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Volume 9
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Article

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

by
Ling Li
1,2,
Zhengwei He
1,*,
Sheng Chen
3,4,*,
Xiongfa Mai
2,
Asi Zhang
3,4,
Baoqing Hu
2,
Zhi Li
2 and
Xinhua Tong
2
1
State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of Technology, Chengdu 610059, China
2
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
3
School of Atmospheric Sciences, Sun Yat-sen University, Guangzhou 510275, China
4
Guangdong Province Key Laboratory for Climate Change and Natural Disaster Studies, Guangzhou 510275, China
*
Authors to whom correspondence should be addressed.
Atmosphere 2018, 9(7), 260; https://doi.org/10.3390/atmos9070260
Submission 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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Abstract

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.
Keywords: nowcasting; subpixel; pyramid Lucas–Kanade optical flow algorithm nowcasting; subpixel; pyramid Lucas–Kanade optical flow algorithm

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MDPI and ACS Style

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. https://doi.org/10.3390/atmos9070260

AMA Style

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(7):260. https://doi.org/10.3390/atmos9070260

Chicago/Turabian Style

Li, Ling, Zhengwei He, Sheng Chen, Xiongfa Mai, Asi Zhang, Baoqing Hu, Zhi Li, and Xinhua Tong. 2018. "Subpixel-Based Precipitation Nowcasting with the Pyramid Lucas–Kanade Optical Flow Technique" Atmosphere 9, no. 7: 260. https://doi.org/10.3390/atmos9070260

APA Style

Li, L., He, Z., Chen, S., Mai, X., Zhang, A., Hu, B., Li, Z., & Tong, X. (2018). Subpixel-Based Precipitation Nowcasting with the Pyramid Lucas–Kanade Optical Flow Technique. Atmosphere, 9(7), 260. https://doi.org/10.3390/atmos9070260

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