The Determination of Kinematic Properties of a Wind Field Using Doppler Radar

Browning, K. A.; Wexler, Raymond

doi:10.1175/1520-0450(1968)007<0105:tdokpo>2.0.co;2

Cited by 610 publications

(388 citation statements)

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“…This secured a minimization of the time sampling error (Stawiarski et al 2013). Wind-speed profiles were obtained from a full PPI scan that was performed by both lidars at the beginning of each hour using a velocity-azimuth display (VAD) algorithm (Browning and Wexler 1968). For values of u, the mean wind speed between the surface and 200 m above the ground was used.…”

Section: Field Studymentioning

confidence: 99%

Turbulent Structures and Coherence in the Atmospheric Surface Layer

Träumner

Damian

Stawiarski

et al. 2014

Boundary-Layer Meteorol

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Organized structures in turbulent flow fields are a well-known and still fascinating phenomenon. Although these so-called coherent structures are obvious from visual inspection, quantitative assessment is a challenge and many aspects e.g., formation mechanisms and contribution to turbulent fluxes, are discussed controversially. During the "High Definition Clouds and Precipitation for Advancing Climate Prediction" Observational Prototype Experiment (HOPE) from April to May 2013, an advanced dual Doppler lidar technique was used to image the horizontal wind field near the surface for approximately 300 h. A visual inspection method, as well as a two-dimensional integral length scale analysis, were performed to characterize the observations qualitatively and quantitatively. During situations with forcing due to shear, the wind fields showed characteristic patterns in the form of clearly bordered, elongated areas of enhanced or reduced wind speed, which can be associated with near-surface streaks. During calm situations with strong buoyancy forcing, open cell patterns in the horizontal divergence field were observed. The measurement technique used enables the calculation of integral length scales of both horizontal wind components in the streamwise and cross-stream directions. The individual length scales varied considerably during the observation period but were on average shorter during situations with z/L < 0 compared to strongly stable situations. During unstable situations, which were dominated by wind fields with structures, the streamwise length scales increased with increasing wind speed, whereas the cross-stream length scales decreased. Consequently, the anisotropy increased from 1 for calm situations to values of 2-3 for wind speeds of 8-10 m s −1 . During neutral to stable situations, the eddies were on average quite isotropic in the horizontal plane.

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Section: Field Studymentioning

confidence: 99%

Turbulent Structures and Coherence in the Atmospheric Surface Layer

Träumner

Damian

Stawiarski

et al. 2014

Boundary-Layer Meteorol

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“…Doppler wind measurements with POLDIRAD in clear air (low reflectivity region around the radar in Figure 2) can give information on the wind field, however due to the small area, single-Doppler wind field techniques cannot be applied to retrieve the horizontal wind vector field. It was possible to retrieve wind profiles at the radar site using the VAD technique (Browning and Wexler, 1968). For technical reasons, wind profiles were available only between 1000 and 2000 m above ground level (agl) on 12 August, whereas on 13 August clear-air echoes were weaker and did not reach above 1000 m agl.…”

Section: Structure Of the Atmospherementioning

confidence: 99%

Influence of the wind profile on the initiation of convection in mountainous terrain

Hagen

Baelen

Richard

2011

Quart J Royal Meteoro Soc

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“…On the other hand, Doppler radar measurements are often contaminated by other targets such as birds, ships, chaff, ground clutter, or airplanes. Based on the idea of the velocity-azimuth display (VAD) analysis (Lhermitte and Atlas 1961;Browning and Wexler 1968), Doppler velocities related to nonweather objects and failures of Doppler velocity dealiasing algorithms can be detected. With this quality-index scheme those objects that do not represent the current airflow are detected.…”

Section: Utilizing Non-weather-related Objectsmentioning

confidence: 99%

A Quality Control Concept for Radar Reflectivity, Polarimetric Parameters, and Doppler Velocity

Friedrich

Hagen

Einfalt³

2006

Journal of Atmospheric and Oceanic Technology

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Over the last few years the use of weather radar data has become a fundamental part of various applications like rain-rate estimation, nowcasting of severe weather events, and assimilation into numerical weather prediction models. The increasing demand for radar data necessitates an automated, flexible, and modular quality control. In this paper a quality control procedure is developed for radar reflectivity factors, polarimetric parameters, and Doppler velocity. It consists of several modules that can be extended, modified, and omitted depending on the user requirement, weather situation, and radar characteristics. Data quality is quantified on a pixel-by-pixel basis and encoded into a quality-index field that can be easily interpreted by a nontrained end user or an automated scheme that generates radar products. The qualityindex algorithms detect and quantify the influence of beam broadening, the height of the first radar echo, ground clutter contamination, return from non-weather-related objects, and attenuation of electromagnetic energy by hydrometeors on the quality of the radar measurement. The quality-index field is transferred together with the radar data to the end user who chooses the amount of data and the level of quality used for further processing. The calculation of quality-index fields is based on data measured by the polarimetric C-band Doppler radar (POLDIRAD) located in the Alpine foreland in southern Germany.

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The Determination of Kinematic Properties of a Wind Field Using Doppler Radar

Cited by 610 publications

References 0 publications

Turbulent Structures and Coherence in the Atmospheric Surface Layer

Turbulent Structures and Coherence in the Atmospheric Surface Layer

Influence of the wind profile on the initiation of convection in mountainous terrain

A Quality Control Concept for Radar Reflectivity, Polarimetric Parameters, and Doppler Velocity

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