Abstract
Abstract. In the present study we compare the MODIS (Moderate Resolution Imaging Spectroradiometer) derived aerosol optical depth (AOD) data with that obtained from operating sky-radiometer at a remote rural location in southern India (Gadanki, 13.45° N, 79.18° E) from April 2008 to March 2011. While the comparison between total (coarse mode + fine mode) AODs shows correlation coefficient (R) value of about 0.71 for Terra and 0.77 for Aqua, if one separates the AOD into fine and coarse mode, the comparison becomes very poor, particularly for fine mode with an R value of 0.44 for both Terra and Aqua. The coarse mode AOD derived from MODIS and sky-radiometer compare better with an R value of 0.74 for Terra and 0.66 for Aqua. The seasonal variation is also well captured by both ground-based and satellite measurements. It is shown that both the total AOD and fine mode AOD are significantly underestimated with slope of regression line 0.75 and 0.35 respectively, whereas the coarse mode AOD is overestimated with a slope value of 1.28 for Terra. Similar results are found for Aqua where the slope of the regression line for total AOD and fine mode AOD are 0.72 and 0.27 whereas 0.95 for coarse mode. The fine mode fraction derived from MODIS data is less than one-half of that derived from the sky-radiometer data. Based on these observations and comparison of single scattering albedo observed using sky-radiometer with that of MODIS aerosol models, we argue that the selection of aerosol types used in the MODIS retrieval algorithm may not be appropriate particularly in the case of southern India. Instead of selecting a moderately absorbing aerosol model (as being done currently in the MODIS retrieval) a more absorbing aerosol model could be a better fit for the fine mode aerosols, while reverse is true for the coarse mode aerosols, where instead of using "dust aerosols" which is relatively absorbing type, usage of coarse sea-salt particles which is less absorbing is more appropriate. However, not all the differences could be accounted based on aerosol model, other factors like errors in retrieval of surface reflectance may also be significant in causing underestimation of AOD by MODIS.
Highlights
Detailed knowledge on atmospheric aerosols is necessary as they play a very important role in determining Earth’s radiation budget by scattering and absorbing incoming solar radiation and by modifying cloud microphysical properties (Haywood and Boucher, 2000; Ramanathan et al, 2001)
Objective of the current study is to examine the dynamics of aerosol size-distribution in terms of fine mode fraction of aerosol optical depth (AOD) over a tropical continental and remote location (Gadanki; 13.45◦ N, 79.18◦ E) and to validate MODIS derived fine mode fraction with ground-truth data obtained using a sky-radiometer
Lower wavelength AOD values are more sensitive to smaller size particles and higher wavelength AOD values are more sensitive to coarse mode particles and forms the basis for retrieving columnar aerosol size distribution
Summary
Detailed knowledge on atmospheric aerosols is necessary as they play a very important role in determining Earth’s radiation budget by scattering and absorbing incoming solar radiation and by modifying cloud microphysical properties (Haywood and Boucher, 2000; Ramanathan et al, 2001). Methods exist that can derive these two parameters from spectral observation of AOD and sky-radiances from ground-based sky-radiometer (Nakajima et al, 1996; Dubovik and King, 2000; O’Neill et al, 2003) Both the size distribution and the refractive index of aerosol are highly variable in space and time. Levy et al (2010) mention that the fine mode fraction (referred as weighting parameter ETA in their article) have little physical validity and primarily reflect algorithm assumption about particle type. Inaccuracies in spectral surface reflectance estimates have bearing on spectral AOD retrieval (Jethva et al, 2010) These are a few of various factors that affect accuracy of MODIS fine mode fraction. Along with size resolved properties, present study compares the MODIS total AOD against ground measurements
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