@article{1307,
  keywords = {aerosol, aerosol property, Air quality, Atmospheric modeling, backscatter, cloud microphysics, data inversion, estimation method, instrumentation, lidar, measurement method, Monte Carlo analysis, numerical model, Particulate Matter, quantitative analysis, wavelength, Europe},
  author = {D. Dionisi and F. Barnaba and H. Diémoz and L. Di Liberto and G.P. Gobbi},
  title = {A multiwavelength numerical model in support of quantitative retrievals of aerosol properties from automated lidar ceilometers and test applications for AOT and PM10 estimation},
  year = {2018},
  journal = {Atmospheric Measurement Techniques},
  url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85056445571&doi=10.5194%2famt-11-6013-2018&partnerID=40&md5=8ee8d335dde3afe84c9b24f5f9bed522},
  doi = {10.5194/amt-11-6013-2018},
}