Baomin Wang

Prof. Baomin Wang

orcid

Research Focus & Metrics

Academic Career Length

19Years (2008-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 April 2020 in Science of The Total Environment
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Journal Article
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KZKeer Zhang
Keer Zhang
GCGuanwen Chen
Guanwen Chen
YZYong Zhang
Yong Zhang
SLShanhe Liu
Shanhe Liu
XWXuemei Wang
Xuemei Wang
Jian HangJian Hang
Jian Hang

27 September 2008 in Advances in Atmospheric Sciences
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Journal Article
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PDF file
HLHuizhi Liu
Huizhi Liu
BWBaomin Wang
Baomin Wang
CFCongbin Fu
Congbin Fu

5 October 2018 in Building Simulation
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Journal Article
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JHJian Hang
Jian Hang
Riccardo BuccolieriRiccardo Buccolieri
Riccardo Buccolieri
XYXia Yang
Xia Yang
HYHongyu Yang
Hongyu Yang
FQFrancesca Quarta
Francesca Quarta
BWBaomin Wang
Baomin Wang

23 March 2022 in Remote Sensing
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Journal Article
Open access
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ZZZhijie Zhang
Zhijie Zhang
LLLi Liu
Li Liu
BWBaomin Wang
Baomin Wang
HTHaobo Tan
Haobo Tan
CLChangxing Lan
Changxing Lan
P.W. ChanP.W. Chan
P.W. Chan
The lidar ratio (LR) is a key parameter for the retrieval of atmospheric optical parameters from lidar equations. In this study, we simulated the optical parameters to investigate the impact factors of the LR using a three-component optical aerosol assumption based on the Mie model. The simulated LR was generally related to the overall particle size of the aerosols, the proportion of elemental carbon (EC), as well as aerosol mixing states and hygroscopicity. The LR was positively correlated with the particle size and volume fraction of elemental carbon (fEC). The LR increased more than three-fold with the increase in fEC from 0% to 40%. The LR of the core-shell (CS) mixing state and homogeneously internal (INT) mixing state was greater than that of the external (EXT) mixing state. The LR of all mixing states increased monotonically with hygroscopicity when the fEC was below 10%, while the LR of the core-shell mixing state (homogeneously internal mixing state) initially decreased (increased) and then increased (decreased) with increasing hygroscopicity when the fEC was more than 20%. These results will help in selecting a reasonable LR for practical applications.

12 April 2023 in Journal of Geophysical Research: Atmospheres
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Journal Article
Closed access
CLChangxing Lan
Changxing Lan
JXJielan Xie
Jielan Xie
Lei LiLei Li
Lei Li
BWBaomin Wang
Baomin Wang
HYHonglong Yang
Honglong Yang
JLJieying Lu
Jieying Lu

21 March 2022 in Quarterly Journal of the Royal Meteorological Society
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Journal Article
Open access
CLChangxing Lan
Changxing Lan
BWBaomin Wang
Baomin Wang
DZDan Zheng
Dan Zheng
YWYe Wang
Ye Wang
ZZZhijie Zhang
Zhijie Zhang
RFRenzhi Fang
Renzhi Fang
A number of studies have brought up that turbulent transport dissimilarity between momentum and scalars, and even among scalars, is a distinct feature of the unstable boundary layer, affecting the performance of the Monin–Obukhov similarity theory. Although the source/sink distribution of scalars, as well as the top‐down entrainment processes, are identified as being responsible for affecting transport dissimilarity, less is known about the role of bulk‐shear‐generated non‐local large eddies. Using data collected by an eddy covariance system mounted on a 70‐m meteorological tower over a complex rural area, decreased transport dissimilarity with enhanced wind shear is observed during daytime unstable conditions, prompting our interest in the underlying governing mechanisms. Enhanced wind shear increases the intensity of coherent large eddies, with spectra analysis confirming that large eddies with scales larger than 0.3 (in the normalized frequency) are mainly responsible for the enhanced correlation of fluxes. Moreover, this process is operating on large eddies with minimal phase differences. With enhanced wind shear, fluctuations of scalars within these non‐local large eddies become synchronous. Due to the enhanced ejections of large eddies under strong wind shears, fluxes are transported evenly, thereby resulting in decreased transport dissimilarity.