Comparison of Cloud Droplet Number Concentrations derived from Remote Sensing Observations and Köhler Theory based Activation Parameterizations

In the present research, the activation parameterization method introduced by Nenes and Seinfeld (2003) was compared and evaluated to a remote sensing-based method by Rusli, Donovan & Russchenberg (2017) for determining the cloud drop number concentration. Both methods have fundamentally different approaches for indirectly determining the...

Dealiasing of radar Doppler velocities to improve wind estimations

With its three beams in different directions, the Transportable Atmospheric RAdar system (TARA) can provide a wind field estimation. These estimations are inaccurate when the Doppler velocities in one or more of the three beams are aliased. Amongst different approaches to solve aliasing are a continuity check up to four dimensions, staggering...

The impact of droplets’ clustering on the radar backscattering from water clouds

The goal of this thesis is to investigate the clustering effect of droplets in the water clouds. The initial motivation came from the incapability of millimeter-wave cloud radars to always detect low-level liquid water clouds. The observed discrepancy between the value of radar reflectivity factor estimated by radar measurements and the...

Estimating cloud liquid water content from radar reflectivity for stratocumulus clouds during the Cloud Lidar and Radar Experiment

In order to obtain the cloud liquid water content from radar observations, a relationship between the radar reflectivity (Z) and the cloud liquid water content (LWC) must be found. In literature, empirical Z-LWC have been proposed. However these relationships ignore drizzle-sized droplets. Since the clouds were drizzling during Clare these...