A New Algorithm for Retrieving Aerosol Properties Over Land from MODIS Spectral Reflectance

Since first light in early 2000, operational global quantitative retrievals of aerosol properties over land have been made from MODIS observed spectral reflectance. These products have been continuously evaluated and validated, and opportunities for improvements have been noted. We have replaced the original algorithm by improving surface reflectance assumptions, the aerosol model optical properties and the radiative transfer code used to create the lookup tables. The new algorithm (known as Version 5.2 or V5.2) performs a simultaneous inversion of two visible (0.47 and 0.66 micron) and one shortwave-IR (2.12 micron) channel, making use of the coarse aerosol information content contained in the 2.12 micron channel. Inversion of the three channels yields three nearly independent parameters, the aerosol optical depth (tau) at 0.55 micron, the non-dust or fine weighting (eta) and the surface reflectance at 2.12 micron. Finally, retrievals of small magnitude negative tau values (down to -0.05) are considered valid, thus normalizing the statistics of tau in near zero tau conditions. On a 'test bed' of 6300 granules from Terra and Aqua, the products from V5.2 show marked improvement over those from the previous versions, including much improved retrievals of tau, where the MODIS/AERONET tau (at 0.55 micron) regression has an equation of: y = 1.01+0.03, R = 0.90. Mean tau for the test bed is reduced from 0.28 to 0.21.

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

[2]  Oleg Dubovik,et al.  Non‐spherical aerosol retrieval method employing light scattering by spheroids , 2002 .

[3]  Didier Tanré,et al.  Second Simulation of the Satellite Signal in the Solar Spectrum, 6S: an overview , 1997, IEEE Trans. Geosci. Remote. Sens..

[4]  M. Chin,et al.  Aerosol anthropogenic component estimated from satellite data , 2005 .

[5]  T. Eck,et al.  Wavelength dependence of the optical depth of biomass burning, urban, and desert dust aerosols , 1999 .

[6]  Y. Kaufman,et al.  Dynamic aerosol model: Urban/industrial aerosol , 1998 .

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

[8]  Lorraine Remer,et al.  Angular and seasonal variation of spectral surface reflectance ratios: implications for the remote sensing of aerosol over land , 2001, IEEE Trans. Geosci. Remote. Sens..

[9]  W. Wiscombe Improved Mie scattering algorithms. , 1980, Applied optics.

[10]  T. Eck,et al.  Comparison of Moderate Resolution Imaging Spectroradiometer (MODIS) and Aerosol Robotic Network (AERONET) remote-sensing retrievals of aerosol fine mode fraction over ocean , 2005 .

[11]  Yoram J. Kaufman,et al.  Relationship between surface reflectance in the visible and mid‐IR used in MODIS aerosol algorithm ‐ theory , 2002 .

[12]  D. Chu,et al.  Testing the MODIS Satellite Retrieval of Aerosol Fine-Mode Fraction , 2005 .

[13]  R. Levy,et al.  Global Aerosol Optical Models and Lookup Tables for the New MODIS Aerosol Retrieval over Land , 2007 .

[14]  B. Holben,et al.  MODIS observation of aerosols and estimation of aerosol radiative forcing over southern Africa during SAFARI 2000 , 2003 .

[15]  Graeme L. Stephens,et al.  A new polarized atmospheric radiative transfer model , 1991 .

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

[17]  C. Tucker Red and photographic infrared linear combinations for monitoring vegetation , 1979 .

[18]  Y. Kaufman,et al.  Algorithm for atmospheric corrections of aircraft and satellite imagery , 1992 .

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

[20]  Lorraine Remer,et al.  The MODIS 2.1-μm channel-correlation with visible reflectance for use in remote sensing of aerosol , 1997, IEEE Trans. Geosci. Remote. Sens..

[21]  Lorraine Remer,et al.  Effects of neglecting polarization on the MODIS aerosol retrieval over land , 2004, IEEE Transactions on Geoscience and Remote Sensing.

[22]  M. McCormick,et al.  Development of global aerosol models using cluster analysis of Aerosol Robotic Network (AERONET) measurements , 2005 .

[23]  Michael D. King,et al.  Sensitivity of off-nadir zenith angles to correlation between visible and near-infrared reflectance for use in remote sensing of aerosol over land , 2001, IEEE Trans. Geosci. Remote. Sens..

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

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

[26]  T. Eck,et al.  Spectral discrimination of coarse and fine mode optical depth , 2003 .

[27]  D. Chu,et al.  Improving National Air Quality Forecasts with Satellite Aerosol Observations , 2005 .

[28]  Yoram J. Kaufman,et al.  Evaluation of the MODIS Aerosol Retrievals over Ocean and Land during CLAMS , 2005 .

[29]  J. Slusser,et al.  On Rayleigh Optical Depth Calculations , 1999 .

[30]  Yoram J. Kaufman,et al.  Evaluation of aerosol properties over ocean from Moderate Resolution Imaging Spectroradiometer (MODIS) during ACE-Asia , 2005 .

[31]  Alexei I. Lyapustin Three-dimensional effects in the remote sensing of surface albedo , 2001, IEEE Trans. Geosci. Remote. Sens..

[32]  M. Chin,et al.  A review of measurement-based assessments of the aerosol direct radiative effect and forcing , 2005 .

[33]  Y. Kaufman,et al.  Algorithm for automatic atmospheric corrections to visible and near-IR satellite imagery , 1988 .

[34]  J. Houghton,et al.  Climate change 2001 : the scientific basis , 2001 .

[35]  Michael D. King,et al.  A flexible inversion algorithm for retrieval of aerosol optical properties from Sun and sky radiance measurements , 2000 .

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

[37]  Lorraine Remer,et al.  Snow and ice mask for the MODIS aerosol products , 2005, IEEE Geoscience and Remote Sensing Letters.