Yuewei Liu
National Center for Atmospheric Research
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Publication
Featured researches published by Yuewei Liu.
Journal of Advances in Modeling Earth Systems | 2015
Lin-Lin Pan; Yubao Liu; Yuewei Liu; Lei Li; Yin Jiang; William Y. Y. Cheng; Gregory Roux
This study investigates the impact of four-dimensional data assimilation (FDDA) on urban climate analysis, which employs the NCAR (National Center for Atmospheric Research) WRF (the weather research and forecasting model) based on climate FDDA (CFDDA) technology to develop an urban-scale microclimatology database for the Shenzhen area, a rapidly developing metropolitan located along the southern coast of China, where uniquely high-density observations, including ultrahigh-resolution surface AWS (automatic weather station) network, radio sounding, wind profilers, radiometers, and other weather observation platforms, have been installed. CFDDA is an innovative dynamical downscaling regional climate analysis system that assimilates diverse regional observations; and has been employed to produce a 5 year multiscale high-resolution microclimate analysis by assimilating high-density observations at Shenzhen area. The CFDDA system was configured with four nested-grid domains at grid sizes of 27, 9, 3, and 1 km, respectively. This research evaluates the impact of assimilating high-resolution observation data on reproducing the refining features of urban-scale circulations. Two experiments were conducted with a 5 year run using CFSR (climate forecast system reanalysis) as boundary and initial conditions: one with CFDDA and the other without. The comparisons of these two experiments with observations indicate that CFDDA greatly reduces the model analysis error and is able to realistically analyze the microscale features such as urban-rural-coastal circulation, land/sea breezes, and local-hilly terrain thermal circulations. It is demonstrated that the urbanization can produce 2.5 k differences in 2 m temperatures, delays/speeds up the land/sea breeze development, and interacts with local mountain-valley circulations.
Journal of Geophysical Research | 2017
Haoliang Wang; Yubao Liu; William Y. Y. Cheng; Tianliang Zhao; Mei Xu; Yuewei Liu; Si Shen; Kristin M. Calhoun; Alexandre O. Fierro
In this study, a lightning data assimilation (LDA) scheme was developed and implemented in the NCAR (National Center for Atmospheric Research) Weather Research and Forecasting – Real-Time Four-Dimensional Data assimilation (WRF-RTFDDA) system. In this LDA method, graupel mixing ratio (qg) is retrieved from observed total lightning. To retrieve qg on model grid-boxes, column-integrated graupel mass is first calculated using an observation-based linear formula between graupel mass and total lightning rate. Then the graupel mass is distributed vertically according to the empirical qg vertical profiles constructed from model simulations. Finally, a horizontal spread method is utilized to consider the existence of graupel in the adjacent regions of the lightning initiation locations. Based on the retrieved qg fields, latent heat is adjusted to account for the latent heat releases associated with the formation of the retrieved graupel and to promote convection at the observed lightning locations, which is conceptually similar to the method developed by Fierro et al. Three severe convection cases were studied to evaluate the LDA scheme for short-term (0 – 6 h) lightning and precipitation forecasts. The simulation results demonstrated that the LDA was effective in improving the short-term lightning and precipitation forecasts by improving the model simulation of the qg fields, updrafts, cold pool and front locations. The improvements were most notable in the first two hours, indicating a highly desired benefit of the LDA in lightning and convective precipitation nowcasting (0 – 2 h) applications.
Journal of Wind Engineering and Industrial Aerodynamics | 2011
Yubao Liu; Thomas T. Warner; Yuewei Liu; Claire Louise Vincent; Wanli Wu; Bill Mahoney; Scott P. Swerdlin; Keith Parks; Jennifer Boehnert
Archive | 2011
Keith Parks; Yih-Huei Wan; Yubao Liu; Barbara G. Brown; William Y. Y. Cheng; Arnaud Dumont; John Exby; Tressa L. Fowler; Kent Goodrich; Sue Ellen Haupt; Thomas M. Hopson; David Johnson; Brice Lambi; Seth Linden; Yuewei Liu; Bill Mahoney; Luca Delle Monache; William Loring Myers
Renewable Energy | 2013
William Y. Y. Cheng; Yubao Liu; Yuewei Liu; Yongxin Zhang; William P. Mahoney; Thomas T. Warner
Advances in Geosciences | 2008
Andrea N. Hahmann; Dorita Rostkier-Edelstein; Thomas T. Warner; Yuewei Liu; Francois Vandenberghe; Scott P. Swerdlin
Journal of Geophysical Research | 2018
Haoliang Wang; Yubao Liu; Tianliang Zhao; Yuewei Liu; Mei Xu; Si Shen; Yin Jiang; Honglong Yang; Shuanglei Feng
Atmospheric Research | 2018
Yongjie Huang; Yubao Liu; Mei Xu; Yuewei Liu; Lin-Lin Pan; Haoliang Wang; Will Y.Y. Cheng; Ying Jiang; Hongping Lan; Honglong Yang; Xiaolin Wei; Rong Zong; Chuanyan Cao
Atmospheric Research | 2018
Haoliang Wang; Yubao Liu; Tianliang Zhao; Mei Xu; Yuewei Liu; Fengxia Guo; William Y. Y. Cheng; Shuanglei Feng; Edward R. Mansell; Alexandre O. Fierro
Journal of Geophysical Research | 2017
Haoliang Wang; Yubao Liu; William Y. Y. Cheng; Tianliang Zhao; Mei Xu; Yuewei Liu; Si Shen; Kristin M. Calhoun; Alexandre O. Fierro
Collaboration
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Nanjing University of Information Science and Technology
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