Bangsheng Yin
State University of New York System
Network
Latest external collaboration on country level. Dive into details by clicking on the dots.
Publication
Featured researches published by Bangsheng Yin.
Atmospheric Chemistry and Physics | 2012
Qilong Min; Everette Joseph; Y. Lin; L. Min; Bangsheng Yin; Peter H. Daum; Lawrence I. Kleinman; Jian Wang; Yin-Nan Lee
Utilizing the unique characteristics of the cloud over the Southeast Pacific (SEP) off the coast of Chile during the VOCALS field campaign, we compared satellite remote sensing of cloud microphysical properties against insitu data from multi-aircraft observations, and studied the extent to which these retrieved properties are sufficiently constrained and consistent to reliably quantify the influence of aerosol loading on cloud droplet sizes. After constraining the spatial-temporal coincidence between satellite retrievals and in-situ measurements, we selected 17 non-drizzle comparison pairs. For these cases the mean aircraft profiling times were within one hour of Terra overpasses at both projected and un-projected (actual) aircraft positions for two different averaging domains of 5 km and 25 km. Retrieved quantities that were averaged over a larger domain of 25 km compared better statistically with in-situ observations than averages over a smaller domain of 5 km. Comparison at projected aircraft positions was slightly better than un-projected aircraft positions for some parameters. Overall, both MODISretrieved effective radius and LWP were larger but highly correlated with the in-situ measured effective radius and LWP, e.g., for averaging domains of 5 km, the biases are up to 1.75 μm and 0.02 mm whilst the correlation coefficients are about 0.87 and 0.85, respectively. The observed effective radius difference between the two decreased with increasing cloud drop number concentration (CDNC), and increased with increasing cloud geometrical thickness. Compared to the absolute effective radius difference, the correlations between the relative effective radius difference and CDNC or cloud geometric thickness are weaker. For averaging domains of 5 km and 25 km, the correlation coefficients between MODIS-retrieved and in-situ measured CDNC are 0.91 and 0.93 with fitting slopes of 1.23 and 1.27, respectively. If the cloud adiabaticity is taken into account, better agreements are achieved for both averaging domains (the fitting slopes are 1.04 and 1.07, respectively). Our comparison and sensitivity analysis of simulated retrievals demonstrate that both cloud geometrical thickness and cloud adiabaticity are important factors in satellite retrievals of effective radius and cloud drop number concentration. The large variabilities in cloud geometrical thickness and adiabaticity, the dependencies of cloud microphysical properties on both quantities (as demonstrated in our sensitivity study of simulated retrievals), and the inability to accurately account for either of them in retrievals lead to some uncertainties and biases in satellite retrieved cloud effective radius, cloud liquid water path, and cloud drop number concentration. However, strong correlations between satellite retrievals and in-situ measurements suggest that satellite retrievals of cloud effective radius, cloud liquid water path, and cloud drop number concentration can be used to investigate aerosol indirect effects qualitatively.
Journal of Geophysical Research | 2014
Bangsheng Yin; Qilong Min
The long-term measurements at the Barrow and Atqasuk sites have been processed to develop the climatology of aerosol and cloud properties at interannual, seasonal, and diurnal temporal scales. At the Barrow site, the surface temperature exhibits an increasing trend in both thawed and frozen seasons over the period studied here, about one decade. Corresponding to the warming, the snow melting day arrives earlier, and the non-snow-cover duration increases. Aerosol optical depth increased during 2001–2003 and 2005–2009 and decreased during 2003–2005. The liquid water path (LWP), cloud optical depth (COD), and cloud fraction exhibit apparently decreasing trends from 2002 to 2007 and increased significantly after 2008. In the frozen season, the arctic haze and ice clouds are dominant, while in the thawed season, the oceanic biogenic aerosols and liquid water clouds or mixed-phase clouds are dominant. The cloud droplet effective radius during the thawed season is larger than that during the frozen season. The diurnal variations of aerosol and cloud-related atmospheric properties are not obvious at these two sites. During the sunshine periods, the aerosol has a cooling effect on the surface through direct aerosol radiative forcing. In the frozen season, clouds have a positive impact on the net surface radiation, and the water vapor path, LWP, and COD have good positive correlations with the surface temperature, suggesting that the cloud radiation feedback is positive. In the thawed season, clouds have a negative impact on the net surface radiation.
Journal of Quantitative Spectroscopy & Radiative Transfer | 2017
Siwei Li; Everette Joseph; Qilong Min; Bangsheng Yin
Journal of Quantitative Spectroscopy & Radiative Transfer | 2015
Bangsheng Yin; Qilong Min; Everette Joseph
Atmospheric Measurement Techniques | 2016
Siwei Li; E. Joseph; Qilong Min; Bangsheng Yin; Ricardo Sakai; Megan K. Payne
Atmospheric Measurement Techniques | 2014
Qilong Min; Bangsheng Yin; Siwei Li; Jerry L. Berndt; Lee Harrison; E. Joseph; Minzheng Duan; P. Kiedron
Journal of Geophysical Research | 2013
Bangsheng Yin; Qilong Min
Journal of Geophysical Research | 2011
Bangsheng Yin; Qilong Min; Minzheng Duan; Mary Jane Bartholomew; Andrew M. Vogelmann; David D. Turner
Optics Communications | 2015
Ruyi Wei; Bangsheng Yin
Journal of Quantitative Spectroscopy & Radiative Transfer | 2015
Bangsheng Yin; Siwei Li; Rui Li; Qilong Min; Minzheng Duan