Application of spheroid models to account for aerosol particle nonsphericity in remote sensing of desert dust

By Oleg Dubovik, Alexander Sinyuk, Tatyana Lapyonok, Brent N. Holben, M. I. Mishchenko, Ping Yang, Thomas F. Eck, H. Volten, O. Muñoz, B. Veihelmann and 4 more. 2006

1,437 citations recorded by the source corpus.

Subfields: Atmospheric Science, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/35bbe0d45ffbd29d14c9c6f01fc29985eff208b6

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Atmospheric Science

In Global and Planetary Change

Citations in the corpus

Sensor Capability and Atmospheric Correction in Ocean Colour Remote Sensing (2015, methodology): “The availability of data from AERONET has paved the way for the creation of aerosol models [159,162].”
Statistically optimized inversion algorithm for enhanced retrieval of aerosol properties from spectral multi-angle polarimetric satellite observations (2010, methodology): “Specifically, AERONET operational retrievals use the concept developed by Dubovik et al. (2006) and model the particles for each size bin as a mixture of spherical and non-spherical aerosol components.”
Impact of radiatively interactive dust aerosols in the NASA GEOS‐5 climate model: Sensitivity to dust particle shape and refractive index (2014, background): “[2011] and (ii) a spheroidal distribution from Dubovik et al. [2006]. Spheroids are a special case of triaxial ellipsoids and so are encompassed by the Meng et al. [2010] database (see their Figure 1).”
Aerosol light absorption and its measurement: A review (2009, background): “MD aerosol morphology is generally non-spherical and not well classified [234] making calculations of MD aerosol optical properties more challenging with spherical [235] or spheroidal [168] model shapes being frequently used.”
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].”
Depolarization ratio profiling at several wavelengths in pure Saharan dust during SAMUM 2006 (2009, background): “Thus, observations of the linear depolarization ratio at several wavelengths may be used in retrieval schemes (Dubovik et al., 2006) to improve the estimation of the microphysical properties of dust from optical measurements (D.”
Comprehensive Study of Optical, Physical, Chemical, and Radiative Properties of Total Columnar Atmospheric Aerosols over China: An Overview of Sun-Sky Radiometer Observation Network (SONET) Measurements (2017, background): “Most of these data products are described in the AERONET documentations (e.g., Holben et al. 1998; Dubovik and King 2000; Dubovik et al. 2006).”
Improved Aerosol Processes and Effective Radiative Forcing in HadGEM3 and UKESM1 (2018, neutral): “AERONET = Aerosol Robotic Network; AOD = Aerosol optical depth. increases in GA7.”
Potential of polarization lidar to provide profiles of CCN- and INP-relevant aerosol parameters (2015, methodology): “…measurements and sky radiance observations at 4 wavelengths the column-integrated particle size distribution is retrieved (Dubovik and King, 2000; Dubovik et al., 2006), which then280 allows to compute particle volume concentration, surface area (column s), and column-integrated particle number…”