidian District, Beijing 100081, China; Jiangsu Institute of Meteorological Science, 16 Kunlun Load, Nanjing, Jiangsu 210009, China;National Meteorological Center, China Meteorological Administration, 46 Zhongguancun South Street, Haidian District, Beijing 100081, China

Recommended Citation:
Gaili Wanga,b,,et al. A quantitative comparison of precipitation forecasts between the storm-scale numerical weather prediction model and auto-nowcast system in Jiangsu, China[J]. Atmospheric Research,2016-01-01,Volume 181
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