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Title: ESTIMATING MISSING PRECIPITATION RECORDS USING TREE-BASED APPROACHES.
Creator: Nguyen, Thu, Teegavarapu, Ramesh S. V., Florida Atlantic University, Department of Civil, Environmental and Geomatics Engineering, College of Engineering and Computer Science
Abstract/Description: Missing rainfall records happens frequently in many areas, and making precipitation estimation has been a challenge due to the spatial-temporal variability of the parameter. Model tree (MT), regression tree (RT), and ensemble approach models were developed and evaluated for estimating missing precipitation values in this research study. The selection of stations using correlation coefficient and similar distribution, and variation of data used to build the model were applied in this study....
Show moreMissing rainfall records happens frequently in many areas, and making precipitation estimation has been a challenge due to the spatial-temporal variability of the parameter. Model tree (MT), regression tree (RT), and ensemble approach models were developed and evaluated for estimating missing precipitation values in this research study. The selection of stations using correlation coefficient and similar distribution, and variation of data used to build the model were applied in this study. Proposed models were developed and tested using daily rainfall data from 1971 to 2016 at twenty-two stations in Kentucky, U.S.A. The model results were analyzed and evaluated using error and performance measures. The results indicated that MT-based and ensemble models produce a better estimation of missing rainfall than regression trees. The MT-based model was able to estimate missing rainfall accurately without needing objective selection of stations and using minimal calibration data to build the model.
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Date Issued: 2024
PURL: http://purl.flvc.org/fau/fd/FA00014414
Subject Headings: Precipitation (Meteorology), Estimating techniques, Missing data (Statistics)
Format: Document (PDF)

Title: Assessment of extreme precipitation events in florida during amo (atlantic multi-decadal oscillation) phases.
Creator: Goly, Aneesh, Teegavarapu, Ramesh, Graduate College
Date Issued: 2011-04-08
PURL: http://purl.flvc.org/fcla/dt/3164531
Subject Headings: Precipitation (Meteorology), Ocean circulation --North Atlantic Ocean, Rain gauges --Evaluation
Format: Document (PDF)

Title: Evaporation and the precipitation-evaporation balance in Florida Bay.
Creator: Smith, Ned P.
Date Issued: 2000
PURL: http://purl.flvc.org/FCLA/DT/3183164
Subject Headings: Hydrologic cycle, Florida Bay (Fla.), Evaporation, Precipitation (Meteorology)
Format: Document (PDF)

Title: REGULARIZATION MODELS FOR IMPUTATION OF MISSING PRECIPITATION DATA.
Creator: Azad, Anika, Teegavarapu, Ramesh S. V., Florida Atlantic University, Department of Civil, Environmental and Geomatics Engineering, College of Engineering and Computer Science
Abstract/Description: This study focuses on developing optimization models to estimate missing precipitation data at twenty-two sites within Kentucky State. Various optimization formulations and regularization models are explored in this context. The performance of these models is evaluated using a range of performance measures and error metrics for handling missing records. The findings revealed that regularization models performed better than optimization models. This superiority is attributed to their ability...
Show moreThis study focuses on developing optimization models to estimate missing precipitation data at twenty-two sites within Kentucky State. Various optimization formulations and regularization models are explored in this context. The performance of these models is evaluated using a range of performance measures and error metrics for handling missing records. The findings revealed that regularization models performed better than optimization models. This superiority is attributed to their ability to reduce model complexity while enhancing overall performance. The study underscores the significance of regularization techniques in improving the accuracy and efficiency of precipitation data estimation.
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Date Issued: 2024
PURL: http://purl.flvc.org/fau/fd/FA00014432
Subject Headings: Rain and rainfall, Precipitation (Meteorology), Missing data (Statistics), Machine learning
Format: Document (PDF)

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)

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)

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)

Title: Evaluation of optimal real-time reflectivity-rainfall rate (Z-R) functional relationships.
Creator: Pattani, Kandarp., College of Engineering and Computer Science, Department of Civil, Environmental and Geomatics Engineering
Abstract/Description: Accuracy in estimation of precipitation can be achieved by utilizing the combination of spatial radar reflectivity data (Z) and the high resolution temporal rain gage based rainfall data (R). The study proposes the use of optimization models for optimizing the Z-R coefficients and exponents for different storm types and seasons. Precipitation data based on reflectivity, collected from National Climatic Data Center (NCDC) and rain gage data from Southwest Florida Water Management District ...
Show moreAccuracy in estimation of precipitation can be achieved by utilizing the combination of spatial radar reflectivity data (Z) and the high resolution temporal rain gage based rainfall data (R). The study proposes the use of optimization models for optimizing the Z-R coefficients and exponents for different storm types and seasons. Precipitation data based on reflectivity, collected from National Climatic Data Center (NCDC) and rain gage data from Southwest Florida Water Management District (SWFWMD) over same temporal resolutions were analyzed using the Rain-Radar- Retrieval (R3) system developed as a part of the study. Optimization formulations are proposed to obtain optimal coefficients and exponents in the Z-R relationships for different seasons and objective selection of storm-type specific Z-R relationships. Different approaches in selection of rain gage stations and selection of events for optimization are proposed using gradient based solver and genetic algorithms.
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Date Issued: 2010
PURL: http://purl.flvc.org/FAU/2978946
Subject Headings: Precipitation (Meteorology), Measurement, Rain and rainfall, Measurement, Reflectance, Rainfall intensity duration frequencies
Format: Document (PDF)

Title: Influences of decadal and multi-decadal oscillations on regional precipitation extremes and characteristics.
Creator: Pierce, Milla, Teegavarapu, Ramesh, College of Engineering and Computer Science, Department of Civil, Environmental and Geomatics Engineering
Abstract/Description: Three major teleconnections, Atlantic Multidecadal Oscillation (AMO), North Atlantic Oscillation (NAO), and the Pacific Decadal Oscillation (PDO), in warm and cool phases, effect precipitation in Florida. The effects of the oscillation phases on the precipitation characteristics are analyzed by using long-term daily precipitation data, on different temporal (annual, monthly, and daily) and spatial scales, utilizing numerous indices, and techniques. Long-term extreme precipitation data for 9...
Show moreThree major teleconnections, Atlantic Multidecadal Oscillation (AMO), North Atlantic Oscillation (NAO), and the Pacific Decadal Oscillation (PDO), in warm and cool phases, effect precipitation in Florida. The effects of the oscillation phases on the precipitation characteristics are analyzed by using long-term daily precipitation data, on different temporal (annual, monthly, and daily) and spatial scales, utilizing numerous indices, and techniques. Long-term extreme precipitation data for 9 different durations is used to examine the effects of the oscillation phases on the rainfall extremes, by employing different parametric and non-parametric statistical tests, along with Depth-Duration- Frequency analysis. Results show that Florida will experience higher rainfall when AMO is in the warm phase, except in the panhandle and south Florida, while PDO cool phase is positively correlated with precipitation, except for the southern part of the peninsula.
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Date Issued: 2013
PURL: http://purl.flvc.org/fau/fd/FA0004046
Subject Headings: Climatic change -- Environmental aspects, Climatic extremes, Hydrologic models, Hydrometeorology, Precipitation (Meteorology) -- Measurement
Format: Document (PDF)

Title: Assessment of Changes in Precipitation Data Characteristics due to Infilling by Spatially Interpolated Estimates.
Creator: Hachmi, Mohammad, Teegavarapu, Ramesh, Florida Atlantic University, College of Engineering and Computer Science, Department of Civil, Environmental and Geomatics Engineering
Abstract/Description: Spatial and temporal interpolation methods are commonly used methods for estimating missing precipitation rain gauge data based on values recorded at neighboring gauges. However, these interpolation methods have not been comprehensively checked for their ability to preserve time series characteristics. Assessing the preservation of time series characteristics helps achieving a threshold criteria of length of gaps in a data set that is acceptable to be filled. This study evaluates the efficacy...
Show moreSpatial and temporal interpolation methods are commonly used methods for estimating missing precipitation rain gauge data based on values recorded at neighboring gauges. However, these interpolation methods have not been comprehensively checked for their ability to preserve time series characteristics. Assessing the preservation of time series characteristics helps achieving a threshold criteria of length of gaps in a data set that is acceptable to be filled. This study evaluates the efficacy of optimal weighting interpolation for estimation of missing data in preserving time series characteristics. Rain gauges in the state of Kentucky are used as a case study. Several model performance measures are also evaluated to validate the filling model; followed by time series characteristics to evaluate the accuracy of estimation and preservation of precipitation data characteristics. This study resulted in a definition of region-specific threshold of the maximum length of gaps allowed in a data set at five percent.
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Date Issued: 2016
PURL: http://purl.flvc.org/fau/fd/FA00004783, http://purl.flvc.org/fau/fd/FA00004783
Subject Headings: Precipitation (Meteorology), Spatial analysis (Statistics), Geographic information systems--Mathematical models., Climatic changes--Environmental aspects., Functions of real variables.
Format: Document (PDF)

Title: Influences of climate variability and change on precipitation characteristics and extremes.
Creator: Goly, Aneesh, College of Engineering and Computer Science, Department of Civil, Environmental and Geomatics Engineering
Abstract/Description: This study focuses on two main broad areas of active research on climate: climate variability and climate change and their implications on regional precipitation characteristics. All the analysis is carried out for a climate change-sensitive region, the state of Florida, USA. The focus of the climate variability analysis is to evaluate the influence of individual and coupled phases (cool and warm) of Atlantic multidecadal oscillation (AMO) and El Niäno southern oscillation (ENSO) on regional...
Show moreThis study focuses on two main broad areas of active research on climate: climate variability and climate change and their implications on regional precipitation characteristics. All the analysis is carried out for a climate change-sensitive region, the state of Florida, USA. The focus of the climate variability analysis is to evaluate the influence of individual and coupled phases (cool and warm) of Atlantic multidecadal oscillation (AMO) and El Niäno southern oscillation (ENSO) on regional precipitation characteristics. The two oscillations in cool and warm phases modulate each other which have implications on flood control and water supply in the region. Extreme precipitation indices, temporal distribution of rainfall within extreme storm events, dry and wet spell transitions and antecedent conditions preceding extremes are evaluated. Kernel density estimates using Gaussian kernel for distribution-free comparative analysis and bootstrap sampling-based confidence intervals are used to compare warm and cool phases of different lengths. Depth-duration-frequency (DDF) curves are also developed using generalized extreme value (GEV) distributions characterizing the extremes. ... This study also introduces new approaches to optimally select the predictor variables which help in modeling regional precipitation and further provides a mechanism to select an optimum spatial resolution to downscale the precipitation projections. New methods for correcting the biases in monthly downscaled precipitation projections are proposed, developed and evaluated in this study. The methods include bias corrections in an optimization framework using various objective functions, hybrid methods based on universal function approximation and new variants.
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Date Issued: 2013
PURL: http://purl.flvc.org/fcla/dt/3362383
Subject Headings: Climatic changes, Environmental aspects, Global temperature changes, Environmental aspects, Precipitation (Meteorology), Measurement, Bootstrap (Statistics)
Format: Document (PDF)

FAU Theses and Dissertations (9)	+ -
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Precipitation (Meteorology) (9)	+ -
Measurement (4)	+ -
Radar meteorology (3)	+ -
Mathematical models (2)	+ -
Missing data (Statistics) (2)	+ -

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