lidarwind: A Python package for retrieving wind profiles from Doppler lidar observations

lidarwind is an open-source Python project to retrieve wind speed and direction profiles from Doppler lidar observations from the WindCube-200s, and it was developed to be easy to use. It can retrieve wind profiles from the 6-beam and DBS scanning strategies and allow users to set the signal-to-noise ratio threshold to reduce the noise. It also...

Combined wind lidar and cloud radar for high-resolution wind profiling

This paper introduces an experimental setup for retrieving horizontal wind speed and direction profiles with a high temporal and vertical resolution for process studies and validation of convection-permitting model simulations. The CMTRACE (tracing convective momentum transport in complex cloudy atmospheres) campaign used collocated wind lidar...

Clouds Blowing in the Wind: Momentum Transport in Cloudy Boundary Layers Observed From Collocated Wind Lidar and Cloud Radars and Simulated With Dales

Convective clouds may be associated with substantial transport of momentum. Much of what we know about convective momentum transport stems from high-resolution simulations because high-resolution measurements of the wind profile are rare. This study exploits ground-based remote sensing techniques to visualize wind below and within clouds and...

Ice microphysical processes in the dendritic growth layer: a statistical analysis combining multi-frequency and polarimetric Doppler cloud radar observations

The dendritic growth layer (DGL), defined as the temperature region between -20 and -10 °C, plays an important role for ice depositional growth, aggregation and potentially secondary ice processes. The DGL has been found in the past to exhibit specific observational signatures in polarimetric and vertically pointing radar observations....

Melting Behavior of Rimed and Unrimed Snowflakes Investigated With Statistics of Triple-Frequency Doppler Radar Observations

Comparing the reflectivity flux at the top and bottom of the melting layer (ML) reveals the overall effect of the microphysical processes occurring within the ML on the particle population. If melting is the only process taking place and all particles scatter in the Rayleigh regime, the reflectivity flux increases in the ML by a constant...