Jensen–Shannon Distance-Based Filter and Unsupervised Evaluation Metrics for Polarimetric Weather Radar Processing

An effective filtering technique is required for rainfall rate measurement by weather radar. A Jensen–Shannon distance (JSD)-based thresholding filter is proposed to mitigate nonmeteorological signals, either in clear air or rain situations. This algorithm classifies range-Doppler bins into two classes, hydrometeors and nonhydrometeors, based on...

Radar remote sensing of wind vector and turbulence intensity fields from raindrop backscattering

Scanning radars are promising sensors for atmospheric remote sensing, giving potential to retrieve parameters that characterize the local air dynamics during rain. For the observation of air motion, radars are relying on the backscatter of particles, which can, for example, be raindrops or insects. To measure wind vectors and turbulence...

Velocity-Based EDR Retrieval Techniques Applied to Doppler Radar Measurements from Rain: Two Case Studies

In this article, five velocity-based energy dissipation rate (EDR) retrieval techniques are assessed. The EDR retrieval techniques are applied to Doppler measurements from Transportable Atmospheric Radar (TARA)—a precipitation profiling radar—operating in the vertically fixed-pointing mode. A generalized formula for the Kolmogorov constant is...

Wind Hazard and Turbulence Monitoring Atairports With Lidar, Radar, and Mode-S Downlinks: The UFO Project

This article presents the prospects of measurement systems for wind hazards and turbulence at airports, which have been explored in the Ultrafast Wind Sensors (UFO) project. At France’s Toulouse–Blagnac Airport, in situ, profiling, and scanning sensors have been used to collect measurements, from which wind vectors and turbulence intensities are...

Turbulence intensity retrieval in precipitation via optimal estimation using polarimetric radar (poster)

Exploitation of homogeneous isotropic turbulence models for optimization of turbulence remote sensing

Homogeneous isotropic turbulence (HIT) models are compared, with respect to optimization of turbulence remote sensing. HIT models have different applications such as load calculation for wind turbines (Mann, 1998) or droplet track modelling (Pinsky and Khain, 2006). Details of vortices seem of less relevance for modelling `realistic measurements...

Exploitation of homogeneous isotropic turbulence models for optimization of turbulence remote sensing

Comparison of everything with everything (CEWE) at the CESAR site: An update of TARA CEWE for assessing the applicability of contemporary EDR retrievals for precipitation profiling Doppler radar

A new model for retrieving information about turbulence intensity from radar signal

This paper presents mathematical models that are necessary to describe the relationship between Doppler spectrum width of the signal reflected from precipitation and eddy dissipation rate of turbulence kinetic energy. The feature of the models is taking into account the contribution of drop fall velocity variance, which is analyzed in detail,...

Ultra-fast wind/EDR monitoring algorithms and their performances

Optimization of turbulence measurements for radar, lidar and sonic anemometers

Simulation of atmospheric turbulence: Fractal turbulence (poster)

Simulation of atmospheric turbulence measurements: Fractal turbulence (poster)

A new trend is to observe atmospheric turbulence fields by using scanning Doppler radars and/or lidars. See e.g. Chan (2011) for the retrieval of eddy dissipation rate (EDR) maps at the Hongkong International Airport.