Category Archives: Earth Data Science

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 […]

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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 […]

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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 […]

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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 […]

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Galapagos Science Center

Overview The Galapagos Science Center (GSC) is a state-of-the-art research facility on Isla San Cristobal in the Galapagos Archipelago. This joint effort between the University of North Carolina at Chapel Hill and the Universidad San Francisco de Quito (USFQ) in Ecuador is intended to promote science and education that helps protect the island’s ecosystems. The […]

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EarthCube

Overview EarthCube is a collaboration between the National Science Foundation and Earth, atmosphere, ocean, computer, and information scientists, educators and data managers across the country. The project aims to transform geoscience research by creating a dynamic cyberinfrastructure to integrate information, and share and manage data. To support these goals, the NSF funds EarthCube grants, consortia and research […]

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Water Science Software Institute

In 2012, RENCI and several partners received a conceptualization grant from the National Science Foundation, which could lead to the development of a multimillion-dollar Water Science Software Institute (WSSI) led by RENCI and UNC Chapel Hill with partners across the U.S.  

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Weather and Emergency Management Decision Support

Overview Weather has a significant impact on society and the economy. Understanding weather is critical to decisions about evacuations, allocation of resources, school and business closures, water resource management and disease contaminant efforts. However, there are currently few decision support systems through which science-based weather information from the National Weather Service is effectively communicated to […]

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NC Coastal Wind Demonstration Project

Overview Following a nine-month feasibility study conducted by the University of North Carolina at Chapel Hill, university researchers teamed with Duke Energy on a demonstration project to place three wind turbines in the Pamlico Sound about 8 miles from the Outer Banks community of Buxton, NC. The turbines will facilitate the state’s efforts to develop […]

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Immersive Media

Overview RENCI acquired a Dodeca 2360 camera system from Immersive Media in Portland, OR, to capture 360-degree high definition video. The camera system recreates physical spaces in cyberspace using an 11-camera, geo-referenced imagery system that shoots high-resolution video in full 360 degrees. The system collects huge amounts of data: 1 million pixels per second, or […]

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