A cold front precipitation process caused by low trough occurred in Hebei province on May 22, 2017. The Hebei weather modification office used an airborne particle measurement system to carry out five vertical soundings for the stratiform clouds with embedded convections developed in the eastern Taihang mountain. In this paper, the microphysical structure of stratiform clouds with embedded convections and the conditions for cloud seeding were both analyzed based on the data from aircraft observations, The meteorological radar in Shijiazhuang and the Ka-band cloud radar at Huangsi, Xingtai. The precipitation clouds were found in the southwesterly air current before the low trough as the stratiform clouds with embedded convections were composed of both cold and warm clouds. Our results showed that the clouds were thicker than 5 km and the thicknesses of warm and cold clouds were greater than 2 km and 3 km respectively. The height of 0℃ layer was located at 3577~4004 m, while the temperature at the bottom and top of the clouds were 15.4℃ and -17℃ respectively. A 45 dBZ radar reflectivity was detected indicating as the strongest echo of convection bubble within the clouds. However, to carry out cloud seeding, the strongest radar echo should be less than 40 dBZ and in the seeding area of convective stratiform clouds above 4000 m the radar echo should be less than 30 dBZ. The supercooled water was found in the upper-middle layers of the cold cloud above 5000 m with a content of 0.2 g·m-3. This supercooled water content would be 2~4 times richer than that of stable stratiform clouds would contain. Besides, abundant supercooled water was observed along the initial and development stage of convective bubbles. Since this layer was the key area for ice crystal growth and the temperature varied from -15℃ to -5℃, this cloud was suitable for seeding.
SUN Yuwen
,
DONG Xiaobo
,
LI Baodong
,
DUAN Ying
,
HU Xiangfeng
,
YANG Yang
,
Lü Feng
,
FAN Rong
,
KANG Zengmei
,
WANG Jianheng
,
ZHAO Xiaowei
,
YANG Yongsheng
,
FAN Hao
,
LI Dejun
. The Physical Properties and Seeding Potential Analysis of a Low Trough Cold Front Cloud System at Mountain Taihang based on Aircraft Observations[J]. Plateau Meteorology, 2019
, 38(5)
: 971
-982
.
DOI: 10.7522/j.issn.1000-0534.2018.00112
[1]Evans A G, Locatelli J D, Stoelinga M T, et al, 2005. The IMPROVE-1storm of l-2 February 2001. Part Ⅱ:C1oud structures and the growth precipitation[J]. Journal of the Atmospheric Sciences, 62(10):3456-3473.
[2]Frederic F, Zawadzki I, Cohn S, 1993. The influence of stratiform precipitation on shallow convective rain:A case study[J]. Monthly Weather Review, 121(12):3312-3325.
[3]Herzegh P H, Hobbs P V, 1980. The mesoscale and microscale structure and organization of clouds and precipitation in midlatitude cyclones. Ⅱ:warm-frontal clouds[J]. Journal of the Atmospheric Sciences, 37:597-611.
[4]Hobbs P V, Rangno A L, 1990. Rapid development of high ice particle concentrations in small polar maritime cumuliform clouds[J]. Journal of the Atmospheric Sciences, 47(22):2710-2722.
[5]Hobbs P V, Locatelli J D, 1978. Rainbands, precipitation cores and generating cells in a cyclonic storm[J]. Journal of the Atmospheric Sciences, 35(2):230-241.
[6]Houze R A Jr, Rutledge S A, Matejka T J, et al, 1981. The mesoscale and microscale structure and organization 0f clouds and precipitation in midlatitude cyclones. Ⅲ:Air motions and precipitation growth in a warm-frontal rainband[J]. Journal of the Atmospheric Sciences, 38(3):639-649.
[7]Matejka T J, Houze R A Jr, Hobbs P V, 1980. Microphysics and dynamics of clouds associated with mesoscale rainbands in extratropical cyclones[J]. Quarterly Journal of the Royal Meteorological Society, 106(447):29-56.
[8]Rutledge S A, Hobbs P, 1983. The mesoscale and microscale structure and organization of clouds and precipitation in midlatitude cyclones. Ⅷ:A model for the "seeder-feeder" process in warm-frontal rainbands[J]. Journal of the Atmospheric Sciences, 40(5):1185-1206.
[9]党娟, 刘卫国, 陶玥, 2016.一次降水性层积云系的微物理特征分析[J].高原气象, 35(6):16939-1649. DOI:10.7522/j.issn.1000-0534.2015.00104.
[10]洪延超, 1996a.积层混合云数值模拟研究(Ⅰ)-模式及其微物理过程参数化[J].气象学报, 54(5):544-557.
[11]洪延超, 1996b.积层混合云数值模拟研究(Ⅱ)-云相互作用及暴雨产生机制[J].气象学报, 54(6):661-674.
[12]黄美元, 洪延超, 吴玉霞, 1987a.梅雨锋云系和降水的若干研究[J].大气科学, 11(1):23-30.
[13]黄美元, 洪延超, 徐华英, 等, 1987b.层状云对积云发展和降水的影响-一种云与云之间影响的数值模拟[J].气象学报, 45(1):72-77.
[14]栾澜, 孟宪红, 吕世华, 等, 2017.青藏高原一次对流降水模拟中边界层参数化和云微物理的影响研究[J].高原气象, 36(2):283-293. DOI:10.7522/j.issn.1000-0534.2016.00086.
[15]师宇, 楼小凤, 单云鹏, 等, 2017.北京地区一次降雪过程的人工催化数值模拟研究[J].高原气象, 36(5):1276-1289. DOI:10.7522/j.issn.1000-0534.2016.00116.
[16]孙玉稳, 李宝东, 刘伟, 等, 2015.河北秋季层状云物理结构及适播性分析[J].高原气象, 34(1):237-250. DOI:10.7522/j.issn.1000-0534.2013.00172.
[17]孙玉稳, 银燕, 孙霞, 等, 2017.冷云催化宏微观物理响应的探测与研究[J].高原气象, 36(5):1290-1303. DOI:10.7522/j.issn.1000-0534.2016.00113.
[18]陶玥, 李军霞, 党娟, 等, 2015.北京一次积层混合云系结构和水分收支的数值模拟分析[J].大气科学, 39(3):445-460.
[19]朱士超, 郭学良, 2015.华北一次积层混合云微物理和降水特征的数值模拟与飞机观测对比研究[J].大气科学, 39(2):370-384.
