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
Measurement and characterization of infrasound from a tornado producing storm
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Theory of single scattering by random distributed scatterers
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Distinguishing Characteristics of Tornadic and Nontornadic Supercell Storms from Composite Mean Analyses of Radar Observations
Cameron R. Homeyer,Thea N. Sandmæl,Thea N. Sandmæl,Thea N. Sandmæl,Corey K. Potvin,Corey K. Potvin,Amanda M. Murphy +6 more
TL;DR: In this paper, a large set of observations from the NEXRAD WSR-88D polarimetric radar network in the contiguous United States were used to produce probability-matched composite means of microphysical and kinematic variables.
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Properties of Ceramic Materials and Their Evaluation
Murat Bengisu
- 01 Jan 2001
TL;DR: The mechanical properties of a ceramic material must be thoroughly studied before it is considered for any application that imparts certain stresses as discussed by the authors, such as cyclic stresses, at elevated temperatures.
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Multidimensional Spectral Super-Resolution With Prior Knowledge With Application to High Mobility Channel Estimation
TL;DR: This paper designs and develops efficient super-resolution estimators for estimation of multiple frequencies with prior knowledge from incomplete and/or noisy samples, and proposes to solve the FS atomic norm minimization problems for the low-rank spectral tensor recovery by converting them into semidefinite programs based on the MD Vandermonde decomposition.
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