2015
DOI: 10.1007/s13351-014-4119-y
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Statistical characteristics of environmental parameters for warm season short-duration heavy rainfall over central and eastern China

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Cited by 29 publications
(20 citation statements)
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“…After seeing different statistical characteristics of rainfall and large-scale flows associated with the three types of WSHR events, it is desirable to examine their corresponding pre-storm environmental thermodynamical parameters in terms of stability, PWAT and CAPE [58][59][60]. Accurate characterizing the pre-storm environmental soundings is often limited due partly to lacking observations in pre-storm environments with respect to approaching MCSs, and partly to the coarse spatial and temporal resolutions of conventional observations.…”
Section: Environmental Thermodynamical Parametersmentioning
confidence: 99%
“…After seeing different statistical characteristics of rainfall and large-scale flows associated with the three types of WSHR events, it is desirable to examine their corresponding pre-storm environmental thermodynamical parameters in terms of stability, PWAT and CAPE [58][59][60]. Accurate characterizing the pre-storm environmental soundings is often limited due partly to lacking observations in pre-storm environments with respect to approaching MCSs, and partly to the coarse spatial and temporal resolutions of conventional observations.…”
Section: Environmental Thermodynamical Parametersmentioning
confidence: 99%
“…The importance of kinematic indicators is significantly undervalued if parameters are just put together for comparison. By classifying the parameters into indicators of moisture content, instability, and dynamic conditions, and dividing the hourly rainfall into no rainfall (less than 0.1 mm h −1 ), ordinary rainfall (intensities between 0.1 and 19.9 mm h −1 ), and SDHR (greater than 20.0 mm h −1 ), Tian et al [23] used millions of hourly rainfall records to study the performance of different parameters as indicators. Results show that the precipitable water (PWAT), the best lifted index (BLI), the K index (KI), and the DIV 925 are good at simultaneously discriminating SDHR from no rainfall and ordinary rainfall.…”
Section: Introductionmentioning
confidence: 99%
“…Most short‐term heavy rainfall events have short life cycles, a small spatial scale and show drastic changes in atmospheric elements (Tian et al ., 2015). City waterlogging, flash flooding, landslides, and geological disasters are caused by large amounts of precipitation that occur over a relatively short duration (Yamagishi et al ., 2013).…”
Section: Introductionmentioning
confidence: 99%
“…Chen et al (2012) documented that heavy rainfall is closely associated with water content and stratification stability in the atmosphere in Eastern China. Tian et al (2015) concluded that water vapour content is crucial to short-term heavy rainfall events during the warm season over Central and Eastern China. Liang and Ding (2017) suggested that regional warming, water vapour content, convergence of moisture flux and atmospheric instability provided favourable physical backgrounds for the formation of extreme precipitation in Shanghai during 1916.…”
Section: Introductionmentioning
confidence: 99%