Assessment of satellite-based aerosol optical depth using continuous lidar observation

Abstract Due to a reliance on solar radiation, the aerosol optical depth (AOD) is observed only during the day by passive satellite-based instruments such as the MODerate resolution Imaging Spectroradiometer (MODIS). Research on urban air quality, atmospheric turbidity, and evolution of aerosols in the atmospheric boundary layer, however, requires 24-h measurement of aerosols. A lidar system is capable of detecting the vertical distribution of the aerosol extinction coefficient and calculating the AOD throughout the day, but routinely lidar observation is still quite limited and the results from MODIS and lidar sometimes are contradictory in China. In this study, long-term lidar observations from 2005 to 2009 over Hong Kong were analyzed with a focus on identification of the reasons for different seasonal variation in the AOD data obtained from MODIS and lidar. The lidar-retrieved AOD shows the lowest average level, but has the most significant diurnal variation during the summer. When considering only a 5-h period between 10:00 a.m. and 3:00 p.m. local time to match satellite passages, the average of the lidar-retrieved AOD doubles during the summer and exceeds that during the winter. This finding is consistent with the MODIS observation of a higher AOD during the summer and a lower AOD during the winter. The increase in the aerosol extinction coefficient in the upper level of the mixing layer makes the greatest contribution to the increase in the AOD at midday during the summer. These assessments suggest that large over-estimation may occur when long-term averages of AOD are estimated from passive satellite observations.

[1]  L. Remer,et al.  The Collection 6 MODIS aerosol products over land and ocean , 2013 .

[2]  Alexis K.H. Lau,et al.  A study of control policy in the Pearl River Delta region by using the particulate matter source apportionment method , 2013 .

[3]  Robert C. Levy,et al.  MODIS Collection 6 aerosol products: Comparison between Aqua's e‐Deep Blue, Dark Target, and “merged” data sets, and usage recommendations , 2014 .

[4]  B. Gross,et al.  Assessment of CALIPSO attenuated backscatter and aerosol retrievals with a combined ground-based multi-wavelength lidar and sunphotometer measurement , 2014 .

[5]  Judith C. Chow,et al.  Characteristics of carbonaceous aerosol in Pearl River Delta Region, China during 2001 winter period , 2003 .

[6]  Improvements in star photometry for aerosol characterizations , 2011 .

[7]  James D. Spinhirne,et al.  Micro pulse lidar , 1993, IEEE Trans. Geosci. Remote. Sens..

[8]  Alexis K.H. Lau,et al.  Long-term trends of ambient particulate matter emission source contributions and the accountability of control strategies in Hong Kong over 1998–2008 , 2013 .

[9]  Jiahua Zhang,et al.  Synergy of satellite and ground based observations in estimation of particulate matter in eastern China. , 2012, The Science of the total environment.

[10]  B. Weinzierl,et al.  Aerosol classification by airborne high spectral resolution lidar observations , 2012 .

[11]  J. Klett Lidar inversion with variable backscatter/extinction ratios. , 1985, Applied optics.

[12]  F. G. Fernald Analysis of atmospheric lidar observations: some comments. , 1984, Applied optics.

[13]  Alexis K.H. Lau,et al.  Long‐term measurement of daytime atmospheric mixing layer height over Hong Kong , 2013 .

[14]  Changqing Lin,et al.  Assessing Long-Term Trend of Particulate Matter Pollution in the Pearl River Delta Region Using Satellite Remote Sensing. , 2015, Environmental science & technology.

[15]  David D. Turner,et al.  Full-Time, Eye-Safe Cloud and Aerosol Lidar Observation at Atmospheric Radiation Measurement Program Sites: Instruments and Data Analysis , 2013 .

[16]  P. Formenti,et al.  Variability of aerosol vertical distribution in the Sahel , 2010 .

[17]  Alexis K.H. Lau,et al.  Analysis of aerosol vertical distribution and variability in Hong Kong , 2008 .

[18]  M. Perrone,et al.  Vertically resolved aerosol properties by multi-wavelength lidar measurements , 2013 .

[19]  Steven D. Miller,et al.  Strategy for studying nocturnal aerosol optical depth using artificial lights , 2008 .

[20]  Kaicun Wang,et al.  Estimation of atmospheric mixing layer height from radiosonde data , 2013 .

[21]  D. Kaskaoutis,et al.  Seasonal variation of surface and vertical profile of aerosol properties over a tropical urban station Hyderabad, India , 2013 .

[22]  Q. Min,et al.  Evidence of mineral dust altering cloud microphysics and precipitation , 2008 .

[23]  Liangfu Chen,et al.  Comparison and evaluation of the MODIS Collection 6 aerosol data in China , 2015 .

[24]  Steven D. Miller,et al.  Preliminary investigations toward nighttime aerosol optical depth retrievals from the VIIRS Day/Night Band , 2013 .

[25]  D. Seidel,et al.  Estimating climatological planetary boundary layer heights from radiosonde observations: Comparison of methods and uncertainty analysis , 2010 .

[26]  B. Holben,et al.  Global monitoring of air pollution over land from the Earth Observing System-Terra Moderate Resolution Imaging Spectroradiometer (MODIS) , 2003 .

[27]  C. Serio,et al.  Measurements of nighttime atmospheric optical depth preliminary data from a mountain site in southern Italy , 1998 .

[28]  Wei-Nai Chen,et al.  Columnar optical properties of tropospheric aerosol by combined lidar and sunphotometer measurements at Taipei, Taiwan , 2009 .

[29]  Wenzhong Shi,et al.  Analysis of Airborne Particulate Matter (PM2.5) over Hong Kong Using Remote Sensing and GIS , 2012, Sensors.

[30]  Jen-Ping Chen,et al.  Interpreting aerosol lidar profiles to better estimate surface PM2.5 for columnar AOD measurements , 2013 .

[31]  Jietai Mao,et al.  Characteristics of distribution and seasonal variation of aerosol optical depth in eastern China with MODIS products , 2003, Science Bulletin.

[32]  Didier Tanré,et al.  Aerosol vertical distribution and optical properties over M'Bour (16.96 W; 14.39 N), Senegal from 2006 to 2008 , 2009 .

[33]  Soon-Chang Yoon,et al.  Seasonal and monthly variations of columnar aerosol optical properties over East Asia determined from multi-year MODIS, LIDAR, and AERONET Sun/sky radiometer measurements , 2007 .

[34]  Jie Xuan,et al.  Dust emission inventory in Northern China , 2000 .

[35]  J. Fung,et al.  Using satellite remote sensing data to estimate the high-resolution distribution of ground-level PM2.5 , 2015 .

[36]  T. Eck,et al.  Nocturnal Aerosol Optical Depth Measurements with a Small-Aperture Automated Photometer Using the Moon as a Light Source , 2011 .

[37]  Alexis K.H. Lau,et al.  Estimation of long-term population exposure to PM2.5 for dense urban areas using 1-km MODIS data , 2016 .

[38]  Chih-Wei Chiang,et al.  Optical properties of tropospheric aerosols based on measurements of lidar, sun-photometer, and visibility at Chung-Li (25°N, 121°E) , 2007 .

[39]  K. Moorthy,et al.  Radiative effects of natural aerosols: A review , 2005 .

[40]  Christos Zerefos,et al.  Four‐year aerosol observations with a Raman lidar at Thessaloniki, Greece, in the framework of European Aerosol Research Lidar Network (EARLINET) , 2005 .

[41]  A. Smirnov,et al.  AERONET-a federated instrument network and data archive for aerosol Characterization , 1998 .

[42]  G. Leeuw,et al.  Exploring the relation between aerosol optical depth and PM 2.5 at Cabauw, the Netherlands , 2008 .

[43]  Deng Zhao-Ze,et al.  Dependence of Mixed Aerosol Light Scattering Extinction on Relative Humidity in Beijing and Hong Kong , 2013 .

[44]  Boon N. Chew,et al.  Characterizing the vertical profile of aerosol particle extinction and linear depolarization over Southeast Asia and the Maritime Continent: The 2007–2009 view from CALIOP , 2013 .

[45]  A. Lau,et al.  A study on the aerosol extinction-to-backscatter ratio with combination of micro-pulse LIDAR and MODIS over Hong Kong , 2006 .

[46]  O. Boucher,et al.  A satellite view of aerosols in the climate system , 2002, Nature.

[47]  L. Zhong,et al.  Characteristics of particulate matter pollution in the Pearl River Delta region, China: an observational-based analysis of two monitoring sites. , 2011, Journal of environmental monitoring : JEM.

[48]  Jun Wang,et al.  Potential application of VIIRS Day/Night Band for monitoring nighttime surface PM 2.5 air quality from space , 2016 .

[49]  Altaf Arain,et al.  A review and evaluation of intraurban air pollution exposure models , 2005, Journal of Exposure Analysis and Environmental Epidemiology.

[50]  Z. Yuan,et al.  Science–policy interplay: Air quality management in the Pearl River Delta region and Hong Kong , 2013 .

[51]  BI Xue-yan THE PERFORMANCE EVALUATION AND DATA CORRECTION OF THE FORWARD SCATTERING VISIBILITY SENSOR , 2010 .

[52]  J. Notholt,et al.  Continuous day and night aerosol optical depth observations in the Arctic between 1991 and 1999 , 2002 .

[53]  Significance of multiple scattering from tropospheric aerosols for ground-based backscatter lidar measurements. , 1999, Applied optics.

[54]  Ellsworth J. Welton,et al.  Measurements of aerosol vertical profiles and optical properties during INDOEX 1999 using micropulse lidars , 2002 .

[55]  Yan-lin Zhang,et al.  Fine particulate matter (PM2.5) in China at a city level , 2015, Scientific Reports.

[56]  Alexis K.H. Lau,et al.  Developing a high-resolution wind map for a complex terrain with a coupled MM5/CALMET system , 2007 .

[57]  Hugh H. Kieffer,et al.  Photometric stability of the lunar surface , 1997 .