Observations of the Interaction and Transport of Fine Mode Aerosols With Cloud and/or Fog in Northeast Asia From Aerosol Robotic Network and Satellite Remote Sensing

T. F. Eck, B. N. Holben, J. S. Reid, P. Xian, D. M. Giles, A. Sinyuk, A. Smirnov, J. S. Schafer, I. Slutsker, J. Kim, J. H. Koo, M. Choi, K. C. Kim, I. Sano, A. Arola, A. M. Sayer, R. C. Levy, L. A. Munchak, N. T. O'Neill, A. LyapustinN. C. Hsu, C. A. Randles, A. M. Da Silva, V. Buchard, R. C. Govindaraju, E. Hyer, J. H. Crawford, P. Wang, X. Xia

Research output: Contribution to journalArticle

16 Citations (Scopus)

Abstract

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 midvisible) 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 covariation with atmospheric stability and convergence. The new development of Aerosol Robotic Network 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 Aerosol Robotic Network L1 SDA daily average fine mode AOD data showed that Moderate Resolution Imaging Spectroradiometer 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.

Original languageEnglish
Pages (from-to)5560-5587
Number of pages28
JournalJournal of Geophysical Research: Atmospheres
Volume123
Issue number10
DOIs
Publication statusPublished - 2018 May 27

Fingerprint

fogs (materials)
fog
Fog
aerosols
Aerosols
robotics
remote sensing
Remote sensing
optical depth
Robotics
Satellites
aerosol
optical thickness
interactions
deconvolution
Deconvolution
photometers
photometer
Photometers
cloud cover

All Science Journal Classification (ASJC) codes

  • Geophysics
  • Forestry
  • Oceanography
  • Aquatic Science
  • Ecology
  • Water Science and Technology
  • Soil Science
  • Geochemistry and Petrology
  • Earth-Surface Processes
  • Atmospheric Science
  • Earth and Planetary Sciences (miscellaneous)
  • Space and Planetary Science
  • Palaeontology

Cite this

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 and Satellite Remote Sensing. In: Journal of Geophysical Research: Atmospheres. 2018 ; Vol. 123, No. 10. pp. 5560-5587.
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title = "Observations of the Interaction and Transport of Fine Mode Aerosols With Cloud and/or Fog in Northeast Asia From Aerosol Robotic Network and Satellite Remote Sensing",
abstract = "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 midvisible) 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 covariation with atmospheric stability and convergence. The new development of Aerosol Robotic Network 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 Aerosol Robotic Network L1 SDA daily average fine mode AOD data showed that Moderate Resolution Imaging Spectroradiometer 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.",
author = "Eck, {T. F.} and Holben, {B. N.} and Reid, {J. S.} and P. Xian and Giles, {D. M.} and A. Sinyuk and A. Smirnov and Schafer, {J. S.} and I. Slutsker and J. Kim and Koo, {J. H.} and M. Choi and Kim, {K. C.} and I. Sano and A. Arola and Sayer, {A. M.} and Levy, {R. C.} and Munchak, {L. A.} and O'Neill, {N. T.} and A. Lyapustin and Hsu, {N. C.} and Randles, {C. A.} and {Da Silva}, {A. M.} and V. Buchard and Govindaraju, {R. C.} and E. Hyer and Crawford, {J. H.} and P. Wang and X. Xia",
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Eck, TF, Holben, BN, Reid, JS, Xian, P, Giles, DM, Sinyuk, A, Smirnov, A, Schafer, JS, Slutsker, I, Kim, J, Koo, JH, Choi, M, Kim, KC, Sano, I, Arola, A, Sayer, AM, Levy, RC, Munchak, LA, O'Neill, NT, Lyapustin, A, Hsu, NC, Randles, CA, Da Silva, AM, Buchard, V, Govindaraju, RC, Hyer, E, Crawford, JH, Wang, P & Xia, X 2018, 'Observations of the Interaction and Transport of Fine Mode Aerosols With Cloud and/or Fog in Northeast Asia From Aerosol Robotic Network and Satellite Remote Sensing', Journal of Geophysical Research: Atmospheres, vol. 123, no. 10, pp. 5560-5587. https://doi.org/10.1029/2018JD028313

Observations of the Interaction and Transport of Fine Mode Aerosols With Cloud and/or Fog in Northeast Asia From Aerosol Robotic Network 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.

In: Journal of Geophysical Research: Atmospheres, Vol. 123, No. 10, 27.05.2018, p. 5560-5587.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Observations of the Interaction and Transport of Fine Mode Aerosols With Cloud and/or Fog in Northeast Asia From Aerosol Robotic Network and Satellite Remote Sensing

AU - Eck, T. F.

AU - Holben, B. N.

AU - Reid, J. S.

AU - Xian, P.

AU - Giles, D. M.

AU - Sinyuk, A.

AU - Smirnov, A.

AU - Schafer, J. S.

AU - Slutsker, I.

AU - Kim, J.

AU - Koo, J. H.

AU - Choi, M.

AU - Kim, K. C.

AU - Sano, I.

AU - Arola, A.

AU - Sayer, A. M.

AU - Levy, R. C.

AU - Munchak, L. A.

AU - O'Neill, N. T.

AU - Lyapustin, A.

AU - Hsu, N. C.

AU - Randles, C. A.

AU - Da Silva, A. M.

AU - Buchard, V.

AU - Govindaraju, R. C.

AU - Hyer, E.

AU - Crawford, J. H.

AU - Wang, P.

AU - Xia, X.

PY - 2018/5/27

Y1 - 2018/5/27

N2 - 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 midvisible) 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 covariation with atmospheric stability and convergence. The new development of Aerosol Robotic Network 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 Aerosol Robotic Network L1 SDA daily average fine mode AOD data showed that Moderate Resolution Imaging Spectroradiometer 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.

AB - 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 midvisible) 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 covariation with atmospheric stability and convergence. The new development of Aerosol Robotic Network 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 Aerosol Robotic Network L1 SDA daily average fine mode AOD data showed that Moderate Resolution Imaging Spectroradiometer 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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