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You searched for subject:(quantitative precipitation estimation). Showing records 1 – 6 of 6 total matches.

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University of Oklahoma

1. Wen, Yixin. TOWARDS IMPROVED QPE BY CAPITALIZING GROUND- AND SPACE- BASED PRECIPITATION MEASUREMENTS.

Degree: PhD, 2015, University of Oklahoma

 There are primarily two types of weather radar systems offering precipitation measurements covering relatively large areas: (1) Ground-based Radar (GR) networks such as the NEXRAD… (more)

Subjects/Keywords: Meteorology; Remote Sensing; Quantitative Precipitation Estimation

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

APA (6th Edition):

Wen, Y. (2015). TOWARDS IMPROVED QPE BY CAPITALIZING GROUND- AND SPACE- BASED PRECIPITATION MEASUREMENTS. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/14634

Chicago Manual of Style (16th Edition):

Wen, Yixin. “TOWARDS IMPROVED QPE BY CAPITALIZING GROUND- AND SPACE- BASED PRECIPITATION MEASUREMENTS.” 2015. Doctoral Dissertation, University of Oklahoma. Accessed February 27, 2021. http://hdl.handle.net/11244/14634.

MLA Handbook (7th Edition):

Wen, Yixin. “TOWARDS IMPROVED QPE BY CAPITALIZING GROUND- AND SPACE- BASED PRECIPITATION MEASUREMENTS.” 2015. Web. 27 Feb 2021.

Vancouver:

Wen Y. TOWARDS IMPROVED QPE BY CAPITALIZING GROUND- AND SPACE- BASED PRECIPITATION MEASUREMENTS. [Internet] [Doctoral dissertation]. University of Oklahoma; 2015. [cited 2021 Feb 27]. Available from: http://hdl.handle.net/11244/14634.

Council of Science Editors:

Wen Y. TOWARDS IMPROVED QPE BY CAPITALIZING GROUND- AND SPACE- BASED PRECIPITATION MEASUREMENTS. [Doctoral Dissertation]. University of Oklahoma; 2015. Available from: http://hdl.handle.net/11244/14634


Universitat Politècnica de Catalunya

2. Llort Pavon, Xavier. A study of the structure of radar rainfall and its errors.

Degree: Departament d'Enginyeria del Terreny, Cartogràfica i Geofísica, 2010, Universitat Politècnica de Catalunya

 The principal objectives of this thesis are two: on one hand study the structure of the precipitation’s variability at different spatial and temporal scales, and… (more)

Subjects/Keywords: Meteorological radar; Apceborne radar; Precipitation;  Downscaling;  Quantitative precipitation estimation;  Error structure; 624

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APA (6th Edition):

Llort Pavon, X. (2010). A study of the structure of radar rainfall and its errors. (Thesis). Universitat Politècnica de Catalunya. Retrieved from http://hdl.handle.net/10803/77917

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):

Llort Pavon, Xavier. “A study of the structure of radar rainfall and its errors.” 2010. Thesis, Universitat Politècnica de Catalunya. Accessed February 27, 2021. http://hdl.handle.net/10803/77917.

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

MLA Handbook (7th Edition):

Llort Pavon, Xavier. “A study of the structure of radar rainfall and its errors.” 2010. Web. 27 Feb 2021.

Vancouver:

Llort Pavon X. A study of the structure of radar rainfall and its errors. [Internet] [Thesis]. Universitat Politècnica de Catalunya; 2010. [cited 2021 Feb 27]. Available from: http://hdl.handle.net/10803/77917.

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

Council of Science Editors:

Llort Pavon X. A study of the structure of radar rainfall and its errors. [Thesis]. Universitat Politècnica de Catalunya; 2010. Available from: http://hdl.handle.net/10803/77917

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


Colorado State University

3. Chen, Haonan. Quantitative precipitation estimation for an X-band weather radar network.

Degree: MS(M.S.), Electrical and Computer Engineering, 2013, Colorado State University

 Currently, the Next Generation (NEXRAD) radar network, a joint effort of the U.S. Department of Commerce (DOC), Defense (DOD), and Transportation (DOT), provides radar data… (more)

Subjects/Keywords: polarimetric radar; specific differential phase (KDP) estimation; radar network; quantitative precipitation estimation

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APA (6th Edition):

Chen, H. (2013). Quantitative precipitation estimation for an X-band weather radar network. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/79026

Chicago Manual of Style (16th Edition):

Chen, Haonan. “Quantitative precipitation estimation for an X-band weather radar network.” 2013. Masters Thesis, Colorado State University. Accessed February 27, 2021. http://hdl.handle.net/10217/79026.

MLA Handbook (7th Edition):

Chen, Haonan. “Quantitative precipitation estimation for an X-band weather radar network.” 2013. Web. 27 Feb 2021.

Vancouver:

Chen H. Quantitative precipitation estimation for an X-band weather radar network. [Internet] [Masters thesis]. Colorado State University; 2013. [cited 2021 Feb 27]. Available from: http://hdl.handle.net/10217/79026.

Council of Science Editors:

Chen H. Quantitative precipitation estimation for an X-band weather radar network. [Masters Thesis]. Colorado State University; 2013. Available from: http://hdl.handle.net/10217/79026


University of Exeter

4. René, Jeanne-Rose Christelle. Probabilistic real-time urban flood forecasting based on data of varying degree of quality and quantity.

Degree: PhD, 2014, University of Exeter

 This thesis provides a basic framework for probabilistic real-time urban flood forecasting based on data of varying degree of quality and quantity. The framework was… (more)

Subjects/Keywords: 363.34; data quality; real-time; urban flood forecasting framework; uncertainty estimation; quantitative precipitation forecast

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

APA (6th Edition):

René, J. C. (2014). Probabilistic real-time urban flood forecasting based on data of varying degree of quality and quantity. (Doctoral Dissertation). University of Exeter. Retrieved from http://hdl.handle.net/10871/16510

Chicago Manual of Style (16th Edition):

René, Jeanne-Rose Christelle. “Probabilistic real-time urban flood forecasting based on data of varying degree of quality and quantity.” 2014. Doctoral Dissertation, University of Exeter. Accessed February 27, 2021. http://hdl.handle.net/10871/16510.

MLA Handbook (7th Edition):

René, Jeanne-Rose Christelle. “Probabilistic real-time urban flood forecasting based on data of varying degree of quality and quantity.” 2014. Web. 27 Feb 2021.

Vancouver:

René JC. Probabilistic real-time urban flood forecasting based on data of varying degree of quality and quantity. [Internet] [Doctoral dissertation]. University of Exeter; 2014. [cited 2021 Feb 27]. Available from: http://hdl.handle.net/10871/16510.

Council of Science Editors:

René JC. Probabilistic real-time urban flood forecasting based on data of varying degree of quality and quantity. [Doctoral Dissertation]. University of Exeter; 2014. Available from: http://hdl.handle.net/10871/16510


Colorado State University

5. Chen, Haonan. Radar and satellite observations of precipitation: space time variability, cross-validation, and fusion.

Degree: PhD, Electrical and Computer Engineering, 2017, Colorado State University

 Rainfall estimation based on satellite measurements has proven to be very useful for various applications. A number of precipitation products at multiple time and space… (more)

Subjects/Keywords: machine learning; remote sensing; weather radar network; quantitative precipitation estimation (QPE); dual-polarization radar; satellite

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

APA (6th Edition):

Chen, H. (2017). Radar and satellite observations of precipitation: space time variability, cross-validation, and fusion. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/185786

Chicago Manual of Style (16th Edition):

Chen, Haonan. “Radar and satellite observations of precipitation: space time variability, cross-validation, and fusion.” 2017. Doctoral Dissertation, Colorado State University. Accessed February 27, 2021. http://hdl.handle.net/10217/185786.

MLA Handbook (7th Edition):

Chen, Haonan. “Radar and satellite observations of precipitation: space time variability, cross-validation, and fusion.” 2017. Web. 27 Feb 2021.

Vancouver:

Chen H. Radar and satellite observations of precipitation: space time variability, cross-validation, and fusion. [Internet] [Doctoral dissertation]. Colorado State University; 2017. [cited 2021 Feb 27]. Available from: http://hdl.handle.net/10217/185786.

Council of Science Editors:

Chen H. Radar and satellite observations of precipitation: space time variability, cross-validation, and fusion. [Doctoral Dissertation]. Colorado State University; 2017. Available from: http://hdl.handle.net/10217/185786

6. McKee, Jack L. Evaluation of gauge-radar merging methods for quantitative precipitation estimation in hydrology: a case study in the Upper Thames River basin.

Degree: 2015, University of Western Ontario

 Hydrological models rely on accurate precipitation data in order to produce results with a high degree of confidence and serve as valuable flood forecasting and… (more)

Subjects/Keywords: Water resources; quantitative precipitation estimation; weather radar; rain gauge; gauge-radar merging; hydrology; hydrological modelling; Environmental Engineering

…100 6.1 Gauge-radar merging methods for quantitative precipitation estimation… …Peak Weighted Root Mean Square Error Quantitative Precipitation Estimation Rain Gauge Only… …merging methods for quantitative precipitation estimation; (2) evaluate the effect of… …for quantitative precipitation estimation (QPE) for use in hydrological models… …43 Table 4: Error statistics of all estimation techniques for hourly rainfall accumulations… 

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

APA (6th Edition):

McKee, J. L. (2015). Evaluation of gauge-radar merging methods for quantitative precipitation estimation in hydrology: a case study in the Upper Thames River basin. (Thesis). University of Western Ontario. Retrieved from https://ir.lib.uwo.ca/etd/3042

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):

McKee, Jack L. “Evaluation of gauge-radar merging methods for quantitative precipitation estimation in hydrology: a case study in the Upper Thames River basin.” 2015. Thesis, University of Western Ontario. Accessed February 27, 2021. https://ir.lib.uwo.ca/etd/3042.

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

MLA Handbook (7th Edition):

McKee, Jack L. “Evaluation of gauge-radar merging methods for quantitative precipitation estimation in hydrology: a case study in the Upper Thames River basin.” 2015. Web. 27 Feb 2021.

Vancouver:

McKee JL. Evaluation of gauge-radar merging methods for quantitative precipitation estimation in hydrology: a case study in the Upper Thames River basin. [Internet] [Thesis]. University of Western Ontario; 2015. [cited 2021 Feb 27]. Available from: https://ir.lib.uwo.ca/etd/3042.

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

Council of Science Editors:

McKee JL. Evaluation of gauge-radar merging methods for quantitative precipitation estimation in hydrology: a case study in the Upper Thames River basin. [Thesis]. University of Western Ontario; 2015. Available from: https://ir.lib.uwo.ca/etd/3042

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

.