scholarly journals Characterizing turbine inflow during a stability transition using dual-Doppler radar measurements

2020 ◽  
Vol 1618 ◽  
pp. 032030
Author(s):  
Brian D. Hirth ◽  
John L. Schroeder
Author(s):  
Rodger A. Brown ◽  
Donald W. Burgess ◽  
John K. Carter ◽  
Leslie R. Lemon ◽  
Dale Sirmans

1977 ◽  
Vol 16 (10) ◽  
pp. 1036-1048 ◽  
Author(s):  
Joe R. Eagleman ◽  
Wen C. Lin

Abstract Dual-Doppler radar data were analyzed for three different times during the life cycle of a severe thunderstorm. The thunderstorm developed a double vortex inside as a tornado was generated beneath the cloud.The organized kinematic and precipitation internal structure of the thunderstorm support a theoreticaldouble-vortex thunderstorm model that was developed earlier. The horizontal perturbation and relativewinds, vertical winds, horizontal divergence and vorticity are compared for the three different times ofmeasurement. The measurements and theoretical model provide new explanations of the severe thunderstorm and the relationship of associated tornadoes.


2015 ◽  
Vol 54 (3) ◽  
pp. 605-623 ◽  
Author(s):  
Anthony C. Didlake ◽  
Gerald M. Heymsfield ◽  
Lin Tian ◽  
Stephen R. Guimond

AbstractThe coplane analysis technique for mapping the three-dimensional wind field of precipitating systems is applied to the NASA High-Altitude Wind and Rain Airborne Profiler (HIWRAP). HIWRAP is a dual-frequency Doppler radar system with two downward-pointing and conically scanning beams. The coplane technique interpolates radar measurements onto a natural coordinate frame, directly solves for two wind components, and integrates the mass continuity equation to retrieve the unobserved third wind component. This technique is tested using a model simulation of a hurricane and compared with a global optimization retrieval. The coplane method produced lower errors for the cross-track and vertical wind components, while the global optimization method produced lower errors for the along-track wind component. Cross-track and vertical wind errors were dependent upon the accuracy of the estimated boundary condition winds near the surface and at nadir, which were derived by making certain assumptions about the vertical velocity field. The coplane technique was then applied successfully to HIWRAP observations of Hurricane Ingrid (2013). Unlike the global optimization method, the coplane analysis allows for a transparent connection between the radar observations and specific analysis results. With this ability, small-scale features can be analyzed more adequately and erroneous radar measurements can be identified more easily.


2000 ◽  
Vol 25 (4) ◽  
pp. 423-429 ◽  
Author(s):  
C.L. Trump ◽  
N. Allan ◽  
G.O. Marmorino

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