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You searched for +publisher:"University of Oklahoma" +contributor:("Palmer, Robert D."). Showing records 1 – 3 of 3 total matches.

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University of Oklahoma

1. Isom, Bradley Michael. The Atmospheric Imaging Radar for High Resolution Observations of Severe Weather.

Degree: PhD, 2012, University of Oklahoma

URL: http://hdl.handle.net/11244/319406 

The author made specific contributions to the field of radar meteorology in several areas. Overseeing the design and construction of the AIR was a signif- icant effort and involved the coordination of many smaller teams. Interacting with the members of each group and ensuring the success of the project was a primary focus throughout the venture. Meteorological imaging radars of the past have typically focused on boundary layer or upper atmospheric phenomena. The AIR's primary focus is to collect precipitation data from severe weather. Ap- plying well defined beamforming techniques, ranging from Fourier to adaptive algorithms like robust Capon and Amplitude and Phase Estimation (APES), to precipitation phenomena was a unique effort and has served to advance the use of adaptive array processing in radar meteorology. Exploration of irregular antenna spacing and drawing from the analogies between temporal and spatial process- ing led to the development of a technique that reduced the impact of grating lobes by unwrapping angular ambiguities. Ultimately, the author leaves having created a versatile platform capable of producing some of the highest resolution weather data available in the research community today, with opportunities to significantly advance the understanding of rapidly evolving weather phenomena and severe storms. Advisors/Committee Members: Palmer, Robert D (advisor).

Subjects/Keywords: Radar meteorology

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Isom, B. M. (2012). The Atmospheric Imaging Radar for High Resolution Observations of Severe Weather. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/319406

Chicago Manual of Style (16th Edition):

Isom, Bradley Michael. “The Atmospheric Imaging Radar for High Resolution Observations of Severe Weather.” 2012. Doctoral Dissertation, University of Oklahoma. Accessed January 23, 2021. http://hdl.handle.net/11244/319406.

MLA Handbook (7th Edition):

Isom, Bradley Michael. “The Atmospheric Imaging Radar for High Resolution Observations of Severe Weather.” 2012. Web. 23 Jan 2021.

Vancouver:

Isom BM. The Atmospheric Imaging Radar for High Resolution Observations of Severe Weather. [Internet] [Doctoral dissertation]. University of Oklahoma; 2012. [cited 2021 Jan 23]. Available from: http://hdl.handle.net/11244/319406.

Council of Science Editors:

Isom BM. The Atmospheric Imaging Radar for High Resolution Observations of Severe Weather. [Doctoral Dissertation]. University of Oklahoma; 2012. Available from: http://hdl.handle.net/11244/319406


University of Oklahoma

2. Isom, Bradley Michael. The Atmospheric Imaging Radar for High Resolution Observations of Severe Weather.

Degree: PhD, 2012, University of Oklahoma

URL: http://hdl.handle.net/11244/318455 

The author made specific contributions to the field of radar meteorology in several areas. Overseeing the design and construction of the AIR was a signif- icant effort and involved the coordination of many smaller teams. Interacting with the members of each group and ensuring the success of the project was a primary focus throughout the venture. Meteorological imaging radars of the past have typically focused on boundary layer or upper atmospheric phenomena. The AIR's primary focus is to collect precipitation data from severe weather. Ap- plying well defined beamforming techniques, ranging from Fourier to adaptive algorithms like robust Capon and Amplitude and Phase Estimation (APES), to precipitation phenomena was a unique effort and has served to advance the use of adaptive array processing in radar meteorology. Exploration of irregular antenna spacing and drawing from the analogies between temporal and spatial process- ing led to the development of a technique that reduced the impact of grating lobes by unwrapping angular ambiguities. Ultimately, the author leaves having created a versatile platform capable of producing some of the highest resolution weather data available in the research community today, with opportunities to significantly advance the understanding of rapidly evolving weather phenomena and severe storms. Advisors/Committee Members: Palmer, Robert D (advisor).

Subjects/Keywords: Radar meteorology

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❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Isom, B. M. (2012). The Atmospheric Imaging Radar for High Resolution Observations of Severe Weather. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/318455

Chicago Manual of Style (16th Edition):

Isom, Bradley Michael. “The Atmospheric Imaging Radar for High Resolution Observations of Severe Weather.” 2012. Doctoral Dissertation, University of Oklahoma. Accessed January 23, 2021. http://hdl.handle.net/11244/318455.

MLA Handbook (7th Edition):

Isom, Bradley Michael. “The Atmospheric Imaging Radar for High Resolution Observations of Severe Weather.” 2012. Web. 23 Jan 2021.

Vancouver:

Isom BM. The Atmospheric Imaging Radar for High Resolution Observations of Severe Weather. [Internet] [Doctoral dissertation]. University of Oklahoma; 2012. [cited 2021 Jan 23]. Available from: http://hdl.handle.net/11244/318455.

Council of Science Editors:

Isom BM. The Atmospheric Imaging Radar for High Resolution Observations of Severe Weather. [Doctoral Dissertation]. University of Oklahoma; 2012. Available from: http://hdl.handle.net/11244/318455


University of Oklahoma

3. May, Ryan Michael. Estimating and Mitigating Errors in Dual-Polarization Radar Attenuation Correction.

Degree: PhD, 2014, University of Oklahoma

URL: http://hdl.handle.net/11244/13621 

Correction for rain attenuation is an important data quality issue when using data collected by radars operating at attenuating wavelengths, specifically C and X bands. Such issues are especially important for quantitative use of the data, such as rainfall estimation, where a 3dB error in reflectivity factor can result in more than 60% error in the rainfall estimate. In this work, the errors from several different attenuation correction techniques are examined. To test the corrections, simulated time-series dual-polarization radar data are used. The basis for the simulations is the use of a discretized radar pulse, where each pulse element generates the appropriately calculated stochastic value to give realistic radar time series data. In addition to providing for a sufficient number of elements to generate statistically meaningful data, this discretized pulse model also enables the simulation of spatial sampling aspects of the radar beam, allowing for differential attenuation and phase shift across the radar beam. These simulated data are used to quantify the performance of several rain attenuation correction algorithms: linear ΦDP, ZPHI, and Self-Consistent, as well as a modified version of the Self-Consistent algorithm. Using the simulated data and respective truth fields, the performance of the algorithms is examined in detail across a variety of scattering and microphysics configurations, to study the impact of the assumptions made on the quality of algorithm performance. A wide array of radar spatial sampling strategies are also examined to identify the impacts on algorithm performance. Advisors/Committee Members: Biggerstaff, Michael I. (advisor), Palmer, Robert D. (committee member), Yu, Tian-You (committee member), Wicker, Louis J. (committee member), Xue, Ming (committee member), Yeary, Mark (committee member).

Subjects/Keywords: polarimetric radar; dual-polarization; attenuation; simulation

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❌

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

May, R. M. (2014). Estimating and Mitigating Errors in Dual-Polarization Radar Attenuation Correction. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/13621

Chicago Manual of Style (16th Edition):

May, Ryan Michael. “Estimating and Mitigating Errors in Dual-Polarization Radar Attenuation Correction.” 2014. Doctoral Dissertation, University of Oklahoma. Accessed January 23, 2021. http://hdl.handle.net/11244/13621.

MLA Handbook (7th Edition):

May, Ryan Michael. “Estimating and Mitigating Errors in Dual-Polarization Radar Attenuation Correction.” 2014. Web. 23 Jan 2021.

Vancouver:

May RM. Estimating and Mitigating Errors in Dual-Polarization Radar Attenuation Correction. [Internet] [Doctoral dissertation]. University of Oklahoma; 2014. [cited 2021 Jan 23]. Available from: http://hdl.handle.net/11244/13621.

Council of Science Editors:

May RM. Estimating and Mitigating Errors in Dual-Polarization Radar Attenuation Correction. [Doctoral Dissertation]. University of Oklahoma; 2014. Available from: http://hdl.handle.net/11244/13621

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