Vertical distribution of aerosols in dust storms during the Arctic winter
Pavla Dagsson‐WaldhauserováJean‐Baptiste RenardHaraldur ÓlafssonDamien VignellesGwenaël BerthetNicolas VerdierVincent Duverger
3
Citation
1
Reference
10
Related Paper
Citation Trend
Keywords:
Dust storm
Middle latitudes
Winter storm
Dust storm
Cite
Citations (0)
The droplet spectrum variation characteristics and snow depth forecast of the two snowstorms in14-15 December 2010 and 20-22 January 2012 are studied by using Thies Clima laser precipitation monitor(TCLPM) and artificial observation data from Danjiangkou Station.The results show that;(1) the TCLPM can automatically identify the precipitation phase state.Combined with surface artificial dense observations,the temperature higher than 0.7℃ is for precipitation phase state,less than 0.7℃ is for sleet,below-0.5℃ is for pure snow.At the same time,when the surface temperature is below 0.5℃,snow begins to accumulate.The surface wind speeds in the two processes are relatively slow,conducive to snow accumulation on the ground;(2) the TCLPM can monitor the variation of droplet spectrum characteristics of heavy snowfall weather,the echo intensity(Z),average diameter(D_m),water content(W),snowfall particle number concentration(N) which increases with the enhancement of snowfall intensity.During the two snowstorm events,there are different levels of positive correlations among D_m,Z,N,W and VSD,better correlation between W and VSD,respectively reaching 0.844 and 0.926;(3) Selecting the first-order fitting snow particles in water content W and surface snow rate,the snow rate forecast equation is derived compare surface snow rate forecast(VSDF) in the pure snow stage and the surface snow depth forecasts(SDF) to VSD,SD retrieved with the observation data by TCLPM it is found that they are very close,indicating this method can be used to estimate VSD and SD on the surface snow rate and snow depth,which can reflect the main time period with quick increase of surface snow.
Winter storm
Intensity
Liquid water content
Snowflake
Cite
Citations (0)
Based on the data of dust-storm for thirty years and the experienced orthogonal decomposition method, the occurring regularity of dust-storm in Heilongjiang Province was analyzed. Some essential understandings have been obtained as follows: the frequently occurring center of dust-storm is in southwest areas of Heilongjiang Province;1970′s displayed the most frequent dust-storm times and its peak was in 1970-1975; 90% of the dust-storm occurred in spring. It has been found that the biggest scope of dust-storm is in 1970′s and the smallest scope is in 1990′s, but the dust-storm intensity has been getting strongly. The spatial distribution of the dust-storm is similar for years with different amount and the amount of dust-storm in south areas is more than that in north areas, and it is right on the contrary.
Dust storm
Cite
Citations (0)
Sand-dust storm is one of the most serious eco-environmental issues in Xinjiang. In order to dynamically and timely monitor the formation and development of dust storm, it's necessary to set up a network system for dust storm monitoring. And this monitoring network system is of benefit to promoting the sustainable development of eco-environment and social-economy in Xinjiang. This paper discussed the purposes, significances meanings and the forms of dust storm monitoring network in Xinjiang.
Dust storm
Cite
Citations (0)
Winter storm
Cite
Citations (9)