A new methodology for pixel-quantitative precipitation nowcasting using a pyramid Lucas Kanade optical flow approach

	A new methodology for pixel-quantitative precipitation nowcasting using a pyramid Lucas Kanade optical flow approach
	Liu, Yu 1; Xi, Du-Gang 1; Li, Zhao-Liang 1; Hong, Yang 1
刊名	JOURNAL OF HYDROLOGY
	2015
卷号	529 页码:657-666
关键词	Quantitative precipitation nowcasting Pyramid Lucas-Kanade optical flow method Pixel level Fengyun-2F
通讯作者	Li, ZL (reprint author), Chinese Acad Agr Sci, Key Lab Agri Informat, Minist Agr, Inst Agr Resources & Reg Planning, Beijing 100081, Peoples R China.
英文摘要	Short-term high-resolution Quantitative Precipitation Nowcasting (QPN) has important implications for navigation, flood forecasting, and other hydrological and meteorological concerns. This study proposes a new algorithm called Pixel-based QPN using the Pyramid Lucas-Kanade Optical Flow method (PPLK), which comprises three steps: employing a Pyramid Lucas-Kanade Optical Flow method (PLKOF) to estimate precipitation advection, projecting rainy clouds by considering the advection and evolution pixel by pixel, and interpolating QPN imagery based on the space-time continuum of cloud patches. The PPLK methodology was evaluated with 2338 images from the geostationary meteorological satellite Fengyun-2F (FY-2F) of China and compared with two other advection-based methods, i.e., the maximum correlation method and the Horn-Schunck Optical Flow scheme. The data sample covered all intensive observations since the launch of FY-2F, despite covering a total of only approximately 10 days. The results show that the PPLK performed better than the algorithms used for comparison, demonstrating less time expenditure, more effective cloud tracking, and improved QPN accuracy. (C) 2015 Elsevier B.V. All rights reserved.
研究领域[WOS]	Engineering, Civil ; Geosciences, Multidisciplinary ; Water Resources
收录类别	SCI ; EI
语种	英语
WOS记录号	WOS:000364248800028
内容类型	期刊论文
源URL	[http://ir.ceode.ac.cn/handle/183411/38089]
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] Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Beijing 100101, Peoples R China 2.[Liu, Yu] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 3.[Xi, Du-Gang] PLA Informat Engn Univ, Zhengzhou 450001, Peoples R China 4.[Li, Zhao-Liang] Chinese Acad Agr Sci, Key Lab Agri Informat, Minist Agr, Inst Agr Resources & Reg Planning, Beijing 100081, Peoples R China 5.[Li, Zhao-Liang] CNRS, UdS, ICube, F-67412 Illkirch Graffenstaden, France 6.[Hong, Yang] Tsinghua Univ, Dept Hydraul Engn, Beijing 100084, Peoples R China
推荐引用方式 GB/T 7714	Liu, Yu,Xi, Du-Gang,Li, Zhao-Liang,et al. A new methodology for pixel-quantitative precipitation nowcasting using a pyramid Lucas Kanade optical flow approach[J]. JOURNAL OF HYDROLOGY,2015,529:657-666.
APA	Liu, Yu,Xi, Du-Gang,Li, Zhao-Liang,&Hong, Yang.(2015).A new methodology for pixel-quantitative precipitation nowcasting using a pyramid Lucas Kanade optical flow approach.JOURNAL OF HYDROLOGY,529,657-666.
MLA	Liu, Yu,et al."A new methodology for pixel-quantitative precipitation nowcasting using a pyramid Lucas Kanade optical flow approach".JOURNAL OF HYDROLOGY 529(2015):657-666.