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You searched for +publisher:"University of Oklahoma" +contributor:("xue, ming"). Showing records 1 – 28 of 28 total matches.

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University of Oklahoma

1. Cheng, Jing. ASSIMILATION OF ATTENUATED DATA FROM X-BAND NETWORK RADARS USING ENSEMBLE KALMAN FILTER.

Degree: PhD, 2013, University of Oklahoma

This work is the first to assimilate attenuated observations from a radar network in OSSEs, as well as the first attempt to directly assimilate real, uncorrected CASA data into a numerical weather prediction (NWP) model using EnKF. Advisors/Committee Members: XUE, MING (advisor).

Subjects/Keywords: Precipitation forecasting; Doppler radar; Radar meteorology; Kalman filtering

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APA (6th Edition):

Cheng, J. (2013). ASSIMILATION OF ATTENUATED DATA FROM X-BAND NETWORK RADARS USING ENSEMBLE KALMAN FILTER. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/318682

Chicago Manual of Style (16th Edition):

Cheng, Jing. “ASSIMILATION OF ATTENUATED DATA FROM X-BAND NETWORK RADARS USING ENSEMBLE KALMAN FILTER.” 2013. Doctoral Dissertation, University of Oklahoma. Accessed December 15, 2019. http://hdl.handle.net/11244/318682.

MLA Handbook (7th Edition):

Cheng, Jing. “ASSIMILATION OF ATTENUATED DATA FROM X-BAND NETWORK RADARS USING ENSEMBLE KALMAN FILTER.” 2013. Web. 15 Dec 2019.

Vancouver:

Cheng J. ASSIMILATION OF ATTENUATED DATA FROM X-BAND NETWORK RADARS USING ENSEMBLE KALMAN FILTER. [Internet] [Doctoral dissertation]. University of Oklahoma; 2013. [cited 2019 Dec 15]. Available from: http://hdl.handle.net/11244/318682.

Council of Science Editors:

Cheng J. ASSIMILATION OF ATTENUATED DATA FROM X-BAND NETWORK RADARS USING ENSEMBLE KALMAN FILTER. [Doctoral Dissertation]. University of Oklahoma; 2013. Available from: http://hdl.handle.net/11244/318682


University of Oklahoma

2. Schenkman, Alexander Daniel. Exploring Tornadogenesis with High-Resolution Simulations Initialized with Real Data.

Degree: PhD, 2012, University of Oklahoma

Errors in trajectory analysis are also discussed. A simple, one-dimensional flow is invoked to demonstrate the sensitivities of trajectory analysis to divergent/convergent flows. Possible remedies and alternatives to trajectory analysis are proposed for future work. Advisors/Committee Members: Xue, Ming (advisor).

Subjects/Keywords: Tornadoes; Numerical weather forecasting; Severe storms

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APA (6th Edition):

Schenkman, A. D. (2012). Exploring Tornadogenesis with High-Resolution Simulations Initialized with Real Data. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/318637

Chicago Manual of Style (16th Edition):

Schenkman, Alexander Daniel. “Exploring Tornadogenesis with High-Resolution Simulations Initialized with Real Data.” 2012. Doctoral Dissertation, University of Oklahoma. Accessed December 15, 2019. http://hdl.handle.net/11244/318637.

MLA Handbook (7th Edition):

Schenkman, Alexander Daniel. “Exploring Tornadogenesis with High-Resolution Simulations Initialized with Real Data.” 2012. Web. 15 Dec 2019.

Vancouver:

Schenkman AD. Exploring Tornadogenesis with High-Resolution Simulations Initialized with Real Data. [Internet] [Doctoral dissertation]. University of Oklahoma; 2012. [cited 2019 Dec 15]. Available from: http://hdl.handle.net/11244/318637.

Council of Science Editors:

Schenkman AD. Exploring Tornadogenesis with High-Resolution Simulations Initialized with Real Data. [Doctoral Dissertation]. University of Oklahoma; 2012. Available from: http://hdl.handle.net/11244/318637


University of Oklahoma

3. Dong, Jili. APPLICATIONS OF ENSEMBLE KALMAN FILTER DATA ASSIMILATION: FROM CONVECTIVE THUNDERSTORMS TO HURRICANES.

Degree: PhD, 2010, University of Oklahoma

 Assimilation of additional minimum mean sea level pressure from best track data together with Z leads to further improvement in intensity and track forecast compared… (more)

Subjects/Keywords: Numerical weather forecasting; Kalman filtering; Radar meteorology; Thunderstorm forecasting; Hurricanes – Forecasting

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APA (6th Edition):

Dong, J. (2010). APPLICATIONS OF ENSEMBLE KALMAN FILTER DATA ASSIMILATION: FROM CONVECTIVE THUNDERSTORMS TO HURRICANES. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/318633

Chicago Manual of Style (16th Edition):

Dong, Jili. “APPLICATIONS OF ENSEMBLE KALMAN FILTER DATA ASSIMILATION: FROM CONVECTIVE THUNDERSTORMS TO HURRICANES.” 2010. Doctoral Dissertation, University of Oklahoma. Accessed December 15, 2019. http://hdl.handle.net/11244/318633.

MLA Handbook (7th Edition):

Dong, Jili. “APPLICATIONS OF ENSEMBLE KALMAN FILTER DATA ASSIMILATION: FROM CONVECTIVE THUNDERSTORMS TO HURRICANES.” 2010. Web. 15 Dec 2019.

Vancouver:

Dong J. APPLICATIONS OF ENSEMBLE KALMAN FILTER DATA ASSIMILATION: FROM CONVECTIVE THUNDERSTORMS TO HURRICANES. [Internet] [Doctoral dissertation]. University of Oklahoma; 2010. [cited 2019 Dec 15]. Available from: http://hdl.handle.net/11244/318633.

Council of Science Editors:

Dong J. APPLICATIONS OF ENSEMBLE KALMAN FILTER DATA ASSIMILATION: FROM CONVECTIVE THUNDERSTORMS TO HURRICANES. [Doctoral Dissertation]. University of Oklahoma; 2010. Available from: http://hdl.handle.net/11244/318633


University of Oklahoma

4. Snook, Nathan A. Assimilation of CASA and WSR-88D Radar Data for Tornadic Convective Storms using an Ensemble Kalman Filter and Applications in Probabilistic Ensemble Forecasting.

Degree: PhD, 2011, University of Oklahoma

 Sensitivity to the assumed observation error used during EnKF data assimilation is noted in the nested-grid experiments. Experiments using assumed observation errors of 2 ms-1… (more)

Subjects/Keywords: Doppler radar; Tornadoes – Forecasting; Thunderstorm forecasting

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APA (6th Edition):

Snook, N. A. (2011). Assimilation of CASA and WSR-88D Radar Data for Tornadic Convective Storms using an Ensemble Kalman Filter and Applications in Probabilistic Ensemble Forecasting. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/318686

Chicago Manual of Style (16th Edition):

Snook, Nathan A. “Assimilation of CASA and WSR-88D Radar Data for Tornadic Convective Storms using an Ensemble Kalman Filter and Applications in Probabilistic Ensemble Forecasting.” 2011. Doctoral Dissertation, University of Oklahoma. Accessed December 15, 2019. http://hdl.handle.net/11244/318686.

MLA Handbook (7th Edition):

Snook, Nathan A. “Assimilation of CASA and WSR-88D Radar Data for Tornadic Convective Storms using an Ensemble Kalman Filter and Applications in Probabilistic Ensemble Forecasting.” 2011. Web. 15 Dec 2019.

Vancouver:

Snook NA. Assimilation of CASA and WSR-88D Radar Data for Tornadic Convective Storms using an Ensemble Kalman Filter and Applications in Probabilistic Ensemble Forecasting. [Internet] [Doctoral dissertation]. University of Oklahoma; 2011. [cited 2019 Dec 15]. Available from: http://hdl.handle.net/11244/318686.

Council of Science Editors:

Snook NA. Assimilation of CASA and WSR-88D Radar Data for Tornadic Convective Storms using an Ensemble Kalman Filter and Applications in Probabilistic Ensemble Forecasting. [Doctoral Dissertation]. University of Oklahoma; 2011. Available from: http://hdl.handle.net/11244/318686


University of Oklahoma

5. Duda, Jeffrey. OPTIMAL DESIGN OF A CONVECTION-ALLOWING ENSEMBLE FROM A MODEL ERROR PERSPECTIVE.

Degree: PhD, 2016, University of Oklahoma

 As computer technology continues to improve, resources are becoming increasingly available for running an ensemble of NWP simulations with sufficient resolution that convection parameterization is… (more)

Subjects/Keywords: Meteorology; Numerical Weather Prediction; ensemble forecasting; deep moist convection

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APA (6th Edition):

Duda, J. (2016). OPTIMAL DESIGN OF A CONVECTION-ALLOWING ENSEMBLE FROM A MODEL ERROR PERSPECTIVE. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/34801

Chicago Manual of Style (16th Edition):

Duda, Jeffrey. “OPTIMAL DESIGN OF A CONVECTION-ALLOWING ENSEMBLE FROM A MODEL ERROR PERSPECTIVE.” 2016. Doctoral Dissertation, University of Oklahoma. Accessed December 15, 2019. http://hdl.handle.net/11244/34801.

MLA Handbook (7th Edition):

Duda, Jeffrey. “OPTIMAL DESIGN OF A CONVECTION-ALLOWING ENSEMBLE FROM A MODEL ERROR PERSPECTIVE.” 2016. Web. 15 Dec 2019.

Vancouver:

Duda J. OPTIMAL DESIGN OF A CONVECTION-ALLOWING ENSEMBLE FROM A MODEL ERROR PERSPECTIVE. [Internet] [Doctoral dissertation]. University of Oklahoma; 2016. [cited 2019 Dec 15]. Available from: http://hdl.handle.net/11244/34801.

Council of Science Editors:

Duda J. OPTIMAL DESIGN OF A CONVECTION-ALLOWING ENSEMBLE FROM A MODEL ERROR PERSPECTIVE. [Doctoral Dissertation]. University of Oklahoma; 2016. Available from: http://hdl.handle.net/11244/34801


University of Oklahoma

6. Zhao, Gang. DEVELOPMENT OF ARPS LETKF WITH FOUR DIMENSIONAL EXTENSION AND INTERCOMPARISON WITH ARPS ENSRF.

Degree: PhD, 2013, University of Oklahoma

 The local ensemble transform Kalman filter (LETKF) has not been applied the storm-scale radar data assimilation (DA) problem until very recently. In this work, LETKF… (more)

Subjects/Keywords: Atmospheric Sciences.

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APA (6th Edition):

Zhao, G. (2013). DEVELOPMENT OF ARPS LETKF WITH FOUR DIMENSIONAL EXTENSION AND INTERCOMPARISON WITH ARPS ENSRF. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/7904

Chicago Manual of Style (16th Edition):

Zhao, Gang. “DEVELOPMENT OF ARPS LETKF WITH FOUR DIMENSIONAL EXTENSION AND INTERCOMPARISON WITH ARPS ENSRF.” 2013. Doctoral Dissertation, University of Oklahoma. Accessed December 15, 2019. http://hdl.handle.net/11244/7904.

MLA Handbook (7th Edition):

Zhao, Gang. “DEVELOPMENT OF ARPS LETKF WITH FOUR DIMENSIONAL EXTENSION AND INTERCOMPARISON WITH ARPS ENSRF.” 2013. Web. 15 Dec 2019.

Vancouver:

Zhao G. DEVELOPMENT OF ARPS LETKF WITH FOUR DIMENSIONAL EXTENSION AND INTERCOMPARISON WITH ARPS ENSRF. [Internet] [Doctoral dissertation]. University of Oklahoma; 2013. [cited 2019 Dec 15]. Available from: http://hdl.handle.net/11244/7904.

Council of Science Editors:

Zhao G. DEVELOPMENT OF ARPS LETKF WITH FOUR DIMENSIONAL EXTENSION AND INTERCOMPARISON WITH ARPS ENSRF. [Doctoral Dissertation]. University of Oklahoma; 2013. Available from: http://hdl.handle.net/11244/7904


University of Oklahoma

7. Sobash, Ryan. Assimilation of radar and surface observations of a developing convective system: Observing system simulation and real-data experiments.

Degree: PhD, 2013, University of Oklahoma

 Convective-scale observing system simulation experiments (OSSEs) and real-data experiments were performed to study the impact of radar and surface observations on analyses and forecasts of… (more)

Subjects/Keywords: Data assimilation; meteorology; severe storms

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APA (6th Edition):

Sobash, R. (2013). Assimilation of radar and surface observations of a developing convective system: Observing system simulation and real-data experiments. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/7912

Chicago Manual of Style (16th Edition):

Sobash, Ryan. “Assimilation of radar and surface observations of a developing convective system: Observing system simulation and real-data experiments.” 2013. Doctoral Dissertation, University of Oklahoma. Accessed December 15, 2019. http://hdl.handle.net/11244/7912.

MLA Handbook (7th Edition):

Sobash, Ryan. “Assimilation of radar and surface observations of a developing convective system: Observing system simulation and real-data experiments.” 2013. Web. 15 Dec 2019.

Vancouver:

Sobash R. Assimilation of radar and surface observations of a developing convective system: Observing system simulation and real-data experiments. [Internet] [Doctoral dissertation]. University of Oklahoma; 2013. [cited 2019 Dec 15]. Available from: http://hdl.handle.net/11244/7912.

Council of Science Editors:

Sobash R. Assimilation of radar and surface observations of a developing convective system: Observing system simulation and real-data experiments. [Doctoral Dissertation]. University of Oklahoma; 2013. Available from: http://hdl.handle.net/11244/7912


University of Oklahoma

8. Jabrzemski, Rafal. Application of the Forward Sensitivity Method to Data Assimilation of the Lagrangian Tracer Dynamics.

Degree: PhD, 2014, University of Oklahoma

 The analysis of the dynamics of a tracer/drifter/buoy floating on the free surface of the water waves in the open ocean whose motion is described… (more)

Subjects/Keywords: Computer Science.; Physics, Atmospheric Science.; Physical Oceanography.

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APA (6th Edition):

Jabrzemski, R. (2014). Application of the Forward Sensitivity Method to Data Assimilation of the Lagrangian Tracer Dynamics. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/10363

Chicago Manual of Style (16th Edition):

Jabrzemski, Rafal. “Application of the Forward Sensitivity Method to Data Assimilation of the Lagrangian Tracer Dynamics.” 2014. Doctoral Dissertation, University of Oklahoma. Accessed December 15, 2019. http://hdl.handle.net/11244/10363.

MLA Handbook (7th Edition):

Jabrzemski, Rafal. “Application of the Forward Sensitivity Method to Data Assimilation of the Lagrangian Tracer Dynamics.” 2014. Web. 15 Dec 2019.

Vancouver:

Jabrzemski R. Application of the Forward Sensitivity Method to Data Assimilation of the Lagrangian Tracer Dynamics. [Internet] [Doctoral dissertation]. University of Oklahoma; 2014. [cited 2019 Dec 15]. Available from: http://hdl.handle.net/11244/10363.

Council of Science Editors:

Jabrzemski R. Application of the Forward Sensitivity Method to Data Assimilation of the Lagrangian Tracer Dynamics. [Doctoral Dissertation]. University of Oklahoma; 2014. Available from: http://hdl.handle.net/11244/10363


University of Oklahoma

9. Dahl, Nathan. Coupling the Advanced Regional Prediction System and the Discrete Event Specification Fire Spread Model to Predict Wildfire Behavior.

Degree: PhD, 2014, University of Oklahoma

 The cost of wildfire suppression in the United States has risen dramatically over the last 20 years. As the interface between wildland and urban areas… (more)

Subjects/Keywords: Physics; Atmospheric Science.

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APA (6th Edition):

Dahl, N. (2014). Coupling the Advanced Regional Prediction System and the Discrete Event Specification Fire Spread Model to Predict Wildfire Behavior. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/10403

Chicago Manual of Style (16th Edition):

Dahl, Nathan. “Coupling the Advanced Regional Prediction System and the Discrete Event Specification Fire Spread Model to Predict Wildfire Behavior.” 2014. Doctoral Dissertation, University of Oklahoma. Accessed December 15, 2019. http://hdl.handle.net/11244/10403.

MLA Handbook (7th Edition):

Dahl, Nathan. “Coupling the Advanced Regional Prediction System and the Discrete Event Specification Fire Spread Model to Predict Wildfire Behavior.” 2014. Web. 15 Dec 2019.

Vancouver:

Dahl N. Coupling the Advanced Regional Prediction System and the Discrete Event Specification Fire Spread Model to Predict Wildfire Behavior. [Internet] [Doctoral dissertation]. University of Oklahoma; 2014. [cited 2019 Dec 15]. Available from: http://hdl.handle.net/11244/10403.

Council of Science Editors:

Dahl N. Coupling the Advanced Regional Prediction System and the Discrete Event Specification Fire Spread Model to Predict Wildfire Behavior. [Doctoral Dissertation]. University of Oklahoma; 2014. Available from: http://hdl.handle.net/11244/10403


University of Oklahoma

10. Johnson, Aaron. Optimal Design of a Multi-scale Ensemble System for Convective Scale Probabilistic Forecasts: Data Assimilation and Initial Condition Perturbation Methods.

Degree: PhD, 2014, University of Oklahoma

 This dissertation research was undertaken to better understand the optimal design of convection-permitting storm-scale ensemble forecast (SSEF) systems that resolve features ranging from synoptic to… (more)

Subjects/Keywords: convection-permitting; ensemble; multi-scale data assimilation; initial condition perturbation; EnKF

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APA (6th Edition):

Johnson, A. (2014). Optimal Design of a Multi-scale Ensemble System for Convective Scale Probabilistic Forecasts: Data Assimilation and Initial Condition Perturbation Methods. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/13887

Chicago Manual of Style (16th Edition):

Johnson, Aaron. “Optimal Design of a Multi-scale Ensemble System for Convective Scale Probabilistic Forecasts: Data Assimilation and Initial Condition Perturbation Methods.” 2014. Doctoral Dissertation, University of Oklahoma. Accessed December 15, 2019. http://hdl.handle.net/11244/13887.

MLA Handbook (7th Edition):

Johnson, Aaron. “Optimal Design of a Multi-scale Ensemble System for Convective Scale Probabilistic Forecasts: Data Assimilation and Initial Condition Perturbation Methods.” 2014. Web. 15 Dec 2019.

Vancouver:

Johnson A. Optimal Design of a Multi-scale Ensemble System for Convective Scale Probabilistic Forecasts: Data Assimilation and Initial Condition Perturbation Methods. [Internet] [Doctoral dissertation]. University of Oklahoma; 2014. [cited 2019 Dec 15]. Available from: http://hdl.handle.net/11244/13887.

Council of Science Editors:

Johnson A. Optimal Design of a Multi-scale Ensemble System for Convective Scale Probabilistic Forecasts: Data Assimilation and Initial Condition Perturbation Methods. [Doctoral Dissertation]. University of Oklahoma; 2014. Available from: http://hdl.handle.net/11244/13887


University of Oklahoma

11. Li, Yongzuo. ASSIMILATION OF RADAR OBSERVATIONS WITH ENSEMBLE VARIATIONAL HYBRID DATA ASSIMILATION METHOD FOR THE INITIALIZATION AND PREDICTION OF HURRICANES.

Degree: PhD, 2015, University of Oklahoma

 Data assimilation is a critical component for accurate model forecast. This dissertation investigated the ensemble-variational hybrid data assimilation methods using land based radar and airborne… (more)

Subjects/Keywords: Atmospheric Sciences.

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APA (6th Edition):

Li, Y. (2015). ASSIMILATION OF RADAR OBSERVATIONS WITH ENSEMBLE VARIATIONAL HYBRID DATA ASSIMILATION METHOD FOR THE INITIALIZATION AND PREDICTION OF HURRICANES. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/14050

Chicago Manual of Style (16th Edition):

Li, Yongzuo. “ASSIMILATION OF RADAR OBSERVATIONS WITH ENSEMBLE VARIATIONAL HYBRID DATA ASSIMILATION METHOD FOR THE INITIALIZATION AND PREDICTION OF HURRICANES.” 2015. Doctoral Dissertation, University of Oklahoma. Accessed December 15, 2019. http://hdl.handle.net/11244/14050.

MLA Handbook (7th Edition):

Li, Yongzuo. “ASSIMILATION OF RADAR OBSERVATIONS WITH ENSEMBLE VARIATIONAL HYBRID DATA ASSIMILATION METHOD FOR THE INITIALIZATION AND PREDICTION OF HURRICANES.” 2015. Web. 15 Dec 2019.

Vancouver:

Li Y. ASSIMILATION OF RADAR OBSERVATIONS WITH ENSEMBLE VARIATIONAL HYBRID DATA ASSIMILATION METHOD FOR THE INITIALIZATION AND PREDICTION OF HURRICANES. [Internet] [Doctoral dissertation]. University of Oklahoma; 2015. [cited 2019 Dec 15]. Available from: http://hdl.handle.net/11244/14050.

Council of Science Editors:

Li Y. ASSIMILATION OF RADAR OBSERVATIONS WITH ENSEMBLE VARIATIONAL HYBRID DATA ASSIMILATION METHOD FOR THE INITIALIZATION AND PREDICTION OF HURRICANES. [Doctoral Dissertation]. University of Oklahoma; 2015. Available from: http://hdl.handle.net/11244/14050


University of Oklahoma

12. Putnam, Bryan. THE PREDICTION AND ASSIMILATION OF POLARIMETRIC RADAR DATA USING ENSEMBLE-BASED METHODS.

Degree: PhD, 2016, University of Oklahoma

 Accurately representing the microphysical state of precipitation using bulk microphysics schemes, including the hydrometeor particle size distributions (PSDs), is vital to improving convective-scale forecasts. In… (more)

Subjects/Keywords: data assimilation; polarimetric radar; convective-scale modeling

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APA (6th Edition):

Putnam, B. (2016). THE PREDICTION AND ASSIMILATION OF POLARIMETRIC RADAR DATA USING ENSEMBLE-BASED METHODS. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/34807

Chicago Manual of Style (16th Edition):

Putnam, Bryan. “THE PREDICTION AND ASSIMILATION OF POLARIMETRIC RADAR DATA USING ENSEMBLE-BASED METHODS.” 2016. Doctoral Dissertation, University of Oklahoma. Accessed December 15, 2019. http://hdl.handle.net/11244/34807.

MLA Handbook (7th Edition):

Putnam, Bryan. “THE PREDICTION AND ASSIMILATION OF POLARIMETRIC RADAR DATA USING ENSEMBLE-BASED METHODS.” 2016. Web. 15 Dec 2019.

Vancouver:

Putnam B. THE PREDICTION AND ASSIMILATION OF POLARIMETRIC RADAR DATA USING ENSEMBLE-BASED METHODS. [Internet] [Doctoral dissertation]. University of Oklahoma; 2016. [cited 2019 Dec 15]. Available from: http://hdl.handle.net/11244/34807.

Council of Science Editors:

Putnam B. THE PREDICTION AND ASSIMILATION OF POLARIMETRIC RADAR DATA USING ENSEMBLE-BASED METHODS. [Doctoral Dissertation]. University of Oklahoma; 2016. Available from: http://hdl.handle.net/11244/34807


University of Oklahoma

13. Stratman, Derek. Sensitivities of 1-km Forecasts of Tornadic Supercells to Microphysics Parameterizations, Assimilated Radar Data, and Assimilation Techniques.

Degree: PhD, 2016, University of Oklahoma

 The aim of this study is to examine the impact of using five different microphysics parameterization schemes, including single-, double-, and triple-moment microphysics, in an… (more)

Subjects/Keywords: NWP; storm-scale forecasting; data assimilation; microphysics parameterizations

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APA (6th Edition):

Stratman, D. (2016). Sensitivities of 1-km Forecasts of Tornadic Supercells to Microphysics Parameterizations, Assimilated Radar Data, and Assimilation Techniques. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/34808

Chicago Manual of Style (16th Edition):

Stratman, Derek. “Sensitivities of 1-km Forecasts of Tornadic Supercells to Microphysics Parameterizations, Assimilated Radar Data, and Assimilation Techniques.” 2016. Doctoral Dissertation, University of Oklahoma. Accessed December 15, 2019. http://hdl.handle.net/11244/34808.

MLA Handbook (7th Edition):

Stratman, Derek. “Sensitivities of 1-km Forecasts of Tornadic Supercells to Microphysics Parameterizations, Assimilated Radar Data, and Assimilation Techniques.” 2016. Web. 15 Dec 2019.

Vancouver:

Stratman D. Sensitivities of 1-km Forecasts of Tornadic Supercells to Microphysics Parameterizations, Assimilated Radar Data, and Assimilation Techniques. [Internet] [Doctoral dissertation]. University of Oklahoma; 2016. [cited 2019 Dec 15]. Available from: http://hdl.handle.net/11244/34808.

Council of Science Editors:

Stratman D. Sensitivities of 1-km Forecasts of Tornadic Supercells to Microphysics Parameterizations, Assimilated Radar Data, and Assimilation Techniques. [Doctoral Dissertation]. University of Oklahoma; 2016. Available from: http://hdl.handle.net/11244/34808


University of Oklahoma

14. Roberts, Brett. The Role of Surface Drag in Supercell Tornadogenesis and Mesocyclogenesis: Studies Based on Idealized Numerical Simulations.

Degree: PhD, 2017, University of Oklahoma

 Idealized numerical simulations of supercell thunderstorms have been employed for several decades to study tornadogenesis, providing valuable insights that have helped shape our current understanding… (more)

Subjects/Keywords: Physics, Atmospheric Science.; supercells; tornadoes; numerical weather prediction; severe storms

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APA (6th Edition):

Roberts, B. (2017). The Role of Surface Drag in Supercell Tornadogenesis and Mesocyclogenesis: Studies Based on Idealized Numerical Simulations. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/50736

Chicago Manual of Style (16th Edition):

Roberts, Brett. “The Role of Surface Drag in Supercell Tornadogenesis and Mesocyclogenesis: Studies Based on Idealized Numerical Simulations.” 2017. Doctoral Dissertation, University of Oklahoma. Accessed December 15, 2019. http://hdl.handle.net/11244/50736.

MLA Handbook (7th Edition):

Roberts, Brett. “The Role of Surface Drag in Supercell Tornadogenesis and Mesocyclogenesis: Studies Based on Idealized Numerical Simulations.” 2017. Web. 15 Dec 2019.

Vancouver:

Roberts B. The Role of Surface Drag in Supercell Tornadogenesis and Mesocyclogenesis: Studies Based on Idealized Numerical Simulations. [Internet] [Doctoral dissertation]. University of Oklahoma; 2017. [cited 2019 Dec 15]. Available from: http://hdl.handle.net/11244/50736.

Council of Science Editors:

Roberts B. The Role of Surface Drag in Supercell Tornadogenesis and Mesocyclogenesis: Studies Based on Idealized Numerical Simulations. [Doctoral Dissertation]. University of Oklahoma; 2017. Available from: http://hdl.handle.net/11244/50736


University of Oklahoma

15. Johnson, Marcus. ASSESSMENT OF ONE-MOMENT AND TWO-MOMENT BULK MICROPHYSICS AND SPECTRAL BIN MICROPHYSICS SCHEMES USING IDEALIZED SUPERCELL SIMULATIONS AND REAL DATA CONVECTIVE-SCALE PREDICTIONS.

Degree: PhD, 2019, University of Oklahoma

 Optimal hydrometeor parameterization and their associated processes in microphysics schemes (both spectral bin and bulk) continue to evolve as these schemes attempt to match observed… (more)

Subjects/Keywords: Microphysics; Numerical weather prediction; Convective-scale simulations

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APA (6th Edition):

Johnson, M. (2019). ASSESSMENT OF ONE-MOMENT AND TWO-MOMENT BULK MICROPHYSICS AND SPECTRAL BIN MICROPHYSICS SCHEMES USING IDEALIZED SUPERCELL SIMULATIONS AND REAL DATA CONVECTIVE-SCALE PREDICTIONS. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/319577

Chicago Manual of Style (16th Edition):

Johnson, Marcus. “ASSESSMENT OF ONE-MOMENT AND TWO-MOMENT BULK MICROPHYSICS AND SPECTRAL BIN MICROPHYSICS SCHEMES USING IDEALIZED SUPERCELL SIMULATIONS AND REAL DATA CONVECTIVE-SCALE PREDICTIONS.” 2019. Doctoral Dissertation, University of Oklahoma. Accessed December 15, 2019. http://hdl.handle.net/11244/319577.

MLA Handbook (7th Edition):

Johnson, Marcus. “ASSESSMENT OF ONE-MOMENT AND TWO-MOMENT BULK MICROPHYSICS AND SPECTRAL BIN MICROPHYSICS SCHEMES USING IDEALIZED SUPERCELL SIMULATIONS AND REAL DATA CONVECTIVE-SCALE PREDICTIONS.” 2019. Web. 15 Dec 2019.

Vancouver:

Johnson M. ASSESSMENT OF ONE-MOMENT AND TWO-MOMENT BULK MICROPHYSICS AND SPECTRAL BIN MICROPHYSICS SCHEMES USING IDEALIZED SUPERCELL SIMULATIONS AND REAL DATA CONVECTIVE-SCALE PREDICTIONS. [Internet] [Doctoral dissertation]. University of Oklahoma; 2019. [cited 2019 Dec 15]. Available from: http://hdl.handle.net/11244/319577.

Council of Science Editors:

Johnson M. ASSESSMENT OF ONE-MOMENT AND TWO-MOMENT BULK MICROPHYSICS AND SPECTRAL BIN MICROPHYSICS SCHEMES USING IDEALIZED SUPERCELL SIMULATIONS AND REAL DATA CONVECTIVE-SCALE PREDICTIONS. [Doctoral Dissertation]. University of Oklahoma; 2019. Available from: http://hdl.handle.net/11244/319577


University of Oklahoma

16. Mahale, Vivek. Analysis of the Dynamics and Microphysics of a Wet Downburst Case Using Dual-Polarization Radar Data.

Degree: PhD, 2019, University of Oklahoma

 A significant, wet downburst affected Norman, Oklahoma, on 14 June 2011. Surface winds in excess of 35 m/s (>80 mph) and hailstones in excess of… (more)

Subjects/Keywords: Polarimetric Radar; Downbursts; Microphysics; Variational Retrieval

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APA (6th Edition):

Mahale, V. (2019). Analysis of the Dynamics and Microphysics of a Wet Downburst Case Using Dual-Polarization Radar Data. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/319368

Chicago Manual of Style (16th Edition):

Mahale, Vivek. “Analysis of the Dynamics and Microphysics of a Wet Downburst Case Using Dual-Polarization Radar Data.” 2019. Doctoral Dissertation, University of Oklahoma. Accessed December 15, 2019. http://hdl.handle.net/11244/319368.

MLA Handbook (7th Edition):

Mahale, Vivek. “Analysis of the Dynamics and Microphysics of a Wet Downburst Case Using Dual-Polarization Radar Data.” 2019. Web. 15 Dec 2019.

Vancouver:

Mahale V. Analysis of the Dynamics and Microphysics of a Wet Downburst Case Using Dual-Polarization Radar Data. [Internet] [Doctoral dissertation]. University of Oklahoma; 2019. [cited 2019 Dec 15]. Available from: http://hdl.handle.net/11244/319368.

Council of Science Editors:

Mahale V. Analysis of the Dynamics and Microphysics of a Wet Downburst Case Using Dual-Polarization Radar Data. [Doctoral Dissertation]. University of Oklahoma; 2019. Available from: http://hdl.handle.net/11244/319368


University of Oklahoma

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

Degree: PhD, 2014, University of Oklahoma

 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.… (more)

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

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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 December 15, 2019. 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. 15 Dec 2019.

Vancouver:

May RM. Estimating and Mitigating Errors in Dual-Polarization Radar Attenuation Correction. [Internet] [Doctoral dissertation]. University of Oklahoma; 2014. [cited 2019 Dec 15]. 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


University of Oklahoma

18. Nutter, Paul Andrew. Effects of nesting frequency and lateral boundary perturbations on the dispersion of limited-area ensemble forecasts.

Degree: PhD, School of Meteorology, 2003, University of Oklahoma

 It is known that "one-way" lateral boundary conditions (LBCs) constrain the growth of initial perturbations in limited-area model (LAM) ensemble forecasts, therefore reducing ensemble dispersion.… (more)

Subjects/Keywords: Weather forecasting.; Geophysics.; Atmospheric circulation.; Long-range weather forecasting.; Physics, Atmospheric Science.

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APA (6th Edition):

Nutter, P. A. (2003). Effects of nesting frequency and lateral boundary perturbations on the dispersion of limited-area ensemble forecasts. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/556

Chicago Manual of Style (16th Edition):

Nutter, Paul Andrew. “Effects of nesting frequency and lateral boundary perturbations on the dispersion of limited-area ensemble forecasts.” 2003. Doctoral Dissertation, University of Oklahoma. Accessed December 15, 2019. http://hdl.handle.net/11244/556.

MLA Handbook (7th Edition):

Nutter, Paul Andrew. “Effects of nesting frequency and lateral boundary perturbations on the dispersion of limited-area ensemble forecasts.” 2003. Web. 15 Dec 2019.

Vancouver:

Nutter PA. Effects of nesting frequency and lateral boundary perturbations on the dispersion of limited-area ensemble forecasts. [Internet] [Doctoral dissertation]. University of Oklahoma; 2003. [cited 2019 Dec 15]. Available from: http://hdl.handle.net/11244/556.

Council of Science Editors:

Nutter PA. Effects of nesting frequency and lateral boundary perturbations on the dispersion of limited-area ensemble forecasts. [Doctoral Dissertation]. University of Oklahoma; 2003. Available from: http://hdl.handle.net/11244/556


University of Oklahoma

19. Hu, Ming. 3DVAR and cloud analysis with WSR-88D Level-II data for the prediction of tornadic thunderstorms.

Degree: PhD, School of Meteorology, 2005, University of Oklahoma

 The assimilation and forecast system is applied to three tornadic thunderstorm cases, specifically, the 28 March 2000 Fort Worth, Texas, tornadic thunderstorm case, the 8… (more)

Subjects/Keywords: Doppler radar.; Weather forecasting.; Physics, Atmospheric Science.; Tornadoes Texas Fort Worth.; Tornadoes Oklahoma Oklahoma City.

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APA (6th Edition):

Hu, M. (2005). 3DVAR and cloud analysis with WSR-88D Level-II data for the prediction of tornadic thunderstorms. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/955

Chicago Manual of Style (16th Edition):

Hu, Ming. “3DVAR and cloud analysis with WSR-88D Level-II data for the prediction of tornadic thunderstorms.” 2005. Doctoral Dissertation, University of Oklahoma. Accessed December 15, 2019. http://hdl.handle.net/11244/955.

MLA Handbook (7th Edition):

Hu, Ming. “3DVAR and cloud analysis with WSR-88D Level-II data for the prediction of tornadic thunderstorms.” 2005. Web. 15 Dec 2019.

Vancouver:

Hu M. 3DVAR and cloud analysis with WSR-88D Level-II data for the prediction of tornadic thunderstorms. [Internet] [Doctoral dissertation]. University of Oklahoma; 2005. [cited 2019 Dec 15]. Available from: http://hdl.handle.net/11244/955.

Council of Science Editors:

Hu M. 3DVAR and cloud analysis with WSR-88D Level-II data for the prediction of tornadic thunderstorms. [Doctoral Dissertation]. University of Oklahoma; 2005. Available from: http://hdl.handle.net/11244/955


University of Oklahoma

20. Tong, Mingjing. Ensemble Kalman filter assimilation of Doppler radar data for the initialization and prediction of convective storms.

Degree: PhD, School of Meteorology, 2006, University of Oklahoma

 Assimilation of Doppler radar data is very important for storm-scale NWP. To retrieve dynamically consistent wind, thermodynamic and microphysical fields from radar radial velocity and… (more)

Subjects/Keywords: Storms.; Physics, Atmospheric Science.; Weather forecasting.; Kalman filtering.; Geotechnology.

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APA (6th Edition):

Tong, M. (2006). Ensemble Kalman filter assimilation of Doppler radar data for the initialization and prediction of convective storms. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/1001

Chicago Manual of Style (16th Edition):

Tong, Mingjing. “Ensemble Kalman filter assimilation of Doppler radar data for the initialization and prediction of convective storms.” 2006. Doctoral Dissertation, University of Oklahoma. Accessed December 15, 2019. http://hdl.handle.net/11244/1001.

MLA Handbook (7th Edition):

Tong, Mingjing. “Ensemble Kalman filter assimilation of Doppler radar data for the initialization and prediction of convective storms.” 2006. Web. 15 Dec 2019.

Vancouver:

Tong M. Ensemble Kalman filter assimilation of Doppler radar data for the initialization and prediction of convective storms. [Internet] [Doctoral dissertation]. University of Oklahoma; 2006. [cited 2019 Dec 15]. Available from: http://hdl.handle.net/11244/1001.

Council of Science Editors:

Tong M. Ensemble Kalman filter assimilation of Doppler radar data for the initialization and prediction of convective storms. [Doctoral Dissertation]. University of Oklahoma; 2006. Available from: http://hdl.handle.net/11244/1001


University of Oklahoma

21. Liu, Haixia. Retrieval of moisture from GPS slant-path water vapor observations using 3DVAR and its impact on the prediction of convection initiation and precipitation.

Degree: PhD, School of Meteorology, 2007, University of Oklahoma

 The accurate prediction of convection initiation and the subsequent precipitation in a cloud-resolving numerical model is highly dependent on the precise estimate of the three-dimensional… (more)

Subjects/Keywords: Precipitation forecasting.; Geotechnology.; Atmospheric Sciences.; Precipitable water.; Water vapor, Atmospheric.

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APA (6th Edition):

Liu, H. (2007). Retrieval of moisture from GPS slant-path water vapor observations using 3DVAR and its impact on the prediction of convection initiation and precipitation. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/1181

Chicago Manual of Style (16th Edition):

Liu, Haixia. “Retrieval of moisture from GPS slant-path water vapor observations using 3DVAR and its impact on the prediction of convection initiation and precipitation.” 2007. Doctoral Dissertation, University of Oklahoma. Accessed December 15, 2019. http://hdl.handle.net/11244/1181.

MLA Handbook (7th Edition):

Liu, Haixia. “Retrieval of moisture from GPS slant-path water vapor observations using 3DVAR and its impact on the prediction of convection initiation and precipitation.” 2007. Web. 15 Dec 2019.

Vancouver:

Liu H. Retrieval of moisture from GPS slant-path water vapor observations using 3DVAR and its impact on the prediction of convection initiation and precipitation. [Internet] [Doctoral dissertation]. University of Oklahoma; 2007. [cited 2019 Dec 15]. Available from: http://hdl.handle.net/11244/1181.

Council of Science Editors:

Liu H. Retrieval of moisture from GPS slant-path water vapor observations using 3DVAR and its impact on the prediction of convection initiation and precipitation. [Doctoral Dissertation]. University of Oklahoma; 2007. Available from: http://hdl.handle.net/11244/1181


University of Oklahoma

22. Ren, Diandong. 4DVAR retrieval of prognostic land surface model variables.

Degree: PhD, School of Meteorology, 2004, University of Oklahoma

 For the second retrieval problem, the Medium Range Forecast (MRF) PBL model is implemented within the Advanced Regional Prediction System (ARPS), forming a coupled LSM-PBL… (more)

Subjects/Keywords: Environmental Sciences.; Numerical weather forecasting.; Hydrology.; Soil moisture Measurement.; Atmosphere Mathematical models.

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APA (6th Edition):

Ren, D. (2004). 4DVAR retrieval of prognostic land surface model variables. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/1232

Chicago Manual of Style (16th Edition):

Ren, Diandong. “4DVAR retrieval of prognostic land surface model variables.” 2004. Doctoral Dissertation, University of Oklahoma. Accessed December 15, 2019. http://hdl.handle.net/11244/1232.

MLA Handbook (7th Edition):

Ren, Diandong. “4DVAR retrieval of prognostic land surface model variables.” 2004. Web. 15 Dec 2019.

Vancouver:

Ren D. 4DVAR retrieval of prognostic land surface model variables. [Internet] [Doctoral dissertation]. University of Oklahoma; 2004. [cited 2019 Dec 15]. Available from: http://hdl.handle.net/11244/1232.

Council of Science Editors:

Ren D. 4DVAR retrieval of prognostic land surface model variables. [Doctoral Dissertation]. University of Oklahoma; 2004. Available from: http://hdl.handle.net/11244/1232


University of Oklahoma

23. JUNG, YOUNG SUN. STATE AND PARAMETER ESTIMATION USING POLARIMETRIC RADAR DATA AND AN ENSEMBLE KALMAN FILTER.

Degree: PhD, 2008, University of Oklahoma

 It is also suggested that the polarimetrc variable that contains the most independent information content has the largest positive impact on the analysis. Between ZDR… (more)

Subjects/Keywords: Radar; Polarimetry; Kalman filtering; Weather forecasting – Mathematical models

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APA (6th Edition):

JUNG, Y. S. (2008). STATE AND PARAMETER ESTIMATION USING POLARIMETRIC RADAR DATA AND AN ENSEMBLE KALMAN FILTER. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/320231

Chicago Manual of Style (16th Edition):

JUNG, YOUNG SUN. “STATE AND PARAMETER ESTIMATION USING POLARIMETRIC RADAR DATA AND AN ENSEMBLE KALMAN FILTER.” 2008. Doctoral Dissertation, University of Oklahoma. Accessed December 15, 2019. http://hdl.handle.net/11244/320231.

MLA Handbook (7th Edition):

JUNG, YOUNG SUN. “STATE AND PARAMETER ESTIMATION USING POLARIMETRIC RADAR DATA AND AN ENSEMBLE KALMAN FILTER.” 2008. Web. 15 Dec 2019.

Vancouver:

JUNG YS. STATE AND PARAMETER ESTIMATION USING POLARIMETRIC RADAR DATA AND AN ENSEMBLE KALMAN FILTER. [Internet] [Doctoral dissertation]. University of Oklahoma; 2008. [cited 2019 Dec 15]. Available from: http://hdl.handle.net/11244/320231.

Council of Science Editors:

JUNG YS. STATE AND PARAMETER ESTIMATION USING POLARIMETRIC RADAR DATA AND AN ENSEMBLE KALMAN FILTER. [Doctoral Dissertation]. University of Oklahoma; 2008. Available from: http://hdl.handle.net/11244/320231


University of Oklahoma

24. Dawson, Daniel Thomas. THE IMPACT OF SINGLE- AND MULTI-MOMENT MICROPHYSICS ON NUMERICAL SIMULATIONS OF SUPERCELLS AND TORNADOES OF THE 3 MAY 1999 OKLAHOMA TORNADO OUTBREAK.

Degree: PhD, 2009, University of Oklahoma

 Real-data simulations of this event down to 100 m horizontal resolution are performed, with an emphasis on the prediction of the Moore, Oklahoma F5 tornado… (more)

Subjects/Keywords: Tornadoes – Oklahoma; Microphysics; Precipitation (Meteorology) – Oklahoma; Precipitation forecasting – Oklahoma; Tornadoes – Forecasting – Oklahoma

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APA (6th Edition):

Dawson, D. T. (2009). THE IMPACT OF SINGLE- AND MULTI-MOMENT MICROPHYSICS ON NUMERICAL SIMULATIONS OF SUPERCELLS AND TORNADOES OF THE 3 MAY 1999 OKLAHOMA TORNADO OUTBREAK. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/319072

Chicago Manual of Style (16th Edition):

Dawson, Daniel Thomas. “THE IMPACT OF SINGLE- AND MULTI-MOMENT MICROPHYSICS ON NUMERICAL SIMULATIONS OF SUPERCELLS AND TORNADOES OF THE 3 MAY 1999 OKLAHOMA TORNADO OUTBREAK.” 2009. Doctoral Dissertation, University of Oklahoma. Accessed December 15, 2019. http://hdl.handle.net/11244/319072.

MLA Handbook (7th Edition):

Dawson, Daniel Thomas. “THE IMPACT OF SINGLE- AND MULTI-MOMENT MICROPHYSICS ON NUMERICAL SIMULATIONS OF SUPERCELLS AND TORNADOES OF THE 3 MAY 1999 OKLAHOMA TORNADO OUTBREAK.” 2009. Web. 15 Dec 2019.

Vancouver:

Dawson DT. THE IMPACT OF SINGLE- AND MULTI-MOMENT MICROPHYSICS ON NUMERICAL SIMULATIONS OF SUPERCELLS AND TORNADOES OF THE 3 MAY 1999 OKLAHOMA TORNADO OUTBREAK. [Internet] [Doctoral dissertation]. University of Oklahoma; 2009. [cited 2019 Dec 15]. Available from: http://hdl.handle.net/11244/319072.

Council of Science Editors:

Dawson DT. THE IMPACT OF SINGLE- AND MULTI-MOMENT MICROPHYSICS ON NUMERICAL SIMULATIONS OF SUPERCELLS AND TORNADOES OF THE 3 MAY 1999 OKLAHOMA TORNADO OUTBREAK. [Doctoral Dissertation]. University of Oklahoma; 2009. Available from: http://hdl.handle.net/11244/319072

25. Ozturk, Serkan. Application of Compressive Sensing to Weather Radars.

Degree: PhD, 2016, University of Oklahoma

 The capability and importance of weather radar are proven for hazardous weathers detection, monitoring, and prediction in both research and operations. Continuous efforts have been… (more)

Subjects/Keywords: Compressive sensing, Refractivity retrieval, Phased array radars, Imaging radars, Inverse problems; Reflectivity and Velocity reconstruction

…Research Center (ARRC) of the University of Oklahoma, on 15 April 2012. xix Chapter… …Research Center (ARRC) at the University of Oklahoma allows an update time of… 

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APA (6th Edition):

Ozturk, S. (2016). Application of Compressive Sensing to Weather Radars. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/45393

Chicago Manual of Style (16th Edition):

Ozturk, Serkan. “Application of Compressive Sensing to Weather Radars.” 2016. Doctoral Dissertation, University of Oklahoma. Accessed December 15, 2019. http://hdl.handle.net/11244/45393.

MLA Handbook (7th Edition):

Ozturk, Serkan. “Application of Compressive Sensing to Weather Radars.” 2016. Web. 15 Dec 2019.

Vancouver:

Ozturk S. Application of Compressive Sensing to Weather Radars. [Internet] [Doctoral dissertation]. University of Oklahoma; 2016. [cited 2019 Dec 15]. Available from: http://hdl.handle.net/11244/45393.

Council of Science Editors:

Ozturk S. Application of Compressive Sensing to Weather Radars. [Doctoral Dissertation]. University of Oklahoma; 2016. Available from: http://hdl.handle.net/11244/45393

26. Tong, Chong-Chi. Limitations and Potential of Complex Cloud Analysis and Its Improvement for Radar Reflectivity Data Assimilation Using OSSEs.

Degree: PhD, 2015, University of Oklahoma

 The radar data assimilation is very important for improving short-range precipitation forecasts. Within the three dimensional variational (3DVAR) framework which is still the prevailing method… (more)

Subjects/Keywords: Atmospheric Sciences.; Meteorology

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APA (6th Edition):

Tong, C. (2015). Limitations and Potential of Complex Cloud Analysis and Its Improvement for Radar Reflectivity Data Assimilation Using OSSEs. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/25756

Chicago Manual of Style (16th Edition):

Tong, Chong-Chi. “Limitations and Potential of Complex Cloud Analysis and Its Improvement for Radar Reflectivity Data Assimilation Using OSSEs.” 2015. Doctoral Dissertation, University of Oklahoma. Accessed December 15, 2019. http://hdl.handle.net/11244/25756.

MLA Handbook (7th Edition):

Tong, Chong-Chi. “Limitations and Potential of Complex Cloud Analysis and Its Improvement for Radar Reflectivity Data Assimilation Using OSSEs.” 2015. Web. 15 Dec 2019.

Vancouver:

Tong C. Limitations and Potential of Complex Cloud Analysis and Its Improvement for Radar Reflectivity Data Assimilation Using OSSEs. [Internet] [Doctoral dissertation]. University of Oklahoma; 2015. [cited 2019 Dec 15]. Available from: http://hdl.handle.net/11244/25756.

Council of Science Editors:

Tong C. Limitations and Potential of Complex Cloud Analysis and Its Improvement for Radar Reflectivity Data Assimilation Using OSSEs. [Doctoral Dissertation]. University of Oklahoma; 2015. Available from: http://hdl.handle.net/11244/25756

27. Gagne, David John II. Coupling Data Science Techniques and Numerical Weather Prediction Models for High-Impact Weather Prediction.

Degree: PhD, 2016, University of Oklahoma

 Meteorologists have access to more model guidance and observations than ever before, but this additional information does not necessarily lead to better forecasts. New tools… (more)

Subjects/Keywords: Atmospheric Sciences.; Artificial Intelligence.; Meteorology; Machine Learning

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APA (6th Edition):

Gagne, D. J. I. (2016). Coupling Data Science Techniques and Numerical Weather Prediction Models for High-Impact Weather Prediction. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/44917

Chicago Manual of Style (16th Edition):

Gagne, David John II. “Coupling Data Science Techniques and Numerical Weather Prediction Models for High-Impact Weather Prediction.” 2016. Doctoral Dissertation, University of Oklahoma. Accessed December 15, 2019. http://hdl.handle.net/11244/44917.

MLA Handbook (7th Edition):

Gagne, David John II. “Coupling Data Science Techniques and Numerical Weather Prediction Models for High-Impact Weather Prediction.” 2016. Web. 15 Dec 2019.

Vancouver:

Gagne DJI. Coupling Data Science Techniques and Numerical Weather Prediction Models for High-Impact Weather Prediction. [Internet] [Doctoral dissertation]. University of Oklahoma; 2016. [cited 2019 Dec 15]. Available from: http://hdl.handle.net/11244/44917.

Council of Science Editors:

Gagne DJI. Coupling Data Science Techniques and Numerical Weather Prediction Models for High-Impact Weather Prediction. [Doctoral Dissertation]. University of Oklahoma; 2016. Available from: http://hdl.handle.net/11244/44917


University of Oklahoma

28. Wang, Yunheng. Analysis of energy conserving low-order models.

Degree: PhD, School of Computer Science, 2007, University of Oklahoma

Motivated by the importance and the central role played by the Volterra gyrostat in studying LOMs, this study also analyze the stability properties of the classical Volterra gyrostat and all of its special cases. Advisors/Committee Members: Lakshmivarahan, S., (advisor), Xue, Ming, (advisor).

Subjects/Keywords: Energy conservation Mathematical models.; Computer Science.; Galerkin methods.; Atmospheric Sciences.; Fluid dynamics Mathematical models.; Mathematics.

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APA (6th Edition):

Wang, Y. (2007). Analysis of energy conserving low-order models. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/1304

Chicago Manual of Style (16th Edition):

Wang, Yunheng. “Analysis of energy conserving low-order models.” 2007. Doctoral Dissertation, University of Oklahoma. Accessed December 15, 2019. http://hdl.handle.net/11244/1304.

MLA Handbook (7th Edition):

Wang, Yunheng. “Analysis of energy conserving low-order models.” 2007. Web. 15 Dec 2019.

Vancouver:

Wang Y. Analysis of energy conserving low-order models. [Internet] [Doctoral dissertation]. University of Oklahoma; 2007. [cited 2019 Dec 15]. Available from: http://hdl.handle.net/11244/1304.

Council of Science Editors:

Wang Y. Analysis of energy conserving low-order models. [Doctoral Dissertation]. University of Oklahoma; 2007. Available from: http://hdl.handle.net/11244/1304

.