Observations of the Interaction and Transport of Fine Mode Aerosols with Cloud and/or Fog in Northeast Asia from Aerosol Robotic Network (AERONET) and Satellite Remote Sensing
Analysis of sun photometer measured and satellite retrieved aerosol optical depth (AOD) data has shown that major aerosol pollution events with very high fine mode AOD (>1.0 in mid-visible) in the China/Korea/Japan region are often observed to be associated with significant cloud cover. This make...
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Online Access: | http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7356674/ http://www.ncbi.nlm.nih.gov/pubmed/32661496 https://doi.org/10.1029/2018JD028313 |
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ftpubmed:oai:pubmedcentral.nih.gov:7356674 2023-05-15T13:05:59+02:00 Observations of the Interaction and Transport of Fine Mode Aerosols with Cloud and/or Fog in Northeast Asia from Aerosol Robotic Network (AERONET) and Satellite Remote Sensing Eck, T. F. Holben, B. N. Reid, J. S. Xian, P. Giles, D. M. Sinyuk, A. Smirnov, A. Schafer, J. S. Slutsker, I. Kim, J. Koo, J-H. Choi, M. Kim, K. C. Sano, I. Arola, A. Sayer, A. M. Levy, R. C. Munchak, L. A. O’Neill, N. T. Lyapustin, A. Hsu, N. C. Randles, C. A. Da Silva, A. M. Buchard, V. Govindaraju, R. C. Hyer, E. Crawford, J. H. Wang, P. Xia, X. 2018-05-04 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7356674/ http://www.ncbi.nlm.nih.gov/pubmed/32661496 https://doi.org/10.1029/2018JD028313 en eng http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7356674/ http://www.ncbi.nlm.nih.gov/pubmed/32661496 http://dx.doi.org/10.1029/2018JD028313 J Geophys Res Atmos Article Text 2018 ftpubmed https://doi.org/10.1029/2018JD028313 2020-07-19T00:44:09Z Analysis of sun photometer measured and satellite retrieved aerosol optical depth (AOD) data has shown that major aerosol pollution events with very high fine mode AOD (>1.0 in mid-visible) in the China/Korea/Japan region are often observed to be associated with significant cloud cover. This makes remote sensing of these events difficult even for high temporal resolution sun photometer measurements. Possible physical mechanisms for these events that have high AOD include a combination of aerosol humidification, cloud processing, and meteorological co-variation with atmospheric stability and convergence. The new development of Aerosol Robotic network (AERONET) Version 3 Level 2 AOD with improved cloud screening algorithms now allow for unprecedented ability to monitor these extreme fine mode pollution events. Further, the Spectral Deconvolution Algorithm (SDA) applied to Level 1 data (L1; no cloud screening) provides an even more comprehensive assessment of fine mode AOD than L2 in current and previous data versions. Studying the 2012 winter-summer period, comparisons of AERONET L1 SDA daily average fine mode AOD data showed that Moderate Resolution Imaging Spectroradiometer (MODIS) satellite remote sensing of AOD often did not retrieve and/or identify some of the highest fine mode AOD events in this region. Also, compared to models that include data assimilation of satellite retrieved AOD, the L1 SDA fine mode AOD was significantly higher in magnitude, particularly for the highest AOD events that were often associated with significant cloudiness. Text Aerosol Robotic Network PubMed Central (PMC) Journal of Geophysical Research: Atmospheres 123 10 5560 5587 |
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Article Eck, T. F. Holben, B. N. Reid, J. S. Xian, P. Giles, D. M. Sinyuk, A. Smirnov, A. Schafer, J. S. Slutsker, I. Kim, J. Koo, J-H. Choi, M. Kim, K. C. Sano, I. Arola, A. Sayer, A. M. Levy, R. C. Munchak, L. A. O’Neill, N. T. Lyapustin, A. Hsu, N. C. Randles, C. A. Da Silva, A. M. Buchard, V. Govindaraju, R. C. Hyer, E. Crawford, J. H. Wang, P. Xia, X. Observations of the Interaction and Transport of Fine Mode Aerosols with Cloud and/or Fog in Northeast Asia from Aerosol Robotic Network (AERONET) and Satellite Remote Sensing |
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Analysis of sun photometer measured and satellite retrieved aerosol optical depth (AOD) data has shown that major aerosol pollution events with very high fine mode AOD (>1.0 in mid-visible) in the China/Korea/Japan region are often observed to be associated with significant cloud cover. This makes remote sensing of these events difficult even for high temporal resolution sun photometer measurements. Possible physical mechanisms for these events that have high AOD include a combination of aerosol humidification, cloud processing, and meteorological co-variation with atmospheric stability and convergence. The new development of Aerosol Robotic network (AERONET) Version 3 Level 2 AOD with improved cloud screening algorithms now allow for unprecedented ability to monitor these extreme fine mode pollution events. Further, the Spectral Deconvolution Algorithm (SDA) applied to Level 1 data (L1; no cloud screening) provides an even more comprehensive assessment of fine mode AOD than L2 in current and previous data versions. Studying the 2012 winter-summer period, comparisons of AERONET L1 SDA daily average fine mode AOD data showed that Moderate Resolution Imaging Spectroradiometer (MODIS) satellite remote sensing of AOD often did not retrieve and/or identify some of the highest fine mode AOD events in this region. Also, compared to models that include data assimilation of satellite retrieved AOD, the L1 SDA fine mode AOD was significantly higher in magnitude, particularly for the highest AOD events that were often associated with significant cloudiness. |
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author |
Eck, T. F. Holben, B. N. Reid, J. S. Xian, P. Giles, D. M. Sinyuk, A. Smirnov, A. Schafer, J. S. Slutsker, I. Kim, J. Koo, J-H. Choi, M. Kim, K. C. Sano, I. Arola, A. Sayer, A. M. Levy, R. C. Munchak, L. A. O’Neill, N. T. Lyapustin, A. Hsu, N. C. Randles, C. A. Da Silva, A. M. Buchard, V. Govindaraju, R. C. Hyer, E. Crawford, J. H. Wang, P. Xia, X. |
author_facet |
Eck, T. F. Holben, B. N. Reid, J. S. Xian, P. Giles, D. M. Sinyuk, A. Smirnov, A. Schafer, J. S. Slutsker, I. Kim, J. Koo, J-H. Choi, M. Kim, K. C. Sano, I. Arola, A. Sayer, A. M. Levy, R. C. Munchak, L. A. O’Neill, N. T. Lyapustin, A. Hsu, N. C. Randles, C. A. Da Silva, A. M. Buchard, V. Govindaraju, R. C. Hyer, E. Crawford, J. H. Wang, P. Xia, X. |
author_sort |
Eck, T. F. |
title |
Observations of the Interaction and Transport of Fine Mode Aerosols with Cloud and/or Fog in Northeast Asia from Aerosol Robotic Network (AERONET) and Satellite Remote Sensing |
title_short |
Observations of the Interaction and Transport of Fine Mode Aerosols with Cloud and/or Fog in Northeast Asia from Aerosol Robotic Network (AERONET) and Satellite Remote Sensing |
title_full |
Observations of the Interaction and Transport of Fine Mode Aerosols with Cloud and/or Fog in Northeast Asia from Aerosol Robotic Network (AERONET) and Satellite Remote Sensing |
title_fullStr |
Observations of the Interaction and Transport of Fine Mode Aerosols with Cloud and/or Fog in Northeast Asia from Aerosol Robotic Network (AERONET) and Satellite Remote Sensing |
title_full_unstemmed |
Observations of the Interaction and Transport of Fine Mode Aerosols with Cloud and/or Fog in Northeast Asia from Aerosol Robotic Network (AERONET) and Satellite Remote Sensing |
title_sort |
observations of the interaction and transport of fine mode aerosols with cloud and/or fog in northeast asia from aerosol robotic network (aeronet) and satellite remote sensing |
publishDate |
2018 |
url |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7356674/ http://www.ncbi.nlm.nih.gov/pubmed/32661496 https://doi.org/10.1029/2018JD028313 |
genre |
Aerosol Robotic Network |
genre_facet |
Aerosol Robotic Network |
op_source |
J Geophys Res Atmos |
op_relation |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7356674/ http://www.ncbi.nlm.nih.gov/pubmed/32661496 http://dx.doi.org/10.1029/2018JD028313 |
op_doi |
https://doi.org/10.1029/2018JD028313 |
container_title |
Journal of Geophysical Research: Atmospheres |
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123 |
container_issue |
10 |
container_start_page |
5560 |
op_container_end_page |
5587 |
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1766399506043109376 |