Dou Xiankang
University of Science and Technology of China
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Featured researches published by Dou Xiankang.
Chinese Physics B | 2015
Zhao Ruocan; Xia Hai-Yun; Dou Xiankang; Sun Dong-Song; Han Yuli; Shangguan Mingjia; Guo Jie; Shu Zhi-Feng
A mobile Rayleigh Doppler lidar based on double-edge technique is implemented for simultaneously observing wind and temperature at heights of 15 km–60 km away from ground. Before the inversion of the Doppler shift due to wind, the Rayleigh response function should be calculated, which is a convolution of the laser spectrum, Rayleigh backscattering function, and the transmission function of the Fabry–Perot interferometer used as the frequency discriminator in the lidar. An analysis of the influence of the temperature on the accuracy of the line-of-sight winds shows that real-time temperature profiles are needed because the bandwidth of the Rayleigh backscattering function is temperature-dependent. An integration method is employed in the inversion of the temperature, where the convergence of this method and the high signal-to-noise ratio below 60 km ensure the accuracy and precision of the temperature profiles inverted. Then, real-time and on-site temperature profiles are applied to correct the wind instead of using temperature profiles from a numerical prediction system or atmosphere model. The corrected wind profiles show satisfactory agreement with the wind profiles acquired from radiosondes, proving the reliability of the method.
Chinese Physics Letters | 2010
Tang Lei; Wang Yong-Tao; Shu Zhifeng; Dong Jihui; Wang Guocheng; Xu Wenjing; Hu Dongdong; Chen Tingdi; Dou Xiankang; Sun Dong-Song; Cha Hyunki
A mobile molecular Doppler wind lidar (DWL) based on double-edge technique is presented for wind measurement at altitudes from 10km to 40km. A triple Fabry-Perot etalon is employed as a frequency discriminator to determine the Doppler shift proportional to the wind velocity. The lidar operates at 355 nm with a 45-cm aperture telescope and a matching azimuth-over-elevation scanner that can provide full hemispherical pointing. In order to guarantee the wind accuracy, different forms of calibration function of detectors in different count rates response range would be especially valuable. The accuracy of wind velocity iteration is improved greatly because of application of the calibration function of linearity at the ultra low light intensity especially at altitudes from 10km to 40km. The calibration functions of nonlinearity make the transmission of edge channel 1 and edge channel 2 increase 38.9% and 27.7% at about 1 M count rates, respectively. The dynamic range of wind field measurement may also be extended because of consideration of the response function of detectors in their all possible operating range.
Chinese Physics B | 2015
Shangguan Mingjia; Xia Hai-Yun; Dou Xiankang; Wang Chong; Qiu Jiawei; Zhang Yun-Peng; Shu Zhi-Feng; Xue Xianghui
A correction considering the effects of atmospheric temperature, pressure, and Mie contamination must be performed for wind retrieval from a Rayleigh Doppler lidar (RDL), since the so-called Rayleigh response is directly related to the convolution of the optical transmission of the frequency discriminator and the Rayleigh–Brillouin spectrum of the molecular backscattering. Thus, real-time and on-site profiles of atmospheric pressure, temperature, and aerosols should be provided as inputs to the wind retrieval. Firstly, temperature profiles under 35 km and above the altitude are retrieved, respectively, from a high spectral resolution lidar (HSRL) and a Rayleigh integration lidar (RIL) incorporating to the RDL. Secondly, the pressure profile is taken from the European Center for Medium range Weather Forecast (ECMWF) analysis, while radiosonde data are not available. Thirdly, the Klett–Fernald algorithms are adopted to estimate the Mie and Rayleigh components in the atmospheric backscattering. After that, the backscattering ratio is finally determined in a nonlinear fitting of the transmission of the atmospheric backscattering through the Fabry–Perot interferometer (FPI) to a proposed model. In the validation experiments, wind profiles from the lidar show good agreement with the radiosonde in the overlapping altitude. Finally, a continuous wind observation shows the stability of the correction scheme.
Chinese Physics Letters | 2004
Guo Jun; Lu Quan-Ming; Wang Shui; Wang Yuming; Dou Xiankang
A 2½-dimensional electromagnetic particle-in-cell (PIC) simulation code is used to investigate the wave phenomena in the plasma sheet of collisionless magnetic reconnection. The results show that these waves have the following characteristics: they are right-hand circularity polarized, with propagation direction nearly parallel to local magnetic field, and frequency between 0.07 and 0.17 times of local electron cyclotron frequency. Therefore we conclude that such waves are Whistler waves, and their possible excitation mechanisms are also discussed.
Chinese Astronomy and Astrophysics | 2004
Guo Jun; Lu Quan-Ming; Wang Shui; Dou Xiankang
Abstract Using two-dimensional full particle simulation, the process of magnetic reconnection in collisionless plasma is investigated and the velocity distributions of ions and electrons in various districts are obtained. As shown by the results of calculation, the Hall current produced by the different characters of electrons and ions in the diffusion region gives rise to a quadrupolar distribution of the y-component of the magnetic field, By. The velocity distributions of ions and electrons deviate from the initial Maxwell distributions, and exhibit nonlocal multiple distributions. At the same time, the electric field generated by the magnetic reconnection leads to the acceleration and heating of the electrons in the vicinity of the X-point. Hence a high-energy tail is formed in the energy spectral distribution of electrons.
Archive | 2014
Xia Haiyun; Zhao Ruocan; Dou Xiankang; Sun Dongsong; Shangguan Mingjia; Shu Zhifeng; Han Yuli
Archive | 2015
Xia Haiyun; Zhao Ruocan; Dou Xiankang; Sun Dongsong; Shangguan Mingjia; Shu Zhifeng; Han Yuli
Archive | 2014
Xia Haiyun; Dou Xiankang; Sun Dongsong; Hu Dongdong; Xue Xianghui; Chen Tingdi
Archive | 2015
Xia Haiyun; Shangguan Mingjia; Dou Xiankang; Wang Chong; Xue Xianghui
Archive | 2014
Xia Haiyun; Zhao Ruocan; Dou Xiankang; Sun Dongsong; Shangguan Mingjia; Shu Zhifeng; Han Yuli