Global ETD Search
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Showing 1 to 20 of 27 for “"NEXRAD"”.
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Delineating contributing areas for karst springs using NEXRAD data and cross-correlation analysis
… recharge locations on a karst aquifer. NEXRAD provides a spatial estimate of precipitation based by combining reflectivity measurements from radar stations and traditional precipitation gages. This study combines NEXRAD precipitation data with spring discharge data to develop maps of …
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Distributed Hydrologic Modeling of the Upper Roanoke River Watershed using GIS and NEXRAD
… derived from WSR-88D next generation radar (NEXRAD) products are used as precipitation inputs. Archives of NEXRAD Stage III data are decoded, spatially and temporally registered, and verified against archived IFLOWS rain gage data. Stage III data are systematically degraded to coarser …
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Rainfall patterns in a small-scale watershed based on NexRad and ground-based datasets
… was to analyze the ability of radar estimates (NexRad N1P) in representing the rainfall patterns in a small-scale watershed and generate high temporal and spatial resolution rainfall data when rainfall pattern was given. To achieve this objective, first, we compared the precipitation from NexRad …
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Spatial scale data requirements using NEXRAD (WSR-88D) for accurate hydrologic prediction in urban watersheds
The deployment of the WSR-88D (NEXRAD) radar by the National Weather Service in 1992 has created the possibility for enhancing flood warning systems. Due to the improved spatial resolution of the radar, a better hydrologic prediction is possible on a real-time basis. Rainfall rates can currently be …
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The Development and Deployment of a NEXRAD Education / Training Module for Use by General Aviation Pilots
… whether an education/ training module on NEXRAD and its products developed using Instructional Systems design criteria would be effective for General aviation pilots. Numerous studies have documented that General Aviation pilots are in need of additional education and training on weather …
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Event-based hydrologic model calibration using NEXRAD in a data-poor region of southern New Jersey
… models were developed and calibrated using NEXRAD data for the Upper Maurice River watershed in southern New Jersey, which contains the two growing urban areas of Vineland and Glassboro, to meet three objectives: (1) to validate that NEXRAD data can be effectively utilized in this region, …
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Effects of Gamification on Knowledge Acquisition: Aviation Weather Online Training
… pilots is underdeveloped, particularly for NEXRAD. In considering the competitive/ goal-oriented nature of pilots, gamification elements such as Achievements and Stories could best motivate pilots-in-training through elevated engagement and motivation. Therefore, the purpose of the current …
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Development and evaluation of a watershed-scale hybrid hydrologic model
… spatially distributed (Thiessen polygon and NEXRAD radar-based) precipitation data demonstrate relatively good fit against observed streamflow as well as improved fit in comparison with the outputs of spatially averaged rainfall data simulations as follows: (1) application with 24 single …
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An Analysis of SeaWinds Simultaneous Wind/Rain Retrieval in Severe Weather Events
… events is analyzed through comparison with the NEXRAD ground-based radar system. This comparison allows validation of retrieved rains. Additionally, conditions that affect the accuracy of SeaWinds wind/rain observations are evaluated. It is shown that, when thresholded, the rains retrieved by …
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Global estimation of precipitation using opaque microwave bands
… using data over the eastern U.S. from the NEXRAD ground-based radar network, and was validated through numerical comparisons with NEXRAD data and visual examination of the morphology of precipitation from over the eastern U.S. and around the world. It performed reasonably well over the …
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Integrating Multi-Source Weather Data for Deep Learning
… (AWS) [2]. Data sources include Next-Generation NEXRAD [3] Doppler radar reflectivity, GOES-16 [4] multi-channel satellite imagery and NCEI [1] storm events. Then, it integrates and refines data in proper formats to be fed to the open-source Detectron [5] Deep learning software package from …
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The Role of Topography on the 7 June 2012 Tornadic Supercell near Wheatland, WY
… Severe Weather Event Review, as well as the NCDC NEXRAD Data Inventory. The storm’s path was also tracked over the terrain of the region. There were high instability values and low shear values, as well as synoptic forcing, a front at the surface and a dryline. The conditions turned out to be …
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Tropical cyclone precipitation risk in the Southern United States
… from the WSR-88D Next Generation Weather Radar (NEXRAD-II) system. In general the synthetic TCP estimates show good agreement with radar-based observations. The rainfall algorithm appears to perform better at coastal locations versus inland ones, and in general has better agreement in the eastern …
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Flood Modeling and Community Engagement in Giles County, Virginia
… of runoff. Storm data was collected from the NEXRAD program and integrated into the runoff layer. Countywide maps of low, moderate and high risk were produced. Semi structured interviews were then conducted to gauge the usability of the maps within high risk areas. Interview feedback was …
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Dual-Doppler Derived Vorticity as a Predictor of Hail Size in Severe Thunderstorms
… (NWS) is to use a network of more than 150 NEXRAD radar installations to monitor weather for threats to life and property. Large hail produced by severe thunderstorms is a major focus of this mission. An algorithm known as the Maximum Estimated Size of Hail (MESH) algorithm is in operational …
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The development and validation of an X-band dual polarization Doppler weather radar test node for a tropical network
… troposphere where the National Weather Service NEXRAD radar in Cayey, PR (TJUA) has obstructed views of the west coast, below 1.5 km due to terrain blockage and the Earth curvature problem. The CSU-X25P radar test node was developed, validated, and deployed to Mayaguez, PR in early 2011 to make …
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Determining Best Method For Estimating Observed Level Of Maximum Convective Detrainment Based On Radar Reflectivity
… <p>This methodology was then applied to archived NEXRAD 3D mosaic radar data. The regions of analysis were chosen to coincide with the observation regions for the Deep Convective Clouds and Chemistry Experiment (DC3): the Colorado Foothills, Southern Plains (OK/TX), and Southeast US (AL). These …
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Cross validation of observations from the GPM dual-frequency precipitation radar and dual-polarization S-band ground radars
… carefully chosen. Ground validation operational NEXRAD sites have been considered from all over the USA. Comparison studies with research radars such as CSU-CHILL and NASA N-POL have also been conducted. The GPM satellite's profile classification module's products are also evaluated. Results from …
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Development of a Python-based Data Assimilation Framework (PyDAF). Case Study: Refining Ammonia Emissions Through Observation Data
… methods, using IASI, CrIS, satellite, and Nexrad radar data. For the validation, the Complex Variable Method and pseudo observations are employed. Applying PyDAF, we analyzed an ozone (O3) exceedance in Seoul on June 3, 2019, estimating contributions up to four days ahead. Korean emissions …
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Development of a Python-based Data Assimilation Framework (PyDAF). Case Study: Refining Ammonia Emissions Through Observation Data
… methods, using IASI, CrIS, satellite, and Nexrad radar data. For the validation, the Complex Variable Method and pseudo observations are employed. Applying PyDAF, we analyzed an ozone (O3) exceedance in Seoul on June 3, 2019, estimating contributions up to four days ahead. Korean emissions …
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