Ice crystal number concentration from lidar, cloud radar and radar wind profiler measurements
Year: 2019
Type: article
Abstract: A new method for the retrieval of ice crystal number concentration (ICNC) from combined active remote-sensing measurements of Raman lidar, cloud radar and radar wind profiler is presented. We exploit – for the first time – measurements of terminal fall velocity together with the radar reflectivity factor and/or the lidar-derived particle extinction coefficient in clouds for retrieving the number concentration of pristine ice particles with presumed particle shapes. A lookup table approach for the retrieval of the properties of the particle size distribution from observed parameters is presented. Analysis of methodological uncertainties and error propagation is performed, which shows that a retrieval of ice particle number concentration based on terminal fall velocity is possible within 1 order of magnitude. Comparison between a retrieval of the number concentration based on terminal fall velocity on the one hand and lidar and cloud radar on the other shows agreement within the uncertainties of the retrieval.
Institution: Leibniz Institute for Tropospheric Research
Language: English
Subfield: Global and Planetary Change
Field: Environmental Science
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $1,679
Awards: G1339781370, G3207356259, G393177772, G434337789, G4426424888, Aerosols, Clouds, and Trace gases Research Infrastructure Network, G5702163051, Kombinierte aktive Fernerkundung und Modellierung von eisbildenden Partikeln und Eiskristallfluss, Impact of Biogenic versus Anthropogenic emissions on Clouds and Climate: towards a Holistic UnderStanding, Aerosols, Clouds, and Trace gases Research InfraStructure
OpenAlex ID: W2998705484