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    Online-Ressource
    Online-Ressource
    American Meteorological Society ; 2020
    In:  Journal of Climate Vol. 33, No. 12 ( 2020-06-15), p. 5013-5033
    In: Journal of Climate, American Meteorological Society, Vol. 33, No. 12 ( 2020-06-15), p. 5013-5033
    Kurzfassung: Using 5 years of operational Doppler radar, cloud-to-ground (CG) lightning observations, and National Centers for Environmental Prediction reanalysis data, this study examined the spatial and temporal characteristics of and correlations between summer storm and lightning activity over the Yangtze River Delta (YRD), with a focus on subseasonal variability and diurnal cycles. The spatiotemporal features of storm top, duration, maximum reflectivity, size, and cell-based vertical integrated liquid water were investigated using the Storm Cell Identification and Tracking algorithm. Our results revealed that there was high storm activity over the YRD, with weak diurnal variations during the mei-yu period. Specifically, storms were strongly associated with mei-yu fronts and exhibited a moderate size, duration, and intensity. On average, afternoon storms exhibited stronger reflectivity and higher storm tops than morning storms, as evidenced by the afternoon peak in CG lightning. The storm intensity strengthened in the post-mei-yu period, due to an increase in atmospheric instability; this was accompanied by a higher frequency of CG lighting. The diurnal cycles of storm frequency and CG lightning in the post-mei-yu period followed a unimodal pattern with an afternoon peak. This is attributable to increased thermodynamic instability in the afternoon, as little diurnal variation was observed for wind shear and moisture. An inverse correlation between lightning occurrence and mean peak current (MPC) for negative CG lightning was evident during the pre-mei-yu and mei-yu periods. The diurnal variation in MPC for negative CG lightning agreed well with that for storm intensity.
    Materialart: Online-Ressource
    ISSN: 0894-8755 , 1520-0442
    RVK:
    Sprache: Unbekannt
    Verlag: American Meteorological Society
    Publikationsdatum: 2020
    ZDB Id: 246750-1
    ZDB Id: 2021723-7
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