Category Archives: Research

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 | Comments Off on RENCI strengthens storm surge response capabilities

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 | Comments Off on Critical-Zone Collaborative Network (CZCN Hub)

Network Research and Infrastructure

Posted in Network Research and Infrastructure, Research | Comments Off on Network Research and Infrastructure

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 | Comments Off on Further Development of AI Tool for Extraction of Roadside Hazards from Videolog Data and LIDAR

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 | Comments Off on Forecasting Coastal Impacts from Tropical Cyclones along the US East and Gulf Coasts using the ADCIRC Prediction System

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 | Comments Off on A Multi-decadal Coastal Water Level Model Reanalysis for Coastal Inundation and Flood Risk Assessment

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 | Comments Off on Coastal Hazards, Equity, Economic Prosperity And Resilience (CHEER)

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 | Comments Off on Semantic Infrastructure for Noctua and Gene Ontology

Bias Tracking and Reduction Methods for High-Dimensional Exploratory Visual Analysis and Selection

Overview Exploratory visualization and analysis of large and complex datasets is growing increasingly common across a range of domains, and large and complex data repositories are being created with the goal supporting data-driven, evidence-based decision making. However, today’s visualization tools are often overwhelmed when applied to high-dimensional datasets (i.e., datasets with large numbers of variables). […]

Posted in Data Science and Analytics, Research | Comments Off on Bias Tracking and Reduction Methods for High-Dimensional Exploratory Visual Analysis and Selection

Data Translator: ARAGORN

Overview Biological knowledge is increasingly standardized and made available through simple programming interfaces.  But how can scientists best consume that information, and use it to enhance their research?  ARAGORN (Autonomous Relay Agent for Generation of Ranked Networks) is a tool that assembles information relevant to a user query, and uses that information to synthesize well-supported […]

Posted in Data Science and Analytics, Research | Comments Off on Data Translator: ARAGORN