Open AccessBook
Characterization of ceramics
Ronald E. Loehman
- 01 Jan 1971
2.2K
TL;DR: This article reviewed the principles of Doppler radar and emphasized the quantitative measurement of meteorological parameters, and illustrated the relation of radar data and images to atmospheric phenomena such as tornadoes, microbursts, waves, turbulence, density currents, hurricanes, and lightning.
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Abstract: This book reviews the principles of Doppler radar and emphasizes the quantitative measurement of meteorological parameters. It illustrates the relation of Doppler radar data and images to atmospheric phenomena such as tornadoes, microbursts, waves, turbulence, density currents, hurricanes, and lightning.
Geared toward upper-level undergraduates and graduate students, this text was written by two scientists at the National Severe Storms Laboratory in Norman, Oklahoma, a division of the National Oceanic and Atmospheric Administration. Topics include electromagnetic waves and propagation, weather signals and their Doppler spectra, weather signal processing, measurements of precipitation and turbulence, and observations of winds and storms as well as fair weather. Radar images and photographs of weather phenomena highlight the text.
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Citations
Optimized raindrop size distribution retrieval and quantitative rainfall estimation from polarimetric radar
TL;DR: A variational approach for optimized drop size distribution (DSD) retrieval, attenuation correction, and rainfall estimation from polarimetric radar measurements (horizontal reflectivity factor Z H, differential reflectivity Z D R, and differential phase shift Φ D P ) is proposed in this paper.
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Evaluation and application of hydrometeor classification algorithm outputs inferred from multi-frequency dual-polarimetric radar observations collected during HyMeX
J.-F. Ribaud,Olivier Bousquet,Sylvain Coquillat,H. Al-Sakka,Dominique Lambert,Véronique Ducrocq,E. Fontaine +6 more
TL;DR: In this paper, a fuzzy logic hydrometeor classification algorithm (HCA) was proposed to discriminate six microphysical species regardless of the radar wavelength, based on combination sets of dual-polarimetric observables (reflectivity at horizontal polarization ZH, differential reflectivity ZDR, specific differential phase KDP, correlation coefficient ρHV) along with temperature data inferred from a numerical weather prediction model output.
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Obtaining Spectral Moments By Discrete Fourier Transform With Noise removal In Radar Meteorology
H. Urkowitz,J.D. Nespor +1 more
- 26 May 1992
TL;DR: In this article, a distribution-free technique for estimating the first moment of a power density spectrum was proposed, which is based on the Kolmogorov-Smirnov (K-S) test applied to the periodogram obtained from a disarete Fourier Transform (DFT) obtained from the complex envelope of radar echo.
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Connection of reflected radar signal with liquid-hydrometeor deformation rate
Yuliya Averyanova,A. Averyanov,Felix Yanovsky +2 more
- 20 Oct 2011
TL;DR: In this paper, the authors considered forces and processes in the atmosphere that lead to drop deformation and vibration and derived the expression that allows to define the reflected radar signal power redistribution between electromagnetic wave polarization components received with orthogonal antennas of Doppler-Polarimetric radar.
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