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You searched for subject:(Nowcasting Meteorology ). Showing records 1 – 6 of 6 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 18, 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. 18 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 18]. 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 18, 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. 18 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 18]. 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 18, 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. 18 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 18]. 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 18, 2021. http://hdl.handle.net/10217/45965.

MLA Handbook (7th Edition):

Ruzanski, Evan. “Nowcasting for a high-resolution weather radar network.” 2010. Web. 18 Apr 2021.

Vancouver:

Ruzanski E. Nowcasting for a high-resolution weather radar network. [Internet] [Doctoral dissertation]. Colorado State University; 2010. [cited 2021 Apr 18]. 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


University of Oklahoma

5. Brewster, Keith A. Phase-correcting data assimilation and application to storm-scale weather prediction.

Degree: PhD, School of Meteorology, 1999, University of Oklahoma

 New observing systems such as the Oklahoma Mesonet, the NEXRAD Doppler radar network, and high resolution satellite data present the opportunity to make accurate numerical… (more)

Subjects/Keywords: Weather forecasting.; Nowcasting (Meteorology) Simulation methods.; Thunderstorm forecasting.; Engineering, Environmental.; Physics, Atmospheric Science.

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

APA (6th Edition):

Brewster, K. A. (1999). Phase-correcting data assimilation and application to storm-scale weather prediction. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/5855

Chicago Manual of Style (16th Edition):

Brewster, Keith A. “Phase-correcting data assimilation and application to storm-scale weather prediction.” 1999. Doctoral Dissertation, University of Oklahoma. Accessed April 18, 2021. http://hdl.handle.net/11244/5855.

MLA Handbook (7th Edition):

Brewster, Keith A. “Phase-correcting data assimilation and application to storm-scale weather prediction.” 1999. Web. 18 Apr 2021.

Vancouver:

Brewster KA. Phase-correcting data assimilation and application to storm-scale weather prediction. [Internet] [Doctoral dissertation]. University of Oklahoma; 1999. [cited 2021 Apr 18]. Available from: http://hdl.handle.net/11244/5855.

Council of Science Editors:

Brewster KA. Phase-correcting data assimilation and application to storm-scale weather prediction. [Doctoral Dissertation]. University of Oklahoma; 1999. Available from: http://hdl.handle.net/11244/5855


RMIT University

6. Yuan, Y. Real-time retrieval of precipitable water vapour from GNSS precise point positioning.

Degree: 2015, RMIT University

 Global Positioning System (GPS) meteorology (GPS-MET) as a novel approach for precipitable water vapour (PWV) sounding using ground-based GPS receivers has been conducted since earlier… (more)

Subjects/Keywords: Fields of Research; GPS meteorology; GNSS meteorology; Zenith total delay; Precipitable water vapour; Precise point positioning; Multiple GNSS; Tropospheric delay; Zenith wet delay; NTRIP; Numerical weather prediction; Weather nowcasting; Global Navigation Satellite System

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

APA (6th Edition):

Yuan, Y. (2015). Real-time retrieval of precipitable water vapour from GNSS precise point positioning. (Thesis). RMIT University. Retrieved from http://researchbank.rmit.edu.au/view/rmit:161611

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):

Yuan, Y. “Real-time retrieval of precipitable water vapour from GNSS precise point positioning.” 2015. Thesis, RMIT University. Accessed April 18, 2021. http://researchbank.rmit.edu.au/view/rmit:161611.

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

MLA Handbook (7th Edition):

Yuan, Y. “Real-time retrieval of precipitable water vapour from GNSS precise point positioning.” 2015. Web. 18 Apr 2021.

Vancouver:

Yuan Y. Real-time retrieval of precipitable water vapour from GNSS precise point positioning. [Internet] [Thesis]. RMIT University; 2015. [cited 2021 Apr 18]. Available from: http://researchbank.rmit.edu.au/view/rmit:161611.

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

Council of Science Editors:

Yuan Y. Real-time retrieval of precipitable water vapour from GNSS precise point positioning. [Thesis]. RMIT University; 2015. Available from: http://researchbank.rmit.edu.au/view/rmit:161611

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

.