Xugui Xia
Chinese Academy of Sciences
Network
Latest external collaboration on country level. Dive into details by clicking on the dots.
Publication
Featured researches published by Xugui Xia.
Journal of Geophysical Research | 2010
Thomas F. Eck; Brent N. Holben; Aliaksandyr Sinyuk; R. T. Pinker; Philippe Goloub; H. Chen; B. Chatenet; Zhanqing Li; Ramesh P. Singh; S. N. Tripathi; Jeffrey S. Reid; David M. Giles; Oleg Dubovik; Norman T. O'Neill; A. Smirnov; P. Wang; Xugui Xia
[1] Aerosol mixtures composed of coarse mode desert dust combined with fine mode combustion generated aerosols (from fossil fuel and biomass burning sources) were investigated at three locations that are in and/or downwind of major global aerosol emission source regions. Multiyear monitoring data at Aerosol Robotic Network sites in Beijing (central eastern China), Kanpur (Indo-Gangetic Plain, northern India), and Ilorin (Nigeria, Sudanian zone of West Africa) were utilized to study the climatological characteristics of aerosol optical properties. Multiyear climatological averages of spectral single scattering albedo (SSA) versus fine mode fraction (FMF) of aerosol optical depth at 675 nm at all three sites exhibited relatively linear trends up to ~50% FMF. This suggests the possibility that external linear mixing of both fine and coarse mode components (weighted by FMF) dominates the SSA variation, where the SSA of each component remains relatively constant for this range of FMF only. However, it is likely that a combination of other factors is also involved in determining the dynamics of SSA as a function of FMF, such as fine mode particles adhering to coarse mode dust. The spectral variation of the climatological averaged aerosol absorption optical depth (AAOD) was nearly linear in logarithmic coordinates over the wavelength range of 440-870 nm for both the Kanpur and Ilorin sites. However, at two sites in China (Beijing and Xianghe), a distinct nonlinearity in spectral AAOD in logarithmic space was observed, suggesting the possibility of anomalously strong absorption in coarse mode aerosols increasing the 870 nm AAOD.
Journal of Geophysical Research | 2007
Zhanqing Li; H. Chen; Maureen Cribb; Russell R. Dickerson; Brent N. Holben; Can Li; D. Lu; Y. Luo; Hal Maring; Guangyu Shi; Si-Chee Tsay; P. Wang; Yu-Tu Wang; Xugui Xia; Youfei Zheng; Tianle Yuan; Fengsheng Zhao
daily mean surface solar radiation by � 30–40 W m � 2 , but barely changed solar reflection at the top of the atmosphere. Aerosol loading, particle size and composition vary considerably with location and season. The MODIS AOD data from Collection 5 (C5) agree much better with ground data than earlier releases, but considerable discrepancies still exist because of treatments of aerosol SSA and surface albedo. Four methods are proposed/adopted to derive the SSA by means of remote sensing and in situ observation,
ACS Applied Materials & Interfaces | 2012
Jikun Chen; Xuchun Gui; Zewei Wang; Zhen Li; Rong Xiang; Kunlin Wang; Dehai Wu; Xugui Xia; Yanfei Zhou; Qun Wang; Zikang Tang; Lidong Chen
Electrical and thermal transportation properties of a novel structured 3D CNT network have been systematically investigated. The 3D CNT net work maintains extremely low thermal conductivity of only 0.035 W/(m K) in standard atmosphere at room temperature, which is among the lowest compared with other reported CNT macrostructures. Its electrical transportation could be adjusted through a convenient gas-fuming doping process. By potassium (K) doping, the original p-type CNT network converted to n-type, whereas iodine (I(2)) doping enhanced its electrical conductivity. The self-sustainable homogeneous network structure of as-fabricated 3D CNT network made it a promising candidate as the template for polymer composition. By in situ nanoscaled composition of 3D CNT network with polyaniline (PANI), the thermoelectric performance of PANI was significantly improved, while the self-sustainable and flexible structure of the 3D CNT network has been retained. It is hoped that as-fabricated 3D CNT network will contribute to the development of low-cost organic thermoelectric area.
Journal of Applied Physics | 2009
Y. L. Li; J.J. Li; Xugui Xia; C. Lu; Hai-Jun Jin; C.Z. Gu
In this article, the direct experimental evidences to determine the effect of grain boundary on local surface conductivity (SC) of diamond films were provided by the measurement using double probe scanning electron microscopy (SEM) technology. Undoped diamond films with (001) orientation were first grown by microwave plasma enhanced chemical vapor deposition and were then hydrogenated at different conditions for SC measurement. In the SEM system, double probes with tiny tip radius severed as two leads were moved along and contacted with the diamond film surface to directly test the local SC of diamond film. The surface electrical property results indicate that for the same distance between the two probes, the local SC of the area across grain boundary is much higher than that of area without grain boundary for the same duration of hydrogenation degrees. In addition, local SC of the area between the two probes increases with the number of grain boundaries in this area, which demonstrates that the grain bou...
Journal of Geophysical Research | 2018
T. F. Eck; Brent N. Holben; Jeffrey S. Reid; Peng Xian; David M. Giles; A. Sinyuk; A. Smirnov; J. S. Schafer; I. Slutsker; Ju-Hye Kim; J.‐H. Koo; M. Choi; K. C. Kim; Itaru Sano; Antti Arola; A. M. Sayer; Robert C. Levy; L. A. Munchak; N. T. O'Neill; Alexei Lyapustin; N. C. Hsu; C. A. Randles; A. da Silva; Virginie Buchard; R. C. Govindaraju; E. J. Hyer; J. H. Crawford; P. Wang; Xugui Xia
Analysis of sun photometer measured and satellite retrieved aerosol optical depth (AOD) data has shown that major aerosol pollution events with very high fine mode AOD (>1.0 in mid-visible) in the China/Korea/Japan region are often observed to be associated with significant cloud cover. This makes remote sensing of these events difficult even for high temporal resolution sun photometer measurements. Possible physical mechanisms for these events that have high AOD include a combination of aerosol humidification, cloud processing, and meteorological co-variation with atmospheric stability and convergence. The new development of Aerosol Robotic network (AERONET) Version 3 Level 2 AOD with improved cloud screening algorithms now allow for unprecedented ability to monitor these extreme fine mode pollution events. Further, the Spectral Deconvolution Algorithm (SDA) applied to Level 1 data (L1; no cloud screening) provides an even more comprehensive assessment of fine mode AOD than L2 in current and previous data versions. Studying the 2012 winter-summer period, comparisons of AERONET L1 SDA daily average fine mode AOD data showed that Moderate Resolution Imaging Spectroradiometer (MODIS) satellite remote sensing of AOD often did not retrieve and/or identify some of the highest fine mode AOD events in this region. Also, compared to models that include data assimilation of satellite retrieved AOD, the L1 SDA fine mode AOD was significantly higher in magnitude, particularly for the highest AOD events that were often associated with significant cloudiness.
Atmospheric Chemistry and Physics | 2013
Huizheng Che; Xugui Xia; Jun Zhu; Zhengqiang Li; Oleg Dubovik; Brent N. Holben; Philippe Goloub; H. Chen; V. Estellés; Emilio Cuevas-Agulló; L. Blarel; Hong Wang; Hujia Zhao; X. Y. Zhang; Yu-Tu Wang; Junying Sun; Ran Tao; Guangming Shi
Journal of Geophysical Research | 2007
Russell R. Dickerson; Can Li; Zhanqing Li; L. T. Marufu; Jeffrey W. Stehr; B. McClure; N. Krotkov; H. Chen; P. Wang; Xugui Xia; X. Ban; F. Gong; J. Yuan; J. Yang
Journal of Geophysical Research | 2007
Xugui Xia; Zhanqing Li; P. Wang; H. Chen; Maureen Cribb
Atmospheric Chemistry and Physics | 2013
Trissevgeni Stavrakou; J.-F. Müller; Maite Bauwens; I. De Smedt; M. Van Roozendael; Alex Guenther; Martin Wild; Xugui Xia
Atmospheric Environment | 2016
Xugui Xia; Huizheng Che; Jian-Kang Zhu; H. Chen; Z. Cong; X. Deng; Xuehua Fan; Y. Fu; Philippe Goloub; H. Jiang; Q. Liu; B. Mai; P. Wang; Yunfei Wu; Jing Zhang; R. Zhang; X. Y. Zhang