scholarly journals Three‐Year Continuous Observation of Pure and Polluted Dust Aerosols Over Northwest China Using the Ground‐Based Lidar and Sun Photometer Data

2019 ◽  
Vol 124 (2) ◽  
pp. 1118-1131 ◽  
Author(s):  
Z. Zhang ◽  
J. Huang ◽  
B. Chen ◽  
Y. Yi ◽  
J. Liu ◽  
...  
Keyword(s):  
Northwest China ◽  
Continuous Observation ◽  
Dust Aerosols ◽  
Sun Photometer ◽  
Ground Based Lidar

scholarly journals Profiling Dust Mass Concentration in Northwest China Using a Joint Lidar and Sun-photometer Setting

2021 ◽  
Vol 13 (6) ◽  
pp. 1099
Author(s):  
Tianhe Wang ◽  
Ying Han ◽  
Wenli Hua ◽  
Jingyi Tang ◽  
Jianping Huang ◽  
...  
Keyword(s):  
Mass Concentration ◽  
Field Experiments ◽  
Negative Relationship ◽  
Northwest China ◽  
Dust Particles ◽  
Mass Loading ◽  
Average Mass ◽  
Dust Mass ◽  
Dust Loading ◽  
Sun Photometer

The satellite-based estimation of the dust mass concentration (DMC) is essential for accurately evaluating the global biogeochemical cycle of the dust aerosols. As for the uncertainties in estimating DMC caused by mixing dust and pollutants and assuming a fixed value for the mass extinction efficiency (MEE), a classic lidar-photometer method is employed to identify and separate the dust from pollutants, obtain the dust MEE, and evaluate the effect of the above uncertainties, during five dust field experiments in Northwest China. Our results show that this method is effective for continental aerosol mixtures consisting of dust and pollutants. It is also seen that the dust loading mainly occurred in the free troposphere (< 6 km), with the average mass loading of 905 ± 635 µg m−2 trapped in the planetary boundary layer. The dust MEE ranges from 0.30 to 0.60 m2 g−1 and has a significantly negative relationship with the size of dust particles. With the assumption of the dust MEE of 0.37 (0.60) m2 g−1, the DMC is shown to be overestimated (underestimated) by 20–40% (15–30%). In other words, our results suggest that the change of MEE with the size of dust particles should be considered in the estimation of DMC.

scholarly journals Estimating surface visibility at Hong Kong from ground-based LIDAR, sun photometer and operational MODIS products

2013 ◽  
Vol 63 (9) ◽  
pp. 1098-1110 ◽  
Author(s):  
Muhammad I. Shahzad ◽  
Janet E. Nichol ◽  
Jun Wang ◽  
James R. Campbell ◽  
Pak W. Chan
Keyword(s):  
Hong Kong ◽  
Sun Photometer ◽  
Ground Based Lidar

Simulated regional transport structures and budgets of dust aerosols during a typical springtime dust storm in the Tarim Basin, Northwest China

2020 ◽  
Vol 238 ◽  
pp. 104892
Author(s):  
Lu Meng ◽  
Xinghua Yang ◽  
Tianliang Zhao ◽  
Qing He ◽  
Ali Mamtimin ◽  
...  
Keyword(s):  
Tarim Basin ◽  
Dust Storm ◽  
Northwest China ◽  
Regional Transport ◽  
Dust Aerosols

scholarly journals Comparison of Aerosol Optical Depth (AOD) Derived from Ground-Based LIDAR and MODIS

2009 ◽  
Vol 3 (1) ◽  
pp. 131-137 ◽  
Author(s):  
P.W. Chan
Keyword(s):  
Hong Kong ◽  
Extinction Coefficient ◽  
Doppler Lidar ◽  
Moderate Resolution ◽  
Resolution Imaging ◽  
Sun Photometer ◽  
Moderate Resolution Imaging Spectroradiometer ◽  
Ground Based Lidar ◽  
Hong Kong International Airport

The performance and application of AOD products from the Moderate Resolution Imaging Spectroradiometer (MODIS) are studied by comparing with the AOD derived from the ground-based Doppler LIDAR inside the Hong Kong International Airport (HKIA). The backscattered power data of the LIDAR are used to determine the extinction coefficient profile, from which the AOD is calculated. The AOD determined from the LIDAR is found to have good quality by comparing with the AOD measurements from a hand-held sun photometer at HKIA over a period of three months, and as such it is used to study the quality of AOD estimated from MODIS. The 1-km resolution AOD product from MODIS is found to have better correlation with the LIDAR AOD in comparison to the 10-km resolution product. Moreover, since AOD is a column-integrated quantity, its application to the monitoring of the surface visibility changes should be made with caution during the presence of elevated layers of higher aerosol concentrations. Examples of the effects of such elevated aerosol layers are studied.

scholarly journals Dust Aerosol Detection by the Modified CO2 Slicing Method

Sensors ◽  
2019 ◽  
Vol 19 (7) ◽  
pp. 1615 ◽  
Author(s):  
Yu Someya ◽  
Ryoichi Imasu ◽  
Kei Shiomi
Keyword(s):  
Inversion Layer ◽  
Temperature Inversion ◽  
Dust Aerosol ◽  
Aerosol Layer ◽  
Atmospheric Conditions ◽  
Cloud Detection ◽  
Dust Aerosols ◽  
Surface Skin Temperature ◽  
Slicing Method ◽  
Ground Based Lidar

Dust aerosols, which have diverse and strong influences on the environment, must be monitored. Satellite data are effective for monitoring atmospheric conditions globally. In this work, the modified CO2 slicing method, a cloud detection technique using thermal infrared data from space, was applied to GOSAT data to detect the dust aerosol layer height. The results were compared using lidar measurements. Comparison of horizontal distributions found for northern Africa during summer revealed that both the relative frequencies of the low level aerosol layer from the slicing method and the dust frequencies of CALIPSO are high in northern coastal areas. Comparisons of detected layer top heights using collocated data with CALIPSO and ground-based lidar consistently showed high detection frequencies of the lower level aerosol layer, although the slicing method sometimes produces overestimates. This tendency is significant over land. The main causes of this tendency might be uncertainty of the surface skin temperature and a temperature inversion layer in the atmosphere. The results revealed that obtaining the detailed behavior of dust aerosols using the modified slicing method alone is difficult.

scholarly journals Aerosol characterization from active and passive ground measurements and satellite data

2018 ◽  
Vol 176 ◽  
pp. 08014
Author(s):  
Dandocsi Alexandru ◽  
Sapartoc Georgiana ◽  
Preda Liliana ◽  
Stan Cristina ◽  
Radu Cristian
Keyword(s):  
Time Series ◽  
Aerosol Optical Depth ◽  
Optical Depth ◽  
Satellite Data ◽  
Satellite Observations ◽  
Optical Data ◽  
Sun Photometer ◽  
Ground Based Lidar ◽  
One Year ◽  
Aerosol Characterization

One year records of AErosolROboticNEtwork (AERONET) sun photometer measurements were analyzed to investigate the seasonal and daily variations of columnar aerosol optical depth. Some irregularities of this time series are associated with aerosol intrusions. The aerosol layers indicated by these irregularities are identified and characterized using the extensive optical data from coincident CALIPSO satellite observations and ground based LIDAR.

Characterization of forest fire and Saharan desert dust aerosols over South-western Europe using a multi-wavelength Raman lidar and Sun-photometer

2021 ◽  
pp. 118346
Author(s):  
Vanda Salgueiro ◽  
Maria João Costa ◽  
Juan Luis Guerrero-Rascado ◽  
Flavio T. Couto ◽  
Daniele Bortoli
Keyword(s):  
Forest Fire ◽  
Western Europe ◽  
Raman Lidar ◽  
Desert Dust ◽  
Dust Aerosols ◽  
Multi Wavelength ◽  
Sun Photometer

scholarly journals Study of Persistent Pollution in Hefei during Winter Revealed by Ground-Based LiDAR and the CALIPSO Satellite

2021 ◽  
Vol 13 (2) ◽  
pp. 875
Author(s):  
Zhiyuan Fang ◽  
Hao Yang ◽  
Ye Cao ◽  
Kunming Xing ◽  
Dong Liu ◽  
...  
Keyword(s):  
Meteorological Data ◽  
Eastern China ◽  
Northwest China ◽  
Back Trajectory ◽  
Observation Data ◽  
Transport Pathway ◽  
Back Trajectory Analysis ◽  
Maximum Value ◽  
Heavy Pollution ◽  
Ground Based Lidar

LiDAR and CALIPSO satellites are effective tools for detecting air pollution, and by employing PM2.5 observation data, ground-based LiDAR measurements, CALIPSO satellite data, meteorological data, and back-trajectory analysis, we analyzed the process of pollution (moderate pollution, heavy pollution, excellent weather, and dust transmission weather) in Hefei, China from 24 to 27 January 2019 and analyzed the meteorological conditions and pollutants causing heavy pollution. Observation data from the ground station showed that the concentrations of PM10 and PM2.5 increased significantly on 25 January; the maximum value of PM10 was 175 µg/m3, and the maximum value of PM2.5 was 170 µg/m3. In this study, aerosol transboundary transport was observed using a combination of ground-based LiDAR and CALIPSO satellite observations. This method showed that aerosols were distributed at a height of 3–4 km over Hefei at 12:00 on 26 January, and it was found that the aerosols came from the desert region in northwest China. Moreover, we determined its transport pathway based on the backward trajectory, and the transportation of pollutants from the surrounding important industrial cities in central and eastern China led to severe pollution after aggregating and mixing with local aerosols in Hefei in the winter. Therefore, the method proposed in this paper can effectively monitor the optical properties and transportation process of aerosols, help to explore the causes of pollution under complex conditions, and improve environmental quality.

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