Articles | Volume 15, issue 1
https://doi.org/10.5194/acp-15-319-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-15-319-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
13 Jan 2015
Research article |
| 13 Jan 2015
Estimation of PM10 concentrations over Seoul using multiple empirical models with AERONET and MODIS data collected during the DRAGON-Asia campaign
S. Seo
Institute of Earth, Astronomy, and Atmosphere, Brain Korea 21 Plus Program, Department of Atmospheric Sciences, Yonsei University, Seoul, South Korea
now at: Korea Polar Research Institute, Incheon, South Korea
Institute of Earth, Astronomy, and Atmosphere, Brain Korea 21 Plus Program, Department of Atmospheric Sciences, Yonsei University, Seoul, South Korea
H. Lee
Institute of Earth, Astronomy, and Atmosphere, Brain Korea 21 Plus Program, Department of Atmospheric Sciences, Yonsei University, Seoul, South Korea
Department of Spatial Information Engineering, Pukyong National University, Busan, South Korea
U. Jeong
Institute of Earth, Astronomy, and Atmosphere, Brain Korea 21 Plus Program, Department of Atmospheric Sciences, Yonsei University, Seoul, South Korea
W. Kim
Institute of Earth, Astronomy, and Atmosphere, Brain Korea 21 Plus Program, Department of Atmospheric Sciences, Yonsei University, Seoul, South Korea
B. N. Holben
NASA Goddard Space Flight Center, Greenbelt, MD, USA
S.-W. Kim
School of Earth and Environmental Sciences, Seoul National University, Seoul, South Korea
C. H. Song
School of Environmental Science and Engineering, GIST, Gwangju, South Korea
J. H. Lim
Global Environment Research Division, National Institute of Environmental Research, Incheon, South Korea
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49 citations as recorded by crossref.
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- Estimation of surface-level PM2.5concentration based on MODIS aerosol optical depth over Jeju, Korea K. Kim et al. 10.7780/kjrs.2016.32.5.2
- Air pollution, including PM10, as a potential risk factor for the development of appendicitis in Korea: a case-crossover study Y. Jee et al. 10.12771/emj.2024.e38
- Utilization of O<sub>4</sub> slant column density to derive aerosol layer height from a space-borne UV–visible hyperspectral sensor: sensitivity and case study S. Park et al. 10.5194/acp-16-1987-2016
- Synergetic analysis of springtime air pollution episodes over Gwangju, Korea S. Shin et al. 10.1016/j.jes.2017.02.002
- Estimating urban ground-level PM10 using MODIS 3km AOD product and meteorological parameters from WRF model S. Ghotbi et al. 10.1016/j.atmosenv.2016.06.057
- Determination of mixing layer height from co-located lidar, ceilometer and wind Doppler lidar measurements: Intercomparison and implications for PM2.5 simulations S. Park et al. 10.1016/j.apr.2021.101310
- Aerosol Property Retrieval Algorithm over Northeast Asia from TANSO-CAI Measurements Onboard GOSAT S. Lee et al. 10.3390/rs9070687
- Validation of the Atmospheric Boundary Layer Height Estimated from the MODIS Atmospheric Profile Data at an Equatorial Site S. Onyango et al. 10.3390/atmos11090908
- Impact of diurnal variability and meteorological factors on the PM2.5 - AOD relationship: Implications for PM2.5 remote sensing J. Guo et al. 10.1016/j.envpol.2016.11.043
- Relationship between Remotely Sensed Ambient PM10 and PM2.5 and Urban Forest in Seoul, South Korea J. Park & P. Lee 10.3390/f11101060
- New Era of Air Quality Monitoring from Space: Geostationary Environment Monitoring Spectrometer (GEMS) J. Kim et al. 10.1175/BAMS-D-18-0013.1
- Changes in column aerosol optical depth and ground-level particulate matter concentration over East Asia J. Nam et al. 10.1007/s11869-017-0517-5
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- Assessing the effect of long-range pollutant transportation on air quality in Seoul using the conditional potential source contribution function method U. Jeong et al. 10.1016/j.atmosenv.2016.11.017
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- Attributes of aerosol bound water soluble ions and carbon, and their relationships with AOD over the Brahmaputra Valley P. Bhuyan et al. 10.1016/j.atmosenv.2016.07.045
- Evaluation of VIIRS, GOCI, and MODIS Collection 6 AOD retrievals against ground sunphotometer observations over East Asia Q. Xiao et al. 10.5194/acp-16-1255-2016
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- Fine particulate concentrations over East Asia derived from aerosols measured by the advanced Himawari Imager using machine learning Y. Cho et al. 10.1016/j.atmosres.2023.106787
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- Evaluation of Empirical Atmospheric Models Using Swarm-C Satellite Data L. Yin et al. 10.3390/atmos13020294
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- Hourly Mapping of the Layer Height of Thick Smoke Plumes Over the Western U.S. in 2020 Severe Fire Season Z. Lu et al. 10.3389/frsen.2021.766628
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- An overview of mesoscale aerosol processes, comparisons, and validation studies from DRAGON networks B. Holben et al. 10.5194/acp-18-655-2018
- Derivation of PM10 mass concentration from advanced satellite retrieval products based on a semi-empirical physical approach Y. Wei et al. 10.1016/j.rse.2021.112319
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Short summary
The estimation of PM10 from optical measurement of AERONET and MODIS by various empirical models was evaluated for the DRAGON-Asia campaign. The results showed the importance of boundary layer height (BLH) and effective radius (Reff) in estimating PM10. The highest correlation between the estimated and measured values was found to be 0.81 in winter due to the stagnant air mass and low BLH, while the poorest values were 0.54 in spring due to the influence of long-range transport above BLH.
The estimation of PM10 from optical measurement of AERONET and MODIS by various empirical models...
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