First synthesis of wind‐profiler signals on the basis of large‐eddy simulation data

Abstract

Abstract. Radar wind profilers detect scatter from clear-air refractive-index irregularities. The Doppler shift calculated from the time series of the backscattered signal provides an estimate of the radial velocity of the air within the radar's resolution volume. It is known that there are quite a number of effects that can give rise to intrinsic biases in these radial-velocity estimates. It is extremely difficult to unambiguously identify these biases on the basis of observations since it is impossible to independently probe the threedimensional, time-dependent fine structure of the relevant atmospheric variables (wind and refractive index) within the radar's resolution volume down to the relevant spatial and temporal scales associated with the scattering process itself. In this paper the large-eddy simulation (LES) technique is used to generate, with high spatial and temporal resolution where X is the radar wavelength [e.g., Doviak and Zrnid, 1984, 1993;Muschinski, 1998]. That is, as long as Rayleigh scatter does not play a role, wind profilers see only refractive-index structures at the Bragg wave 1437

A review of Mesosphere–Stratosphere–Troposphere (MST) radar developments and studies, circa 1997–2008

“…(e.g., Fritts et al, 2003a). Muschinski et al (1999) and Gibson-Wilde et al (2000) have studied the radar signals expected from such turbulent regions, and have claimed some similarities to observations, but at the time the models could not quite achieve the resolution required to assess the effects fully. The work is currently being repeated at higher resolution, but no definitive results have yet appeared in the literature.…”

Methods for Evaluating the Temperature Structure-Function Parameter Using Unmanned Aerial Systems and Large-Eddy Simulation

“…Aside from using measurements from in situ or remote sensing instruments, C 2 T has also been examined through numerical simulation. The advancement of the large-eddy simulation (LES) technique has provided a tool to examine structure-function parameters of atmospheric flow in four dimensions both from LES data (Peltier and Wyngaard 1995;Cheinet and Cumin 2011;Wilson and Fedorovich 2012;Maronga et al 2013), and through the development of the LES-based numerical radar simulators (Muschinski et al 1999;Scipión et al 2008). One advantage of using LES data for this purpose is that both the spatial and temporal variability of C 2 T can be examined across a range of scales and also in relation to the separation-distance dependence.…”

Wavelet based methods for improved wind profiler signal processing

“…Normally, using statistical arguments, one assumes simply a Gaussian signal characteristic for atmospheric and clutter signals, as well as for noise (Doviak and Zrnić, 1993;Petitdidier et al, 1997). Recently, Muschinski et al (1999) used data from a large-eddy simulation to derive I/Q signals for clear air scattering, and Capsoni and D'Amico (1998) presented a software-based radar simulator for generating time series from a synthetic distribution of hydrometeors. For our purpose, we assume that the Gaussian model describes sufficiently well both the atmospheric scattering component and the ground clutter signal.…”