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Evaluation of power function approximation of NEXRAD and rain gauge based precipitation estimates
Title
Evaluation of power function approximation of NEXRAD and rain gauge based precipitation estimates.
Creator
Mayes-Fernandez, Mario., College of Engineering and Computer Science, Department of Civil, Environmental and Geomatics Engineering
Abstract/Description
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...
Show moreRadar 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.
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Date Issued
2009
PURL
http://purl.flvc.org/FAU/367761
Subject Headings
Radar meteorology, Technological innovations, Weather forecasting, Technological innovations, Precipitation (Meteorology), Measurement, Weather control, Mathematical models
Format
Document (PDF)
Development of functional relationships between radar and rain gage data using inductive modeling techniques
Title
Development of functional relationships between radar and rain gage data using inductive modeling techniques.
Creator
Peters, Delroy., College of Engineering and Computer Science, Department of Civil, Environmental and Geomatics Engineering
Abstract/Description
Traditional methods such as distance weighing, correlation and data driven methods have been used in the estimation of missing precipitation data. Also common is the use of radar (NEXRAD) data to provide better spatial distribution of precipitation as well as infilling missing rain gage data. Conventional regression models are often used to capture highly variant nonlinear spatial and temporal relationships between NEXRAD and rain gage data. This study aims to understand and model the...
Show moreTraditional methods such as distance weighing, correlation and data driven methods have been used in the estimation of missing precipitation data. Also common is the use of radar (NEXRAD) data to provide better spatial distribution of precipitation as well as infilling missing rain gage data. Conventional regression models are often used to capture highly variant nonlinear spatial and temporal relationships between NEXRAD and rain gage data. This study aims to understand and model the relationships between radar (NEXRAD) estimated rainfall data and the data measured by conventional rain gages. The study is also an investigation into the use of emerging computational data modeling (inductive) techniques and mathematical programming formulations to develop new optimal functional approximations. Radar based rainfall data and rain gage data are analyzed to understand the spatio-temporal associations, as well as the effect of changes in the length or availability of data on the models. The upper and lower Kissimmee basins of south Florida form the test-bed to evaluate the proposed and developed approaches and also to check the validity and operational applicability of these functional relationships among NEXRAD and rain gage data for infilling of missing data.
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Date Issued
2008
PURL
http://purl.flvc.org/FAU/166454
Subject Headings
Weather control, Mathematical models, Radar meteorology, Technological innovations, Precipitation (Meteorology), Measurement, Weather forecasting, Technological innovations
Format
Document (PDF)
Developing a Relationship between NEXRAD Generated Rainfall Values and Rain Gauge Measurements in South Florida
Title
Developing a Relationship between NEXRAD Generated Rainfall Values and Rain Gauge Measurements in South Florida.
Creator
Skinner, Courtney L., Bloetscher, Frederick, Florida Atlantic University, College of Engineering and Computer Science, Department of Civil, Environmental and Geomatics Engineering
Abstract/Description
The South Florida Water Management District (SFWMD) is an agency which relies on a network of nearly 300 rain gauges in order to provide rainfall data for use in operations, modeling, water supply planning, and environmental projects. However, the prevalence of convective and tropical rain events in South Florida during the wet season presents a challenge in that the current rain gauge network may not fully capture rainfall demonstrating high spatial variability. NEXRAD (Next Generation Radar...
Show moreThe South Florida Water Management District (SFWMD) is an agency which relies on a network of nearly 300 rain gauges in order to provide rainfall data for use in operations, modeling, water supply planning, and environmental projects. However, the prevalence of convective and tropical rain events in South Florida during the wet season presents a challenge in that the current rain gauge network may not fully capture rainfall demonstrating high spatial variability. NEXRAD (Next Generation Radar) technology offers water management officials the advantage of providing a spatial account of rainfall, although the relative quality of radar rainfall measurements remains largely unknown. The intent of this study is to examine the relationship between gauge-adjusted NEXRAD data and corresponding rain gauge measurements in order to assess the relative performance of radar and rain gauge technologies for a variety of different conditions.
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Date Issued
2006
PURL
http://purl.flvc.org/fau/fd/FA00012554
Subject Headings
Storms--United States--Florida, Radar meteorology, Precipitation (Meteorology)--Measurement, Rain and rainfall--Measurement
Format
Document (PDF)