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Evaluation of power function approximation of NEXRAD and rain gauge based precipitation estimates
- Date Issued:
- 2009
- Summary:
- Radar rainfall estimates have become a decision making tool for scientists, engineers and water managers in their tasks for developing hydrologic models, water supply planning, restoration of ecosystems, and flood control. In the present study, the utility of a power function for linking the rain gauge and radar estimates has been assessed. Mean daily rainfall data from 163 rain gauges installed within the South Florida Water Management District network have been used and their records from January 1st, 2002 to October 31st, 2007 analyzed. Results indicate that the power function coefficients and exponents obtained by using a non-linear optimization formulation, show spatial variability mostly affected by type of rainfall events occurring in the dry or wet seasons, and that the linear distance from the radar location to the rain gauge has a significant effect on the computed values of the coefficients and exponents.
Title: | Evaluation of power function approximation of NEXRAD and rain gauge based precipitation estimates. |
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Name(s): |
Mayes-Fernandez, Mario. College of Engineering and Computer Science Department of Civil, Environmental and Geomatics Engineering |
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Type of Resource: | text | |
Genre: | Electronic Thesis Or Dissertation | |
Date Issued: | 2009 | |
Publisher: | Florida Atlantic University | |
Physical Form: | electronic | |
Extent: | xv, 160 p. : ill. (some col.) | |
Language(s): | English | |
Summary: | Radar rainfall estimates have become a decision making tool for scientists, engineers and water managers in their tasks for developing hydrologic models, water supply planning, restoration of ecosystems, and flood control. In the present study, the utility of a power function for linking the rain gauge and radar estimates has been assessed. Mean daily rainfall data from 163 rain gauges installed within the South Florida Water Management District network have been used and their records from January 1st, 2002 to October 31st, 2007 analyzed. Results indicate that the power function coefficients and exponents obtained by using a non-linear optimization formulation, show spatial variability mostly affected by type of rainfall events occurring in the dry or wet seasons, and that the linear distance from the radar location to the rain gauge has a significant effect on the computed values of the coefficients and exponents. | |
Identifier: | 492110250 (oclc), 367761 (digitool), FADT367761 (IID), fau:4241 (fedora) | |
Note(s): |
by Mario Mayes-Fernandez. Thesis (M.S.C.S.)--Florida Atlantic University, 2009. Includes bibliography. Electronic reproduction. Boca Raton, Fla., 2009. Mode of access: World Wide Web. |
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Subject(s): |
Radar meteorology -- Technological innovations Weather forecasting -- Technological innovations Precipitation (Meteorology) -- Measurement Weather control -- Mathematical models |
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Persistent Link to This Record: | http://purl.flvc.org/FAU/367761 | |
Use and Reproduction: | http://rightsstatements.org/vocab/InC/1.0/ | |
Host Institution: | FAU |