Based on the wind vertical profile data observed by Doppler radar (SA) and wind profile radar (TWP8-L) over Chongqing, China during 2013, the characteristics and evolution of wind profiles under four different weather conditions (i.e., clear sky, light rainfall, moderate rainfall and heavy rainfall) have been studied. The main results show that:(1) Under the weather condition of clear sky or light rainfall, the moisture condition is so weak that the wind vertical profiles observed by Doppler radar are mostly identified as "ND" (No Data) and wind speeds (directions) observed by wind profile radar are weak (ill-organized). Meanwhile, the observed vertical wind shears are weak and ill-organized as well, unfavorable for the development and maintenance of convection systems; (2) As for moderate rainfall, precipitation property is dispersed with weak hourly accumulated precipitation amount. The wind directions in lower levels are ill-organized, while consistent southwesterlies prevail over the middle-upper levels with unified directions of vertical wind shears. All the above conditions are favorable for the development and persistence of convection systems; (3) As for heavy rainfall, the wind vertical profiles observed by Doppler radar present good consistency with those observed by those by the wind profile radar. During the period preceding the heavy rainfall events, the easterlies at the lower level gradually change to westerlies at the higher level. Such change favors to trigger convection activity. During the precipitation period, the vertical wind shears with consistent directions and the low-level jets prevailing at the lower-middle levels favor the maintenance of convection systems. At the end of precipitation events, the decreased wind speeds and northerlies at the lower-middle levels lead to disperse of the convection systems.
DONG Xinning
,
FANG Dexian
,
ZHOU Guobing
,
WU Zheng
,
ZHANG Yong
,
HUANG Anning
. Comparison and Application of Two Kinds Vertical Wind Profile Data Part Ⅰ:Consistency Analysis[J]. Plateau Meteorology, 2017
, 36(3)
: 788
-800
.
DOI: 10.7522/j.issn.1000-0534.2016.00043
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