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You searched for +publisher:"University of Oklahoma" +contributor:("Morrissey, Mark"). Showing records 1 – 5 of 5 total matches.

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University of Oklahoma

1. Rosendahl, Derek. QUANTIFYING UNCERTAINTIES IN GLOBAL AND NORTH AMERICAN REGIONAL CLIMATE CHANGE PROJECTIONS USING A MULTI-THOUSAND MEMBER GLOBAL CLIMATE MODEL PERTURBED PHYSICS ENSEMBLE.

Degree: PhD, 2013, University of Oklahoma

 Information on the uncertainties in projections of future climate change from global climate models (GCMs) is vital for their effective use across a wide range… (more)

Subjects/Keywords: Atmospheric Sciences.

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

APA (6th Edition):

Rosendahl, D. (2013). QUANTIFYING UNCERTAINTIES IN GLOBAL AND NORTH AMERICAN REGIONAL CLIMATE CHANGE PROJECTIONS USING A MULTI-THOUSAND MEMBER GLOBAL CLIMATE MODEL PERTURBED PHYSICS ENSEMBLE. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/7890

Chicago Manual of Style (16th Edition):

Rosendahl, Derek. “QUANTIFYING UNCERTAINTIES IN GLOBAL AND NORTH AMERICAN REGIONAL CLIMATE CHANGE PROJECTIONS USING A MULTI-THOUSAND MEMBER GLOBAL CLIMATE MODEL PERTURBED PHYSICS ENSEMBLE.” 2013. Doctoral Dissertation, University of Oklahoma. Accessed December 09, 2019. http://hdl.handle.net/11244/7890.

MLA Handbook (7th Edition):

Rosendahl, Derek. “QUANTIFYING UNCERTAINTIES IN GLOBAL AND NORTH AMERICAN REGIONAL CLIMATE CHANGE PROJECTIONS USING A MULTI-THOUSAND MEMBER GLOBAL CLIMATE MODEL PERTURBED PHYSICS ENSEMBLE.” 2013. Web. 09 Dec 2019.

Vancouver:

Rosendahl D. QUANTIFYING UNCERTAINTIES IN GLOBAL AND NORTH AMERICAN REGIONAL CLIMATE CHANGE PROJECTIONS USING A MULTI-THOUSAND MEMBER GLOBAL CLIMATE MODEL PERTURBED PHYSICS ENSEMBLE. [Internet] [Doctoral dissertation]. University of Oklahoma; 2013. [cited 2019 Dec 09]. Available from: http://hdl.handle.net/11244/7890.

Council of Science Editors:

Rosendahl D. QUANTIFYING UNCERTAINTIES IN GLOBAL AND NORTH AMERICAN REGIONAL CLIMATE CHANGE PROJECTIONS USING A MULTI-THOUSAND MEMBER GLOBAL CLIMATE MODEL PERTURBED PHYSICS ENSEMBLE. [Doctoral Dissertation]. University of Oklahoma; 2013. Available from: http://hdl.handle.net/11244/7890


University of Oklahoma

2. Newman, Jennifer. Optimizing Lidar Scanning Strategies for Wind Energy Turbulence Measurements.

Degree: PhD, 2015, University of Oklahoma

 Turbulence has a significant effect on wind farm power production and turbine reliability. Since remote sensing devices, such as lidars, are commonly used in wind… (more)

Subjects/Keywords: wind energy; lidar; turbulence

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APA (6th Edition):

Newman, J. (2015). Optimizing Lidar Scanning Strategies for Wind Energy Turbulence Measurements. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/14629

Chicago Manual of Style (16th Edition):

Newman, Jennifer. “Optimizing Lidar Scanning Strategies for Wind Energy Turbulence Measurements.” 2015. Doctoral Dissertation, University of Oklahoma. Accessed December 09, 2019. http://hdl.handle.net/11244/14629.

MLA Handbook (7th Edition):

Newman, Jennifer. “Optimizing Lidar Scanning Strategies for Wind Energy Turbulence Measurements.” 2015. Web. 09 Dec 2019.

Vancouver:

Newman J. Optimizing Lidar Scanning Strategies for Wind Energy Turbulence Measurements. [Internet] [Doctoral dissertation]. University of Oklahoma; 2015. [cited 2019 Dec 09]. Available from: http://hdl.handle.net/11244/14629.

Council of Science Editors:

Newman J. Optimizing Lidar Scanning Strategies for Wind Energy Turbulence Measurements. [Doctoral Dissertation]. University of Oklahoma; 2015. Available from: http://hdl.handle.net/11244/14629


University of Oklahoma

3. Kingfield, Darrel. Impacts of Land Use and Land Cover on Remote Sensing Analyses of Thunderstorms and Their Attendant Hazards.

Degree: PhD, 2017, University of Oklahoma

 Due to their hazardous nature, most thunderstorm observations today come from remote sensing platforms such as radar, satellite, and lightning detection sensors. Advancements in these… (more)

Subjects/Keywords: Thunderstorms; Remote Sensing; Land Cover; Natural Hazards

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

APA (6th Edition):

Kingfield, D. (2017). Impacts of Land Use and Land Cover on Remote Sensing Analyses of Thunderstorms and Their Attendant Hazards. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/50741

Chicago Manual of Style (16th Edition):

Kingfield, Darrel. “Impacts of Land Use and Land Cover on Remote Sensing Analyses of Thunderstorms and Their Attendant Hazards.” 2017. Doctoral Dissertation, University of Oklahoma. Accessed December 09, 2019. http://hdl.handle.net/11244/50741.

MLA Handbook (7th Edition):

Kingfield, Darrel. “Impacts of Land Use and Land Cover on Remote Sensing Analyses of Thunderstorms and Their Attendant Hazards.” 2017. Web. 09 Dec 2019.

Vancouver:

Kingfield D. Impacts of Land Use and Land Cover on Remote Sensing Analyses of Thunderstorms and Their Attendant Hazards. [Internet] [Doctoral dissertation]. University of Oklahoma; 2017. [cited 2019 Dec 09]. Available from: http://hdl.handle.net/11244/50741.

Council of Science Editors:

Kingfield D. Impacts of Land Use and Land Cover on Remote Sensing Analyses of Thunderstorms and Their Attendant Hazards. [Doctoral Dissertation]. University of Oklahoma; 2017. Available from: http://hdl.handle.net/11244/50741

4. Clark III, Robert Allan. Machine Learning Predictions of Flash Floods.

Degree: PhD, 2016, University of Oklahoma

 This dissertation contains a literature review and three studies concerned with the development, assessment, and use of machine learning (ML) algorithms to explore automatically generated… (more)

Subjects/Keywords: flash flood; machine learning; numerical weather prediction; hydrometeorology

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APA (6th Edition):

Clark III, R. A. (2016). Machine Learning Predictions of Flash Floods. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/44890

Chicago Manual of Style (16th Edition):

Clark III, Robert Allan. “Machine Learning Predictions of Flash Floods.” 2016. Doctoral Dissertation, University of Oklahoma. Accessed December 09, 2019. http://hdl.handle.net/11244/44890.

MLA Handbook (7th Edition):

Clark III, Robert Allan. “Machine Learning Predictions of Flash Floods.” 2016. Web. 09 Dec 2019.

Vancouver:

Clark III RA. Machine Learning Predictions of Flash Floods. [Internet] [Doctoral dissertation]. University of Oklahoma; 2016. [cited 2019 Dec 09]. Available from: http://hdl.handle.net/11244/44890.

Council of Science Editors:

Clark III RA. Machine Learning Predictions of Flash Floods. [Doctoral Dissertation]. University of Oklahoma; 2016. Available from: http://hdl.handle.net/11244/44890


University of Oklahoma

5. Mahmood, Rezaul. Monsoonal rainfall variability, water stress, and rainfed rice productivity in Bangladesh.

Degree: PhD, Department of Geography and Environmental Sustainability, 1999, University of Oklahoma

 This project investigates intra-seasonal monsoonal rainfall variations and their impacts on the potential rainfed rice productivity in Bangladesh. A crop growth simulation model, the CERES-Rice,… (more)

Subjects/Keywords: Monsoons.; Geography.; Agriculture, General.; Rainfed lowland rice Bangladesh.

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

APA (6th Edition):

Mahmood, R. (1999). Monsoonal rainfall variability, water stress, and rainfed rice productivity in Bangladesh. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/5868

Chicago Manual of Style (16th Edition):

Mahmood, Rezaul. “Monsoonal rainfall variability, water stress, and rainfed rice productivity in Bangladesh.” 1999. Doctoral Dissertation, University of Oklahoma. Accessed December 09, 2019. http://hdl.handle.net/11244/5868.

MLA Handbook (7th Edition):

Mahmood, Rezaul. “Monsoonal rainfall variability, water stress, and rainfed rice productivity in Bangladesh.” 1999. Web. 09 Dec 2019.

Vancouver:

Mahmood R. Monsoonal rainfall variability, water stress, and rainfed rice productivity in Bangladesh. [Internet] [Doctoral dissertation]. University of Oklahoma; 1999. [cited 2019 Dec 09]. Available from: http://hdl.handle.net/11244/5868.

Council of Science Editors:

Mahmood R. Monsoonal rainfall variability, water stress, and rainfed rice productivity in Bangladesh. [Doctoral Dissertation]. University of Oklahoma; 1999. Available from: http://hdl.handle.net/11244/5868

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