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Estimation of raindrop size distribution and rain rate with infrared surveillance camera in dark conditions.
- Source :
-
Atmospheric Measurement Techniques Discussions . 8/23/2022, p1-23. 23p. - Publication Year :
- 2022
-
Abstract
- This study estimated raindrop size distribution (DSD) and rainfall intensity with an infrared surveillance camera in dark conditions. Accordingly, rain streaks were extracted using a k-nearest neighbor (KNN)-based algorithm. The rainfall intensity was estimated using DSD based on physical optics analysis. The estimated DSD was verified using a disdrometer. Furthermore, a tipping-bucket rain gauge was used for comparison. The results are summarized as follows. First, a KNN-based algorithm can accurately recognize rain streaks from complex backgrounds captured by the camera. Second, the number concentration of raindrops obtained through closed-circuit television (CCTV) images was similar to the actual PArticle SIze and VELocity (PARSIVEL)-observed number concentration in the 0.5 to 1.5 mm section. Third, maximum raindrop diameter and the number concentration of 1 mm or less produced similar results during the period with a high ratio of diameters of 3 mm or less. Finally, after comparing with the 15-min cumulative PARSIVEL rain rate, the mean absolute percent error (MAPE) was 44 %. The differences according to rain rate can be determined. The MAPE was 32 % at a rain rate of less than 2 mm h-1 and 73 % at a rate above 2 mm h-1. We confirmed the possibility of estimating an image-based DSD and rain rate obtained based on low-cost equipment during dark conditions. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 18678610
- Database :
- Academic Search Index
- Journal :
- Atmospheric Measurement Techniques Discussions
- Publication Type :
- Academic Journal
- Accession number :
- 158794647
- Full Text :
- https://doi.org/10.5194/amt-2022-196