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You searched for subject:(Nowcasting Meteorology ). Showing records 1 – 4 of 4 total matches.

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Hong Kong University of Science and Technology

1. Shi, Xingjian CSE. Exploring deep learning architectures for spatiotemporal sequence forecasting.

Degree: 2018, Hong Kong University of Science and Technology

 Spatiotemporal systems are common in the real world. Forecasting the multi-step future of these spatiotemporal systems based on past observations, or, Spatiotemporal Sequence Forecasting (STSF),… (more)

Subjects/Keywords: Machine learning ; Nowcasting (Meteorology) ; Data processing

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

APA (6th Edition):

Shi, X. C. (2018). Exploring deep learning architectures for spatiotemporal sequence forecasting. (Thesis). Hong Kong University of Science and Technology. Retrieved from http://repository.ust.hk/ir/Record/1783.1-97739 ; https://doi.org/10.14711/thesis-991012671057603412 ; http://repository.ust.hk/ir/bitstream/1783.1-97739/1/th_redirect.html

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):

Shi, Xingjian CSE. “Exploring deep learning architectures for spatiotemporal sequence forecasting.” 2018. Thesis, Hong Kong University of Science and Technology. Accessed April 22, 2021. http://repository.ust.hk/ir/Record/1783.1-97739 ; https://doi.org/10.14711/thesis-991012671057603412 ; http://repository.ust.hk/ir/bitstream/1783.1-97739/1/th_redirect.html.

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

MLA Handbook (7th Edition):

Shi, Xingjian CSE. “Exploring deep learning architectures for spatiotemporal sequence forecasting.” 2018. Web. 22 Apr 2021.

Vancouver:

Shi XC. Exploring deep learning architectures for spatiotemporal sequence forecasting. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2018. [cited 2021 Apr 22]. Available from: http://repository.ust.hk/ir/Record/1783.1-97739 ; https://doi.org/10.14711/thesis-991012671057603412 ; http://repository.ust.hk/ir/bitstream/1783.1-97739/1/th_redirect.html.

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

Council of Science Editors:

Shi XC. Exploring deep learning architectures for spatiotemporal sequence forecasting. [Thesis]. Hong Kong University of Science and Technology; 2018. Available from: http://repository.ust.hk/ir/Record/1783.1-97739 ; https://doi.org/10.14711/thesis-991012671057603412 ; http://repository.ust.hk/ir/bitstream/1783.1-97739/1/th_redirect.html

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


University of KwaZulu-Natal

2. Sinclair, Scott. Spatio-temporal rainfall estimation and nowcasting for flash flood forecasting.

Degree: PhD, Civil engineering, 2007, University of KwaZulu-Natal

 Floods cannot be prevented, but their devastating effects can be minimized if advance warning of the event is available. The South African Disaster Management Act… (more)

Subjects/Keywords: Civil engineering.; Nowcasting (Meteorology); Precipitation forecasting.; Flood forecasting.

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

APA (6th Edition):

Sinclair, S. (2007). Spatio-temporal rainfall estimation and nowcasting for flash flood forecasting. (Doctoral Dissertation). University of KwaZulu-Natal. Retrieved from http://hdl.handle.net/10413/2247

Chicago Manual of Style (16th Edition):

Sinclair, Scott. “Spatio-temporal rainfall estimation and nowcasting for flash flood forecasting.” 2007. Doctoral Dissertation, University of KwaZulu-Natal. Accessed April 22, 2021. http://hdl.handle.net/10413/2247.

MLA Handbook (7th Edition):

Sinclair, Scott. “Spatio-temporal rainfall estimation and nowcasting for flash flood forecasting.” 2007. Web. 22 Apr 2021.

Vancouver:

Sinclair S. Spatio-temporal rainfall estimation and nowcasting for flash flood forecasting. [Internet] [Doctoral dissertation]. University of KwaZulu-Natal; 2007. [cited 2021 Apr 22]. Available from: http://hdl.handle.net/10413/2247.

Council of Science Editors:

Sinclair S. Spatio-temporal rainfall estimation and nowcasting for flash flood forecasting. [Doctoral Dissertation]. University of KwaZulu-Natal; 2007. Available from: http://hdl.handle.net/10413/2247


University of Missouri – Columbia

3. DeWees, Todd A., 1979-. A hierarchical Bayesian mixture approach for modeling reflectivity fields with application to Nowcasting.

Degree: 2009, University of Missouri – Columbia

 [ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT REQUEST OF AUTHOR.] We study a hierarchical Bayesian framework for finite mixtures of distributions. We first consider… (more)

Subjects/Keywords: Bayesian statistical decision theory; Dirichlet principle; Radar meteorology; Reflectance; Nowcasting (Meteorology)

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

APA (6th Edition):

DeWees, Todd A., 1. (2009). A hierarchical Bayesian mixture approach for modeling reflectivity fields with application to Nowcasting. (Thesis). University of Missouri – Columbia. Retrieved from https://doi.org/10.32469/10355/9888

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):

DeWees, Todd A., 1979-. “A hierarchical Bayesian mixture approach for modeling reflectivity fields with application to Nowcasting.” 2009. Thesis, University of Missouri – Columbia. Accessed April 22, 2021. https://doi.org/10.32469/10355/9888.

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

MLA Handbook (7th Edition):

DeWees, Todd A., 1979-. “A hierarchical Bayesian mixture approach for modeling reflectivity fields with application to Nowcasting.” 2009. Web. 22 Apr 2021.

Vancouver:

DeWees, Todd A. 1. A hierarchical Bayesian mixture approach for modeling reflectivity fields with application to Nowcasting. [Internet] [Thesis]. University of Missouri – Columbia; 2009. [cited 2021 Apr 22]. Available from: https://doi.org/10.32469/10355/9888.

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

Council of Science Editors:

DeWees, Todd A. 1. A hierarchical Bayesian mixture approach for modeling reflectivity fields with application to Nowcasting. [Thesis]. University of Missouri – Columbia; 2009. Available from: https://doi.org/10.32469/10355/9888

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


Colorado State University

4. Ruzanski, Evan. Nowcasting for a high-resolution weather radar network.

Degree: PhD, Electrical and Computer Engineering, 2010, Colorado State University

 Short-term prediction (nowcasting) of high-impact weather events can lead to significant improvement in warnings and advisories and is of great practical importance. Nowcasting using weather… (more)

Subjects/Keywords: weather radar; weather forecasting; nowcasting; specific differential phase; prediction; Nowcasting (Meteorology); Meteorological satellites; Weather forecasting; Weather radar networks

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

APA (6th Edition):

Ruzanski, E. (2010). Nowcasting for a high-resolution weather radar network. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/45965

Chicago Manual of Style (16th Edition):

Ruzanski, Evan. “Nowcasting for a high-resolution weather radar network.” 2010. Doctoral Dissertation, Colorado State University. Accessed April 22, 2021. http://hdl.handle.net/10217/45965.

MLA Handbook (7th Edition):

Ruzanski, Evan. “Nowcasting for a high-resolution weather radar network.” 2010. Web. 22 Apr 2021.

Vancouver:

Ruzanski E. Nowcasting for a high-resolution weather radar network. [Internet] [Doctoral dissertation]. Colorado State University; 2010. [cited 2021 Apr 22]. Available from: http://hdl.handle.net/10217/45965.

Council of Science Editors:

Ruzanski E. Nowcasting for a high-resolution weather radar network. [Doctoral Dissertation]. Colorado State University; 2010. Available from: http://hdl.handle.net/10217/45965

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