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Category Archives: Research
UNC-Chapel Hill’s RENCI and CRC unveil new streamlined APSViz user interface for hurricane impacts and visualization
APSViz could be a key resource for state and federal stakeholders and response teams as Atlantic Ocean heats up The 2024 Atlantic Ocean hurricane season started off with Hurricane Beryl, an intense Category 5 storm that caused much damage along its path through the Caribbean region before weakening and making a final landfall along the […]
Posted in Blog, Earth Data Science
Tagged APSViz, Earth Data Science, EDS
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EduHeLx
EduHeLx was born out of HeLx as an education-focused instance providing cloud-based programming. EduHeLx has been deployed in the UNC-Chapel Hill courses, COMP116: Introduction to Scientific Programming and CHIP690: Foundations of Clinical Data Science, successfully enabling students to code in the cloud. In the same ways that HeLx is designed to be a flexible and […]
Posted in Computing & Networking, Research
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RENCI strengthens storm surge response capabilities
APSViz provides critical, high-resolution coastal hazards information to expedite decision-making and productivity On September 28, 2022, Hurricane Ian made landfall along the west coast of Florida as a Category 4 hurricane–the strongest Category 4 hurricane to hit the region since Hurricane Charley in 2004–causing substantial damage from strong winds and the resulting storm surge and […]
Posted in Blog, Earth Data Science, Link
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Critical-Zone Collaborative Network (CZCN Hub)
Overview The goal of the Critical-Zone Collaborative Network is to establish an adaptive and responsive research network that supports investigations of the Earth’s Critical Zone (CZ). This network will consist of two components that will work together to advance knowledge, education, and outreach in this convergent science: 1) Thematic Clusters of fixed or temporary locations […]
Posted in Computing & Networking, Research
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Network Research and Infrastructure
Posted in Network Research and Infrastructure, Research
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Further Development of AI Tool for Extraction of Roadside Hazards from Videolog Data and LIDAR
Overview During a successful collaboration between NC DOT, UNC Highway Safety Research Center, and Volpe Transportation Systems Center, RENCI created a prototype AI system for locating Roadside hazards along rural roads in North Carolina. This project extends that work to extract geometric information from a combined videolog and LIDAR data package to create actionable information […]
Posted in Data Science and Analytics, Research
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Forecasting Coastal Impacts from Tropical Cyclones along the US East and Gulf Coasts using the ADCIRC Prediction System
Overview Over the past two decades ADCIRC (http://adcirc.org) has become one of, if not the most widely used community modeling platform for storm surge / coastal flooding predictions across academia, governmental agencies and the private sector. The ADCIRC Prediction System (APS) manages ADCIRC on HPC resources for real-time computation of coastal hazards. This project is […]
Posted in Earth Data Science, Research
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A Multi-decadal Coastal Water Level Model Reanalysis for Coastal Inundation and Flood Risk Assessment
Overview The Renaissance Computing Institute (RENCI) at The University of North Carolina at Chapel Hill is conducting a series of long-term simulations of coastal water levels in the US east and Gulf of Mexico coastal regions. The ADCIRC storm surge, tide, and wind-wave model is used to compute the storm surge and tide response to […]
Posted in Earth Data Science, Research
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Coastal Hazards, Equity, Economic Prosperity And Resilience (CHEER)
Overview Community resilience has become a guiding ideal for how to address escalating impacts of hazards in coastal regions. Nevertheless, it remains stubbornly challenging to achieve in practice. This NSF Coasts and People (CoPe) Hub, ;led by the University of Delaware, hypothesizes that this is partially due to constraints imposed by parallel concerns of equity […]
Posted in Earth Data Science, Research
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Semantic Infrastructure for Noctua and Gene Ontology
Overview Semantic Infrastructure for Noctua and Gene Ontology is a project providing expertise in semantic technologies to the leading resource scientists use to exchange knowledge on how genes function. RENCI’s Role The Gene Ontology (GO) project, by far the largest knowledgebase of how genes function, has become a critical component of the computational infrastructure enabling […]
Posted in Data Science and Analytics, Research
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