| DOI: | 10.1016/j.atmosres.2017.10.027
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| Scopus记录号: | 2-s2.0-85033594485
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| 论文题名: | Enhanced object-based tracking algorithm for convective rain storms and cells |
| 作者: | Muñoz C.; Wang L.-P.; Willems P.
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| 刊名: | Atmospheric Research
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| ISSN: | 1698095
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| 出版年: | 2018
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| 卷: | 201 | | 起始页码: | 144
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| 结束页码: | 158
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| 语种: | 英语
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| 英文关键词: | Convective
; Image segmentation
; Nowcasting
; Optical flow
; Storm tracking
; Weather radar
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| Scopus关键词: | Image segmentation
; Meteorological radar
; Motion estimation
; Optical flows
; Radar
; Rain
; Stochastic systems
; Storms
; Tracking (position)
; Tracking radar
; Convective
; Identification approach
; Matching techniques
; Merging and splitting
; Nowcasting
; Radar reflectivities
; Rainfall generation
; Storm identification
; Weather forecasting
; algorithm
; convective system
; image analysis
; nowcasting
; radar
; rainstorm
; storm track
; tracking
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| 英文摘要: | This paper proposes a new object-based storm tracking algorithm, based upon TITAN (Thunderstorm Identification, Tracking, Analysis and Nowcasting). TITAN is a widely-used convective storm tracking algorithm but has limitations in handling small-scale yet high-intensity storm entities due to its single-threshold identification approach. It also has difficulties to effectively track fast-moving storms because of the employed matching approach that largely relies on the overlapping areas between successive storm entities. To address these deficiencies, a number of modifications are proposed and tested in this paper. These include a two-stage multi-threshold storm identification, a new formulation for characterizing storm's physical features, and an enhanced matching technique in synergy with an optical-flow storm field tracker, as well as, according to these modifications, a more complex merging and splitting scheme. High-resolution (5-min and 529-m) radar reflectivity data for 18 storm events over Belgium are used to calibrate and evaluate the algorithm. The performance of the proposed algorithm is compared with that of the original TITAN. The results suggest that the proposed algorithm can better isolate and match convective rainfall entities, as well as to provide more reliable and detailed motion estimates. Furthermore, the improvement is found to be more significant for higher rainfall intensities. The new algorithm has the potential to serve as a basis for further applications, such as storm nowcasting and long-term stochastic spatial and temporal rainfall generation. © 2017 Elsevier B.V. |
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| 资源类型: | 期刊论文
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| 标识符: | http://119.78.100.158/handle/2HF3EXSE/109004
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| Appears in Collections: | 影响、适应和脆弱性
气候变化事实与影响
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作者单位: | KU Leuven, Dept. of Civil Engineering, Hydraulics Section, Leuven, 3001, Belgium; RainPlusPlus Ltd., Derby, DE1 3RL, United Kingdom
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| Recommended Citation: | |
Muñoz C.,Wang L.-P.,Willems P.. Enhanced object-based tracking algorithm for convective rain storms and cells[J]. Atmospheric Research,2018-01-01,201
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