2018
DOI: 10.1016/j.atmosenv.2018.05.038
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Application of satellite observations in conjunction with aerosol reanalysis to characterize long-range transport of African and Asian dust on air quality in the contiguous U.S.

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Cited by 27 publications
(20 citation statements)
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“…Many studies have examined dust transport to the WNAO and Caribbean regions with satellite and reanalysis data, ground observations, and transport modeling (e.g., Chen et al, ; Colarco et al, ; Husar et al, ; Kandler et al, ; Zuidema et al, ). Although to the south of this study's domain of the WNAO, the Puerto Rico Dust Experiment is especially noteworthy as it represented a very thorough campaign to characterize mineral aerosol properties and cycling over the WNAO (Colarco et al, ; Levy et al, ; Reid, Reid, et al, ; Reid, Kinney, et al, ).…”
Section: Synthesis Of Results and Future Outlookmentioning
confidence: 99%
“…Many studies have examined dust transport to the WNAO and Caribbean regions with satellite and reanalysis data, ground observations, and transport modeling (e.g., Chen et al, ; Colarco et al, ; Husar et al, ; Kandler et al, ; Zuidema et al, ). Although to the south of this study's domain of the WNAO, the Puerto Rico Dust Experiment is especially noteworthy as it represented a very thorough campaign to characterize mineral aerosol properties and cycling over the WNAO (Colarco et al, ; Levy et al, ; Reid, Reid, et al, ; Reid, Kinney, et al, ).…”
Section: Synthesis Of Results and Future Outlookmentioning
confidence: 99%
“…Eltahan et al 2018 [31] used this as a tuneable value to closely match the predicted AOD with MODIS AOD measurements. Chen et al 2018 [26] used a value of 1.2 µg s 2 m −5 to match the MODIS ADO. In addition, Ginoux et al 2012 [40] used C as 10 −6 g s 2 m −5 for topographic erodibility and C = 1.9 × 10 −6 g s 2 m −5 for soil erodibility derived from MODIS Deep Blue Level 2 satellite product.…”
Section: Dust Emission Modelmentioning
confidence: 99%
“…Eltahan et al 2018 [31] has used it as a tunable value to closely match the predicted AOD with MODIS AOD measurements. Chen et al, 2018 [26] used the value of 1.2µgs 2 m -5 to match the MODIS ADO. And Ginoux et al 2012 [40] used C as 10 -6 g s 2 m -5 for topographic erodibility and C=1.9 x 10 -6 g s 2 m -5 for soil erodibility derived from MODIS Deep Blue Level 2 satellite product.…”
Section: Dust Emission Modelmentioning
confidence: 99%
“…Chen et al 2016 [25] studied the transport of dust event in March 2010 from Taklimakan and Gobi deserts across China to Korea and Japan using WRF-Chem model, they used Aerosol Optical Depth (AOD) data from AERONET ground network and vertical aerosol extinction coefficients from CALIPSO satellite. [26] recently studied intercontinental dust transport from two dust storm events in 2015 in North Africa (Sahara-Sahel) and Asia (Taklamakan) deserts to the East and West coast of the U.S. using AOD from MYD04-3k (Aqua) Moderate Resolution Imaging Spectroradiometer (MODIS) level 2 products, AI (Aerosol Index) or Aerosol Optical Thickness (AOT) derived from satellite measurements such as GOES (Geostationary Operational Environmental Satellite system) Aerosols/Smoke Product (GASP), OMI (Ozone Monitoring Instrument) onboard Earth Observing System (EOS), VIIRS (Visible Infrared Imaging Radiometer Suite) aboard the Suomi National Polar-orbiting Partnership (Suomi-NPP). In addition, lidar-measurement of aerosol vertical profile by CALIOP onboard CALIPSO satellite, ground based AERONET of solar radiation and air quality monitoring stations as well as MERRA-2 aerosol reanalysis were also used to characterise the source and long-range transport (LRT) pattern of dust events from North Africa and Asia to the U.S.…”
Section: Introductionmentioning
confidence: 99%