Jiening Liang
Ministry of Education
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Featured researches published by Jiening Liang.
Journal of Geophysical Research | 2014
Jiening Liang; Lei Zhang; Ying Wang; Xianjie Cao; Qiang Zhang; Hongbin Wang; Beidou Zhang
To gain an insight into the characteristics of turbulence in a stable boundary layer over the complex terrain of the Loess Plateau, data from the Semi-Arid Climate and Environment Observatory of Lanzhou University are analyzed. We propose a method to identify and efficiently isolate nonstationary motions from turbulence series, and then we examine the characteristics of nonstationary motions (nonstationary motions refer to gusty events on a greater scale than local shear-generated turbulence). The occurrence frequency of nonstationary motions is found to depend on the mean flow, being more frequent in weak wind conditions and vanishing when the wind speed, U, is greater than 3.0 ms(-1). When U exceeds the threshold value of 1.0 ms(-1) for the gradient Richardson number Ri 0.3, local shear-generated turbulence on timescales of less than 4min depends systematically on U with an average rate of 0.05 U. However, for the weak wind condition, neither the mean wind speed nor the stability is an important factor for local turbulence. Then turbulence is categorized into three regimes based on the behaviors of nonstationary motions and local turbulence. Regime 1 considers stationary turbulence with a wind speed greater than 3.0 ms(-1), and the Monin-Obukhov similarity theory (MOST) can be used to calculate the turbulence momentum flux. Regime 2 examines intermittent turbulence where the MOST is competent to evaluate the local turbulence momentum flux but not nonstationary motions. Regime 3 involves wind speed that is less than the threshold value, where nonstationary motions are dominant, local turbulence is independent of the mean flow, and where the MOST may well be invalid.
Journal of the Atmospheric Sciences | 2018
Pengfei Tian; Lei Zhang; Xianjie Cao; Naixiu Sun; Xinyue Mo; Jiening Liang; Xuetao Li; Xingai Gao; Beidou Zhang; Hongbin Wang
AbstractThe current understanding of the climate effects of mixed-type aerosols is an open question. The optical and radiative properties of the anthropogenic, mixed-type, and dust aerosols were studied using simultaneous observations of a sun photometer and a depolarization lidar over the Semi-Arid Climate and Environment Observatory of Lanzhou University (SACOL), northwestern China. The aerosol radiative effect was calculated using the Santa Barbara DISORT Atmospheric Radiative Transfer (SBDART) model and was in good agreement with the Aerosol Robotic Network (AERONET) product. The anthropogenic, mixed-type, and dust aerosols were identified mainly based on the lidar-measured depolarization ratio, which was supported by the airmass back trajectories. The mixed-type aerosols exhibit lower (higher) extinctions below (above) 1.5 km above the ground, indicating anthropogenic pollution from the atmospheric boundary layer and dust aerosols above. The dust aerosols exhibit the highest absolute radiative effect...
Journal of Geophysical Research | 2017
Guanghui Yuan; Lei Zhang; Jiening Liang; Xianjie Cao; Qi Guo; Zhaohong Yang
To assess the impacts of initial soil moisture (SMOIS) and the vegetation fraction (Fg) on the diurnal temperature range (DTR) in arid and semiarid regions in China, three simulations using the weather research and forecasting (WRF) model are conducted by modifying the SMOIS, surface emissivity and Fg. SMOIS affects the daily maximum temperature (Tmax) and daily minimum temperature (Tmin) by altering the distribution of available energy between sensible and latent heat fluxes during the day and by altering the surface emissivity at night. Reduced soil wetness can increase both the Tmax and Tmin, but the effect on the DTR is determined by the relative strength of the effects on Tmax and Tmin. Observational data from the Semi-Arid Climate and Environment Observatory of Lanzhou University (SACOL) and the Shapotou Desert Research and Experimental Station (SPD) suggest that the magnitude of the SMOIS effect on the distribution of available energy during the day is larger than that on surface emissivity at night. In other words, SMOIS has a negative effect on the DTR. Changes in Fg modify the surface radiation and the energy budget. Due to the depth of the daytime convective boundary layer, the temperature in daytime is affected less than in nighttime by the radiation and energy budget. Increases in surface emissivity and decreases in soil heating resulting from increased Fg mainly decrease Tmin, thereby increasing the DTR. The effects of SMOIS and Fg on both Tmax and Tmin are the same, but the effects on DTR are the opposite.
Optics Communications | 2014
Pengfei Tian; Xianjie Cao; Jiening Liang; Lei Zhang; Nana Yi; Liying Wang; Xiaoping Cheng
Journal of Quantitative Spectroscopy & Radiative Transfer | 2013
Hongbin Wang; Lei Zhang; Xianjie Cao; Zhiwei Zhang; Jiening Liang
Atmospheric Research | 2016
Xia Li; Lei Zhang; Xianjie Cao; Jiannong Quan; Tianhe Wang; Jiening Liang; Jinsen Shi
Atmospheric Pollution Research | 2014
Xianjie Cao; Jiening Liang; Pengfei Tian; Lei Zhang; Xiaojing Quan; Weiping Liu
Journal of Geophysical Research | 2014
Jiening Liang; Lei Zhang; Ying Wang; Xianjie Cao; Qiang Zhang; Hongbin Wang; Beidou Zhang
Atmospheric Chemistry and Physics | 2018
Pengfei Tian; Lei Zhang; Jianmin Ma; Kai Tang; Lili Xu; Yuan Wang; Xianjie Cao; Jiening Liang; Yuemeng Ji; Jonathan H. Jiang; Yuk L. Yung; Renyi Zhang
Journal of Geophysical Research | 2017
Guanghui Yuan; Lei Zhang; Jiening Liang; Xianjie Cao; Qi Guo; Zhaohong Yang