For a more comprehensive understanding to the influence mechanism of the occurrence and development of historical extreme snow process in south of Shandong province, the cause and the dynamic structure on a snowstorm event occurred in south of Shandong Province from 23 to 24 November 2015 was investigated by the dynamic diagnosis with the routine sounding and surface observation data, OLR data of FY-2E satellite, NCEP/NCAR 1°×1° reanalysis data. The results show that:(1) Under the return-flow situation, the abnormal snowstorm occurred by the combined effect of the strong low-level southwest jet, shear line and northeast jet stream in the mid-troposphere. (2) The transfer of water vapor to southern Shandong via southwest low-level jet which also produced intense convergence center just above the sensitive area provided favorable water-vapor conditions for the occurrence of snowstorm. (3) The upper-level and the low-level jets were coupled. The positive vorticity advection in front of the trough lessened the pressure from low-level which caused its upward movement. It was conductive to the occurrence and development of snowstorm. (4) The southwest low-level jet and northerly winds had a convergence just over the southern area of Shandong. This was the main reason why the heavy snowfall concentrated in this region. (5) It was the strong cold air that made the rain turn to snow instantly, which also made the snow have a long duration. The above two reasons accounted for the occurrence of the extreme snowstorm. (6) The OLR analysis showed that the 3 hours average minimum center of OLR was closely related to the 3 hours maximum center of snowfall. The study on the characteristics of historical extreme snow process in south of Shandong province contributes to prediction ability of severe weather in the region, and is of tremendous importance to the disaster control and reduction.
HU Shunqi
,
CAO Zhangchi
,
CHEN Tao
. Diagnostic Analysis of a Historical Extreme Snow Process in South of Shandong Province[J]. Plateau Meteorology, 2017
, 36(4)
: 984
-992
.
DOI: 10.7522/j.issn.1000-0534.2016.00134
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