globalchange  > 气候减缓与适应
DOI: 10.1029/2018JD028313
Scopus ID: 2-s2.0-85047839407
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
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.
Source Publication: Journal of Geophysical Research: Atmospheres
ISSN: 2169897X
Publishing Year: 2018
Volume: 123, Issue:10
pages begin: 5560
pages end: 5587
Language: 英语
Keyword: cloud interaction ; fine mode aerosol ; Northeast Asia ; remote sensing
English 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. ©2018. American Geophysical Union. All Rights Reserved.
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被引频次[WOS]:16   [查看WOS记录]     [查看WOS中相关记录]
Document Type: 期刊论文
Appears in Collections:气候减缓与适应

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Affiliation: NASA Goddard Space Flight Center, Greenbelt, MD, United States; Universities Space Research Association, Columbia, MD, United States; Naval Research Laboratory, Monterey, CA, United States; Science Systems Applications, Inc., Lanham, MD, United States; Department of Atmospheric Sciences, Yonsei University, Seoul, South Korea; Gwangju Institute of Science and Technology, Gwangju, South Korea; Informatics Department, Kindai University, Osaka, Japan; Finnish Meteorological Institute, Kuopio, Finland; Centre d'Applications et de Recherches en Télédétection, Université de Sherbrooke, Sherbrooke, QC, Canada; Now at ExxonMobil Research and Engineering Company, Annandale, NJ, United States; NASA Langley Research Center, Hampton, VA, United States; LAGEO, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China

Recommended Citation:
Eck T.F.,Holben B.N.,Reid J.S.,et al. 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[J]. Journal of Geophysical Research: Atmospheres,2018-01-01,123(10)
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