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Norman, OK, United States

Karimkashi S.,Atmospheric Radar Research Center | Kishk A.A.,University of Mississippi
IEEE Transactions on Antennas and Propagation | Year: 2011

Some focusing properties of Fresnel zone plate (FZP) lens antennas in the near-field region are presented at the ka-band. Simulated and measured results of the FZP antenna show displacement of the maximum intensity of the electric field along the axial direction from the focal point toward the antenna aperture. This displacement increases as the antenna's focal length increases. In addition, the focused beam scanning of the FZP lens antennas in the radiation near-field is examined. © 2011 IEEE. Source


Zrnic D.S.,National Severe Storms Laboratory | Melnikov V.M.,National Severe Storms Laboratory | Doviak R.J.,National Severe Storms Laboratory | Palmer R.,Atmospheric Radar Research Center
IEEE Geoscience and Remote Sensing Letters | Year: 2015

This letter proposes a design concept that can satisfy the requirements for weather observations with a multifunction polarimetric phased-array radar at about 1-min volume update time while meeting present aviation requirements. © 2004-2012 IEEE. Source


Yeary M.B.,University of Oklahoma | Yeary M.B.,Atmospheric Radar Research Center | Yu T.-Y.,University of Oklahoma | Yu T.-Y.,Atmospheric Radar Research Center | And 13 more authors.
IEEE Transactions on Education | Year: 2010

Students are not exposed to enough real-life data. This paper describes how a community of scholars seeks to remedy this deficiency and gives the pedagogical details of an ongoing project that commenced in the Fall 2004 semester. Fostering deep learning, this multiyear project offers a new active-learning, hands-on interdisciplinary laboratory program in which engineering, geoscience, and meteorology students are encouraged to participate actively. Storms, tornadoes, and hazardous weather cause damage and loss that could be minimized through enhanced radar technologies and longer warning lead times. To study these topics, the program has generated a unique, interdisciplinary research-oriented learning environment that will train future engineers and meteorologists in the full set of competencies needed to take raw radar data and transform them into meaningful interpretations of weather phenomena. © 2006 IEEE. Source


Cao Q.,Atmospheric Radar Research Center | Yeary M.B.,Atmospheric Radar Research Center | Yeary M.B.,University of Oklahoma | Zhang G.,Atmospheric Radar Research Center | Zhang G.,University of Oklahoma
IEEE Transactions on Education | Year: 2012

The U.S. weather radar network is currently being upgraded with dual-polarization capability. Weather radar polarimetry is an interdisciplinary area of engineering and meteorology. This paper presents efficient ways to learn weather radar polarimetry through several basic and practical topics. These topics include: 1) hydrometeor scattering model and calculation of radar variables; 2) characteristics of polarimetric radar measurements and radar echo classification; and 3) rain microphysics retrieval. The supporting files, data, codes, and results are provided on the Web site http://arrc.ou.edu/~guzhang/ Polarimetry/main.html. The study modules provide hands-on experience in the area of weather radar polarimetry and related fields. © 2011 IEEE. Source


Alberts T.A.,Atmospheric Radar Research Center | Chilson P.B.,Atmospheric Radar Research Center | Cheong B.L.,Atmospheric Radar Research Center | Palmer R.D.,Atmospheric Radar Research Center
Journal of Atmospheric and Oceanic Technology | Year: 2011

Trends in current weather research involve active phased-array radar systems that have several advantages over conventional radars with klystron or magnetron transmitters. However, phased-array radars generally do not have the same peak transmit power capability as conventional systems so they must transmit longer pulses to maintain an equivalent average power on target. Increasing transmits pulse duration increases range gate size but the use of pulse compression offers a means of recovering the otherwise lost resolution. To evaluate pulse compression for use in future weather radar systems, modifications to a weather radar simulator have been made to incorporate phase-coding into its functionality. Data derived from Barker-coded pulses with matched and mismatched filters were compared with data obtained from uncoded pulses to evaluate the pulse compression performance. Additionally, pulse compression was simulated using data collected from an experimental radar to validate the simulated results. The data derived from both experimental and simulated methods were then applied to a fuzzy logic tornado detection algorithm to examine the effects of the pulse compression process. It was found that the fuzzy logic process was sufficiently robust to maintain high levels of detection accuracy with low false alarm rates even though biases were observed in the pulse-compressed data. © 2011 American Meteorological Society. Source

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