Articles | Volume 13, issue 18
https://doi.org/10.5194/acp-13-9525-2013
© Author(s) 2013. 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-13-9525-2013
© Author(s) 2013. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
27 Sep 2013
Research article |
| 27 Sep 2013
Aerosol airmass type mapping over the Urban Mexico City region from space-based multi-angle imaging
F. Patadia
GESTAR, Morgan State University, Baltimore, MD 21251, USA
Climate & Radiation Laboratory, NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA
R. A. Kahn
Climate & Radiation Laboratory, NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA
J. A. Limbacher
Climate & Radiation Laboratory, NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA
Science Systems and Applications, Inc., Lanham, MD 20706, USA
S. P. Burton
NASA Langley Research Center, Hampton VA, 23681, USA
R. A. Ferrare
NASA Langley Research Center, Hampton VA, 23681, USA
C. A. Hostetler
NASA Langley Research Center, Hampton VA, 23681, USA
J. W. Hair
NASA Langley Research Center, Hampton VA, 23681, USA
Viewed
Total article views: 4,157 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 22 Mar 2013)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 2,135 | 1,895 | 127 | 4,157 | 100 | 73 |
- HTML: 2,135
- PDF: 1,895
- XML: 127
- Total: 4,157
- BibTeX: 100
- EndNote: 73
Total article views: 3,038 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 27 Sep 2013)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 1,616 | 1,324 | 98 | 3,038 | 86 | 70 |
- HTML: 1,616
- PDF: 1,324
- XML: 98
- Total: 3,038
- BibTeX: 86
- EndNote: 70
Total article views: 1,119 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 22 Mar 2013)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 519 | 571 | 29 | 1,119 | 14 | 3 |
- HTML: 519
- PDF: 571
- XML: 29
- Total: 1,119
- BibTeX: 14
- EndNote: 3
Cited
14 citations as recorded by crossref.
- A multiparameter aerosol classification method and its application to retrievals from spaceborne polarimetry P. Russell et al. 10.1002/2013JD021411
- Satellite data of atmospheric pollution for U.S. air quality applications: Examples of applications, summary of data end-user resources, answers to FAQs, and common mistakes to avoid B. Duncan et al. 10.1016/j.atmosenv.2014.05.061
- Combining low-cost, surface-based aerosol monitors with size-resolved satellite data for air quality applications P. deSouza et al. 10.5194/amt-13-5319-2020
- A minimum albedo aerosol retrieval method for the new-generation geostationary meteorological satellite Himawari-8 X. Yan et al. 10.1016/j.atmosres.2018.02.021
- Aerosol climatology over the Mexico City basin: Characterization of optical properties G. Carabali et al. 10.1016/j.atmosres.2017.04.035
- An analysis of global aerosol type as retrieved by MISR R. Kahn & B. Gaitley 10.1002/2015JD023322
- Constraining chemical transport PM<sub>2.5</sub> modeling outputs using surface monitor measurements and satellite retrievals: application over the San Joaquin Valley M. Friberg et al. 10.5194/acp-18-12891-2018
- MISR research-aerosol-algorithm refinements for dark water retrievals J. Limbacher & R. Kahn 10.5194/amt-7-3989-2014
- Detection of pollution outflow from Mexico City using CALIPSO lidar measurements J. Kar et al. 10.1016/j.rse.2015.08.009
- An AERONET-based aerosol classification using the Mahalanobis distance P. Hamill et al. 10.1016/j.atmosenv.2016.06.002
- Variation in global chemical composition of PM<sub>2.5</sub>: emerging results from SPARTAN G. Snider et al. 10.5194/acp-16-9629-2016
- Indirect estimation of absorption properties for fine aerosol particles using AATSR observations: a case study of wildfires in Russia in 2010 E. Rodríguez et al. 10.5194/amt-8-3075-2015
- Evaluation of a MISR-Based High-Resolution Aerosol Retrieval Method Using AERONET DRAGON Campaign Data T. Moon et al. 10.1109/TGRS.2015.2395722
- Aerosol classification from airborne HSRL and comparisons with the CALIPSO vertical feature mask S. Burton et al. 10.5194/amt-6-1397-2013
13 citations as recorded by crossref.
- A multiparameter aerosol classification method and its application to retrievals from spaceborne polarimetry P. Russell et al. 10.1002/2013JD021411
- Satellite data of atmospheric pollution for U.S. air quality applications: Examples of applications, summary of data end-user resources, answers to FAQs, and common mistakes to avoid B. Duncan et al. 10.1016/j.atmosenv.2014.05.061
- Combining low-cost, surface-based aerosol monitors with size-resolved satellite data for air quality applications P. deSouza et al. 10.5194/amt-13-5319-2020
- A minimum albedo aerosol retrieval method for the new-generation geostationary meteorological satellite Himawari-8 X. Yan et al. 10.1016/j.atmosres.2018.02.021
- Aerosol climatology over the Mexico City basin: Characterization of optical properties G. Carabali et al. 10.1016/j.atmosres.2017.04.035
- An analysis of global aerosol type as retrieved by MISR R. Kahn & B. Gaitley 10.1002/2015JD023322
- Constraining chemical transport PM<sub>2.5</sub> modeling outputs using surface monitor measurements and satellite retrievals: application over the San Joaquin Valley M. Friberg et al. 10.5194/acp-18-12891-2018
- MISR research-aerosol-algorithm refinements for dark water retrievals J. Limbacher & R. Kahn 10.5194/amt-7-3989-2014
- Detection of pollution outflow from Mexico City using CALIPSO lidar measurements J. Kar et al. 10.1016/j.rse.2015.08.009
- An AERONET-based aerosol classification using the Mahalanobis distance P. Hamill et al. 10.1016/j.atmosenv.2016.06.002
- Variation in global chemical composition of PM<sub>2.5</sub>: emerging results from SPARTAN G. Snider et al. 10.5194/acp-16-9629-2016
- Indirect estimation of absorption properties for fine aerosol particles using AATSR observations: a case study of wildfires in Russia in 2010 E. Rodríguez et al. 10.5194/amt-8-3075-2015
- Evaluation of a MISR-Based High-Resolution Aerosol Retrieval Method Using AERONET DRAGON Campaign Data T. Moon et al. 10.1109/TGRS.2015.2395722
1 citations as recorded by crossref.
Saved (final revised paper)
Latest update: 21 Nov 2024
Altmetrics
Final-revised paper
Preprint