Target categorization of aerosol and clouds by continuous multiwavelength-polarization lidar measurements

Baars, Holger; Seifert, Patric; Engelmann, Ronny; Wandinger, Ulla

doi:https://doi.org/10.5194/amt-10-3175-2017

Articles | Volume 10, issue 9

https://doi.org/10.5194/amt-10-3175-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Special issue:

HD(CP)² Observational Prototype Experiment (AMT/ACP...

https://doi.org/10.5194/amt-10-3175-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 10, issue 9

Research article

|

01 Sep 2017

Research article |

| 01 Sep 2017

Target categorization of aerosol and clouds by continuous multiwavelength-polarization lidar measurements

Holger Baars, Patric Seifert, Ronny Engelmann, and Ulla Wandinger

Data sets

SAMD data E. Stamnas, A. Lammert, V. Winkelmann, V. and U. Lang https://icdc.cen.uni-hamburg.de/index.php?id=samd

AERONET data NASA https://aeronet.gsfc.nasa.gov/cgi-bin/type_one_station_opera_v2_new?site=HOPE-Krauthausen&nachal=0&year=21&aero_water=0&if_day=0&year_or_month=1&level=3&place_code=4

GDAS1 data ARL NOAA GOV https://www.ready.noaa.gov/gdas1.php

Short summary

A novel technique for multiwavelength lidars is introduced to derive information on the particle type in the tropospheric profile in analogy to the Cloudnet target classification. Four different aerosol classes and several cloud classes are defined. The technique is based on absolute calibrated lidar signals in temporally high resolution and thus is also well suited for aerosol–cloud-interaction studies. The approach was applied on a 2-month data set of the HOPE campaign in western Germany.