Effects of the Forecasting Methods, Precipitation Character, and Satellite Resolution on the Predictability of Short-Term Quantitative Precipitation Nowcasting (QPN) from a Geostationary Satellite

	Effects of the Forecasting Methods, Precipitation Character, and Satellite Resolution on the Predictability of Short-Term Quantitative Precipitation Nowcasting (QPN) from a Geostationary Satellite
	Liu, Yu 1; Xi, Du-Gang 1; Li, Zhao-Liang 1; Ji, Wei 1
刊名	PLOS ONE
	2015
卷号	10 期号:10
通讯作者	Li, ZL (reprint author), Chinese Acad Agr Sci, Inst Agr Resources & Reg Planning, Minist Agr, Key Lab Agri Informat, Beijing 100193, Peoples R China.
英文摘要	The prediction of the short-term quantitative precipitation nowcasting (QPN) from consecutive gestational satellite images has important implications for hydro-meteorological modeling and forecasting. However, the systematic analysis of the predictability of QPN is limited. The objective of this study is to evaluate effects of the forecasting model, precipitation character, and satellite resolution on the predictability of QPN usingimages of a Chinese geostationary meteorological satellite Fengyun-2F (FY-2F) which covered all intensive observation since its launch despite of only a total of approximately 10 days. In the first step, three methods were compared to evaluate the performance of the QPN methods: a pixel-based QPN using the maximum correlation method (PMC); the Horn-Schunck optical-flow scheme (PHS); and the Pyramid Lucas-Kanade Optical Flow method (PPLK), which is newly proposed here. Subsequently, the effect of the precipitation systems was indicated by 2338 imageries of 8 precipitation periods. Then, the resolution dependence was demonstrated by analyzing the QPN with six spatial resolutions (0.1atial, 0.3a, 0.4atial rand 0.6). The results show that the PPLK improves the predictability of QPN with better performance than the other comparison methods. The predictability of the QPN is significantly determined by the precipitation system, and a coarse spatial resolution of the satellite reduces the predictability of QPN.
研究领域[WOS]	Multidisciplinary Sciences
收录类别	SCI
语种	英语
WOS记录号	WOS:000362511000083
内容类型	期刊论文
源URL	[http://ir.ceode.ac.cn/handle/183411/38082]
专题	遥感与数字地球研究所_SCI/EI期刊论文_期刊论文
作者单位	1.[Liu, Yu 2.Ji, Wei] Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Beijing, Peoples R China 3.[Liu, Yu] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing, Peoples R China 4.[Xi, Du-Gang] PLA Informat Engn Univ, Zhengzhou, Peoples R China 5.[Xi, Du-Gang] Naval Inst Hydrog Surveying & Charting, Tianjin, Peoples R China 6.[Li, Zhao-Liang] Chinese Acad Agr Sci, Inst Agr Resources & Reg Planning, Minist Agr, Key Lab Agri Informat, Beijing 100193, Peoples R China 7.[Li, Zhao-Liang] CNRS, UdS, ICube, F-67412 Illkirch Graffenstaden, France
推荐引用方式 GB/T 7714	Liu, Yu,Xi, Du-Gang,Li, Zhao-Liang,et al. Effects of the Forecasting Methods, Precipitation Character, and Satellite Resolution on the Predictability of Short-Term Quantitative Precipitation Nowcasting (QPN) from a Geostationary Satellite[J]. PLOS ONE,2015,10(10).
APA	Liu, Yu,Xi, Du-Gang,Li, Zhao-Liang,&Ji, Wei.(2015).Effects of the Forecasting Methods, Precipitation Character, and Satellite Resolution on the Predictability of Short-Term Quantitative Precipitation Nowcasting (QPN) from a Geostationary Satellite.PLOS ONE,10(10).
MLA	Liu, Yu,et al."Effects of the Forecasting Methods, Precipitation Character, and Satellite Resolution on the Predictability of Short-Term Quantitative Precipitation Nowcasting (QPN) from a Geostationary Satellite".PLOS ONE 10.10(2015).