Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 95 for “"Precipitation Data"”.
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Long Term Ground Based Precipitation Data Analysis: Spatial and Temporal Variability
… by using modeled and gauge (in-situ/ground) precipitation measurements and various climate indices. Three scientific studies were conducted as part of this research for evaluation of spatial and temporal ENSO events from modeled and gauge data using: 1) Wavelets 2) …
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Ireland’s pre-1940 daily precipitation data: data rescue, quality assurance and analysis of extremes
… records is limited, yet a wealth of data remains in paper or image form in numerous archives. This research presents daily rainfall data and metadata for Ireland transcribed from historical manuscripts and printed copies of rainfall registers located in Met Éireann's archives. To …
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Assessment of the PMPs and Design Storms Estimated from the IMERG Satellite Precipitation Data
… Multi-satellite Retrievals for Global (IMERG) precipitation dataset to estimate probable maximum precipitation (PMP) at pixel and watershed levels, and to model design storms. The IMERG data provides an opportunity to extend PMPs and design storms in data-scarce locations. This dissertation …
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Assessing the Reliability of Integrating global data with the GEOframe-NewAGE hydrological model
Ground-based precipitation measurements are essential for meteorological and hydrological studies; however, they face challenges such as spatial variability, limited coverage, and instrument precision. In contrast, global precipitation products derived from Earth observation (EO) and reanalysis …
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Delineating contributing areas for karst springs using NEXRAD data and cross-correlation analysis
… analysis on spring discharge and precipitation data in karst aquifer basins has been used for many years to develop a conceptual understanding of an aquifer and estimate aquifer properties. However, to this point, the application of these processes has relied on gaged precipitation …
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Evaluation of Green Stormwater Infrastructure Monitoring Protocols
… lead to inconsistent results and inconclusive data. This study aims to synthesize essential components of a GSI monitoring program based on a review of existing programs (Technology Assessment Protocol – Ecology [TAPE], Technology Assessment Reciprocity Partnership [TARP], etc.). Data from past …
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Event-based hydrologic model calibration using NEXRAD in a data-poor region of southern New Jersey
… requires both reliable observed stream flow and precipitation data. Southern New Jersey has a notable lack of observed precipitation data, in particular, at the event scale; therefore model calibration represents a significant challenge. From a design standpoint this has not been a major concern …
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Deep Learning Architectures for Improving Weather Research and Forecasting (WRF) Precipitation Estimates and Landslide Susceptibility Mapping: A Case Study of Puerto Rico
<p>Precipitation is a critical factor in the Earth’s hydrological cycle and has a profound impact on various environmental and socioeconomic systems, including management of water resources, flood forecasting, and the evaluation of natural hazards, particularly those associated with …
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Improving Rainfall Index Insurance: Evaluating Effects of Fine-Scale Data and Interactive Tools in the PRF-RI Program
… part, we evaluated the impact of finer-scale precipitation data on insurance payouts by comparing how the payout distribution differs between the program's current dataset and the finer-scale precipitation dataset by creating a simulated scenario where all parameters are constant except the …
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Stochastic Modelling of Heavy-Tailed Precipitations in Canadian Prairies
The statistical modelling of extreme precipitation structures is essential in many aspects such as assessing and managing risks resulting from the occurrence of such extreme events for agricultural purposes, in particular. Typically, daily precipitation time series with many zero (on dry days) and …
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Modelo paramétrico para extensão de deflúvios mensais
… for extension of short-term monthly streamflow data using monthly precipitation data of a set of stations inside the basin with longer record is presented. The model oriented to digital computation consists of two parts: one for self-optimization of the parameters, and another for extension of …
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Changes in hydrological extremes and climate variability in the Severn Uplands
… a<br/>significant increase in winter and autumn precipitation and a decrease in summer<br/>precipitation. The analysis of flow time-series indicated an increase in winter and July<br/>flows and a decrease in spring flows. Changes in climate variability over the same period<br/>showed increases in …
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Ecosystem Net Primary Production Responses to Changes in Precipitation Using an Annual Integrated MODIS EVI
… net primary productivity (ANPP) with precipitation using the enhanced vegetation index (EVI) from satellite data as surrogate for ANPP was assessed. To use EVI as a proxy for ANPP we extracted the satellite data from areas with uniform vegetation in a 2x2 km area for the multi-site …
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Reservoir yield estimates with consideration of uncertainty in used data in Illinois
… of associated uncertainties in used data. Errors exist in inflow, reservoir capacity, evaporation and precipitation data and contribute to the overall uncertainty in reservoir yield estimates. Before combining optimization with Monte Carlo simulation, errors of each data category are …
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The use of a distributed hydrologic model to predict dynamic landslide susceptibility for a humid basin in Puerto Rico
… meteorological and historic landslide data available. The basin was parameterized into the TIN-based Real-time Integrated Basin Simulator (tRIBS) with particular emphasis on vegetation parameters for broadleaf evergreen trees in tropical climates. The basin was forced with precipitation …
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NON-PARAMETRIC STATISTICAL APPROACH TO CORRECT SATELLITE RAINFALL DATA IN NEAR-REAL-TIME FOR RAIN BASED FLOOD NOWCASTING
… or early warning systems which run on real- time precipitation data are becoming more popular as they give reliable forecasts compared to traditional flood forecasting systems. However, these kinds of systems are often limited to developed countries as they need well distributed gauging station …
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Application of Neural Network Techniques to Downscale Precipitation
… to accurately predict climate variables such as precipitation. This study utilized Artificial Neural Networks (ANN) and Hybrid Support Vector Regression (HSVR) methods to predict precipitation at a finer grid, based on the data from a coarse grid. Precipitation data for three stations (Dhaka, …
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