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You searched for subject:(Numerical weather forecasting). Showing records 1 – 30 of 94 total matches.

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University of Oklahoma

1. Marsh, Patrick T. A method for calibrating probabilistic forecasts.

Degree: PhD, 2013, University of Oklahoma

 This study concludes by applying this calibration method to the individual members of a 15 member high resolution ensemble forecast system. Results reveal that each… (more)

Subjects/Keywords: Numerical weather forecasting; Weather forecasting – Mathematical models

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APA (6th Edition):

Marsh, P. T. (2013). A method for calibrating probabilistic forecasts. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/318661

Chicago Manual of Style (16th Edition):

Marsh, Patrick T. “A method for calibrating probabilistic forecasts.” 2013. Doctoral Dissertation, University of Oklahoma. Accessed May 08, 2021. http://hdl.handle.net/11244/318661.

MLA Handbook (7th Edition):

Marsh, Patrick T. “A method for calibrating probabilistic forecasts.” 2013. Web. 08 May 2021.

Vancouver:

Marsh PT. A method for calibrating probabilistic forecasts. [Internet] [Doctoral dissertation]. University of Oklahoma; 2013. [cited 2021 May 08]. Available from: http://hdl.handle.net/11244/318661.

Council of Science Editors:

Marsh PT. A method for calibrating probabilistic forecasts. [Doctoral Dissertation]. University of Oklahoma; 2013. Available from: http://hdl.handle.net/11244/318661


University of Oklahoma

2. Gibbs, Jeremy Alan. DOWNSCALING TECHNIQUES FOR RETRIEVAL OF NEAR-SURFACE METEOROLOGICAL FIELDS AND TURBULENCE PARAMETERS FROM ATMOSPHERIC NUMERICAL MODEL OUTPUTS.

Degree: PhD, 2012, University of Oklahoma

 Mean fields of meteorological quantities predicted by the WRF model in a mesoscale configuration generally compare favor- ably with observational and LES data. However, inspection… (more)

Subjects/Keywords: Numerical weather forecasting; Weather forecasting – Mathematical models

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APA (6th Edition):

Gibbs, J. A. (2012). DOWNSCALING TECHNIQUES FOR RETRIEVAL OF NEAR-SURFACE METEOROLOGICAL FIELDS AND TURBULENCE PARAMETERS FROM ATMOSPHERIC NUMERICAL MODEL OUTPUTS. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/318674

Chicago Manual of Style (16th Edition):

Gibbs, Jeremy Alan. “DOWNSCALING TECHNIQUES FOR RETRIEVAL OF NEAR-SURFACE METEOROLOGICAL FIELDS AND TURBULENCE PARAMETERS FROM ATMOSPHERIC NUMERICAL MODEL OUTPUTS.” 2012. Doctoral Dissertation, University of Oklahoma. Accessed May 08, 2021. http://hdl.handle.net/11244/318674.

MLA Handbook (7th Edition):

Gibbs, Jeremy Alan. “DOWNSCALING TECHNIQUES FOR RETRIEVAL OF NEAR-SURFACE METEOROLOGICAL FIELDS AND TURBULENCE PARAMETERS FROM ATMOSPHERIC NUMERICAL MODEL OUTPUTS.” 2012. Web. 08 May 2021.

Vancouver:

Gibbs JA. DOWNSCALING TECHNIQUES FOR RETRIEVAL OF NEAR-SURFACE METEOROLOGICAL FIELDS AND TURBULENCE PARAMETERS FROM ATMOSPHERIC NUMERICAL MODEL OUTPUTS. [Internet] [Doctoral dissertation]. University of Oklahoma; 2012. [cited 2021 May 08]. Available from: http://hdl.handle.net/11244/318674.

Council of Science Editors:

Gibbs JA. DOWNSCALING TECHNIQUES FOR RETRIEVAL OF NEAR-SURFACE METEOROLOGICAL FIELDS AND TURBULENCE PARAMETERS FROM ATMOSPHERIC NUMERICAL MODEL OUTPUTS. [Doctoral Dissertation]. University of Oklahoma; 2012. Available from: http://hdl.handle.net/11244/318674


University of Oklahoma

3. Cheng, Kesong. MATHEMATICAL THEORY IN CLASSIFICATION AND SEGMENTATION.

Degree: PhD, 2012, University of Oklahoma

 We develop several mathematical approaches to solve a series of questions of interdisciplinary research interests. New distance functions are designed for the verification of meteorological… (more)

Subjects/Keywords: Numerical weather forecasting; Weather forecasting – Mathematical models; Cluster analysis

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APA (6th Edition):

Cheng, K. (2012). MATHEMATICAL THEORY IN CLASSIFICATION AND SEGMENTATION. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/320215

Chicago Manual of Style (16th Edition):

Cheng, Kesong. “MATHEMATICAL THEORY IN CLASSIFICATION AND SEGMENTATION.” 2012. Doctoral Dissertation, University of Oklahoma. Accessed May 08, 2021. http://hdl.handle.net/11244/320215.

MLA Handbook (7th Edition):

Cheng, Kesong. “MATHEMATICAL THEORY IN CLASSIFICATION AND SEGMENTATION.” 2012. Web. 08 May 2021.

Vancouver:

Cheng K. MATHEMATICAL THEORY IN CLASSIFICATION AND SEGMENTATION. [Internet] [Doctoral dissertation]. University of Oklahoma; 2012. [cited 2021 May 08]. Available from: http://hdl.handle.net/11244/320215.

Council of Science Editors:

Cheng K. MATHEMATICAL THEORY IN CLASSIFICATION AND SEGMENTATION. [Doctoral Dissertation]. University of Oklahoma; 2012. Available from: http://hdl.handle.net/11244/320215


Oregon State University

4. Harper, Kristine C. Boundaries of research : civilian leadership, military funding, and the international network surrounding the development of numerical weather prediction in the United States.

Degree: PhD, History of Science, 2003, Oregon State University

 American meteorology was synonymous with subjective weather forecasting in the early twentieth century. Controlled by the Weather Bureau and with no academic programs of its… (more)

Subjects/Keywords: Numerical weather forecasting

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APA (6th Edition):

Harper, K. C. (2003). Boundaries of research : civilian leadership, military funding, and the international network surrounding the development of numerical weather prediction in the United States. (Doctoral Dissertation). Oregon State University. Retrieved from http://hdl.handle.net/1957/30321

Chicago Manual of Style (16th Edition):

Harper, Kristine C. “Boundaries of research : civilian leadership, military funding, and the international network surrounding the development of numerical weather prediction in the United States.” 2003. Doctoral Dissertation, Oregon State University. Accessed May 08, 2021. http://hdl.handle.net/1957/30321.

MLA Handbook (7th Edition):

Harper, Kristine C. “Boundaries of research : civilian leadership, military funding, and the international network surrounding the development of numerical weather prediction in the United States.” 2003. Web. 08 May 2021.

Vancouver:

Harper KC. Boundaries of research : civilian leadership, military funding, and the international network surrounding the development of numerical weather prediction in the United States. [Internet] [Doctoral dissertation]. Oregon State University; 2003. [cited 2021 May 08]. Available from: http://hdl.handle.net/1957/30321.

Council of Science Editors:

Harper KC. Boundaries of research : civilian leadership, military funding, and the international network surrounding the development of numerical weather prediction in the United States. [Doctoral Dissertation]. Oregon State University; 2003. Available from: http://hdl.handle.net/1957/30321


Penn State University

5. Siddique, Ridwan. IMPROVING MEDIUM-RANGE STREAMFLOW FORECASTING ACROSS U.S. MIDDLE ATLANTIC REGION.

Degree: 2017, Penn State University

 Short- to medium-range (forecast lead times from 0 to 14 days) streamflow forecasts are subject to uncertainties from various sources. A major source of uncertainty… (more)

Subjects/Keywords: Hydrological modeling; Hydrological forecasting; Numerical weather prediction

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APA (6th Edition):

Siddique, R. (2017). IMPROVING MEDIUM-RANGE STREAMFLOW FORECASTING ACROSS U.S. MIDDLE ATLANTIC REGION. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/13998rxs490

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Siddique, Ridwan. “IMPROVING MEDIUM-RANGE STREAMFLOW FORECASTING ACROSS U.S. MIDDLE ATLANTIC REGION.” 2017. Thesis, Penn State University. Accessed May 08, 2021. https://submit-etda.libraries.psu.edu/catalog/13998rxs490.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Siddique, Ridwan. “IMPROVING MEDIUM-RANGE STREAMFLOW FORECASTING ACROSS U.S. MIDDLE ATLANTIC REGION.” 2017. Web. 08 May 2021.

Vancouver:

Siddique R. IMPROVING MEDIUM-RANGE STREAMFLOW FORECASTING ACROSS U.S. MIDDLE ATLANTIC REGION. [Internet] [Thesis]. Penn State University; 2017. [cited 2021 May 08]. Available from: https://submit-etda.libraries.psu.edu/catalog/13998rxs490.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Siddique R. IMPROVING MEDIUM-RANGE STREAMFLOW FORECASTING ACROSS U.S. MIDDLE ATLANTIC REGION. [Thesis]. Penn State University; 2017. Available from: https://submit-etda.libraries.psu.edu/catalog/13998rxs490

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Oklahoma

6. 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 May 08, 2021. 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. 08 May 2021.

Vancouver:

Schenkman AD. Exploring Tornadogenesis with High-Resolution Simulations Initialized with Real Data. [Internet] [Doctoral dissertation]. University of Oklahoma; 2012. [cited 2021 May 08]. 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


Penn State University

7. Green, Benjamin Weiss. Improving Numerical Weather Forecasts of Tropical Cyclones Through a Better Understanding of Surface and Boundary Layer Processes.

Degree: 2015, Penn State University

 Tropical cyclones (TCs) can pose substantial threats to life, property, and infrastructure. In order to minimize these losses, accurate forecasts of both TC track and… (more)

Subjects/Keywords: Tropical cyclones; hurricanes; air-sea interaction; numerical weather prediction; weather forecasting

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APA (6th Edition):

Green, B. W. (2015). Improving Numerical Weather Forecasts of Tropical Cyclones Through a Better Understanding of Surface and Boundary Layer Processes. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/24780

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Green, Benjamin Weiss. “Improving Numerical Weather Forecasts of Tropical Cyclones Through a Better Understanding of Surface and Boundary Layer Processes.” 2015. Thesis, Penn State University. Accessed May 08, 2021. https://submit-etda.libraries.psu.edu/catalog/24780.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Green, Benjamin Weiss. “Improving Numerical Weather Forecasts of Tropical Cyclones Through a Better Understanding of Surface and Boundary Layer Processes.” 2015. Web. 08 May 2021.

Vancouver:

Green BW. Improving Numerical Weather Forecasts of Tropical Cyclones Through a Better Understanding of Surface and Boundary Layer Processes. [Internet] [Thesis]. Penn State University; 2015. [cited 2021 May 08]. Available from: https://submit-etda.libraries.psu.edu/catalog/24780.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Green BW. Improving Numerical Weather Forecasts of Tropical Cyclones Through a Better Understanding of Surface and Boundary Layer Processes. [Thesis]. Penn State University; 2015. Available from: https://submit-etda.libraries.psu.edu/catalog/24780

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Oklahoma

8. Li, Zhengzheng. Applications of Gaussian Mixture Model to Weather Observations.

Degree: PhD, 2011, University of Oklahoma

 The estimation of weather parameters such as attenuation and rainfall rates from weather radar data has been based mainly on deterministic regression models. The applications… (more)

Subjects/Keywords: Gaussian processes; Radar meteorology; Weather forecasting; Numerical weather forecasting; Monte Carlo method

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APA (6th Edition):

Li, Z. (2011). Applications of Gaussian Mixture Model to Weather Observations. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/318575

Chicago Manual of Style (16th Edition):

Li, Zhengzheng. “Applications of Gaussian Mixture Model to Weather Observations.” 2011. Doctoral Dissertation, University of Oklahoma. Accessed May 08, 2021. http://hdl.handle.net/11244/318575.

MLA Handbook (7th Edition):

Li, Zhengzheng. “Applications of Gaussian Mixture Model to Weather Observations.” 2011. Web. 08 May 2021.

Vancouver:

Li Z. Applications of Gaussian Mixture Model to Weather Observations. [Internet] [Doctoral dissertation]. University of Oklahoma; 2011. [cited 2021 May 08]. Available from: http://hdl.handle.net/11244/318575.

Council of Science Editors:

Li Z. Applications of Gaussian Mixture Model to Weather Observations. [Doctoral Dissertation]. University of Oklahoma; 2011. Available from: http://hdl.handle.net/11244/318575


University of Oklahoma

9. Li, Zhengzheng. Applications of Gaussian Mixture Model to Weather Observations.

Degree: PhD, 2011, University of Oklahoma

 The estimation of weather parameters such as attenuation and rainfall rates from weather radar data has been based mainly on deterministic regression models. The applications… (more)

Subjects/Keywords: Gaussian processes; Radar meteorology; Weather forecasting; Numerical weather forecasting; Monte Carlo method

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

APA (6th Edition):

Li, Z. (2011). Applications of Gaussian Mixture Model to Weather Observations. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/319529

Chicago Manual of Style (16th Edition):

Li, Zhengzheng. “Applications of Gaussian Mixture Model to Weather Observations.” 2011. Doctoral Dissertation, University of Oklahoma. Accessed May 08, 2021. http://hdl.handle.net/11244/319529.

MLA Handbook (7th Edition):

Li, Zhengzheng. “Applications of Gaussian Mixture Model to Weather Observations.” 2011. Web. 08 May 2021.

Vancouver:

Li Z. Applications of Gaussian Mixture Model to Weather Observations. [Internet] [Doctoral dissertation]. University of Oklahoma; 2011. [cited 2021 May 08]. Available from: http://hdl.handle.net/11244/319529.

Council of Science Editors:

Li Z. Applications of Gaussian Mixture Model to Weather Observations. [Doctoral Dissertation]. University of Oklahoma; 2011. Available from: http://hdl.handle.net/11244/319529


Université Catholique de Louvain

10. Quibus, Laurent. Modelling propagation impairments of Earth-Space links using Numerical Weather Prediction tools.

Degree: 2020, Université Catholique de Louvain

 Communication channels between the Earth and satellites are in the on-going process to be scaled up to higher and higher carrier frequencies above 20 GHz.… (more)

Subjects/Keywords: Tropospheric attenuation; Weather radar; Numerical Weather Prediction; Weather Research and Forecasting; Radiowave propagation; Microwave radiometer

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APA (6th Edition):

Quibus, L. (2020). Modelling propagation impairments of Earth-Space links using Numerical Weather Prediction tools. (Thesis). Université Catholique de Louvain. Retrieved from http://hdl.handle.net/2078.1/232080

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Quibus, Laurent. “Modelling propagation impairments of Earth-Space links using Numerical Weather Prediction tools.” 2020. Thesis, Université Catholique de Louvain. Accessed May 08, 2021. http://hdl.handle.net/2078.1/232080.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Quibus, Laurent. “Modelling propagation impairments of Earth-Space links using Numerical Weather Prediction tools.” 2020. Web. 08 May 2021.

Vancouver:

Quibus L. Modelling propagation impairments of Earth-Space links using Numerical Weather Prediction tools. [Internet] [Thesis]. Université Catholique de Louvain; 2020. [cited 2021 May 08]. Available from: http://hdl.handle.net/2078.1/232080.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Quibus L. Modelling propagation impairments of Earth-Space links using Numerical Weather Prediction tools. [Thesis]. Université Catholique de Louvain; 2020. Available from: http://hdl.handle.net/2078.1/232080

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Portland State University

11. Kalashnikov, Dmitri Alexander. A 30-Year Climatology of Meteorological Conditions Associated with Lightning Days in the Western United States.

Degree: MS(M.S.) in Geography, Geography, 2019, Portland State University

  A 30-year climatology of lightning and associated synoptic meteorological patterns are characterized across the Western United States (WUS), utilizing a comprehensive composite analysis. Results… (more)

Subjects/Keywords: Lightning  – West (U.S.)  – Forecasting; Lightning  – Forecasting  – Mathematical models; Numerical weather forecasting; Climatology; Geography

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APA (6th Edition):

Kalashnikov, D. A. (2019). A 30-Year Climatology of Meteorological Conditions Associated with Lightning Days in the Western United States. (Masters Thesis). Portland State University. Retrieved from https://pdxscholar.library.pdx.edu/open_access_etds/5430

Chicago Manual of Style (16th Edition):

Kalashnikov, Dmitri Alexander. “A 30-Year Climatology of Meteorological Conditions Associated with Lightning Days in the Western United States.” 2019. Masters Thesis, Portland State University. Accessed May 08, 2021. https://pdxscholar.library.pdx.edu/open_access_etds/5430.

MLA Handbook (7th Edition):

Kalashnikov, Dmitri Alexander. “A 30-Year Climatology of Meteorological Conditions Associated with Lightning Days in the Western United States.” 2019. Web. 08 May 2021.

Vancouver:

Kalashnikov DA. A 30-Year Climatology of Meteorological Conditions Associated with Lightning Days in the Western United States. [Internet] [Masters thesis]. Portland State University; 2019. [cited 2021 May 08]. Available from: https://pdxscholar.library.pdx.edu/open_access_etds/5430.

Council of Science Editors:

Kalashnikov DA. A 30-Year Climatology of Meteorological Conditions Associated with Lightning Days in the Western United States. [Masters Thesis]. Portland State University; 2019. Available from: https://pdxscholar.library.pdx.edu/open_access_etds/5430


University of Alberta

12. Pennelly, Clark William. Verification of the Weather Research and Forecasting Model for Alberta.

Degree: MS, Department of Earth and Atmospheric Sciences, 2013, University of Alberta

 We simulated three heavy summer precipitation events in Alberta, Canada, using the Weather Research and Forecasting (WRF) model and compared the output precipitation data with… (more)

Subjects/Keywords: cumulus parameterization; Weather Research and Forecasting; WRF; precipitation; skill score; Numerical weather prediction; forecast verification

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APA (6th Edition):

Pennelly, C. W. (2013). Verification of the Weather Research and Forecasting Model for Alberta. (Masters Thesis). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/4b29b7063

Chicago Manual of Style (16th Edition):

Pennelly, Clark William. “Verification of the Weather Research and Forecasting Model for Alberta.” 2013. Masters Thesis, University of Alberta. Accessed May 08, 2021. https://era.library.ualberta.ca/files/4b29b7063.

MLA Handbook (7th Edition):

Pennelly, Clark William. “Verification of the Weather Research and Forecasting Model for Alberta.” 2013. Web. 08 May 2021.

Vancouver:

Pennelly CW. Verification of the Weather Research and Forecasting Model for Alberta. [Internet] [Masters thesis]. University of Alberta; 2013. [cited 2021 May 08]. Available from: https://era.library.ualberta.ca/files/4b29b7063.

Council of Science Editors:

Pennelly CW. Verification of the Weather Research and Forecasting Model for Alberta. [Masters Thesis]. University of Alberta; 2013. Available from: https://era.library.ualberta.ca/files/4b29b7063


University of Connecticut

13. Samalot, Alexander. Combined Universal Kriging and Kalman Filter Techniques to Improve Wind Speed Prediction for Northeastern U.S.

Degree: MS, Environmental Engineering, 2017, University of Connecticut

  The scope of this study is to identify and improve wind speed prediction errors for storms that have impacted the Northeastern United States during… (more)

Subjects/Keywords: Numerical Weather Prediction; Weather Research and Forecasting; Post Processing; WRF; Kalman Filter; Universal Kriging

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APA (6th Edition):

Samalot, A. (2017). Combined Universal Kriging and Kalman Filter Techniques to Improve Wind Speed Prediction for Northeastern U.S. (Masters Thesis). University of Connecticut. Retrieved from https://opencommons.uconn.edu/gs_theses/1131

Chicago Manual of Style (16th Edition):

Samalot, Alexander. “Combined Universal Kriging and Kalman Filter Techniques to Improve Wind Speed Prediction for Northeastern U.S.” 2017. Masters Thesis, University of Connecticut. Accessed May 08, 2021. https://opencommons.uconn.edu/gs_theses/1131.

MLA Handbook (7th Edition):

Samalot, Alexander. “Combined Universal Kriging and Kalman Filter Techniques to Improve Wind Speed Prediction for Northeastern U.S.” 2017. Web. 08 May 2021.

Vancouver:

Samalot A. Combined Universal Kriging and Kalman Filter Techniques to Improve Wind Speed Prediction for Northeastern U.S. [Internet] [Masters thesis]. University of Connecticut; 2017. [cited 2021 May 08]. Available from: https://opencommons.uconn.edu/gs_theses/1131.

Council of Science Editors:

Samalot A. Combined Universal Kriging and Kalman Filter Techniques to Improve Wind Speed Prediction for Northeastern U.S. [Masters Thesis]. University of Connecticut; 2017. Available from: https://opencommons.uconn.edu/gs_theses/1131


University of Oxford

14. Hatfield, Samuel. Reduced-precision arithmetic in numerical weather prediction with an emphasis on data assimilation.

Degree: PhD, 2019, University of Oxford

 The skill of weather forecasts has improved dramatically over the past 30 years. This improvement has depended to a large degree on developments in supercomputing,… (more)

Subjects/Keywords: data assimilation; high-performance computing; Numerical weather forecasting

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APA (6th Edition):

Hatfield, S. (2019). Reduced-precision arithmetic in numerical weather prediction with an emphasis on data assimilation. (Doctoral Dissertation). University of Oxford. Retrieved from http://ora.ox.ac.uk/objects/uuid:633244e2-0a6a-47e1-aa4f-dcb656583c83 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.791733

Chicago Manual of Style (16th Edition):

Hatfield, Samuel. “Reduced-precision arithmetic in numerical weather prediction with an emphasis on data assimilation.” 2019. Doctoral Dissertation, University of Oxford. Accessed May 08, 2021. http://ora.ox.ac.uk/objects/uuid:633244e2-0a6a-47e1-aa4f-dcb656583c83 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.791733.

MLA Handbook (7th Edition):

Hatfield, Samuel. “Reduced-precision arithmetic in numerical weather prediction with an emphasis on data assimilation.” 2019. Web. 08 May 2021.

Vancouver:

Hatfield S. Reduced-precision arithmetic in numerical weather prediction with an emphasis on data assimilation. [Internet] [Doctoral dissertation]. University of Oxford; 2019. [cited 2021 May 08]. Available from: http://ora.ox.ac.uk/objects/uuid:633244e2-0a6a-47e1-aa4f-dcb656583c83 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.791733.

Council of Science Editors:

Hatfield S. Reduced-precision arithmetic in numerical weather prediction with an emphasis on data assimilation. [Doctoral Dissertation]. University of Oxford; 2019. Available from: http://ora.ox.ac.uk/objects/uuid:633244e2-0a6a-47e1-aa4f-dcb656583c83 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.791733


Texas A&M University

15. Herrera, Michael Aaron. Techniques for the Improvement of Numerical Weather Prediction: Investigating the Dynamics of Forecast Uncertainty and the Implementation of Regionally Enhanced Global Data Assimilation.

Degree: PhD, Atmospheric Sciences, 2016, Texas A&M University

 This dissertation describes and shows results from two projects which focused on investigating and improving current methods of numerical weather prediction. First, we show a… (more)

Subjects/Keywords: data assimilation; numerical weather prediction; ensemble forecasting; forecast uncertainty

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APA (6th Edition):

Herrera, M. A. (2016). Techniques for the Improvement of Numerical Weather Prediction: Investigating the Dynamics of Forecast Uncertainty and the Implementation of Regionally Enhanced Global Data Assimilation. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/159097

Chicago Manual of Style (16th Edition):

Herrera, Michael Aaron. “Techniques for the Improvement of Numerical Weather Prediction: Investigating the Dynamics of Forecast Uncertainty and the Implementation of Regionally Enhanced Global Data Assimilation.” 2016. Doctoral Dissertation, Texas A&M University. Accessed May 08, 2021. http://hdl.handle.net/1969.1/159097.

MLA Handbook (7th Edition):

Herrera, Michael Aaron. “Techniques for the Improvement of Numerical Weather Prediction: Investigating the Dynamics of Forecast Uncertainty and the Implementation of Regionally Enhanced Global Data Assimilation.” 2016. Web. 08 May 2021.

Vancouver:

Herrera MA. Techniques for the Improvement of Numerical Weather Prediction: Investigating the Dynamics of Forecast Uncertainty and the Implementation of Regionally Enhanced Global Data Assimilation. [Internet] [Doctoral dissertation]. Texas A&M University; 2016. [cited 2021 May 08]. Available from: http://hdl.handle.net/1969.1/159097.

Council of Science Editors:

Herrera MA. Techniques for the Improvement of Numerical Weather Prediction: Investigating the Dynamics of Forecast Uncertainty and the Implementation of Regionally Enhanced Global Data Assimilation. [Doctoral Dissertation]. Texas A&M University; 2016. Available from: http://hdl.handle.net/1969.1/159097


Penn State University

16. Sharma, Sanjib. ADVANCING A REGIONAL HYDROLOGIC ENSEMBLE PREDICTION SYSTEM.

Degree: 2019, Penn State University

 There is great potential for using ensemble weather forecasts to improve hydrological predictions across spatial and temporal scales. To realize this potential, research is needed… (more)

Subjects/Keywords: Streamflow forecasting; .Hydrometeorology; Water quantity prediction; Numerical weather prediction

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APA (6th Edition):

Sharma, S. (2019). ADVANCING A REGIONAL HYDROLOGIC ENSEMBLE PREDICTION SYSTEM. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/16547svs6308

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Sharma, Sanjib. “ADVANCING A REGIONAL HYDROLOGIC ENSEMBLE PREDICTION SYSTEM.” 2019. Thesis, Penn State University. Accessed May 08, 2021. https://submit-etda.libraries.psu.edu/catalog/16547svs6308.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Sharma, Sanjib. “ADVANCING A REGIONAL HYDROLOGIC ENSEMBLE PREDICTION SYSTEM.” 2019. Web. 08 May 2021.

Vancouver:

Sharma S. ADVANCING A REGIONAL HYDROLOGIC ENSEMBLE PREDICTION SYSTEM. [Internet] [Thesis]. Penn State University; 2019. [cited 2021 May 08]. Available from: https://submit-etda.libraries.psu.edu/catalog/16547svs6308.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Sharma S. ADVANCING A REGIONAL HYDROLOGIC ENSEMBLE PREDICTION SYSTEM. [Thesis]. Penn State University; 2019. Available from: https://submit-etda.libraries.psu.edu/catalog/16547svs6308

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Hong Kong

17. 陳鋈鋆. A limited area primitive equation weather prediction model for Hong Kong.

Degree: 1984, University of Hong Kong

Subjects/Keywords: Numerical weather forecasting - Mathematical models.

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APA (6th Edition):

陳鋈鋆. (1984). A limited area primitive equation weather prediction model for Hong Kong. (Thesis). University of Hong Kong. Retrieved from http://hdl.handle.net/10722/32273

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

陳鋈鋆. “A limited area primitive equation weather prediction model for Hong Kong.” 1984. Thesis, University of Hong Kong. Accessed May 08, 2021. http://hdl.handle.net/10722/32273.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

陳鋈鋆. “A limited area primitive equation weather prediction model for Hong Kong.” 1984. Web. 08 May 2021.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

陳鋈鋆. A limited area primitive equation weather prediction model for Hong Kong. [Internet] [Thesis]. University of Hong Kong; 1984. [cited 2021 May 08]. Available from: http://hdl.handle.net/10722/32273.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

陳鋈鋆. A limited area primitive equation weather prediction model for Hong Kong. [Thesis]. University of Hong Kong; 1984. Available from: http://hdl.handle.net/10722/32273

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete
Not specified: Masters Thesis or Doctoral Dissertation


Colorado State University

18. Herman, Gregory Reid. Model post-processing for the extremes: improving forecasts of locally extreme rainfall.

Degree: MS(M.S.), Atmospheric Science, 2016, Colorado State University

 This study investigates the science of forecasting locally extreme precipitation events over the contiguous United States from a fixed-frequency perspective, as opposed to the traditionally… (more)

Subjects/Keywords: forecasting; post-processing; numerical weather prediction; extreme precipitation

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APA (6th Edition):

Herman, G. R. (2016). Model post-processing for the extremes: improving forecasts of locally extreme rainfall. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/173452

Chicago Manual of Style (16th Edition):

Herman, Gregory Reid. “Model post-processing for the extremes: improving forecasts of locally extreme rainfall.” 2016. Masters Thesis, Colorado State University. Accessed May 08, 2021. http://hdl.handle.net/10217/173452.

MLA Handbook (7th Edition):

Herman, Gregory Reid. “Model post-processing for the extremes: improving forecasts of locally extreme rainfall.” 2016. Web. 08 May 2021.

Vancouver:

Herman GR. Model post-processing for the extremes: improving forecasts of locally extreme rainfall. [Internet] [Masters thesis]. Colorado State University; 2016. [cited 2021 May 08]. Available from: http://hdl.handle.net/10217/173452.

Council of Science Editors:

Herman GR. Model post-processing for the extremes: improving forecasts of locally extreme rainfall. [Masters Thesis]. Colorado State University; 2016. Available from: http://hdl.handle.net/10217/173452


University of Oklahoma

19. 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 May 08, 2021. http://hdl.handle.net/11244/52733.

MLA Handbook (7th Edition):

Gallo, Burkely. “Deriving Operationally Relevant Tornado Probabilities from Convection-Allowing Ensembles.” 2017. Web. 08 May 2021.

Vancouver:

Gallo B. Deriving Operationally Relevant Tornado Probabilities from Convection-Allowing Ensembles. [Internet] [Doctoral dissertation]. University of Oklahoma; 2017. [cited 2021 May 08]. 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

20. 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 May 08, 2021. 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. 08 May 2021.

Vancouver:

Duda J. OPTIMAL DESIGN OF A CONVECTION-ALLOWING ENSEMBLE FROM A MODEL ERROR PERSPECTIVE. [Internet] [Doctoral dissertation]. University of Oklahoma; 2016. [cited 2021 May 08]. 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


Delft University of Technology

21. Lacoa Arends, Eric (author). Novel machine learning methods to enhance wind power probabilistic forecasting: SPinHy-NN framework proposal for European electricity markets.

Degree: 2020, Delft University of Technology

The increasing penetration of weather-dependent energy sources brings additional challenges to the operation of the power system. Wind power forecasting is a valuable resource for… (more)

Subjects/Keywords: Wind Power Forecasting; Convolutional Neural Network; Multilayer Perceptron; machine learning; Numerical weather forecasting

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APA (6th Edition):

Lacoa Arends, E. (. (2020). Novel machine learning methods to enhance wind power probabilistic forecasting: SPinHy-NN framework proposal for European electricity markets. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:42eafe91-3e08-42f9-be64-ba074734320a

Chicago Manual of Style (16th Edition):

Lacoa Arends, Eric (author). “Novel machine learning methods to enhance wind power probabilistic forecasting: SPinHy-NN framework proposal for European electricity markets.” 2020. Masters Thesis, Delft University of Technology. Accessed May 08, 2021. http://resolver.tudelft.nl/uuid:42eafe91-3e08-42f9-be64-ba074734320a.

MLA Handbook (7th Edition):

Lacoa Arends, Eric (author). “Novel machine learning methods to enhance wind power probabilistic forecasting: SPinHy-NN framework proposal for European electricity markets.” 2020. Web. 08 May 2021.

Vancouver:

Lacoa Arends E(. Novel machine learning methods to enhance wind power probabilistic forecasting: SPinHy-NN framework proposal for European electricity markets. [Internet] [Masters thesis]. Delft University of Technology; 2020. [cited 2021 May 08]. Available from: http://resolver.tudelft.nl/uuid:42eafe91-3e08-42f9-be64-ba074734320a.

Council of Science Editors:

Lacoa Arends E(. Novel machine learning methods to enhance wind power probabilistic forecasting: SPinHy-NN framework proposal for European electricity markets. [Masters Thesis]. Delft University of Technology; 2020. Available from: http://resolver.tudelft.nl/uuid:42eafe91-3e08-42f9-be64-ba074734320a


University of Washington

22. Weyn-Vanhentenryck, Jonathan. Sub-seasonal forecasting using large ensembles of data-driven global weather prediction models.

Degree: PhD, 2020, University of Washington

 The current state-of-the-art in numerical weather prediction (NWP) is to generate probabilistic forecasts using large ensembles consisting of equally-likely realizations of future weather. Such large… (more)

Subjects/Keywords: convolutional neural network; deep learning; numerical weather prediction; S2S forecasting; weather forecasting; Atmospheric sciences; Artificial intelligence; Atmospheric sciences

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APA (6th Edition):

Weyn-Vanhentenryck, J. (2020). Sub-seasonal forecasting using large ensembles of data-driven global weather prediction models. (Doctoral Dissertation). University of Washington. Retrieved from http://hdl.handle.net/1773/45825

Chicago Manual of Style (16th Edition):

Weyn-Vanhentenryck, Jonathan. “Sub-seasonal forecasting using large ensembles of data-driven global weather prediction models.” 2020. Doctoral Dissertation, University of Washington. Accessed May 08, 2021. http://hdl.handle.net/1773/45825.

MLA Handbook (7th Edition):

Weyn-Vanhentenryck, Jonathan. “Sub-seasonal forecasting using large ensembles of data-driven global weather prediction models.” 2020. Web. 08 May 2021.

Vancouver:

Weyn-Vanhentenryck J. Sub-seasonal forecasting using large ensembles of data-driven global weather prediction models. [Internet] [Doctoral dissertation]. University of Washington; 2020. [cited 2021 May 08]. Available from: http://hdl.handle.net/1773/45825.

Council of Science Editors:

Weyn-Vanhentenryck J. Sub-seasonal forecasting using large ensembles of data-driven global weather prediction models. [Doctoral Dissertation]. University of Washington; 2020. Available from: http://hdl.handle.net/1773/45825


Florida State University

23. Chen, Xiong-shan, 1933-. The aliased and the de-aliased spectral models of the shallow water equations.

Degree: 1991, Florida State University

"The most widely used spectral models with the transform method are the de-aliased spectral model in which the de-aliased technique is used in the discrete… (more)

Subjects/Keywords: Numerical weather forecasting; Weather forecasting; Mathematical models

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APA (6th Edition):

Chen, Xiong-shan, 1. (1991). The aliased and the de-aliased spectral models of the shallow water equations. (Masters Thesis). Florida State University. Retrieved from http://purl.flvc.org/fsu/fd/FSU_agg9483 ;

Chicago Manual of Style (16th Edition):

Chen, Xiong-shan, 1933-. “The aliased and the de-aliased spectral models of the shallow water equations.” 1991. Masters Thesis, Florida State University. Accessed May 08, 2021. http://purl.flvc.org/fsu/fd/FSU_agg9483 ;.

MLA Handbook (7th Edition):

Chen, Xiong-shan, 1933-. “The aliased and the de-aliased spectral models of the shallow water equations.” 1991. Web. 08 May 2021.

Vancouver:

Chen, Xiong-shan 1. The aliased and the de-aliased spectral models of the shallow water equations. [Internet] [Masters thesis]. Florida State University; 1991. [cited 2021 May 08]. Available from: http://purl.flvc.org/fsu/fd/FSU_agg9483 ;.

Council of Science Editors:

Chen, Xiong-shan 1. The aliased and the de-aliased spectral models of the shallow water equations. [Masters Thesis]. Florida State University; 1991. Available from: http://purl.flvc.org/fsu/fd/FSU_agg9483 ;


Indian Institute of Science

24. Malakar, Preeti. Integrated Parallel Simulations and Visualization for Large-Scale Weather Applications.

Degree: PhD, Faculty of Engineering, 2018, Indian Institute of Science

 The emergence of the exascale era necessitates development of new techniques to efficiently perform high-performance scientific simulations, online data analysis and on-the-fly visualization. Critical applications… (more)

Subjects/Keywords: Weather Simulations; Cyclone Tracking; Cloud Tracking; Atmospheric Model; Numerical Weather Forecasting; Online Remote Visualization; Computational Steering - Weather; Weather Performance Modeling; Weather Topology-Aware Mapping; Online Data Analysis - Weather; Weather Forecasting - Simulation; Weather Simulations; Critical Weather Applications; Cyclone Aila; Computer Science

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APA (6th Edition):

Malakar, P. (2018). Integrated Parallel Simulations and Visualization for Large-Scale Weather Applications. (Doctoral Dissertation). Indian Institute of Science. Retrieved from http://etd.iisc.ac.in/handle/2005/3907

Chicago Manual of Style (16th Edition):

Malakar, Preeti. “Integrated Parallel Simulations and Visualization for Large-Scale Weather Applications.” 2018. Doctoral Dissertation, Indian Institute of Science. Accessed May 08, 2021. http://etd.iisc.ac.in/handle/2005/3907.

MLA Handbook (7th Edition):

Malakar, Preeti. “Integrated Parallel Simulations and Visualization for Large-Scale Weather Applications.” 2018. Web. 08 May 2021.

Vancouver:

Malakar P. Integrated Parallel Simulations and Visualization for Large-Scale Weather Applications. [Internet] [Doctoral dissertation]. Indian Institute of Science; 2018. [cited 2021 May 08]. Available from: http://etd.iisc.ac.in/handle/2005/3907.

Council of Science Editors:

Malakar P. Integrated Parallel Simulations and Visualization for Large-Scale Weather Applications. [Doctoral Dissertation]. Indian Institute of Science; 2018. Available from: http://etd.iisc.ac.in/handle/2005/3907


University of Maryland

25. Amezcua, Javier. ADVANCES IN SEQUENTIAL DATA ASSIMILATION AND NUMERICAL WEATHER FORECASTING: AN ENSEMBLE TRANSFORM KALMAN-BUCY FILTER, A STUDY ON CLUSTERING IN DETERMINISTIC ENSEMBLE SQUARE ROOT FILTERS, AND A TEST OF A NEW TIME STEPPING SCHEME IN AN ATMOSPHERIC MODEL.

Degree: Atmospheric and Oceanic Sciences, 2012, University of Maryland

 This dissertation deals with aspects of sequential data assimilation (in particular ensemble Kalman filtering) and numerical weather forecasting. In the first part, the recently formulated… (more)

Subjects/Keywords: Atmospheric sciences; data assimilation; Kalman filter; numerical schemes; numerical weather forecasting; predictability

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APA (6th Edition):

Amezcua, J. (2012). ADVANCES IN SEQUENTIAL DATA ASSIMILATION AND NUMERICAL WEATHER FORECASTING: AN ENSEMBLE TRANSFORM KALMAN-BUCY FILTER, A STUDY ON CLUSTERING IN DETERMINISTIC ENSEMBLE SQUARE ROOT FILTERS, AND A TEST OF A NEW TIME STEPPING SCHEME IN AN ATMOSPHERIC MODEL. (Thesis). University of Maryland. Retrieved from http://hdl.handle.net/1903/12986

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Amezcua, Javier. “ADVANCES IN SEQUENTIAL DATA ASSIMILATION AND NUMERICAL WEATHER FORECASTING: AN ENSEMBLE TRANSFORM KALMAN-BUCY FILTER, A STUDY ON CLUSTERING IN DETERMINISTIC ENSEMBLE SQUARE ROOT FILTERS, AND A TEST OF A NEW TIME STEPPING SCHEME IN AN ATMOSPHERIC MODEL.” 2012. Thesis, University of Maryland. Accessed May 08, 2021. http://hdl.handle.net/1903/12986.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Amezcua, Javier. “ADVANCES IN SEQUENTIAL DATA ASSIMILATION AND NUMERICAL WEATHER FORECASTING: AN ENSEMBLE TRANSFORM KALMAN-BUCY FILTER, A STUDY ON CLUSTERING IN DETERMINISTIC ENSEMBLE SQUARE ROOT FILTERS, AND A TEST OF A NEW TIME STEPPING SCHEME IN AN ATMOSPHERIC MODEL.” 2012. Web. 08 May 2021.

Vancouver:

Amezcua J. ADVANCES IN SEQUENTIAL DATA ASSIMILATION AND NUMERICAL WEATHER FORECASTING: AN ENSEMBLE TRANSFORM KALMAN-BUCY FILTER, A STUDY ON CLUSTERING IN DETERMINISTIC ENSEMBLE SQUARE ROOT FILTERS, AND A TEST OF A NEW TIME STEPPING SCHEME IN AN ATMOSPHERIC MODEL. [Internet] [Thesis]. University of Maryland; 2012. [cited 2021 May 08]. Available from: http://hdl.handle.net/1903/12986.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Amezcua J. ADVANCES IN SEQUENTIAL DATA ASSIMILATION AND NUMERICAL WEATHER FORECASTING: AN ENSEMBLE TRANSFORM KALMAN-BUCY FILTER, A STUDY ON CLUSTERING IN DETERMINISTIC ENSEMBLE SQUARE ROOT FILTERS, AND A TEST OF A NEW TIME STEPPING SCHEME IN AN ATMOSPHERIC MODEL. [Thesis]. University of Maryland; 2012. Available from: http://hdl.handle.net/1903/12986

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Portland State University

26. Khajehei, Sepideh. A Multivariate Modeling Approach for Generating Ensemble Climatology Forcing for Hydrologic Applications.

Degree: MS(M.S.) in Civil & Environmental Engineering, Civil and Environmental Engineering, 2015, Portland State University

  Reliability and accuracy of the forcing data plays a vital role in the Hydrological Streamflow Prediction. Reliability of the forcing data leads to accurate… (more)

Subjects/Keywords: Numerical weather forecasting; Precipitation forecasting  – Mathematical models; Hydrologic models; Streamflow  – Forecasting; Civil and Environmental Engineering; Hydrology

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APA (6th Edition):

Khajehei, S. (2015). A Multivariate Modeling Approach for Generating Ensemble Climatology Forcing for Hydrologic Applications. (Masters Thesis). Portland State University. Retrieved from https://pdxscholar.library.pdx.edu/open_access_etds/2403

Chicago Manual of Style (16th Edition):

Khajehei, Sepideh. “A Multivariate Modeling Approach for Generating Ensemble Climatology Forcing for Hydrologic Applications.” 2015. Masters Thesis, Portland State University. Accessed May 08, 2021. https://pdxscholar.library.pdx.edu/open_access_etds/2403.

MLA Handbook (7th Edition):

Khajehei, Sepideh. “A Multivariate Modeling Approach for Generating Ensemble Climatology Forcing for Hydrologic Applications.” 2015. Web. 08 May 2021.

Vancouver:

Khajehei S. A Multivariate Modeling Approach for Generating Ensemble Climatology Forcing for Hydrologic Applications. [Internet] [Masters thesis]. Portland State University; 2015. [cited 2021 May 08]. Available from: https://pdxscholar.library.pdx.edu/open_access_etds/2403.

Council of Science Editors:

Khajehei S. A Multivariate Modeling Approach for Generating Ensemble Climatology Forcing for Hydrologic Applications. [Masters Thesis]. Portland State University; 2015. Available from: https://pdxscholar.library.pdx.edu/open_access_etds/2403


University of Alberta

27. Goos, Timothy Otto. A finite-element method applied to a two-level quasi-geostrophic model atmosphere.

Degree: MSin Meteorology, Department of Geography, 1981, University of Alberta

Subjects/Keywords: Numerical weather forecasting.; Finite element method.

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APA (6th Edition):

Goos, T. O. (1981). A finite-element method applied to a two-level quasi-geostrophic model atmosphere. (Masters Thesis). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/kp78gj553

Chicago Manual of Style (16th Edition):

Goos, Timothy Otto. “A finite-element method applied to a two-level quasi-geostrophic model atmosphere.” 1981. Masters Thesis, University of Alberta. Accessed May 08, 2021. https://era.library.ualberta.ca/files/kp78gj553.

MLA Handbook (7th Edition):

Goos, Timothy Otto. “A finite-element method applied to a two-level quasi-geostrophic model atmosphere.” 1981. Web. 08 May 2021.

Vancouver:

Goos TO. A finite-element method applied to a two-level quasi-geostrophic model atmosphere. [Internet] [Masters thesis]. University of Alberta; 1981. [cited 2021 May 08]. Available from: https://era.library.ualberta.ca/files/kp78gj553.

Council of Science Editors:

Goos TO. A finite-element method applied to a two-level quasi-geostrophic model atmosphere. [Masters Thesis]. University of Alberta; 1981. Available from: https://era.library.ualberta.ca/files/kp78gj553


Penn State University

28. Lee, Jared Armand. Techniques for Down-selecting Numerical Weather Prediction Ensembles.

Degree: 2012, Penn State University

 Ensembles of numerical weather prediction (NWP) models are valuable forecast- ing tools for a number of applications. Because the spread in the ensemble predictions is… (more)

Subjects/Keywords: numerical weather prediction/forecasting; ensembles; statistical modeling; model evaluation/performance; down-selection

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APA (6th Edition):

Lee, J. A. (2012). Techniques for Down-selecting Numerical Weather Prediction Ensembles. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/15236

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Lee, Jared Armand. “Techniques for Down-selecting Numerical Weather Prediction Ensembles.” 2012. Thesis, Penn State University. Accessed May 08, 2021. https://submit-etda.libraries.psu.edu/catalog/15236.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Lee, Jared Armand. “Techniques for Down-selecting Numerical Weather Prediction Ensembles.” 2012. Web. 08 May 2021.

Vancouver:

Lee JA. Techniques for Down-selecting Numerical Weather Prediction Ensembles. [Internet] [Thesis]. Penn State University; 2012. [cited 2021 May 08]. Available from: https://submit-etda.libraries.psu.edu/catalog/15236.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Lee JA. Techniques for Down-selecting Numerical Weather Prediction Ensembles. [Thesis]. Penn State University; 2012. Available from: https://submit-etda.libraries.psu.edu/catalog/15236

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Florida State University

29. Dignon, Nancy E. Numerical experimentation study on tropical cyclogenesis.

Degree: 1986, Florida State University

During the 1979 Atlantic hurricane season a tropical wave left the west coast of Africa and continued westward where satellite and ship observation indicated strengthening… (more)

Subjects/Keywords: Hurricanes; Mathematical models; Numerical weather forecasting

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APA (6th Edition):

Dignon, N. E. (1986). Numerical experimentation study on tropical cyclogenesis. (Masters Thesis). Florida State University. Retrieved from http://purl.flvc.org/fsu/fd/FSU_adm6817 ;

Chicago Manual of Style (16th Edition):

Dignon, Nancy E. “Numerical experimentation study on tropical cyclogenesis.” 1986. Masters Thesis, Florida State University. Accessed May 08, 2021. http://purl.flvc.org/fsu/fd/FSU_adm6817 ;.

MLA Handbook (7th Edition):

Dignon, Nancy E. “Numerical experimentation study on tropical cyclogenesis.” 1986. Web. 08 May 2021.

Vancouver:

Dignon NE. Numerical experimentation study on tropical cyclogenesis. [Internet] [Masters thesis]. Florida State University; 1986. [cited 2021 May 08]. Available from: http://purl.flvc.org/fsu/fd/FSU_adm6817 ;.

Council of Science Editors:

Dignon NE. Numerical experimentation study on tropical cyclogenesis. [Masters Thesis]. Florida State University; 1986. Available from: http://purl.flvc.org/fsu/fd/FSU_adm6817 ;


University of Washington

30. Weber, Nicholas. Tropical Convection and Subseasonal Weather Prediction in a Global Convection-Permitting Model.

Degree: PhD, 2020, University of Washington

 Although accurate weather and climate prediction beyond one to two weeks is of great value to society, the skill of such extended prediction is limited… (more)

Subjects/Keywords: high resolution modelling; numerical weather prediction; subseasonal forecasting; tropical convection; Atmospheric sciences; Atmospheric sciences

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

APA (6th Edition):

Weber, N. (2020). Tropical Convection and Subseasonal Weather Prediction in a Global Convection-Permitting Model. (Doctoral Dissertation). University of Washington. Retrieved from http://hdl.handle.net/1773/46372

Chicago Manual of Style (16th Edition):

Weber, Nicholas. “Tropical Convection and Subseasonal Weather Prediction in a Global Convection-Permitting Model.” 2020. Doctoral Dissertation, University of Washington. Accessed May 08, 2021. http://hdl.handle.net/1773/46372.

MLA Handbook (7th Edition):

Weber, Nicholas. “Tropical Convection and Subseasonal Weather Prediction in a Global Convection-Permitting Model.” 2020. Web. 08 May 2021.

Vancouver:

Weber N. Tropical Convection and Subseasonal Weather Prediction in a Global Convection-Permitting Model. [Internet] [Doctoral dissertation]. University of Washington; 2020. [cited 2021 May 08]. Available from: http://hdl.handle.net/1773/46372.

Council of Science Editors:

Weber N. Tropical Convection and Subseasonal Weather Prediction in a Global Convection-Permitting Model. [Doctoral Dissertation]. University of Washington; 2020. Available from: http://hdl.handle.net/1773/46372

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