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You searched for +publisher:"University of Oklahoma" +contributor:("Brewster, Keith"). Showing records 1 – 4 of 4 total matches.

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University of Oklahoma

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

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 April 22, 2021. 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. 22 Apr 2021.

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 2021 Apr 22]. 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

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

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 April 22, 2021. 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. 22 Apr 2021.

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 2021 Apr 22]. 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

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

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 April 22, 2021. 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. 22 Apr 2021.

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 2021 Apr 22]. 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

4. Kong, Rong. HYBRID EN3DVAR RADAR DATA ASSIMILATION AND COMPARISONS WITH 3DVAR AND ENKF WITH OSSES AND A REAL CASE.

Degree: PhD, 2017, University of Oklahoma

 Studies have shown advantages of the hybrid ensemble-variational data assimilation (DA) algorithms over pure ensemble or variational algorithms, although such advantages at the convective scale,… (more)

Subjects/Keywords: meteorology; radar data assimilation

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

APA (6th Edition):

Kong, R. (2017). HYBRID EN3DVAR RADAR DATA ASSIMILATION AND COMPARISONS WITH 3DVAR AND ENKF WITH OSSES AND A REAL CASE. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/52910

Chicago Manual of Style (16th Edition):

Kong, Rong. “HYBRID EN3DVAR RADAR DATA ASSIMILATION AND COMPARISONS WITH 3DVAR AND ENKF WITH OSSES AND A REAL CASE.” 2017. Doctoral Dissertation, University of Oklahoma. Accessed April 22, 2021. http://hdl.handle.net/11244/52910.

MLA Handbook (7th Edition):

Kong, Rong. “HYBRID EN3DVAR RADAR DATA ASSIMILATION AND COMPARISONS WITH 3DVAR AND ENKF WITH OSSES AND A REAL CASE.” 2017. Web. 22 Apr 2021.

Vancouver:

Kong R. HYBRID EN3DVAR RADAR DATA ASSIMILATION AND COMPARISONS WITH 3DVAR AND ENKF WITH OSSES AND A REAL CASE. [Internet] [Doctoral dissertation]. University of Oklahoma; 2017. [cited 2021 Apr 22]. Available from: http://hdl.handle.net/11244/52910.

Council of Science Editors:

Kong R. HYBRID EN3DVAR RADAR DATA ASSIMILATION AND COMPARISONS WITH 3DVAR AND ENKF WITH OSSES AND A REAL CASE. [Doctoral Dissertation]. University of Oklahoma; 2017. Available from: http://hdl.handle.net/11244/52910

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