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University of Oklahoma
1.
Ivic, Igor Rade.
DETECTION THRESHOLDS FOR SPECTRAL MOMENTS AND POLARIMETRIC VARIABLES.
Degree: PhD, 2008, University of Oklahoma
URL: http://hdl.handle.net/11244/319382 
► Presently, the Signal-to-Noise-Ratio (SNR) measurement is used to determine the presence of a weather signal for Weather Surveillance Radar - 1988 Doppler (WSR-88D). Growing popularity…
(more)
▼ Presently, the Signal-to-Noise-Ratio (SNR) measurement is used to determine the presence of a
weather signal for
Weather Surveillance
Radar - 1988 Doppler (WSR-88D). Growing popularity of polarimetric radars prompts the need for improved signal detection scheme. Namely, the ongoing upgrade of the WSR-88D network to dual polarization results in a 3 dB reduction of the SNR per channel because the existing transmitter power is split between horizontal (H) and vertical (V) channels. Therefore, the
radar sensitivity is degraded and many valid
weather signals may be discarded if the current censoring scheme is retained. In this work, statistical techniques of mitigating the impact of the 3 dB SNR loss with the goal of improving data censoring for the dual-polarization system are examined. First, the performance and implementation of a classical likelihood-ratio method is investigated. It is concluded that such a method is not practical for operational systems due to insufficient processing capability of the signal processor. With the system constraint in mind, several efficient methods based on the signal coherency in sample-time and across channels, such as power and autocorrelation measurements in H and V channels, as well as the cross-correlation of signals from the H and V channels, are proposed. Statistical analyses of various combinations of these variables are performed using Monte Carlo simulations. The performance is further demonstrated and verified using time series data collected by the research polarimetric
radar (KOUN), operated by the National Severe Storms Laboratory. Both the statistical analysis and the performance comparisons on time series imply that the novel approach has the potential to significantly improve the signal detection on dual-polarization
weather radars; thus mitigating the impact of the 3 dB SNR loss in the WSR-88D radars.
Advisors/Committee Members: Yu, Tian-You (advisor).
Subjects/Keywords: Doppler radar; Weather radar networks; Spectrum analysis; Weather forecasting
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APA (6th Edition):
Ivic, I. R. (2008). DETECTION THRESHOLDS FOR SPECTRAL MOMENTS AND POLARIMETRIC VARIABLES. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/319382
Chicago Manual of Style (16th Edition):
Ivic, Igor Rade. “DETECTION THRESHOLDS FOR SPECTRAL MOMENTS AND POLARIMETRIC VARIABLES.” 2008. Doctoral Dissertation, University of Oklahoma. Accessed March 07, 2021.
http://hdl.handle.net/11244/319382.
MLA Handbook (7th Edition):
Ivic, Igor Rade. “DETECTION THRESHOLDS FOR SPECTRAL MOMENTS AND POLARIMETRIC VARIABLES.” 2008. Web. 07 Mar 2021.
Vancouver:
Ivic IR. DETECTION THRESHOLDS FOR SPECTRAL MOMENTS AND POLARIMETRIC VARIABLES. [Internet] [Doctoral dissertation]. University of Oklahoma; 2008. [cited 2021 Mar 07].
Available from: http://hdl.handle.net/11244/319382.
Council of Science Editors:
Ivic IR. DETECTION THRESHOLDS FOR SPECTRAL MOMENTS AND POLARIMETRIC VARIABLES. [Doctoral Dissertation]. University of Oklahoma; 2008. Available from: http://hdl.handle.net/11244/319382
University of Oklahoma
2.
Ivic, Igor Rade.
DETECTION THRESHOLDS FOR SPECTRAL MOMENTS AND POLARIMETRIC VARIABLES.
Degree: PhD, 2008, University of Oklahoma
URL: http://hdl.handle.net/11244/318431
► Presently, the Signal-to-Noise-Ratio (SNR) measurement is used to determine the presence of a weather signal for Weather Surveillance Radar - 1988 Doppler (WSR-88D). Growing popularity…
(more)
▼ Presently, the Signal-to-Noise-Ratio (SNR) measurement is used to determine the presence of a
weather signal for
Weather Surveillance
Radar - 1988 Doppler (WSR-88D). Growing popularity of polarimetric radars prompts the need for improved signal detection scheme. Namely, the ongoing upgrade of the WSR-88D network to dual polarization results in a 3 dB reduction of the SNR per channel because the existing transmitter power is split between horizontal (H) and vertical (V) channels. Therefore, the
radar sensitivity is degraded and many valid
weather signals may be discarded if the current censoring scheme is retained. In this work, statistical techniques of mitigating the impact of the 3 dB SNR loss with the goal of improving data censoring for the dual-polarization system are examined. First, the performance and implementation of a classical likelihood-ratio method is investigated. It is concluded that such a method is not practical for operational systems due to insufficient processing capability of the signal processor. With the system constraint in mind, several efficient methods based on the signal coherency in sample-time and across channels, such as power and autocorrelation measurements in H and V channels, as well as the cross-correlation of signals from the H and V channels, are proposed. Statistical analyses of various combinations of these variables are performed using Monte Carlo simulations. The performance is further demonstrated and verified using time series data collected by the research polarimetric
radar (KOUN), operated by the National Severe Storms Laboratory. Both the statistical analysis and the performance comparisons on time series imply that the novel approach has the potential to significantly improve the signal detection on dual-polarization
weather radars; thus mitigating the impact of the 3 dB SNR loss in the WSR-88D radars.
Advisors/Committee Members: Yu, Tian-You (advisor).
Subjects/Keywords: Doppler radar; Weather radar networks; Spectrum analysis; Weather forecasting
Record Details
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APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Ivic, I. R. (2008). DETECTION THRESHOLDS FOR SPECTRAL MOMENTS AND POLARIMETRIC VARIABLES. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/318431
Chicago Manual of Style (16th Edition):
Ivic, Igor Rade. “DETECTION THRESHOLDS FOR SPECTRAL MOMENTS AND POLARIMETRIC VARIABLES.” 2008. Doctoral Dissertation, University of Oklahoma. Accessed March 07, 2021.
http://hdl.handle.net/11244/318431.
MLA Handbook (7th Edition):
Ivic, Igor Rade. “DETECTION THRESHOLDS FOR SPECTRAL MOMENTS AND POLARIMETRIC VARIABLES.” 2008. Web. 07 Mar 2021.
Vancouver:
Ivic IR. DETECTION THRESHOLDS FOR SPECTRAL MOMENTS AND POLARIMETRIC VARIABLES. [Internet] [Doctoral dissertation]. University of Oklahoma; 2008. [cited 2021 Mar 07].
Available from: http://hdl.handle.net/11244/318431.
Council of Science Editors:
Ivic IR. DETECTION THRESHOLDS FOR SPECTRAL MOMENTS AND POLARIMETRIC VARIABLES. [Doctoral Dissertation]. University of Oklahoma; 2008. Available from: http://hdl.handle.net/11244/318431
Colorado State University
3.
Ruzanski, Evan.
Nowcasting for a high-resolution weather radar network.
Degree: PhD, Electrical and Computer Engineering, 2010, Colorado State University
URL: http://hdl.handle.net/10217/45965
► Short-term prediction (nowcasting) of high-impact weather events can lead to significant improvement in warnings and advisories and is of great practical importance. Nowcasting using weather…
(more)
▼ Short-term prediction (nowcasting) of high-impact
weather events can lead to significant improvement in warnings and advisories and is of great practical importance. Nowcasting using
weather radar reflectivity data has been shown to be particularly useful. The Collaborative Adaptive Sensing of the Atmosphere (CASA)
radar network provides high-resolution reflectivity data amenable to producing valuable nowcasts. The high-resolution nature of CASA data requires the use of an efficient nowcasting approach, which necessitated the development of the Dynamic Adaptive
Radar Tracking of Storms (DARTS) and sinc kernel-based advection nowcasting methodology. This methodology was implemented operationally in the CASA Distributed Collaborative Adaptive Sensing (DCAS) system in a robust and efficient manner necessitated by the high-resolution nature of CASA data and distributed nature of the environment in which the nowcasting system operates. Nowcasts up to 10 min to support emergency manager decision-making and 1-5 min to steer the CASA
radar nodes to better observe the advecting storm patterns for forecasters and researchers are currently provided by this system. Results of nowcasting performance during the 2009 CASA IP experiment are presented. Additionally, currently state-of-the-art scale-based filtering methods were adapted and evaluated for use in the CASA DCAS to provide a scale-based analysis of nowcasting. DARTS was also incorporated in the
Weather Support to Deicing Decision Making system to provide more accurate and efficient snow water equivalent nowcasts for aircraft deicing decision support relative to the
radar-based nowcasting method currently used in the operational system. Results of an evaluation using data collected from 2007-2008 by the
Weather Service
Radar-1988 Doppler (WSR-88D) located near Denver, Colorado, and the National Center for Atmospheric Research Marshall Test Site near Boulder, Colorado, are presented. DARTS was also used to study the short-term predictability of precipitation patterns depicted by high-resolution reflectivity data observed at microalpha (0.2-2 km) to mesobeta (20-200 km) scales by the CASA
radar network. Additionally, DARTS was used to investigate the performance of nowcasting rainfall fields derived from specific differential phase estimates, which have been shown to provide more accurate and robust rainfall estimates compared to those made from
radar reflectivity data.
Advisors/Committee Members: Chandrasekar, V. (advisor), Jayasumana, Anura P. (committee member), Mielke, Paul W. (committee member), Notaros, Branislav M. (committee member).
Subjects/Keywords: weather radar; weather forecasting; nowcasting; specific differential phase; prediction; Nowcasting (Meteorology); Meteorological satellites; Weather forecasting; Weather radar networks
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APA ·
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APA (6th Edition):
Ruzanski, E. (2010). Nowcasting for a high-resolution weather radar network. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/45965
Chicago Manual of Style (16th Edition):
Ruzanski, Evan. “Nowcasting for a high-resolution weather radar network.” 2010. Doctoral Dissertation, Colorado State University. Accessed March 07, 2021.
http://hdl.handle.net/10217/45965.
MLA Handbook (7th Edition):
Ruzanski, Evan. “Nowcasting for a high-resolution weather radar network.” 2010. Web. 07 Mar 2021.
Vancouver:
Ruzanski E. Nowcasting for a high-resolution weather radar network. [Internet] [Doctoral dissertation]. Colorado State University; 2010. [cited 2021 Mar 07].
Available from: http://hdl.handle.net/10217/45965.
Council of Science Editors:
Ruzanski E. Nowcasting for a high-resolution weather radar network. [Doctoral Dissertation]. Colorado State University; 2010. Available from: http://hdl.handle.net/10217/45965
University of Iowa
4.
Mandapaka Venkata, Pradeep.
Role of rainfall variability in the statistical structure of peak flows.
Degree: PhD, Civil and Environmental Engineering, 2009, University of Iowa
URL: https://ir.uiowa.edu/etd/403
► This thesis examines the role of rainfall variability and uncertainties on the spatial scaling structure of peak flows using the Whitewater River basin in…
(more)
▼ This thesis examines the role of rainfall variability and uncertainties on the spatial scaling structure of peak flows using the Whitewater River basin in Kansas, and Iowa River basin in Iowa as illustrations. We illustrate why considering individual hydrographs at the outlet of a basin can lead to misleading interpretations of the effects of rainfall variability. The variability of rainfall is characterized in terms of storm intensity, duration, advection velocity, zero-rain intermittency, variance and spatial correlation structure. We begin with the simple scenario of a basin receiving spatially uniform rainfall of varying intensities and durations, and advection velocities. We then use a realistic space-time rainfall field obtained from a popular rainfall model that can reproduce desired storm variability and spatial structure. We employ a recent formulation of flow velocity for a network of channels and calculate peak flow scaling exponents, which are then compared to the scaling exponent of the channel network width function maxima. The study then investigates the role of hillslope characteristics on the peak flow scaling structure. The basin response at the smaller scales is driven by the rainfall intensities (and spatial variability), while the larger scale response is dominated by the rainfall volume as the river network aggregates the variability at the smaller scales. The results obtained from simulation scenarios can be used to make rigorous interpretations of the peak flow scaling structure obtained from actual space-time model, and actual
radar-rainfall events measured by the NEXRAD
weather radar network. An ensemble of probable rainfall fields conditioned on the given
radar-rainfall field is then generated using a
radar-rainfall error model and probable rainfall generator. The statistical structure of ensemble fields is then compared with that of given
radar-rainfall field to quantify the impact of
radar-rainfall errors on 1) spatial characterization of the rainfall events and 2) scaling structure of the peak flows. The effect of
radar-rainfall errors is to introduce spurious correlations in the
radar-rainfall fields, particularly at the smaller scales. However, preliminary results indicated that the
radar-rainfall errors do not significantly affect the peak flow scaling exponents.
Advisors/Committee Members: Krajewski, Witold F. (supervisor).
Subjects/Keywords: Floods; Rainfall; River Networks; Scaling; Uncertainty; Weather Radar; Civil and Environmental Engineering
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APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Mandapaka Venkata, P. (2009). Role of rainfall variability in the statistical structure of peak flows. (Doctoral Dissertation). University of Iowa. Retrieved from https://ir.uiowa.edu/etd/403
Chicago Manual of Style (16th Edition):
Mandapaka Venkata, Pradeep. “Role of rainfall variability in the statistical structure of peak flows.” 2009. Doctoral Dissertation, University of Iowa. Accessed March 07, 2021.
https://ir.uiowa.edu/etd/403.
MLA Handbook (7th Edition):
Mandapaka Venkata, Pradeep. “Role of rainfall variability in the statistical structure of peak flows.” 2009. Web. 07 Mar 2021.
Vancouver:
Mandapaka Venkata P. Role of rainfall variability in the statistical structure of peak flows. [Internet] [Doctoral dissertation]. University of Iowa; 2009. [cited 2021 Mar 07].
Available from: https://ir.uiowa.edu/etd/403.
Council of Science Editors:
Mandapaka Venkata P. Role of rainfall variability in the statistical structure of peak flows. [Doctoral Dissertation]. University of Iowa; 2009. Available from: https://ir.uiowa.edu/etd/403
Virginia Tech
5.
Zarookian, Ruffy.
Feasibility of Spectrum Sharing Between Airborne Weather Radar and Wireless Local Area Networks.
Degree: MS, Electrical and Computer Engineering, 2007, Virginia Tech
URL: http://hdl.handle.net/10919/35841
► Emerging technologies such as wireless local area networks and cellular telephones have dramatically increased the use of wireless communications services within the last 10 years.…
(more)
▼ Emerging technologies such as wireless local area
networks and cellular telephones have dramatically increased the use of wireless communications services within the last 10 years. The shortage of available spectrum exists due to increasing demand for wireless services and current spectrum allocation regulations. To alleviate this shortage, Research aims to improve spectral efficiency and to allow spectrum sharing between separately managed and non-coordinating communications systems.
This thesis explores the feasibility of spectrum sharing between airborne
weather radar and wireless local area
networks at 9.3 GHz – 9.5 GHz. Characteristics of flight paths of aircraft using airborne
weather radar and the low duty cycle of
radar transmissions offer unique opportunities for spectrum sharing. But it was found that the extremely sensitive receivers provide challenges for designing a communications system meant for widespread use. The probability of causing harmful interference to airborne
weather radar is too great for most types of wireless local area
networks, but a direct sequence spread spectrum scheme could share spectrum with airborne
weather radar. Bit errors in wireless local area network links caused by airborne
weather radar interference do not significantly decrease the performance of the wireless local area network system. The distribution of interference outside of the airborne
weather radar receiver by using direct sequence spread spectrum combined with the acceptable bit error rates indicate that while spectrum sharing between airborne
weather radar and wireless local area network at 9.3 GHz – 9.5 GHz is not feasible, direct sequence spread spectrum systems can share spectrum with airborne
weather radars under more limited assumptions.
Advisors/Committee Members: Pratt, Timothy J. (committeechair), Buehrer, R. Michael (committee member), Jacobs, Ira (committee member).
Subjects/Keywords: Airborne Weather Radar; Interference; Radar; Spectrum Sharing; Wireless Local Area Networks; X Band; SHF Band; Wireless Communications
Record Details
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Record Details
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APA ·
Chicago ·
MLA ·
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CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Zarookian, R. (2007). Feasibility of Spectrum Sharing Between Airborne Weather Radar and Wireless Local Area Networks. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/35841
Chicago Manual of Style (16th Edition):
Zarookian, Ruffy. “Feasibility of Spectrum Sharing Between Airborne Weather Radar and Wireless Local Area Networks.” 2007. Masters Thesis, Virginia Tech. Accessed March 07, 2021.
http://hdl.handle.net/10919/35841.
MLA Handbook (7th Edition):
Zarookian, Ruffy. “Feasibility of Spectrum Sharing Between Airborne Weather Radar and Wireless Local Area Networks.” 2007. Web. 07 Mar 2021.
Vancouver:
Zarookian R. Feasibility of Spectrum Sharing Between Airborne Weather Radar and Wireless Local Area Networks. [Internet] [Masters thesis]. Virginia Tech; 2007. [cited 2021 Mar 07].
Available from: http://hdl.handle.net/10919/35841.
Council of Science Editors:
Zarookian R. Feasibility of Spectrum Sharing Between Airborne Weather Radar and Wireless Local Area Networks. [Masters Thesis]. Virginia Tech; 2007. Available from: http://hdl.handle.net/10919/35841
Brno University of Technology
6.
Vlček, Michael.
Predikce deště z meteoradaru: Prediction of Raining from Meteoradar.
Degree: 2019, Brno University of Technology
URL: http://hdl.handle.net/11012/52365
► This thesis deals with rain prediction using information from meteoradar images and some other relevant factors through the computational model of a neural network. It…
(more)
▼ This thesis deals with rain prediction using information from meteoradar images and some other relevant factors through the computational model of a neural network. It focuses on exploring different prediction possibilities using this model and defining the most successful model configuration to fulfill the chosen task.
Advisors/Committee Members: Szőke, Igor (advisor), Pešán, Jan (referee).
Subjects/Keywords: Předpověď deště; počasí; meteoradar; radarové snímky; zpracování obrazu; neuron; umělé neuronové sítě; predikční model; dopředná neuronová síť se zpětným šířením chyby; učící algoritmy; Rain prediction; weather; meteoradar; radar images; image processing; neuron; artificial neural networks; prediction model; feed-forward backpropagation neural network; learning algorithms
Record Details
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Record Details
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APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Vlček, M. (2019). Predikce deště z meteoradaru: Prediction of Raining from Meteoradar. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/52365
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Vlček, Michael. “Predikce deště z meteoradaru: Prediction of Raining from Meteoradar.” 2019. Thesis, Brno University of Technology. Accessed March 07, 2021.
http://hdl.handle.net/11012/52365.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Vlček, Michael. “Predikce deště z meteoradaru: Prediction of Raining from Meteoradar.” 2019. Web. 07 Mar 2021.
Vancouver:
Vlček M. Predikce deště z meteoradaru: Prediction of Raining from Meteoradar. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2021 Mar 07].
Available from: http://hdl.handle.net/11012/52365.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Vlček M. Predikce deště z meteoradaru: Prediction of Raining from Meteoradar. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/52365
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
. 
Open Access Theses and Dissertations