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Spatiotemporal characteristics of thunderstorm gales and evaluation of effectiveness of early warning signals in Shanghai
ZHOU Weidong, DAI Jianhua, GUAN Li, FU Jie, CHEN Hao, WANG Rui, LYU Qing
Journal of Arid Meteorology    2025, 43 (4): 637-645.   DOI: 10.11755/j.issn.1006-7639-2025-04-0637
Abstract183)   HTML1)    PDF(pc) (19062KB)(1575)       Save

To enhance the effectiveness of thunderstorm gale warning signals and achieve a scientific balance between accuracy and lead time, this study systematically evaluates the warning signals based on observation data from 245 automatic weather stations in Shanghai from 2016 to 2023 and warning signals issued by nine district meteorological stations, using the percentile method and synoptic classification. Results show that thunderstorm gales mainly occur from April to August, with the highest frequency in July; their diurnal variation is characterized by frequent occurrence from afternoon to nighttime; extremely strong gales are prone to appear in coastal and riverside areas; and the issuance of warning signals generally precedes the peak occurrence of gales by about 1 hour. The overall effectiveness score is 14.1 points (out of 100), and the average score for extremely strong thunderstorm gales is 28.2 points, with the warm shear type scoring the highest (49.2 points) and the stationary front shear type the lowest (12.1 points). During subtropical high-edge and stationary front shear processes, the western Pacific subtropical high tends to be stronger and displaced westward. Case studies indicate that extremely strong thunderstorm gales associated with the upper-level cold vortex under the influence of the northeast cold vortex achieve relatively higher scores. However, similar to other processes, when the wind force reaches beaufort scale force 12 or above, warnings are often issued later than the actual occurrence. Subtropical high-edge gales have a relatively wide impact range, and warnings are generally issued in a timely manner across districts, resulting in overall higher effectiveness scores.

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Extreme Short-time Heavy Precipitation Forecast Based on GRAPES-MESO Model
ZHANG Wulong, KANG Lan, ZHOU Wei, YIN Hang,
Journal of Arid Meteorology    2021, 39 (3): 507-513.  
Abstract620)      PDF(pc) (1219KB)(2362)       Save
Based on hourly precipitation data from 109 meteorological stations in Sichuan basin and 3-hourly forecast data with 0.1°×0.1° spatial resolution from GRAPESMESO model from May to September during 2017-2018, this study investigated the characteristic of key physical parameters of the occurrence and development of extreme shorttime heavy precipitation (hourly precipitation amount ≥50 mm), such as thermal instability, water vapor and dynamic conditions. A prediction model was established using random probability thought and principal component analysis method to develop the extreme shorttime heavy precipitation probability forecast product. The forecast effect evaluation showed that the TS was 24.0% when the probability was greater than or equal to 0.7. The value could be used as the reference threshold for the extreme shorttime heavy precipitation forecast. During the rainstorm process in Sichuan basin on 22 July 2019, the practical application indicated that the product had good reference meaning for the forecast of extreme shorttime heavy precipitation location.
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Analysis on the Radar Products on 6.23 Heavy Rainfall Process in Beijing
LI Feng,ZHOU Wei,ZHANG Lejian,CHEN Yun
Journal of Arid Meteorology    DOI: 10.11755/j.issn.1006-7639(2014)-04-0608
Analysis of Temperature Difference Between the Inside and Outside of a Hail Clou Based on Microwave Radiometer Data
ZHOU Wei, TUN Hong-Yi, TIAN Hai-Jun
J4    2011, 29 (1): 10-16.  
Abstract1933)      PDF(pc) (1176KB)(3716)       Save

The vertical temperature profile data of a lightning hail cloud moving from northwest to southeast over Beijing on September
14,2008 remote sensed by TP/WVP-3000 microwave radiometer are analyzed here.Referring to radar echoes and automatic weather
system precipitation data,we use the temperature data of Guanxiangtai station as the environment temperature profile when it does not
rain there,and use the temperature data of Chedaogou station as the hail cloud temperature profile when it rains there only.The evolu-
tion of temperature profile over Chedaogou station,the mean systematic errors and the temperature deference at 2,4,6 km height be-
tween two stations are studied.Results show that during the rianfall period(from 21:00 to 21:15)the temperature at the bottom of
the hail cloud is much more lower than that outside the hail cloud where it does not rain,but from the lower level to the higher level in
front of hail cloud,the temperature is much more higher than that outside the hial cloud,the difference is 4.2℃at 2 km,10.1℃at
4 km and 8.8℃at 6 km.

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