Latest decade's spatial-temporal properties of aerosols over China

Aerosols are one of the most important parameters affecting the Earth's energy balance and hydrological cycle1. They can arouse uncertainties effects on climates. To narrow the uncertainties associated with the direct and indirect aerosol effects on climates, the spatial-temporal properties of aerosol over China are investigated using the radiance measurements performed by the Moderate Resolution Imaging Spectroradiometer (MODIS) instrument on board the Terra and Aqua satellites from 2002 to 2010. The most prominent variational regions are the northern, eastern China. The high AOD values occur in 2004, 2006 and 2007 year, respectively. The tendencies of AOD are in good agreement with corresponding AOD tendencies based on data from Aerosol Robotic Network (AERONET) stations in the study regions2. Seasonal AOD maxima are obtained in spring (March to May) and summer (June to August) seasons, due to large humidity and biomass burning, respectively. Dust activities in spring are frequent occurrences that also lead to high aerosol loading. AOD minima are obtained in winter (December to February) seasons. The result of our analysis reveal significant trend of seasonal AOD in the Northern and Southern China.

[1]  Veerabhadran Ramanathan,et al.  Solar radiation budget and radiative forcing due to aerosols and clouds , 2008 .

[2]  Tami C. Bond,et al.  Analysis of Multi‐angle Imaging SpectroRadiometer (MISR) aerosol optical depths over greater India during winter 2001–2004 , 2004 .

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

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

[5]  Alexander Smirnov,et al.  Multiangle Imaging SpectroRadiometer global aerosol product assessment by comparison with the Aerosol Robotic Network , 2010 .

[6]  Zhengqiang Li,et al.  Aerosol variability over East Asia as seen by POLDER space-borne sensors , 2010 .

[7]  David J. Diner,et al.  Quantifying aerosol direct radiative effect with Multiangle Imaging Spectroradiometer observations: Top-of-atmosphere albedo change by aerosols based on land surface types , 2009 .

[8]  Jietai Mao,et al.  Characteristics of the aerosol optical depth distributions over Sichuan Basin derived from MODIS data , 2003 .

[9]  B. Holben,et al.  Validation of MODIS aerosol retrieval over ocean , 2002 .

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

[11]  H. Che,et al.  Spatio-temporal variation trends of satellite-based aerosol optical depth in China during 1980-2008 , 2011 .

[12]  A. J. Miller,et al.  Factors affecting the detection of trends: Statistical considerations and applications to environmental data , 1998 .

[13]  Wu Dui,et al.  A REVIEW AND OUTLOOK ON THE AEROSOL STUDY OVER SOUTH CHINA , 2003 .

[14]  Paul Ginoux,et al.  A Long-Term Record of Aerosol Optical Depth from TOMS Observations and Comparison to AERONET Measurements , 2002 .

[15]  Jeffrey S. Reid,et al.  A decadal regional and global trend analysis of the aerosol optical depth using a data-assimilation grade over-water MODIS and Level 2 MISR aerosol products , 2010 .

[16]  B. Holben,et al.  A spatio‐temporal approach for global validation and analysis of MODIS aerosol products , 2002 .

[17]  Peter R. J. North,et al.  The inter-comparison of major satellite aerosol retrieval algorithms using simulated intensity and polarization characteristics of reflected light , 2009 .

[18]  W. Collins,et al.  An AeroCom Initial Assessment - Optical Properties in Aerosol Component Modules of Global Models , 2005 .

[19]  L. Weiliang,et al.  Characteristics of the spatial distribution and yearly variation of aerosol optical depth over China in last 30 years , 2001 .

[20]  E. Vermote,et al.  The MODIS Aerosol Algorithm, Products, and Validation , 2005 .

[21]  Anup K. Prasad,et al.  Comparison of MISR-MODIS aerosol optical depth over the Indo-Gangetic basin during the winter and summer seasons (2000-2005) , 2007 .

[22]  Bernard Pinty,et al.  Techniques for the retrieval of aerosol properties over land and ocean using multiangle imaging , 1998, IEEE Trans. Geosci. Remote. Sens..

[23]  Yoram J. Kaufman,et al.  Evaluation of the Moderate‐Resolution Imaging Spectroradiometer (MODIS) retrievals of dust aerosol over the ocean during PRIDE , 2003 .

[24]  Alexander Smirnov,et al.  Development of a Global Validation Package for Satellite Oceanic Aerosol Optical Thickness Retrieval Based on AERONET Observations and Its Application to NOAA/NESDIS Operational Aerosol Retrievals. , 2002 .

[25]  Oleg Dubovik,et al.  Global aerosol optical properties and application to Moderate Resolution Imaging Spectroradiometer aerosol retrieval over land , 2007 .

[26]  J. Coakley,et al.  Climate Forcing by Anthropogenic Aerosols , 1992, Science.

[27]  Bernard Pinty,et al.  Multi-angle Imaging SpectroRadiometer (MISR) instrument description and experiment overview , 1998, IEEE Trans. Geosci. Remote. Sens..

[28]  Zheng Fang-cheng,et al.  Inventory of atmospheric pollutants discharged from biomass burning in China continent , 2005 .

[29]  G. Stenchikov,et al.  The impact of aerosols on solar ultraviolet radiation and photochemical smog. , 1997, Science.

[30]  B. Holben,et al.  Validation of MODIS aerosol optical depth retrieval over land , 2002 .

[31]  Brent N. Holben,et al.  An analysis of potential cloud artifacts in MODIS over ocean aerosol optical thickness products , 2005 .

[32]  D. Tanré,et al.  Remote sensing of aerosol properties over oceans using the MODIS/EOS spectral radiances , 1997 .

[33]  Brian Cairns,et al.  Long-Term Satellite Record Reveals Likely Recent Aerosol Trend , 2007, Science.

[34]  R. Betts,et al.  Changes in Atmospheric Constituents and in Radiative Forcing. Chapter 2 , 2007 .

[35]  Xavier Querol,et al.  Spatial and temporal variability in aerosol properties over the Mediterranean basin based on 6-year (2000-2006) MODIS data , 2008 .

[36]  Yoram J. Kaufman,et al.  MODIS Cloud screening for remote sensing of aerosols over oceans using spatial variability , 2002 .

[37]  J. Lelieveld,et al.  The Indian Ocean Experiment: Widespread Air Pollution from South and Southeast Asia , 2001, Science.

[38]  T. Eck,et al.  An emerging ground-based aerosol climatology: Aerosol optical depth from AERONET , 2001 .

[39]  Zhanqing Li,et al.  Seasonal variations in aerosol optical properties over China , 2008 .

[40]  A. Kokhanovsky,et al.  Aerosol remote sensing over land: A comparison of satellite retrievals using different algorithms and instruments , 2007, Atmospheric Research.

[41]  David J. Diner,et al.  Retrieval of aerosol properties over land using MISR observations , 2009 .

[42]  Yang Liu,et al.  Review of the applications of Multiangle Imaging SpectroRadiometer to air quality research , 2009 .

[43]  Jun Wang,et al.  Intercomparison between multi-angle imaging spectroradiometer and sunphotometer aerosol optical thickness in dust source regions over China: implications for satellite aerosol retrievals and radiative forcing calculations , 2004 .

[44]  E. Vermote,et al.  Operational remote sensing of tropospheric aerosol over land from EOS moderate resolution imaging spectroradiometer , 1997 .

[45]  Lorraine Remer,et al.  MISR Aerosol Product Attributes and Statistical Comparisons With MODIS , 2009, IEEE Transactions on Geoscience and Remote Sensing.