Articles | Volume 12, issue 3
https://doi.org/10.5194/amt-12-1739-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-12-1739-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
18 Mar 2019
Research article |
| 18 Mar 2019
| 18 Mar 2019
A bulk-mass-modeling-based method for retrieving particulate matter pollution using CALIOP observations
Travis D. Toth
CORRESPONDING AUTHOR
NASA Langley Research Center, Hampton, VA, USA
Department of Atmospheric Sciences, University of North Dakota, Grand Forks, ND, USA
Jeffrey S. Reid
Marine Meteorology Division, Naval Research Laboratory, Monterey, CA, USA
Mark A. Vaughan
NASA Langley Research Center, Hampton, VA, USA
Viewed
Total article views: 3,585 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 16 Oct 2018)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 2,366 | 1,086 | 133 | 3,585 | 147 | 165 |
- HTML: 2,366
- PDF: 1,086
- XML: 133
- Total: 3,585
- BibTeX: 147
- EndNote: 165
Total article views: 2,792 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 18 Mar 2019)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 1,860 | 818 | 114 | 2,792 | 133 | 153 |
- HTML: 1,860
- PDF: 818
- XML: 114
- Total: 2,792
- BibTeX: 133
- EndNote: 153
Total article views: 793 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 16 Oct 2018)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 506 | 268 | 19 | 793 | 14 | 12 |
- HTML: 506
- PDF: 268
- XML: 19
- Total: 793
- BibTeX: 14
- EndNote: 12
Viewed (geographical distribution)
Total article views: 3,585 (including HTML, PDF, and XML)
Thereof 3,384 with geography defined
and 201 with unknown origin.
Total article views: 2,792 (including HTML, PDF, and XML)
Thereof 2,633 with geography defined
and 159 with unknown origin.
Total article views: 793 (including HTML, PDF, and XML)
Thereof 751 with geography defined
and 42 with unknown origin.
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
Cited
18 citations as recorded by crossref.
- Estimating PM2.5 Exposures and Cardiovascular Disease Risks in the Yangtze River Delta Region Using a Spatiotemporal Convolutional Approach to Fill Gaps in Satellite Data M. Hussain et al.
- A dark target Kalman filter algorithm for aerosol property retrievals in urban environment using multispectral images G. Vivone et al.
- Obtaining vertical distribution of PM2.5 from CALIOP data and machine learning algorithms B. Chen et al.
- Temporal and Spatial Autocorrelation as Determinants of Regional AOD-PM2.5 Model Performance in the Middle East K. Chau et al.
- Why do extreme particulate pollution events occur in low-emission Yunnan Province, China? J. Yang et al.
- Reconstructing 1-km-resolution high-quality PM2.5 data records from 2000 to 2018 in China: spatiotemporal variations and policy implications J. Wei et al.
- Mapping 532 nm lidar ratios for CALIPSO-classified marine aerosols using MODIS AOD constrained retrievals and GOCART model simulations T. Toth et al.
- Optimal Inversion of Conversion Parameters from Satellite AOD to Ground Aerosol Extinction Coefficient Using Automatic Differentiation L. Li
- Assessment of PM2.5 using satellite lidar observations: Effect of bio-mass burning emissions over India N. Lakshmi et al.
- An Adjustment Approach for Aerosol Optical Depth Inferred from CALIPSO Z. Zeng et al.
- Impact of aerosol layering, complex aerosol mixing, and cloud coverage on high-resolution MAIAC aerosol optical depth measurements: Fusion of lidar, AERONET, satellite, and ground-based measurements I. Rogozovsky et al.
- Calculation of near-surface atmospheric particulate matter (PM2.5) concentrations in China with the use of ACDL/DQ-1 Y. Zhang et al.
- The impact of different aerosol layering conditions on the high-resolution MODIS/MAIAC AOD retrieval bias: The uncertainty analysis I. Rogozovsky et al.
- Detection of aerosol mass concentration profiles using single-wavelength Raman Lidar within the planetary boundary layer S. Li et al.
- Assessment of smoke plume height products derived from multisource satellite observations using lidar-derived height metrics for wildfires in the western US J. Huang et al.
- Ten-year global particulate mass concentration derived from space-borne CALIPSO lidar observations X. Ma et al.
- Retrieving particulate matter concentrations over the contiguous United States using CALIOP observations T. Toth et al.
- Particulate matter concentrations derived from airborne high spectral resolution lidar measurements using machine learning regression R. Ferrare et al.
18 citations as recorded by crossref.
- Estimating PM2.5 Exposures and Cardiovascular Disease Risks in the Yangtze River Delta Region Using a Spatiotemporal Convolutional Approach to Fill Gaps in Satellite Data M. Hussain et al.
- A dark target Kalman filter algorithm for aerosol property retrievals in urban environment using multispectral images G. Vivone et al.
- Obtaining vertical distribution of PM2.5 from CALIOP data and machine learning algorithms B. Chen et al.
- Temporal and Spatial Autocorrelation as Determinants of Regional AOD-PM2.5 Model Performance in the Middle East K. Chau et al.
- Why do extreme particulate pollution events occur in low-emission Yunnan Province, China? J. Yang et al.
- Reconstructing 1-km-resolution high-quality PM2.5 data records from 2000 to 2018 in China: spatiotemporal variations and policy implications J. Wei et al.
- Mapping 532 nm lidar ratios for CALIPSO-classified marine aerosols using MODIS AOD constrained retrievals and GOCART model simulations T. Toth et al.
- Optimal Inversion of Conversion Parameters from Satellite AOD to Ground Aerosol Extinction Coefficient Using Automatic Differentiation L. Li
- Assessment of PM2.5 using satellite lidar observations: Effect of bio-mass burning emissions over India N. Lakshmi et al.
- An Adjustment Approach for Aerosol Optical Depth Inferred from CALIPSO Z. Zeng et al.
- Impact of aerosol layering, complex aerosol mixing, and cloud coverage on high-resolution MAIAC aerosol optical depth measurements: Fusion of lidar, AERONET, satellite, and ground-based measurements I. Rogozovsky et al.
- Calculation of near-surface atmospheric particulate matter (PM2.5) concentrations in China with the use of ACDL/DQ-1 Y. Zhang et al.
- The impact of different aerosol layering conditions on the high-resolution MODIS/MAIAC AOD retrieval bias: The uncertainty analysis I. Rogozovsky et al.
- Detection of aerosol mass concentration profiles using single-wavelength Raman Lidar within the planetary boundary layer S. Li et al.
- Assessment of smoke plume height products derived from multisource satellite observations using lidar-derived height metrics for wildfires in the western US J. Huang et al.
- Ten-year global particulate mass concentration derived from space-borne CALIPSO lidar observations X. Ma et al.
- Retrieving particulate matter concentrations over the contiguous United States using CALIOP observations T. Toth et al.
- Particulate matter concentrations derived from airborne high spectral resolution lidar measurements using machine learning regression R. Ferrare et al.
Saved (final revised paper)
Latest update: 11 May 2026
Download
The requested paper has a corresponding corrigendum published. Please read the corrigendum first before downloading the article.
- Article
(7700 KB) - Full-text XML
Short summary
An innovative method is presented for deriving particulate matter (PM) concentrations using CALIOP measurements. Deviating from conventional approaches of relying on passive satellite column-integrated aerosol measurements, PM concentrations are derived from near-surface CALIOP measurements through a bulk-mass-modeling method. This proof-of-concept study shows that, while limited in spatial and temporal coverage, CALIOP exhibits reasonable skill for PM applications.
An innovative method is presented for deriving particulate matter (PM) concentrations using...
