Variability of aerosol and spectral lidar and backscatter and extinction ratios of key aerosol types derived from selected Aerosol Robotic Network locations
By Christopher Cattrall, John A. Reagan, K. Thome, Oleg Dubovik. 2005
316 citations recorded by the source corpus.
Subfields: Atmospheric Science, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/70cbf9064395f464aca3daede07aca5abb248821
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
- Albert Ansmann
- Mark A. Vaughan
- Brent N. Holben
- D. Winker
- Ali H. Omar
- Oleg Dubovik
- Kathleen Powell
- Zhaoyan Liu
In Global and Planetary Change
- Albert Ansmann
- Mark A. Vaughan
- D. Winker
- Brent N. Holben
- Ali H. Omar
- Oleg Dubovik
- Kathleen Powell
- Zhaoyan Liu
Citations in the corpus
- First retrieval of tropospheric aerosol profiles using MAX-DOAS and comparison with lidar and sky radiometer measurements (2008, unknown): “According to the estimates by previous studies for Aerosol Robotic Network (AERONET) locations and Tsukuba (Cattrall et al., 2005; Tatarov et al., 2006), the S ratio can vary by more than 30%, with resulting errors in k due to the use of a fixed S value occasionally exceeding 30%. Only k data for wh”
- Absorption Angstrom Exponent in AERONET and related data as an indicator of aerosol composition (2009, methodology): “Indeed, Cattrall et al. (2005) have developed an objective cluster analysis technique that combines 4 different lidar-derived variables to classify aerosol type, using as a basis retrievals of aerosol properties at 26 AERONET sites.”
- Aerosol-type-dependent lidar ratios observed with Raman lidar (2007, methodology): “In section 4 we compare our results with the data set provided by Cattrall et al. [2005], and we discuss the deviations found.”
- The CALIPSO Lidar Cloud and Aerosol Discrimination: Version 2 Algorithm and Initial Assessment of Performance (2009, background): “Lidar ratios for dust are normally higher, ranging from 30 to 80 sr at 532 nm (e.g., Liu et al. 2002; Cattrall et al. 2005; Muller et al. 2007).”
- Application of spheroid models to account for aerosol particle nonsphericity in remote sensing of desert dust (2006, methodology): “For example, the review of lidar observations by Cattrall et al. [2005] gives 43 ± 4 as a mean value of S(l)”
- Dynamical mechanisms controlling the vertical redistribution of dust and the thermodynamic structure of the West Saharan atmospheric boundary layer during summer (2009, methodology): “024 sr−1, representative of dust particles (Cattrall et al., 2005), which is modulated in the vertical by a multiple scattering coefficient, η, according to the Monte Carlo simulations in Young et al.”
- Global observations of aerosol‐cloud‐precipitation‐climate interactions (2014, methodology): “From CALIOP observations, not only information on the vertical extinction profile but also some constraints on aerosol type can be obtained from the observed degree of depolarization, and ratios of extinction and backscatter [Cattrall et al., 2005; Omar et al., 2009].”
- Polarimetric remote sensing of aerosols over land (2009, background): “…have a limited capability to determine the composition and size of aerosols, and this leads to substantial uncertainties in their estimates of the total burden of aerosols without some prior knowledge of aerosol type being available [Ackermann, 1998; Barnaba and Gobbi, 2004; Cattrall et al., 2005].”