Aerosol-type-dependent lidar ratios observed with Raman lidar

By Detlef Müller, Albert Ansmann, Ina Mattis, M. Tesche, Ulla Wandinger, Dietrich Althausen, G. Pisani. 2007

558 citations recorded by the source corpus.

Subfields: Atmospheric Science, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/74b7ec66ad2ee4750e425bcdd89c1159eefe80b6

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Citations in the corpus

Aerosol classification from airborne HSRL and comparisons with the CALIPSO vertical feature mask (2013, methodology): “As described by Omar et al. (2009), aerosol models, including lidar ratios, for the six aerosol types were derived from field measurements and AERONET (Holben et al.”
Potential of polarization lidar to provide profiles of CCN- and INP-relevant aerosol parameters (2015, background): “New aspects deal with the estimation of n50,dry and n100,dry, the CCN parameterization, the retrieval of the particle surface area concentration sdry from measured particle extinction coefficients, and the consideration of further dust INP parameterizations developed by Niemand et al. (2012) and Ste”
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).”
The EarthCARE Satellite: The Next Step Forward in Global Measurements of Clouds, Aerosols, Precipitation, and Radiation (2015, background): “EarthCARE will provide a level 2 aerosol-type product that is mainly based on measured intensive (i.e., concentration independent) particle properties (e.g., Müller et al. 2007; Burton et al. 2012).”
Ceilometer lidar comparison: backscatter coefficient retrieval and signal-to-noise ratio determination (2010, methodology): “For simplification, in this study a constant lidar ratio of 55 sr is assumed for both the lidar and the ceilometer that is valid for continental urban aerosol (Mattis et al. , 2004), for Saharan dust (Müller et al. , 2007), and for volcanic ash plumes over Europe (Ansmann et al. , 2010).”
An overview of the first decade of Polly NET : an emerging network of automated Raman-polarization lidars for continuous aerosol profiling (2016, background): “The mean lidar ratio of the haze layer was 35 to 59 sr (average 47 sr) (Ansmann et al., 2005; Müller et al., 2006).”
EARLINET correlative measurements for CALIPSO: First intercomparison results (2010, background): “…routine measurements, further observations are devoted to monitor special events such as Saharan dust outbreaks [ Ansmann et al. , 2003; Papayannis et al. , 2008], forest fires [ Mattis et al. , 2003; Müller et al. , 2007b], photochemical smog, and volcano eruptions [ Pappalardo et al. , 2004a].”