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| 1 | Application of Aircraft Observations over Beijing in Cloud Microphysical Property Retrievals from CloudSat显示文摘Cloud microphysical property retrievals from the active microwave instrument on a satellite require the cloud droplet size distribution obtained from aircraft observations as a priori data in the iteration procedure. The cloud lognormal size distributions derived from 12 flights over Beijing, China, in 2008–09 were characterized to evaluate and improve regional CloudSat cloud water content retrievals. We present the distribution parameters of stratiform cloud droplet(diameter <500 μm and <1500 μm) and discuss the effect of large particles on distribution parameter fitting. Based on three retrieval schemes with different lognormal size distribution parameters, the vertical distribution of cloud liquid and ice water content were derived and then compared with the aircraft observations. The results showed that the liquid water content(LWC) retrievals from large particle size distributions were more consistent with the vertical distribution of cloud water content profiles derived from in situ data on 25 September 2006. We then applied two schemes with different a priori data derived from flight data to CloudSat overpasses in northern China during April–October in 2008 and 2009. The CloudSat cloud water path(CWP) retrievals were compared with Moderate Resolution Imaging Spectroradiometer(MODIS) liquid water path(LWP) data. The results indicated that considering a priori data including large particle size information can significantly improve the consistency between the CloudSat CWP and MODIS CWP. These results strongly suggest that it is necessary to consider particles with diameters greater than 50 μm in CloudSat LWC retrievals. | WANG Lei LI Chengcai YAO Zhigang ZHAO Zengliang HAN Zhigang WEI Qiang | 2014 | Advances in Atmospheric Sciences2014，31，4： | 4 |
| 2 | Synergistic Use of AIRS and MODIS for Dust Top Height Retrieval over Land显示文摘It is nontrivial to extract the dust top height(DTH) accurately from passive instruments over land due to the complexity of the surface conditions. The Moderate Resolution Imaging Spectroradiometer(MODIS) deep blue(DB) algorithm can be used to infer the aerosol optical depth(AOD) over high-reflective surfaces. The Atmospheric Infrared Sounder(AIRS) can simultaneously obtain the DTH and optical depth information. This study focuses on the synergistic use of AIRS observations and MODIS DB results for improving the DTH by using a stable relationship between the AIRS infrared and MODIS DB AODs. A one-dimensional variational(1DVAR) algorithm is applied to extract the DTH from AIRS. Simulation experiments indicate that when the uncertainty of the dust optical depth decreases from 50% to 20%, the improvement of the DTH retrieval accuracy from AIRS reaches 200 m for most of the assumed dust conditions. For two cases over the Taklimakan Desert, the results are compared against Cloud-Aerosol Lidar with Orthogonal Polarization(CALIOP) measurements. The results confirm that the MODIS DB product could help extract the DTH over land from AIRS. | YAO Zhigang Jun LI ZHAO Zengliang | 2015 | Advances in Atmospheric Sciences2015，32，4： | 2 |
| 3 | An intelligent background‐correction algorithm for highly fluorescent samples in Raman spectroscopy显示文摘 | Zhi‐MinZhang ShanChen Yi‐ZengLiang Zhao‐XiaLiu Qi‐MingZhang Li‐XiaDing FeiYe HuaZhou | 2010 | J Raman Spectrosc2010，，6： | 1 |
| 4 | Gut microbiota,inflammation,and molecular signatures of host response to infection显示文摘Gut microbial dysbiosis has been linked to many noncommunicable diseases.However,little is known about specific gut microbiota composition and its correlated metabolites associated with molecular signatures underlying host response to infection.Here,we describe the construction of a proteomic risk score based on 20 blood proteomic biomarkers,which have recently been identified as molecular signatures predicting the progression of the COVID-19.We demonstrate that in our cohort of 990 healthy individuals without infection,this proteomic risk score is positively associated with proinflammatory cytokines mainly among older,but not younger,individuals.We further discover that a core set of gut microbiota can accurately predict the above proteomic biomarkers among 301 individuals using a machine learning model and that these gut microbiota features are highly correlated with proinflammatory cytokines in another independent set of 366 individuals.Fecal metabolomics analysis suggests potential amino acid-related pathways linking gut microbiota to host metabolism and inflammation.Overall,our multi-omics analyses suggest that gut microbiota composition and function are closely related to inflammation and molecular signatures of host response to infection among healthy individuals.These results may provide novel insights into the cross-talk between gut microbiota and host immune system. | Wanglong Gou Yuanqing Fu Liang Yue Geng-Dong Chen Xue Cai Menglei Shuai Fengzhe Xu Xiao Yi Hao Chen Yi Zhu Mian-Li Xiao Zengliang Jiang Zelei Miao Congmei Xiao Bo Shen Xiaomai Wu Haihong Zhao Wenhua Ling Jun Wang Yu-Ming Chen Tiannan Guo Ju-Sheng Zheng | 2021 | Journal of Genetics and Genomics2021，48，9： | 1 |
| 5 | QoS-aware middleware for Web services composition 显示文摘 | ZHAO Zengliang BENATALLAH B NGU A H H | 2004 | IEEE Transactions on Software Engineering2004，30，5： | 1 |
| 6 | QoS-aware Middleware for Web Services Composition显示文摘 | Zhao Zengliang Benatallsh B Ngu A H H | 2004 | IEEE Transactions on Software Engineering2004，30，5： | 1 |
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