Climatological Characteristics of Different Type Heavy Snowfall Weather in Jilin during 1961-2010
The spatial and temporal distribution characteristcs and topographic effect of different types heavy snowfall are analyzed with the daily precipitation data in Jilin in winter (October to March in next year) during 1961-2010.The influence system and it's vertical structure of various types heavy snowfall are analyzed in the same time.The results show that (1) There is high interannual variability and obvious stage change characteristics in temporal distribution of heavy snowfall that mainly occurred in late autumn and early winter(October and November) or between winter and spring (March),and those interannual variability and trend of decadal variation was consistent with the trend of temperature variation in winter.(2) Heavy snowfall Ⅰ most in March which is regional or large range snow,but heavy snowfall Ⅱ most in October.(3) There is large difference of spatial distribution and obvious regional features of heavy snowfall which occurred in the windward slope of Changbai Mountain and mountain area was significantly more than in the leeward slope of Daxing'anling Mountains and plain areas by the interactioninteraction of weather systems and the Changbai Mountains.(4) The high altitude effects system of heavy snowfall was the most in upper trough,followed by cold vortex,and the least in the shear.(5) Affected by upper trough,surface system of local heavy snowfall is more in cyclone inverted trough,but regional and widespread heavy snowfall is more in Huabei and Jianghuai cyclone.Affected by the high altitude cold vortex,surface system of local is first at Mongolia cyclone,regional and large-scale heavy snowfall is most in cyclone inverted trough.(6) In terms of the ground system,the heavy snowfall Ⅰ is most in Huabei cyclone,but the heavy snowfall Ⅱ is most in Mongolia cyclone that are regional and widespread heavy snowfall.
Heavy snowfall in type ⅠHeavy snowfall in type ⅡClimatological characteristicsInfluence systemTopographic influence
NETL
NSTL
万方数据
维普
