Numerical Simulation and Diagnosis of a Precipitation in Qilian Mountains under the Coupling of Upper and Lower Systems
Received date: 2022-08-22
Revised date: 2022-10-11
Online published: 2023-09-26
Based on ERA5 reanalysis data and CLDAS land grid precipitation data from the National Meteorological Information Center, a systematic WRF numerical simulation and precipitation mechanism diagnosis of a typical systematic precipitation process in the Qilian Mountains are carried out in this paper.The dynamic diagnosis results of the circulation background field show that the interaction between the mesoscale upper trough system and the local lower flow around and flow over provides important dynamic conditions.The mesoscale dynamic uplift in front of the trough caused by the development of the upper trough determines the distribution of the heavy precipitation belt during the precipitation process, while the lower flow around and flow over provide direct dynamic conditions for local heavy precipitation.The further diagnosis results of water vapor transport and budget show that the water vapor source of this precipitation mainly comes from the Sichuan Basin.The flow around will transport abundant water vapor for the precipitation area in front of the windward slope, and the flow over will promote the reverse gradient transport of water vapor along the terrain height and converge near the precipitation center.In the stage of heavy precipitation, the vertical transport of water vapor contributes the most to the water vapor budget, followed by the convergence of water vapor, and the local variation of water vapor can be basically ignored.Finally, the diagnostic results of atmospheric stratification characteristics show that when both atmospheric dynamic conditions and water vapor conditions are conducive to precipitation, combined with the enhancement of the instability of low and medium tropospheric stratification, it is easier to trigger convection and enhance precipitation in front of the windward slope.
Qiang JIANG , LinBo WEI , Chao LI , Yan LI , HongYu WANG . Numerical Simulation and Diagnosis of a Precipitation in Qilian Mountains under the Coupling of Upper and Lower Systems[J]. Plateau Meteorology, 2023 , 42(5) : 1298 -1310 . DOI: 10.7522/j.issn.1000-0534.2022.00096
null | |
null | |
null | |
null | |
null | |
null | |
null | |
null | |
null | |
null | |
null | |
null | |
null | |
null | |
null | |
null | |
null | 陈少勇, 石光普, 董安祥, 等, 2010.祁连山层状云的时空分布及其环流特征分析[J].中国沙漠, 30(4): 946-953. |
null | 段海霞, 刘新伟, 2008.祁连山区降水云微物理过程的模拟研究[C]//.中国气象学会2008年年会干旱与减灾——第六届干旱气候变化与减灾学术研讨会分会场论文集.465-477. |
null | 黄波, 2012.祁连山地区降水的时空分布特征及数值模拟研究[D].兰州大学. |
null | 姜润, 巩远发, 袁源, 等, 2021.青藏高原冬季1月绕流的变化特征及其对中国气候的影响[J].大气科学, 45(6): 1313-1326. |
null | |
null | 刘和斌, 李育, 张新中, 等, 2020.祁连山东西段不同时间尺度气候差异研究[J].兰州大学学报(自然科学版), 56(06): 724-732. |
null | 邵元亭, 刘奇俊, 荆志娟, 2013.祁连山夏季地形云和降水宏微观结构的数值模拟[J].干旱气象, 31(1): 18-23. |
null | 孙美平, 史继花, 姚晓军, 等, 2021.冰川下垫面对夏季云结构和云水含量的影响——以祁连山区疏勒南山为例[J].干旱区地理, 44(1): 141-148. |
null | 王婧羽, 崔春光, 王晓芳 等, 2014.2012年7月21日北京特大暴雨过程的水汽输送特征[J].气象, 40(2): 133-145. |
null | 薛健, 李宗省, 李宗杰, 等, 2021.基于TRMM数据的祁连山大气降水时空分布特征[J].水土保持研究, 28(1): 204-210. |
null | 尹宪志, 王毅荣, 罗汉, 等, 2020.1960-2019年甘肃大气水更新与地面降水空间分布的关系[J].中国沙漠, 40(6): 61-70. |
null | 叶笃正, 高由禧, 1979.青藏高原气象学[M].北京: 科学出版社. |
null | 朱乾根, 林锦瑞, 寿绍文, 2000.天气学原理和方法[M].北京: 气象出版社, 320-343. |
null | 周小刚, 王秀明, 陶祖钰, 2013.准地转理论基本问题回顾与讨论[J].气象, 39(4): 401-409. |
null | 朱飙, 张强, 卢国阳, 等, 2019.祁连山区空中水汽分布特征及变化趋势分析[J].高原气象, 38(5): 935-943.DOI: 10.7522/j.issn.1000-0534.2019.00047 . |
null | 张小明, 魏锋, 陆燕, 2006.祁连山近45a年降水异常的气候特征[J].干旱气象 (3): 35-41. |
null | 张大林, 1998.各种非绝热物理过程在中尺度模式中的作用[J].大气科学, 22(4): 548-561. |
null | 张耀存, 钱永甫, 1999.青藏高原隆升作用于大气临界高度的数值研究[J].气象学报, 57(2): 157-167. |
/
〈 |
|
〉 |