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Atmosphere 2018, 9(7), 260;

Subpixel-Based Precipitation Nowcasting with the Pyramid Lucas–Kanade Optical Flow Technique

State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of Technology, Chengdu 610059, China
Key Laboratory of Environment Change and Resources Use in Beibu Gulf, Data Science of Guangxi Higher Education Key Laboratory, Guangxi Teachers Education University, Ministry of Education, Nanning 530001, China
School of Atmospheric Sciences, Sun Yat-sen University, Guangzhou 510275, China
Guangdong Province Key Laboratory for Climate Change and Natural Disaster Studies, Guangzhou 510275, China
Authors to whom correspondence should be addressed.
Received: 16 April 2018 / Revised: 25 June 2018 / Accepted: 6 July 2018 / Published: 12 July 2018
(This article belongs to the Special Issue Precipitation: Measurement and Modeling)
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Short-term high-resolution quantitative precipitation forecasting (QPF) is very important for flash-flood warning, navigation safety, and other hydrological applications. This paper proposes a subpixel-based QPF algorithm using a pyramid Lucas–Kanade optical flow technique (SPLK) for short-time rainfall forecast. The SPLK tracks the storm on the subpixel level by using the optical flow technique and then extrapolates the precipitation using a linear method through redistribution and interpolation. The SPLK compares with object-based and pixel-based nowcasting algorithms using eight thunderstorm events to assess its performance. The results suggest that the SPLK can perform better nowcasting of precipitation than the object-based and pixel-based algorithms with higher adequacy in tracking and predicting severe storms in 0–2 h lead-time forecasting. View Full-Text
Keywords: nowcasting; subpixel; pyramid Lucas–Kanade optical flow algorithm nowcasting; subpixel; pyramid Lucas–Kanade optical flow algorithm

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Li, L.; He, Z.; Chen, S.; Mai, X.; Zhang, A.; Hu, B.; Li, Z.; Tong, X. Subpixel-Based Precipitation Nowcasting with the Pyramid Lucas–Kanade Optical Flow Technique. Atmosphere 2018, 9, 260.

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