ISSN 1000-0526
CN 11-2282/P
CN 11-2282/P
Archive > Volume 36 Issue 12 > 2010,36(12):128-133. DOI:10.7519/j.issn.1000-0526.2010.12.019 Prev Next
Storm Cell Identification and Tracking Algorithm for Assessment of SCIT
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Abstract:
Using the Xingyi new generation of Doppler weather radar complex scan data and WSR88D storm cell identification and tracking (SCIT) algorithm, the 40 weather courses occurring in Southwest Guizhou Province in 2007 to 2008 were assessed and analyzed from the six aspects: cell identification, assessment of cell track, cell location prediction, the relationship with the assessing effect， the relation with the assessing effect and the distance， and the comparative analysis between the hail weather and the heavy rainfall. Under the background of taking full account of local geography and climate, the unfavorable situation for algorithm assessment is made analysis and compensation and proposed solutions. First, to lower identification threshold, so that the 7 SCIT reflectivity thresholds are degraded by one level; Second, the vertical reflectivity gradient method is used. With the improved algorithm the weather cases occurring in 2007 and 2008 were reassessed and reanalyzed, and the comparative results show that the improved algorithm enhances the effect to some extent.
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