A Method for Early Identification of Hail Clouds Based on Doppler Weather Radar Data
A weather radar, early recognition technology, applied in the field of strong weather recognition, can solve the problems of high air alarm rate and low recognition rate
Active Publication Date: 2021-08-13
TIANJIN UNIV
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Problems solved by technology
[0004] In the process of realizing the present invention, the inventor finds that there are at least the following shortcomings and deficiencies in the prior art: most of the current hail cloud identification methods focus on a certain aspect of the hail cloud; Instead of real-time identification of the entire hail process; when these methods can identify hail clouds, the overall characteristics of hail are already obvious, and the recognition rate of the results is low and the false alarm rate is high
At present, there is no algorithm in China that can identify hail clouds in the early stages of their appearance
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[0048] The technical solutions of the present invention will be further described in detail below in conjunction with the accompanying drawings and specific examples. The described specific examples are only for explaining the present invention, and are not intended to limit the present invention.
[0049] The present invention proposes an early identification method for hail clouds based on Doppler weather radar data for strong weather identification. Thickness above 0℃ layer of the body Convective cell core thickness CT, convective cell core height CCH, combined reflectivity core area of convective cell above -10°C layer height Convective cell -10°C layer height above the cell core volume Convective Cell Higher Reflectivity Zone Volume Convective Cell Low Reflectivity Zone Volume Weak echo volume WEV below the overhanging body with reflectivity thresholds of 40dBZ and 45dBZ respectively 40 and WEV 45 and reflectivity gradient high value MRG CCH;Using the pri...
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The invention discloses an early identification method for hail clouds based on Doppler weather radar data for strong weather identification. First, based on the reflectivity data of Doppler weather radar, a bilinear difference algorithm is used to obtain the three-dimensional reflectivity Grid data; extract 10 features describing the hail cloud, and then reduce the feature dimension according to the principal component analysis method to obtain the volume comprehensive feature and the height-gradient comprehensive feature. Through time series analysis, the above two comprehensive feature values are in the hail In the early stage of cloud emergence, there was an obvious jump phenomenon; finally, based on the jump phenomenon of the two-dimensional comprehensive characteristics of the hail sample, using heavy precipitation as a negative sample, a four-dimensional strong convective single-unit description vector was constructed for early identification of hail clouds. The invention realizes early automatic identification of hail clouds, can provide favorable opportunities for hail prevention and hail suppression, and reduces economic losses and casualties. At the same time, it provides a new idea for the identification of severe convective weather based on weather radar data.
Description
technical field [0001] The invention relates to the field of strong weather identification, and relates to an early identification method for hail clouds based on Doppler weather radar data. Background technique [0002] Hail cloud is a product triggered by the ground convergence flow field under the condition of sufficient water vapor supply after the appearance of unstable atmospheric stratification, and it is classified as a strong convective storm. In the identification of severe weather, the identification of hail clouds plays an important role. [0003] Most of the research on hail cloud identification is based on Doppler weather radar. According to the structural characteristics and morphological characteristics of hail cloud, based on the base data of radar reflectivity factors at various elevation angles, different hail cloud characteristics are constructed to identify hail cloud. Mason [1] Use the 55dBZ albedo value as a threshold to distinguish between hail and ...
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IPC IPC(8): G01S13/95G01S7/02
CPCG01S7/02G01S13/95Y02A90/10
Inventor 王萍史金玉侯谨毅
Owner TIANJIN UNIV