GAO Meng-xing,XIAO Tian-gui.Analysis of Rainstormon the Northeast Area of Sichuan Basin in September 13th based on Satellite Cloud Images[J].Journal of Chengdu University of Information Technology,2016,(01):102-109.
基于卫星云图对四川盆地东北部“9. 13冶暴雨特征分析
- Title:
- Analysis of Rainstormon the Northeast Area of Sichuan Basin in September 13th based on Satellite Cloud Images
- 文章编号:
- 2096-1618(2016)01-0102-08
- Keywords:
- atmospheric sciences; rainstorm diagnosis; FY-2E; the Northeast of Sichuan; infrared bright temperature ; water vapor light temperature
- 分类号:
- P407. 8
- 文献标志码:
- A
- 摘要:
- 针对2014 年9 月13 日发生于四川和重庆交界地区的暴雨过程进行分析,利用卫星云图资料以及地面加 密观测资料和NECP_FNL1毅伊1毅再分析格点资料对物理量场和环流背景场分析研究。得到此次强对流天气过程 是由中尺度对流云团的生成、发展及合并造成的,并在低空切变线和低空急流的共同作用下产生的强降水天气;此 次暴雨过程在川东北与重庆西地区有密集兹se 带,且处于CAPE 高值区,有不稳定能量堆积;处于水汽通量散度负值 区,为强降水提供了水汽条件;同时高层辐散、低层辐合的系统配置提供了动力条件。在卫星红外云图上可以清晰 看出中尺度对流系统的发生、发展及合并的过程,且暴雨落区与TBB臆-62 益的冷云覆盖范围相对应,TBB臆 -62 益冷云覆盖范围最大的时间段出现在小时降水最大值之后的1 h左右,且暴雨落区中心位于冷云区域的西南 方,降水过程发生在TBB 值变化率大值区即TBB 等值线密集区。同时在水汽云图中强对流天气发生在亮温低值 区域的对流云团中。
- Abstract:
- In view of the storm occurred in 13th September 2014 in the Sichuan, using the observation data and the NCEP_FNL reanalysis datathe storm process. The results indicate that: during the process of convective weather in northeastern Sichuan, the storm caused by the development and consolidation mesoscale convective cloud, the low shear line and the low-level jet together, which can provide a favorable environment for producing heavy precipitation condi- tion; northeastern Sichuan and western Chongqing are located in the 兹se dense band, and in the high CAPE area, as heavy rain provides unstable energy; vapor flux divergence is in the negative area, which providing the conditions of heavy precipitation; higher divergence and convergence in the lower configuration provided the dynamical conditions for the development of precipitation. The development and consolidation of the mesoscale convective systems can be viewed by infrared satellite imagery, and the heavy rainfall area is corresponding with the cold cloud TBB臆-62 益, and the maximum of TBB臆-62 益cold cloud coverage later than the rainfall maximum time, while heavy precipitation district located at the southwest side of cold clouds. recipitation occurs in the high TBB value change area. The convective weather is more prone to occur in the low brightness temperature clouds.
参考文献/References:
[1] 朱乾根,林锦瑞,寿绍文,等. 天气学原理和方法
[M]. 北京:气象出版社,2005:422-436.
[2] 郭荣芬,鲁亚斌,杨向东. 500hPa 反气旋环流下
滇中暴雨中尺度云团分析[J]. 气象科学,2005,
(3):280-287.
[3] 许健民,方宗义. 《卫星水汽图像和位势涡度场
在天气分析和预报中的应用》导读[ J]. 气象,
2008,(5):3-8.
[4] 方宗义,覃丹宇. 暴雨云团的卫星监测和研究进
展[J]. 应用气象学报,2006,(5):583-593.
[5] Forbes G S, Grant J R, Lilley R B E, et al. Ima-
ges in weather forecasting: A practical guide for
interpreting satellite and radar imagery [ M ].
Cambridge: Cambridge University Press, 1995.
[6] Griffith C G, Woodley W L, Grube P G, et al.
Rain estimation from geosynchronous satellite im-
agery-visible and infrared studies [ J]. Monthly
Weather Review, 1978, 106(8): 1153-1171.
[7] Stout J S, Martin D W, Sikdar D N. Estimating
GATE rainfall with geosynchronous satellite images [J]. Monthly Weather Review, 1979, 107(5):
585-598.
[8] 杜倩,覃丹宇,张鹏. 一次西南低涡造成华南暴
雨过程的FY-2 卫星观测分析[ J]. 气象,2013,
(7):821-831.
[9] 王莉萍,沈桐立,崔晓东,等. 一次冷涡暴雨的中
尺度对流云团分析及数值模拟研究[J]. 气象科
技,2006,(1):22-28.
[10] 王新敏,张霞,范学峰,何立富. 豫西突发性暴
雨成因[J]. 气象科技,2010,(1):15-20.
[11] 杨令,姚蓉,刘志雄,等. 湘中一次突发性大暴
雨过程分析[J]. 安徽农业科学,2011,39(31):
19463-19467.
[12] 傅昺珊. 风云2 号卫星云图在短时强对流天气
预报中的应用[J]. 气象科技,2004,(5):363-
366.
[13] 兰红平,张儒林. 用红外云图估测小区域雨强
及其在短时预报中的应用[J]. 热带气象学报,
2000,16(4):366-373.
[14] 卢乃锰,吴蓉璋. 强对流降水云团的云图特征
分析[J]. 应用气象学报,1997,8(3):269-275.
[15] 张驹,王敏,顾清源. 四川2006 年“9. 3冶暴雨过
程中TBB 与强降水对应关系分析[ J]. 四川气
象,2007,27(2):7-9.
[16] 陈晓红,胡雯,周扬帆,等. 2007 年汛期淮河流
域连续性大暴雨TBB 场分析[ J]. 气象,2009,
35(2):57-63.
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备注/Memo
收稿日期:2015-04-16 基金项目:国家自然科学基金资助项目(91337215);国家重点基础 研究发展计划973 资助项目(2012CB417202、2013CB733206);四川省科 技资助项目(2013JY0063)