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You searched for +publisher:"University of Oklahoma" +contributor:("Wang, Xuguang"). Showing records 1 – 19 of 19 total matches.

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University of Oklahoma

1. 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 November 27, 2020. 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. 27 Nov 2020.

Vancouver:

Duda J. OPTIMAL DESIGN OF A CONVECTION-ALLOWING ENSEMBLE FROM A MODEL ERROR PERSPECTIVE. [Internet] [Doctoral dissertation]. University of Oklahoma; 2016. [cited 2020 Nov 27]. 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

2. Riedel, Christopher. Tropospheric Polar Vortices and Impacts on Atmospheric Flow from the Arctic to the Mid-Latitudes using a New Global Modeling System.

Degree: PhD, 2020, University of Oklahoma

 The observed rapid changes in the Arctic are important to quantify not only for understanding the region, but also for understanding how processes between the… (more)

Subjects/Keywords: Data Assimilation; Arctic; Predictability; Numerical Weather Prediction

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APA (6th Edition):

Riedel, C. (2020). Tropospheric Polar Vortices and Impacts on Atmospheric Flow from the Arctic to the Mid-Latitudes using a New Global Modeling System. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/324334

Chicago Manual of Style (16th Edition):

Riedel, Christopher. “Tropospheric Polar Vortices and Impacts on Atmospheric Flow from the Arctic to the Mid-Latitudes using a New Global Modeling System.” 2020. Doctoral Dissertation, University of Oklahoma. Accessed November 27, 2020. http://hdl.handle.net/11244/324334.

MLA Handbook (7th Edition):

Riedel, Christopher. “Tropospheric Polar Vortices and Impacts on Atmospheric Flow from the Arctic to the Mid-Latitudes using a New Global Modeling System.” 2020. Web. 27 Nov 2020.

Vancouver:

Riedel C. Tropospheric Polar Vortices and Impacts on Atmospheric Flow from the Arctic to the Mid-Latitudes using a New Global Modeling System. [Internet] [Doctoral dissertation]. University of Oklahoma; 2020. [cited 2020 Nov 27]. Available from: http://hdl.handle.net/11244/324334.

Council of Science Editors:

Riedel C. Tropospheric Polar Vortices and Impacts on Atmospheric Flow from the Arctic to the Mid-Latitudes using a New Global Modeling System. [Doctoral Dissertation]. University of Oklahoma; 2020. Available from: http://hdl.handle.net/11244/324334


University of Oklahoma

3. Huang, Bo. Reducing sampling errors of the background error covariance estimate in ensemble-based data assimilation.

Degree: PhD, 2020, University of Oklahoma

 Ensemble-based data assimilation (DA) estimates forecast error in a flow-dependent fashion, in contrast to the traditional variational DA assuming static forecast error. Due to computational… (more)

Subjects/Keywords: 4DEnVar; Ensemble Kalman filter; Data assimilation; Sampling errors

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APA (6th Edition):

Huang, B. (2020). Reducing sampling errors of the background error covariance estimate in ensemble-based data assimilation. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/324377

Chicago Manual of Style (16th Edition):

Huang, Bo. “Reducing sampling errors of the background error covariance estimate in ensemble-based data assimilation.” 2020. Doctoral Dissertation, University of Oklahoma. Accessed November 27, 2020. http://hdl.handle.net/11244/324377.

MLA Handbook (7th Edition):

Huang, Bo. “Reducing sampling errors of the background error covariance estimate in ensemble-based data assimilation.” 2020. Web. 27 Nov 2020.

Vancouver:

Huang B. Reducing sampling errors of the background error covariance estimate in ensemble-based data assimilation. [Internet] [Doctoral dissertation]. University of Oklahoma; 2020. [cited 2020 Nov 27]. Available from: http://hdl.handle.net/11244/324377.

Council of Science Editors:

Huang B. Reducing sampling errors of the background error covariance estimate in ensemble-based data assimilation. [Doctoral Dissertation]. University of Oklahoma; 2020. Available from: http://hdl.handle.net/11244/324377


University of Oklahoma

4. Carlin, Jacob. The Use of Polarimetric Radar Data for Informing Numerical Weather Prediction Models.

Degree: PhD, 2018, University of Oklahoma

 The explicit prediction of convective storms using storm-scale models has recently become a reality. Radar data is a crucial source of information about the microphysical… (more)

Subjects/Keywords: Atmospheric Sciences.; Radar; Data assimilation

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APA (6th Edition):

Carlin, J. (2018). The Use of Polarimetric Radar Data for Informing Numerical Weather Prediction Models. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/299801

Chicago Manual of Style (16th Edition):

Carlin, Jacob. “The Use of Polarimetric Radar Data for Informing Numerical Weather Prediction Models.” 2018. Doctoral Dissertation, University of Oklahoma. Accessed November 27, 2020. http://hdl.handle.net/11244/299801.

MLA Handbook (7th Edition):

Carlin, Jacob. “The Use of Polarimetric Radar Data for Informing Numerical Weather Prediction Models.” 2018. Web. 27 Nov 2020.

Vancouver:

Carlin J. The Use of Polarimetric Radar Data for Informing Numerical Weather Prediction Models. [Internet] [Doctoral dissertation]. University of Oklahoma; 2018. [cited 2020 Nov 27]. Available from: http://hdl.handle.net/11244/299801.

Council of Science Editors:

Carlin J. The Use of Polarimetric Radar Data for Informing Numerical Weather Prediction Models. [Doctoral Dissertation]. University of Oklahoma; 2018. Available from: http://hdl.handle.net/11244/299801


University of Oklahoma

5. Nai, Feng. On the Potential of Adaptive Beamforming for Phased-Array Weather Radar.

Degree: PhD, 2017, University of Oklahoma

 As the Weather Surveillance Radar 1988 Doppler network reaches the end of its expected life, a network of multifunction phased-array radars (MPAR) supporting both aircraft… (more)

Subjects/Keywords: Adaptive Beamforming; Phased-Array Radar; Weather Radar; Beamspace

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APA (6th Edition):

Nai, F. (2017). On the Potential of Adaptive Beamforming for Phased-Array Weather Radar. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/48164

Chicago Manual of Style (16th Edition):

Nai, Feng. “On the Potential of Adaptive Beamforming for Phased-Array Weather Radar.” 2017. Doctoral Dissertation, University of Oklahoma. Accessed November 27, 2020. http://hdl.handle.net/11244/48164.

MLA Handbook (7th Edition):

Nai, Feng. “On the Potential of Adaptive Beamforming for Phased-Array Weather Radar.” 2017. Web. 27 Nov 2020.

Vancouver:

Nai F. On the Potential of Adaptive Beamforming for Phased-Array Weather Radar. [Internet] [Doctoral dissertation]. University of Oklahoma; 2017. [cited 2020 Nov 27]. Available from: http://hdl.handle.net/11244/48164.

Council of Science Editors:

Nai F. On the Potential of Adaptive Beamforming for Phased-Array Weather Radar. [Doctoral Dissertation]. University of Oklahoma; 2017. Available from: http://hdl.handle.net/11244/48164


University of Oklahoma

6. 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 November 27, 2020. 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. 27 Nov 2020.

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 2020 Nov 27]. 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

7. Gallo, Burkely. Deriving Operationally Relevant Tornado Probabilities from Convection-Allowing Ensembles.

Degree: PhD, 2017, University of Oklahoma

 Hourly maximum fields of simulated storm diagnostics from experimental versions of convection-allowing models (CAMs) provide valuable information regarding severe weather potential. The focus of this… (more)

Subjects/Keywords: Forecasting; Tornadoes; Convection-Allowing Ensembles; Numerical Weather Prediction

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APA (6th Edition):

Gallo, B. (2017). Deriving Operationally Relevant Tornado Probabilities from Convection-Allowing Ensembles. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/52733

Chicago Manual of Style (16th Edition):

Gallo, Burkely. “Deriving Operationally Relevant Tornado Probabilities from Convection-Allowing Ensembles.” 2017. Doctoral Dissertation, University of Oklahoma. Accessed November 27, 2020. http://hdl.handle.net/11244/52733.

MLA Handbook (7th Edition):

Gallo, Burkely. “Deriving Operationally Relevant Tornado Probabilities from Convection-Allowing Ensembles.” 2017. Web. 27 Nov 2020.

Vancouver:

Gallo B. Deriving Operationally Relevant Tornado Probabilities from Convection-Allowing Ensembles. [Internet] [Doctoral dissertation]. University of Oklahoma; 2017. [cited 2020 Nov 27]. Available from: http://hdl.handle.net/11244/52733.

Council of Science Editors:

Gallo B. Deriving Operationally Relevant Tornado Probabilities from Convection-Allowing Ensembles. [Doctoral Dissertation]. University of Oklahoma; 2017. Available from: http://hdl.handle.net/11244/52733


University of Oklahoma

8. 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 November 27, 2020. 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. 27 Nov 2020.

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 2020 Nov 27]. 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

9. 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 November 27, 2020. 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. 27 Nov 2020.

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 2020 Nov 27]. 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

10. Zhang, Yu. DEVELOPMENT AND EVALUATION OF AN ADVANCED REGIONAL AND GLOBAL HYDROLOGICAL PREDICTION SYSTEM ENABLED BY SATELLITE REMOTE SENSING, NUMERICAL WEATHER FORECASTING, AND ENSEMBLE DATA ASSIMILATION.

Degree: PhD, 2013, University of Oklahoma

 This dissertation advanced the traditional hydrological prediction via multi-sensor satellite remote sensing products, numerical weather forecasts and advanced data assimilation approach in sparsely gauged or… (more)

Subjects/Keywords: Engineering; Civil.

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APA (6th Edition):

Zhang, Y. (2013). DEVELOPMENT AND EVALUATION OF AN ADVANCED REGIONAL AND GLOBAL HYDROLOGICAL PREDICTION SYSTEM ENABLED BY SATELLITE REMOTE SENSING, NUMERICAL WEATHER FORECASTING, AND ENSEMBLE DATA ASSIMILATION. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/7900

Chicago Manual of Style (16th Edition):

Zhang, Yu. “DEVELOPMENT AND EVALUATION OF AN ADVANCED REGIONAL AND GLOBAL HYDROLOGICAL PREDICTION SYSTEM ENABLED BY SATELLITE REMOTE SENSING, NUMERICAL WEATHER FORECASTING, AND ENSEMBLE DATA ASSIMILATION.” 2013. Doctoral Dissertation, University of Oklahoma. Accessed November 27, 2020. http://hdl.handle.net/11244/7900.

MLA Handbook (7th Edition):

Zhang, Yu. “DEVELOPMENT AND EVALUATION OF AN ADVANCED REGIONAL AND GLOBAL HYDROLOGICAL PREDICTION SYSTEM ENABLED BY SATELLITE REMOTE SENSING, NUMERICAL WEATHER FORECASTING, AND ENSEMBLE DATA ASSIMILATION.” 2013. Web. 27 Nov 2020.

Vancouver:

Zhang Y. DEVELOPMENT AND EVALUATION OF AN ADVANCED REGIONAL AND GLOBAL HYDROLOGICAL PREDICTION SYSTEM ENABLED BY SATELLITE REMOTE SENSING, NUMERICAL WEATHER FORECASTING, AND ENSEMBLE DATA ASSIMILATION. [Internet] [Doctoral dissertation]. University of Oklahoma; 2013. [cited 2020 Nov 27]. Available from: http://hdl.handle.net/11244/7900.

Council of Science Editors:

Zhang Y. DEVELOPMENT AND EVALUATION OF AN ADVANCED REGIONAL AND GLOBAL HYDROLOGICAL PREDICTION SYSTEM ENABLED BY SATELLITE REMOTE SENSING, NUMERICAL WEATHER FORECASTING, AND ENSEMBLE DATA ASSIMILATION. [Doctoral Dissertation]. University of Oklahoma; 2013. Available from: http://hdl.handle.net/11244/7900


University of Oklahoma

11. Betten, Daniel. A LAGRANGIAN PERSPECTIVE OF MESOCYCLONES AND DOWNDRAFTS IN OBSERVED AND NUMERICALLY SIMULATED SUPERCELLS.

Degree: PhD, 2018, University of Oklahoma

 On 29 May 2004, a high-precipitation supercell thunderstorm developed in western Oklahoma and produced tornadoes during almost every distinct mesocyclone cycle over a six-hour period.… (more)

Subjects/Keywords: Supercell; Trajectories; Dynamics; Radar

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APA (6th Edition):

Betten, D. (2018). A LAGRANGIAN PERSPECTIVE OF MESOCYCLONES AND DOWNDRAFTS IN OBSERVED AND NUMERICALLY SIMULATED SUPERCELLS. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/299851

Chicago Manual of Style (16th Edition):

Betten, Daniel. “A LAGRANGIAN PERSPECTIVE OF MESOCYCLONES AND DOWNDRAFTS IN OBSERVED AND NUMERICALLY SIMULATED SUPERCELLS.” 2018. Doctoral Dissertation, University of Oklahoma. Accessed November 27, 2020. http://hdl.handle.net/11244/299851.

MLA Handbook (7th Edition):

Betten, Daniel. “A LAGRANGIAN PERSPECTIVE OF MESOCYCLONES AND DOWNDRAFTS IN OBSERVED AND NUMERICALLY SIMULATED SUPERCELLS.” 2018. Web. 27 Nov 2020.

Vancouver:

Betten D. A LAGRANGIAN PERSPECTIVE OF MESOCYCLONES AND DOWNDRAFTS IN OBSERVED AND NUMERICALLY SIMULATED SUPERCELLS. [Internet] [Doctoral dissertation]. University of Oklahoma; 2018. [cited 2020 Nov 27]. Available from: http://hdl.handle.net/11244/299851.

Council of Science Editors:

Betten D. A LAGRANGIAN PERSPECTIVE OF MESOCYCLONES AND DOWNDRAFTS IN OBSERVED AND NUMERICALLY SIMULATED SUPERCELLS. [Doctoral Dissertation]. University of Oklahoma; 2018. Available from: http://hdl.handle.net/11244/299851


University of Oklahoma

12. Gasperoni, Nicholas. Forecast Sensitivity to Observations using Data Denial and Ensemble-based Methods over the Dallas-Fort Worth Testbed.

Degree: PhD, 2018, University of Oklahoma

 The ‘Nationwide Network of Networks’ (NNoN) concept was introduced by the National Research Council to address the growing need for a national mesoscale observing system.… (more)

Subjects/Keywords: forecast sensitivity to observations; convective-scale data assimilation; ensemble forecasting; Atmospheric Sciences

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APA (6th Edition):

Gasperoni, N. (2018). Forecast Sensitivity to Observations using Data Denial and Ensemble-based Methods over the Dallas-Fort Worth Testbed. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/54641

Chicago Manual of Style (16th Edition):

Gasperoni, Nicholas. “Forecast Sensitivity to Observations using Data Denial and Ensemble-based Methods over the Dallas-Fort Worth Testbed.” 2018. Doctoral Dissertation, University of Oklahoma. Accessed November 27, 2020. http://hdl.handle.net/11244/54641.

MLA Handbook (7th Edition):

Gasperoni, Nicholas. “Forecast Sensitivity to Observations using Data Denial and Ensemble-based Methods over the Dallas-Fort Worth Testbed.” 2018. Web. 27 Nov 2020.

Vancouver:

Gasperoni N. Forecast Sensitivity to Observations using Data Denial and Ensemble-based Methods over the Dallas-Fort Worth Testbed. [Internet] [Doctoral dissertation]. University of Oklahoma; 2018. [cited 2020 Nov 27]. Available from: http://hdl.handle.net/11244/54641.

Council of Science Editors:

Gasperoni N. Forecast Sensitivity to Observations using Data Denial and Ensemble-based Methods over the Dallas-Fort Worth Testbed. [Doctoral Dissertation]. University of Oklahoma; 2018. Available from: http://hdl.handle.net/11244/54641


University of Oklahoma

13. 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 November 27, 2020. 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. 27 Nov 2020.

Vancouver:

Zhao G. DEVELOPMENT OF ARPS LETKF WITH FOUR DIMENSIONAL EXTENSION AND INTERCOMPARISON WITH ARPS ENSRF. [Internet] [Doctoral dissertation]. University of Oklahoma; 2013. [cited 2020 Nov 27]. 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

14. Flournoy, Matthew. Examining Environmental Conditions, Storm-scale Characteristics, and Tornado Potential in Observed and Simulated Supercell Thunderstorms.

Degree: PhD, 2020, University of Oklahoma

 Despite advancements in our understanding of supercell thunderstorms, numerous questions remain regarding relationships between their environment, storm-scale characteristics, and tornado potential. In particular, quantifying the… (more)

Subjects/Keywords: Meteorology; Atmospheric Sciences; Tornadoes; Supercells

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APA (6th Edition):

Flournoy, M. (2020). Examining Environmental Conditions, Storm-scale Characteristics, and Tornado Potential in Observed and Simulated Supercell Thunderstorms. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/325303

Chicago Manual of Style (16th Edition):

Flournoy, Matthew. “Examining Environmental Conditions, Storm-scale Characteristics, and Tornado Potential in Observed and Simulated Supercell Thunderstorms.” 2020. Doctoral Dissertation, University of Oklahoma. Accessed November 27, 2020. http://hdl.handle.net/11244/325303.

MLA Handbook (7th Edition):

Flournoy, Matthew. “Examining Environmental Conditions, Storm-scale Characteristics, and Tornado Potential in Observed and Simulated Supercell Thunderstorms.” 2020. Web. 27 Nov 2020.

Vancouver:

Flournoy M. Examining Environmental Conditions, Storm-scale Characteristics, and Tornado Potential in Observed and Simulated Supercell Thunderstorms. [Internet] [Doctoral dissertation]. University of Oklahoma; 2020. [cited 2020 Nov 27]. Available from: http://hdl.handle.net/11244/325303.

Council of Science Editors:

Flournoy M. Examining Environmental Conditions, Storm-scale Characteristics, and Tornado Potential in Observed and Simulated Supercell Thunderstorms. [Doctoral Dissertation]. University of Oklahoma; 2020. Available from: http://hdl.handle.net/11244/325303


University of Oklahoma

15. shi, zheng. RESPONSES OF COMMUNITY STRUCTURE AND ECOSYSTEM FUNCTIONING TO CLIMATE CHANGE – META-ANALYSIS, MODELING, EXPERIMENTAL STUDY AND DATA-MODEL FUSION.

Degree: PhD, 2015, University of Oklahoma

 Observations, experimental studies and modeling endeavors all show that global climate change, mainly increased surface air temperature and associated change in precipitation regime, has caused… (more)

Subjects/Keywords: global climate change; ecology; carbon cycle; grassland

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APA (6th Edition):

shi, z. (2015). RESPONSES OF COMMUNITY STRUCTURE AND ECOSYSTEM FUNCTIONING TO CLIMATE CHANGE – META-ANALYSIS, MODELING, EXPERIMENTAL STUDY AND DATA-MODEL FUSION. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/14556

Chicago Manual of Style (16th Edition):

shi, zheng. “RESPONSES OF COMMUNITY STRUCTURE AND ECOSYSTEM FUNCTIONING TO CLIMATE CHANGE – META-ANALYSIS, MODELING, EXPERIMENTAL STUDY AND DATA-MODEL FUSION.” 2015. Doctoral Dissertation, University of Oklahoma. Accessed November 27, 2020. http://hdl.handle.net/11244/14556.

MLA Handbook (7th Edition):

shi, zheng. “RESPONSES OF COMMUNITY STRUCTURE AND ECOSYSTEM FUNCTIONING TO CLIMATE CHANGE – META-ANALYSIS, MODELING, EXPERIMENTAL STUDY AND DATA-MODEL FUSION.” 2015. Web. 27 Nov 2020.

Vancouver:

shi z. RESPONSES OF COMMUNITY STRUCTURE AND ECOSYSTEM FUNCTIONING TO CLIMATE CHANGE – META-ANALYSIS, MODELING, EXPERIMENTAL STUDY AND DATA-MODEL FUSION. [Internet] [Doctoral dissertation]. University of Oklahoma; 2015. [cited 2020 Nov 27]. Available from: http://hdl.handle.net/11244/14556.

Council of Science Editors:

shi z. RESPONSES OF COMMUNITY STRUCTURE AND ECOSYSTEM FUNCTIONING TO CLIMATE CHANGE – META-ANALYSIS, MODELING, EXPERIMENTAL STUDY AND DATA-MODEL FUSION. [Doctoral Dissertation]. University of Oklahoma; 2015. Available from: http://hdl.handle.net/11244/14556


University of Oklahoma

16. Kerr, Christopher. Analysis of environmental modifications by deep convection during the Mesoscale Predictability Experiment.

Degree: PhD, 2017, University of Oklahoma

 The Mesoscale Predictability Experiment (MPEX) conducted during the spring of 2013 included frequent coordinated sampling of near-storm environments via upsondes. These unique observations were taken… (more)

Subjects/Keywords: Severe convection; Data assimilation; Numerical weather prediction

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APA (6th Edition):

Kerr, C. (2017). Analysis of environmental modifications by deep convection during the Mesoscale Predictability Experiment. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/50449

Chicago Manual of Style (16th Edition):

Kerr, Christopher. “Analysis of environmental modifications by deep convection during the Mesoscale Predictability Experiment.” 2017. Doctoral Dissertation, University of Oklahoma. Accessed November 27, 2020. http://hdl.handle.net/11244/50449.

MLA Handbook (7th Edition):

Kerr, Christopher. “Analysis of environmental modifications by deep convection during the Mesoscale Predictability Experiment.” 2017. Web. 27 Nov 2020.

Vancouver:

Kerr C. Analysis of environmental modifications by deep convection during the Mesoscale Predictability Experiment. [Internet] [Doctoral dissertation]. University of Oklahoma; 2017. [cited 2020 Nov 27]. Available from: http://hdl.handle.net/11244/50449.

Council of Science Editors:

Kerr C. Analysis of environmental modifications by deep convection during the Mesoscale Predictability Experiment. [Doctoral Dissertation]. University of Oklahoma; 2017. Available from: http://hdl.handle.net/11244/50449

17. Lu, Xu. Improving High-Resolution Tropical Cyclone Prediction using a Cycled, GSI-Based Hybrid Ensemble-Variational Data Assimilation System for HWRF with Vortex Scale Observations.

Degree: PhD, 2019, University of Oklahoma

 A Gridpoint Statistical Interpolation analysis system (GSI)-based, continuously cycled, dual-resolution hybrid ensemble-variational (EnVar) data assimilation (DA) system is developed for the Hurricane Weather Research and… (more)

Subjects/Keywords: Data Assimilation; Hurricane; Vortex Scale Observations

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APA (6th Edition):

Lu, X. (2019). Improving High-Resolution Tropical Cyclone Prediction using a Cycled, GSI-Based Hybrid Ensemble-Variational Data Assimilation System for HWRF with Vortex Scale Observations. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/322825

Chicago Manual of Style (16th Edition):

Lu, Xu. “Improving High-Resolution Tropical Cyclone Prediction using a Cycled, GSI-Based Hybrid Ensemble-Variational Data Assimilation System for HWRF with Vortex Scale Observations.” 2019. Doctoral Dissertation, University of Oklahoma. Accessed November 27, 2020. http://hdl.handle.net/11244/322825.

MLA Handbook (7th Edition):

Lu, Xu. “Improving High-Resolution Tropical Cyclone Prediction using a Cycled, GSI-Based Hybrid Ensemble-Variational Data Assimilation System for HWRF with Vortex Scale Observations.” 2019. Web. 27 Nov 2020.

Vancouver:

Lu X. Improving High-Resolution Tropical Cyclone Prediction using a Cycled, GSI-Based Hybrid Ensemble-Variational Data Assimilation System for HWRF with Vortex Scale Observations. [Internet] [Doctoral dissertation]. University of Oklahoma; 2019. [cited 2020 Nov 27]. Available from: http://hdl.handle.net/11244/322825.

Council of Science Editors:

Lu X. Improving High-Resolution Tropical Cyclone Prediction using a Cycled, GSI-Based Hybrid Ensemble-Variational Data Assimilation System for HWRF with Vortex Scale Observations. [Doctoral Dissertation]. University of Oklahoma; 2019. Available from: http://hdl.handle.net/11244/322825

18. Vergara, Humberto. CHARACTERIZING UNCERTAINTY OF A HYDROLOGIC MODELING SYSTEM FOR OPERATIONAL FLOOD FORECASTING OVER THE CONTERMINOUS UNITED STATES.

Degree: PhD, 2015, University of Oklahoma

 The purpose of this work was to study the macro scale patterns of simulated streamflow errors in order to characterize uncertainty in a hydrologic modeling… (more)

Subjects/Keywords: Hydrology; Water Resources; Flood Forecasting; Uncertainty Modeling

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

APA (6th Edition):

Vergara, H. (2015). CHARACTERIZING UNCERTAINTY OF A HYDROLOGIC MODELING SYSTEM FOR OPERATIONAL FLOOD FORECASTING OVER THE CONTERMINOUS UNITED STATES. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/15505

Chicago Manual of Style (16th Edition):

Vergara, Humberto. “CHARACTERIZING UNCERTAINTY OF A HYDROLOGIC MODELING SYSTEM FOR OPERATIONAL FLOOD FORECASTING OVER THE CONTERMINOUS UNITED STATES.” 2015. Doctoral Dissertation, University of Oklahoma. Accessed November 27, 2020. http://hdl.handle.net/11244/15505.

MLA Handbook (7th Edition):

Vergara, Humberto. “CHARACTERIZING UNCERTAINTY OF A HYDROLOGIC MODELING SYSTEM FOR OPERATIONAL FLOOD FORECASTING OVER THE CONTERMINOUS UNITED STATES.” 2015. Web. 27 Nov 2020.

Vancouver:

Vergara H. CHARACTERIZING UNCERTAINTY OF A HYDROLOGIC MODELING SYSTEM FOR OPERATIONAL FLOOD FORECASTING OVER THE CONTERMINOUS UNITED STATES. [Internet] [Doctoral dissertation]. University of Oklahoma; 2015. [cited 2020 Nov 27]. Available from: http://hdl.handle.net/11244/15505.

Council of Science Editors:

Vergara H. CHARACTERIZING UNCERTAINTY OF A HYDROLOGIC MODELING SYSTEM FOR OPERATIONAL FLOOD FORECASTING OVER THE CONTERMINOUS UNITED STATES. [Doctoral Dissertation]. University of Oklahoma; 2015. Available from: http://hdl.handle.net/11244/15505

19. Thompson, Therese. ENSEMBLE KALMAN FILTER METHODS FOR CONVECTIVE-SCALE RADAR DATA ASSIMILATION AND MULTI-SCALE DATA ASSIMILATION OF THE 13 JUNE 2010 TORNADIC SUPERCELL ENVIRONMENT.

Degree: PhD, 2014, University of Oklahoma

 Ensemble data assimilation at convective-scales will need to solve a number of scientific and technical issues prior to being usable for operational numerical weather prediction.… (more)

Subjects/Keywords: Atmospheric Sciences.

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

APA (6th Edition):

Thompson, T. (2014). ENSEMBLE KALMAN FILTER METHODS FOR CONVECTIVE-SCALE RADAR DATA ASSIMILATION AND MULTI-SCALE DATA ASSIMILATION OF THE 13 JUNE 2010 TORNADIC SUPERCELL ENVIRONMENT. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/10501

Chicago Manual of Style (16th Edition):

Thompson, Therese. “ENSEMBLE KALMAN FILTER METHODS FOR CONVECTIVE-SCALE RADAR DATA ASSIMILATION AND MULTI-SCALE DATA ASSIMILATION OF THE 13 JUNE 2010 TORNADIC SUPERCELL ENVIRONMENT.” 2014. Doctoral Dissertation, University of Oklahoma. Accessed November 27, 2020. http://hdl.handle.net/11244/10501.

MLA Handbook (7th Edition):

Thompson, Therese. “ENSEMBLE KALMAN FILTER METHODS FOR CONVECTIVE-SCALE RADAR DATA ASSIMILATION AND MULTI-SCALE DATA ASSIMILATION OF THE 13 JUNE 2010 TORNADIC SUPERCELL ENVIRONMENT.” 2014. Web. 27 Nov 2020.

Vancouver:

Thompson T. ENSEMBLE KALMAN FILTER METHODS FOR CONVECTIVE-SCALE RADAR DATA ASSIMILATION AND MULTI-SCALE DATA ASSIMILATION OF THE 13 JUNE 2010 TORNADIC SUPERCELL ENVIRONMENT. [Internet] [Doctoral dissertation]. University of Oklahoma; 2014. [cited 2020 Nov 27]. Available from: http://hdl.handle.net/11244/10501.

Council of Science Editors:

Thompson T. ENSEMBLE KALMAN FILTER METHODS FOR CONVECTIVE-SCALE RADAR DATA ASSIMILATION AND MULTI-SCALE DATA ASSIMILATION OF THE 13 JUNE 2010 TORNADIC SUPERCELL ENVIRONMENT. [Doctoral Dissertation]. University of Oklahoma; 2014. Available from: http://hdl.handle.net/11244/10501

.