A three-dimensional WRF-based precipitation equation and its application in the analysis of roles of surface evaporation in a torrential rainfall event
A three-dimensional WRF-based precipitation equation and its application in the analysis of roles of surface evaporation in a torrential rainfall event
复制标题
基于WRF的三维降水方程及其在暴雨过程中地表蒸发作用分析中的应用
DOI:
10.1016/j.atmosres.2015.09.026
复制
发表时间:
2016-03
影响因子:
5.5
通讯作者:
Xiaofan Li
中科院分区:
文献类型:
--
作者:
Yongjie Huang;Xiaopeng Cui;Xiaofan Li
Based on the governing equations for water species in the Weather Research and Forecasting (WRF) model, a three-dimensional WRF-based surface precipitation equation was obtained and applied to investigate the surface rainfall processes of a torrential rain event. Sensitivity experiments were performed to further explore roles of surface evaporation in the heavy rainfall event. The results show that the contributions of moisture-related processes to precipitation (QWV, including water vapor local change (QWVL), surface evaporation (QWVE), moisture advection (QWVA), and so on) dominate the torrential rain event, while the contributions of cloud-related processes (QCM) also play indispensable roles whose maximum net contributions could exceed 20%.QWVAdominates the budget of water vapor, whileQWVLandQWVEplay smaller but by no means negligible roles in the event. Sensitivity experiments show that the changes of surface evaporation affect both moisture-related processes and cloud-related processes, and then influence the intensity and regional redistribution of precipitation. Surface evaporation favors the accumulation of convective available potential energy and enhances the instability of atmosphere, being prone to the development of convective systems. Meanwhile, it also affects the development of vertical motions and cloud systems. Thus accurate estimation of surface evaporation is necessary for accurate simulation and forecast of surface precipitation.
登录
查看更多内容
影响因子:
5.5
作者:
Xinyong Shen;Yi Wang;Xiaofan Li
通讯作者:
Xinyong Shen;Yi Wang;Xiaofan Li
影响因子:
8.9
作者:
Xinyong Shen;Yi Wang;Xiaofan Li
通讯作者:
Xinyong Shen;Yi Wang;Xiaofan Li
影响因子:
3.1
作者:
Fu, Danhong;Guo, Xueliang
通讯作者:
Guo, Xueliang
影响因子:
3.1
作者:
T. Tsuda;T. Inoue;S. Kato;S. Fukao;D. Fritts;T. Vanzandt
通讯作者:
T. Tsuda;T. Inoue;S. Kato;S. Fukao;D. Fritts;T. Vanzandt
影响因子:
3.2
作者:
J. Srinivasan;G. Smith
通讯作者:
J. Srinivasan;G. Smith