2019
DOI: 10.1007/s00376-019-9021-1
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A Review of Research on Warm-Sector Heavy Rainfall in China

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Cited by 53 publications
(31 citation statements)
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“…The data have a spatial resolution of approximately 2.15 km and were available every 10 min before 15 June 2016 and every 6 min afterward. We focused on the warm season (April–September) when convection and precipitation systems in South China are active and undergo subseasonal change with monsoon progress (Ding & Chan, 2005; Sun et al, 2019; Zhang et al, 2017). There are 237,542 usable radar mosaic maps out of a possible 247,440 during the 7‐year period, with a completeness rate of 96%.…”
Section: Methodsmentioning
confidence: 99%
“…The data have a spatial resolution of approximately 2.15 km and were available every 10 min before 15 June 2016 and every 6 min afterward. We focused on the warm season (April–September) when convection and precipitation systems in South China are active and undergo subseasonal change with monsoon progress (Ding & Chan, 2005; Sun et al, 2019; Zhang et al, 2017). There are 237,542 usable radar mosaic maps out of a possible 247,440 during the 7‐year period, with a completeness rate of 96%.…”
Section: Methodsmentioning
confidence: 99%
“…Numerous studies have suggested that the Asian summer monsoon [14], low-level jets (LLJs) [15][16][17][18], coastal topography [10,[19][20][21][22][23][24], land-sea contrasts [12], the mesoscale convergence line [19,[25][26][27][28][29], and cold pools [24,29] play important roles in the formation of warm-sector rainstorms in South China. A distinct mesoscale feature of the coastal storms producing extreme rain is the slow-moving rainband training organization [30,31], which is closely related to the convectively generated cold outflows, rear inflows inside the rainband, and boundary layer (BL) airflows from the northern SCS [22,28,29].…”
Section: Introductionmentioning
confidence: 99%
“…On May 06–07, 2017, both Huadu District and Zengcheng District (HD and ZC for short, respectively) of the coastal city of Guangzhou experienced extreme rainfall with maximum precipitation exceeding 180, 330, and 500 mm in 1‐, 3‐, and 24‐h accumulated time periods, respectively, which broke the maximum precipitation record of the region for the last 50 years and caused a serious flood disaster and economic loss (Zheng et al., 2016). Due to weak synoptic forcing, most operational numerical weather prediction (NWP) models failed to forecast this extreme warm‐sector rainfall (Sun et al., 2019). Many previous studies have been conducted on this extreme rainfall event, divided it into two time periods, which occurred in HD and ZC (Tian et al., 2018).…”
Section: Introductionmentioning
confidence: 99%