Accuracy assessments of aerosol optical properties retrieved from Aerosol Robotic Network (AERONET) Sun and sky radiance measurements

By Oleg Dubovik, Alexander Smirnov, Brent N. Holben, Michael D. King, Yoram J. Kaufman, Thomas F. Eck, Ilya Slutsker. 2000

1,686 citations recorded by the source corpus.

Subfields: Atmospheric Science, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/5ac95c6909b9c987b0397d2860b86e647528c4e9

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Citations in the corpus

Statistically optimized inversion algorithm for enhanced retrieval of aerosol properties from spectral multi-angle polarimetric satellite observations (2010, methodology): “Such retrieval assumption is based on the earlier AERONET sensitivity studies by Dubovik et al. (2000, 2006) that indicated major limitations in discriminating between refractive indices and shapes of aerosol particles of fine and coarse modes.”
Comparison of size and morphological measurements of coarse mode dust particles from Africa (2003, methodology): “Optical Inversion Methods [19] Inversions from spectral remote sensing data (surface or space-borne) are used to estimate particle properties based on spectral extinction and angular scattering information [e.g., Nakajima et al., 1996; Dubovik et al., 2000].”
The AERONET Version 3 aerosol retrieval algorithm, associated uncertainties and comparisons to Version 2 (2020, methodology): “The difference in U27 estimates and uncertainties of Dubovik et al. (2000) is explained by differences in estimating the magnitude of instrument-pointing bias.”
Application of spheroid models to account for aerosol particle nonsphericity in remote sensing of desert dust (2006, result): “Similarly, earlier studies [Dubovik et al., 2000, 2002a] showed that aerosol retrievals based on the assumption of spherical particles had a tendency to overestimate the concentration of fine particles (see section 4.1).”
Comparison of CALIOP level 2 aerosol subtypes to aerosol types derived from AERONET inversion data (2009, methodology): “The spectral AOD from AERONET are accurate to within ±0.01 [Dubovik et al., 2000; Eck et al., 1999].”
Saharan dust over a central European EARLINET‐AERONET site: Combined observations with Raman lidar and Sun photometer (2003, methodology): “effective values in between those assumed for the inhomogeneous spheres [Dubovik et al., 2000].”
Development of global aerosol models using cluster analysis of Aerosol Robotic Network (AERONET) measurements (2005, methodology): “For all AERONET measurements the accuracy of the single scattering albedo, and refractive indices decreases significantly for optical depths of less than 0.2 (at 441 nm) [ Dubovik et al., 2002a, 2000 ].”
Direct radiative effect of aerosols as determined from a combination of MODIS retrievals and GOCART simulations (2004, background): “Comparisons show that about two thirds of differences between the derived absorptive optical depth (tabs) and AERONET climatology are within ±0.01, i.e., the uncertainty of AERONET measurements [Dubovik et al., 2000; Dubovik and King, 2000; Kaufman et al., 2002b].”
Constraining the magnitude of the global dust cycle by minimizing the difference between a model and observations (2006, methodology): “The first data set consists of aerosol optical thickness (AOT) measurements from the Aerosol Robotic Network (AERONET) through the use of a worldwide array of CIMEL Sun/sky radiometers since the beginning of the 1990s (Holben et al., 1998; Dubovik et al., 2000; Holben et al., 2001).”
Variability and trends of aerosol properties over Kanpur, northern India using AERONET data (2001–10) (2012, background): “…algorithm (SDA) retrievals, aerosol columnar size distribution (CSD), single scattering albedo (SSA), asymmetry parameter, refractive index, fine and coarse-mode AODs are also available for large solar zenith angles (>50◦) and high aerosol loading conditions (AOD440 > 0.4) (Dubovik et al 2000).”
Variability of Absorption and Optical Properties of Key Aerosol Types Observed in Worldwide Locations (2002, methodology): “Particle nonsphericity was consistently observed in desert dust retrievals as the appearance of retrieval artifacts [high concentration of very small particles with r , 0.1 mm and strong spectral dependence of n(l)] associated with the presence of nonspherical particles (Dubovik et al. 2000).”