Multiangle Imaging SpectroRadiometer global aerosol product assessment by comparison with the Aerosol Robotic Network
By Ralph A. Kahn, Barbara J. Gaitley, M. Garay, David J. Diner, Thomas F. Eck, Alexander Smirnov, Brent N. Holben. 2010
513 citations recorded by the source corpus.
[1] A statistical approach is used to assess the quality of the Multiangle Imaging SpectroRadiometer (MISR) version 22 (V22) aerosol products. Aerosol optical depth (AOD) retrieval results are improved relative to the early postlaunch values reported by [Kahn et al. (2005)], which varied with particle type category. Overall, about 70% to 75% of MISR AOD retrievals fall within 0.05 or 20% × AOD of the paired validation data from the Aerosol Robotic Network (AERONET), and about 50% to 55% are within 0.03 or 10% x AERONET AOD, except at sites where dust or mixed dust and smoke are commonly found. Retrieved particle microphysical properties amount to categorical values, such as three size groupings: "small," "medium," and "large." For particle size, ground-based AERONET sun photometer Angstrom exponents are used to assess statistically the corresponding MISR values, which are interpreted in terms of retrieved size categories. Coincident single-scattering albedo (SSA) and fraction AOD spherical data are too limited for statistical validation. V22 distinguishes two or three size bins, depending on aerosol type, and about two bins in SSA (absorbing vs. nonabsorbing), as well as spherical vs. nonspherical particles, under good retrieval conditions. Particle type sensitivity varies considerably with conditions and is diminished for midvisible AODs below about 0.15 or 0.2. On the basis of these results, specific algorithm upgrades are proposed and are being investigated by the MISR team for possible implementation in future versions of the product.
Subfields: Atmospheric Science, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/094a1239115db66ffff9ed93a0f1efb26cea525d
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In Atmospheric Science
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Citations in the corpus
- Using the OMI aerosol index and absorption aerosol optical depth to evaluate the NASA MERRA Aerosol Reanalysis (2014, result): “Part of this bias may be explained by the tendency of MISR AOD to be overestimated over ocean compared with MODIS and AERONET, as noticed by Kahn et al. (2009, 2010), especially for low AOD below 0.25.”
- Decadal-scale trends in regional aerosol particle properties and their linkage to emission changes (2017, background): “The errors anticipated over land and ocean in MISR AOD data are on the order of ±0.05 or ± (0.20 AOD), whichever is higher (Kahn et al 2005, Kahn et al 2010).”
- Enhancement of aerosol characterization using synergy of lidar and sun - photometer coincident observations: the GARRLiC algorithm (2013, unknown): “…is widely used for validating satellite observations (e.g.Remer et al., 2002, 2005; Schuster et al., 2012; Hasekamp et al., 2011; Yoon et al., 2011; Kahn et al., 2010; Ahmad et al., 2010) and constraining aerosol properties in climate simulation efforts (e.g.Kinne et al., 2003, 2006; Textor et…”
- CALIOP and AERONET aerosol optical depth comparisons: One size fits none (2013, background): “Multi-angle Imaging SpectroRadiometer (MISR) and AERONET AOD (ta) are generally in agreement with 70% to 75% of MISR AOD within 0.05ta [Kahn et al., 2005, 2010].”
- Directional Polarimetric Camera (DPC): Monitoring aerosol spectral optical properties over land from satellite observation (2018, background): “[28] Kahn RA , Gaitley BJ , Garay MJ , Diner DJ , Eck TF , Smirnov A , et al.”
- State of the climate in 2010 (2011, methodology): “This is also confirmed by independent AOD observations from the Multi-angle Imaging SpectroRadiometer (MISR; Kahn et al. 2010), shown in Fig.”
- Global observations of aerosol‐cloud‐precipitation‐climate interactions (2014, background): “…in many references [e.g., Nakajima and Higurashi, 1998; Veefkind et al., 1998; Mishchenko et al., 1999; North, 2002; Martonchik et al., 2009; Kahn et al., 2010; Remer et al., 2005; Levy et al., 2010, and references therein; see also Kokhanovsky and de Leeuw, 2009 and de Leeuw et al., 2011…”