Articles | Volume 9, issue 10
Atmos. Meas. Tech., 9, 5007–5035, 2016
https://doi.org/10.5194/amt-9-5007-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Special issue: EARLINET, the European Aerosol Research Lidar Network
Atmos. Meas. Tech., 9, 5007–5035, 2016
https://doi.org/10.5194/amt-9-5007-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article 12 Oct 2016
Research article | 12 Oct 2016
Microphysical particle properties derived from inversion algorithms developed in the framework of EARLINET
Detlef Müller et al.
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- Profiling aerosol optical, microphysical and hygroscopic properties in ambient conditions by combining in situ and remote sensing A. Tsekeri et al. 10.5194/amt-10-83-2017
- Aerosol Layers in the Troposphere: Peculiarities of Variations in Aerosol Parameters at a Change in the Advection Direction S. Samoilova et al. 10.1134/S1024856020040132
- Properties of arctic haze aerosol from lidar observations during iarea 2015 campaign on spitsbergen I. Stachlewska et al. 10.1051/epjconf/201817605024
- Automated, unsupervised inversion of multiwavelength lidar data with TiARA: assessment of retrieval performance of microphysical parameters using simulated data D. Müller et al. 10.1364/AO.58.004981
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- Retrievals of aerosol single scattering albedo by multiwavelength lidar measurements: Evaluations with NASA Langley HSRL-2 during discover-AQ field campaigns D. Pérez-Ramírez et al. 10.1016/j.rse.2018.12.022
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- Constraining lidar stand-alone retrievals with lunar photometry measurements P. Ortiz-Amezcua et al. 10.1051/epjconf/201817608018
- Long-term systematic profiling of dust aerosol optical properties using the EOLE NTUA lidar system over Athens, Greece (2000–2016) O. Soupiona et al. 10.1016/j.atmosenv.2018.04.011
- GARRLiC and LIRIC: strengths and limitations for the characterization of dust and marine particles along with their mixtures A. Tsekeri et al. 10.5194/amt-10-4995-2017
- Microphysical properties and radiative impact of an intense biomass burning aerosol event measured over Ny-Ålesund, Spitsbergen in July 2015 C. Ritter et al. 10.1080/16000889.2018.1539618
- Target categorization of aerosol and clouds by continuous multiwavelength-polarization lidar measurements H. Baars et al. 10.5194/amt-10-3175-2017
- Raman LIDAR for UHECR experiments: an overview of the L’Aquila (Italy) lidar station experience for the retrieval of quality-assured data M. Iarlori et al. 10.1051/epjconf/201714401008
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- Does the Intra-Arctic Modification of Long-Range Transported Aerosol Affect the Local Radiative Budget? (A Case Study) K. Nakoudi et al. 10.3390/rs12132112
- Effect of Vertical Profile of Aerosols on the Local Shortwave Radiative Forcing Estimation F. Molero et al. 10.3390/atmos12020187
3 citations as recorded by crossref.
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Latest update: 22 Apr 2021
Special issue
Short summary
We present a comparison study of two data inversion algorithms that are used to derive microphysical properties of atmospheric particle pollution. The algorithms have been developed for the analysis of data collected with advanced light detection and ranging (lidar) instruments from the European EARLINET network. The result of this study shows that two key parameters needed for climate change studies, i.e. particle size and light absorption capacity, can be derived with reasonable accuracy.
We present a comparison study of two data inversion algorithms that are used to derive...
