• Corpus ID: 239024337

Rapid Scale Wind Profiling with Autoregressive Modeling and L-Band Doppler Radar

@inproceedings{Domps2021RapidSW,
  title={Rapid Scale Wind Profiling with Autoregressive Modeling and L-Band Doppler Radar},
  author={Baptiste Domps and Julien Marmain and Charles-Antoine Gu'erin},
  year={2021}
}
Radar Wind Profilers (RWP) are well-established instruments for the probing of the atmospheric boundary layer, with the immense advantage of long-range and allweather operation capability. One of their main limitations, however, is a relatively long integration time compared to other instruments such as lidars. In the context of L-band RWP we show that the use of Autoregressive (AR) modeling for the antenna signals combined with the Maximum Entropy Method (MEM) allows for a correct estimation… 

Figures and Tables from this paper

References

SHOWING 1-10 OF 46 REFERENCES
Improved Observation of Transient Phenomena with Doppler Radars: A Common Framework for Oceanic and Atmospheric Sensing
TLDR
A non-spectral formalism based on autoregressive processes is applied to model the backscattered time series obtained from High-Frequency oceanic radars and shown that it allows to calculate Doppler spectra for very short integration times without losing in frequency resolution nor signal-to-noise ratio.
Radar Wind Profiler Radial Velocity: A Comparison with Doppler Lidar
Abstract The accuracy of the radial wind velocity measured with a radar wind profiler will depend on turbulent variability and instrumental noise. Radial velocity estimates of a boundary layer wind
An Examination of Wind Profiler Signal Processing Algorithms
TLDR
It is shown that the direct moment calculation combined with a consensus averaging technique has the best overall performance for accuracy and the ability to use data with a very low signal-to-noise ratio.
Characteristics and performance of wind profiles as observed by the radar wind profiler network of China
Abstract. Wind profiles are fundamental to the research and applications in boundary layer meteorology, air quality and numerical weather prediction. Large-scale wind profile data have been
Comparison of VHF Doppler beam swinging and spaced antenna observations with the MU radar: First results
We present a comparison between wind measurements in the 5–21 km altitude range over the middle and upper atmosphere (MU) radar obtained by two different techniques: Doppler beam swinging (DBS) and
The NIMA Method for Improved Moment Estimation from Doppler Spectra
The NCAR Improved Moments Algorithm (NIMA) for estimating moments from wind measurement devices that measure Doppler spectra as a function of range is described in some detail. Although NIMA’s main
Quantifying Wind Turbine Wake Characteristics from Scanning Remote Sensor Data
AbstractBecause of the dense arrays at most wind farms, the region of disturbed flow downstream of an individual turbine leads to reduced power production and increased structural loading for its
High-Resolution Doppler Lidar for Boundary Layer and Cloud Research
Abstract The high-resolution Doppler lidar (HRDL) was developed to provide higher spatial, temporal, and velocity resolution and more reliable performance than was previously obtainable with
Stratospheric tropospheric wind profiling radars in the Australian network
The Australian Government Bureau of Meteorology completed the installation of a network of 9 new wind profiling radars across mainland Australia in 2017, which complement an existing network of 5
Statistical averaging method for wind profiler doppler spectra
This method for Doppler spectral processing more readily identifies the profiler radar return signals from the atmosphere in the presence of contamination, e.g., from bird echoes, ground clutter, and
...
1
2
3
4
5
...