A flexible inversion algorithm for retrieval of aerosol optical properties from Sun and sky radiance measurements

By Oleg Dubovik, Michael D. King. 2000

2,417 citations recorded by the source corpus.

Subfields: Atmospheric Science, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/18a91fecd5874a472c7a41118b9fb69d3572ad49

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Citations in the corpus

Constraining the magnitude of the global dust cycle by minimizing the difference between a model and observations (2006, methodology): “Our conclusions are given in section 6.”
Aerosols and surface UV products from Ozone Monitoring Instrument observations: An overview (2007, methodology): “The aerosol particle size distribution and optical properties are derived by fitting measurements of the spectral AOD and sky radiances to radiative transfer calculations [Dubovik and King, 2000].”
Improved Aerosol Processes and Effective Radiative Forcing in HadGEM3 and UKESM1 (2018, neutral): “AERONET = Aerosol Robotic Network; AOD = Aerosol optical depth. increases in GA7.”
Instrument calibration and aerosol optical depth validation of the China Aerosol Remote Sensing Network (2009, methodology): “Aerosol size distribution, refractive index, and single-scattering albedo are retrieved by using sky radiance almucantar measurements and direct sun measurements [ Dubovik and King, 2000; Dubovik et al., 2000] as well as polarized radiances in the sun principal plane [Li et al., 2006, 2007].”
Aerosol climatology: on the discrimination of aerosol types over four AERONET sites (2007, positive): “Sky radiance almucantar measurements in conjunction with direct Sun measurements of AOT at 440, 675, 870 and 1020 nm are20 also used to retrieve aerosol columnar size distributions (from 0.05 to 15µm), single scattering albedo, and refractive indices Dubovik and King (2000).”
Variability of Absorption and Optical Properties of Key Aerosol Types Observed in Worldwide Locations (2002, methodology): “Comparison of retrievals from all of these techniques with the addition of the Kaashidho Climate Observatory (KCO) AERONET (‘‘KCO-AERONET’’) retrieval (Dubovik and King 2000) was presented by Ramanathan et al. (2001). The v0 values estimated for 530 nm obtained by these diverse methods for the Maldi”
Comparison of aerosol size distributions, radiative properties, and optical depths determined by aircraft observations and Sun photometers during SAFARI 2000 (2003, methodology): “018i for the C-130 measurements/ modeling given that the variability during the day (1 standard deviation) in the Dubovik and King [2000] derived im is 0.002 and the errors quoted byDubovik et al. [2000] are 30%. [36] The mean wo from the Dubovik and King [2000] retrieval during the day is 0.88, 0.8”
Multiangle Imaging Spectroradiometer (MISR) global aerosol optical depth validation based on 2 years of coincident Aerosol Robotic Network (AERONET) observations (2005, methodology): “Testing in detail the results of multimodal retrievals will require additional ground-truth data not collected for the present study, such as AERONET sky-scan observations [Dubovik and King, 2000] since the Angstrom exponent alone cannot distinguish changes in component particle effective size from ”
Angstrom exponent and bimodal aerosol size distributions (2006, methodology): “Additionally, the AERONET radiometers periodically perform sky radiance scans which enable the retrieval of column-averaged aerosol size distributions and refractive indices [Dubovik and King , 2000; Dubovik et al., 2000].”
Application of spheroid models to account for aerosol particle nonsphericity in remote sensing of desert dust (2006, methodology): “We assume that all input data have lognormal error distribution [Dubovik and King, 2000; Dubovik, 2004]; that is, all measurements and parameters are used in logarithmic space.”
Second‐generation operational algorithm: Retrieval of aerosol properties over land from inversion of Moderate Resolution Imaging Spectroradiometer spectral reflectance (2007, methodology): “The AERONET sky radiance measurements are made less often (about once per hour), and are inverted simultaneously either assuming spherical aerosol particles [Dubovik and King, 2000] and/or spheroid particles [Dubovik et al., 2002; Dubovik et al., 2006].”
Single-scattering properties of tri-axial ellipsoidal mineral dust aerosols: A database for application to radiative transfer calculations (2010, methodology): “Following Twomey (1977), King, Byrne, Herman, and Reagan (1978), Dubovik and King (2000), and Dubovik et al. (2004, 2006), we have applied the kernel technique to preserve the accuracy in numerical integration for various applications associated with this database.”
Spectral discrimination of coarse and fine mode optical depth (2003, positive): “[17] Figures 6a, 6b, and 6c show the temporal correlation obtained between estimates of tf and tc from the spectral inversion compared with those obtained from the spectral extinction and sky radiance inversion of Dubovik and King [2000]. The data are not cloud-screened in the operational”
Saharan dust over a central European EARLINET‐AERONET site: Combined observations with Raman lidar and Sun photometer (2003, methodology): “For this purpose the measured sky brightness is modeled with a Mie code and radiative-transfer calculations [Dubovik and King, 2000; Dubovik et al., 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].”