News: GoMRI Renews CARTHE

2014/11/15 – GoMRI
Gulf of Mexico Research Initiative Awards $140 Million to Support Research

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The Gulf of Mexico Research Initiative (GoMRI) has selected 12 research consortia to conduct scientific studies of the impacts of oil, dispersed oil, and dispersant on the Gulf of Mexico ecosystem and public health. These research investments focus on improving our fundamental understanding of the implications of events such as the Macondo well blowout, and on developing improved spill mitigation, oil and gas detection, characterization and remediation technologies. The consortia were chosen following a competitive, merit review process that evaluated research applications submitted to GoMRI in response to its RFP-IV program solicitation.

Through the RFP-IV program, GoMRI is awarding $140 million to support research to be carried out from 2015 through 2017.

2014/11/18 – UM RSMAS
UM Rosenstiel School Scientists Receive Over $29 Million to Study Effects of Crude Oil Spills

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Under the leadership of UM Rosenstiel School Professor Tamay Özgökmen, the CARTHE research consortium received over $20 million to continue the research necessary to predict the fate of oil released into the environment to help inform and guide response teams in the event of future oil spills. This second phase of CARTHE, which supports research through 2017, will help scientists develop and improve computational tools to accurately predict the fate of hydrocarbons found in crude oil that are released into the environment, and help to guide risk management and response efforts in mitigation and restoration of the economy and the ecosystem in situations like the Deepwater Horizon oil spill.

“An integral part of any informed response to a future event like the 2010 Deepwater Horizon oil spill requires knowledge of the distribution of pollutants in the water column and the ability to predict where and how fast the pollutants will spread,” said Özgökmen, lead investigator of CARTHE. “This information is also crucial to estimate the pollutants, impact on the local ecosystem and coastal communities.”

News: Developing Storm Surge Visualization

2014/10/29 – NC Sea Grant Coastwatch Currents
Picture This: Developing Storm Surge Visualization

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When a tropical storm or hurricane develops in the open ocean, the National Hurricane Center, known as NHC, issues advisories that anticipate the track and intensity of the wind field. These advisories predict when and where the hurricane is expected to make landfall, even when the storm is far away from the coast.

This information serves as an input for the ocean model, which then predicts the water levels or storm surges, and wave heights created by these winds at various locations along our coastline for the coming days. These results will convey a greater meaning to the end user when visualized properly. The chief objective for our project is to improve the communication of these model outputs to the end-user by producing them in popular file formats like that of GIS based shapefiles and KMZ files used in Google Earth.

News: Sea Change

2014/05/28 – NC State Engineering Magazine
Working with one of North Carolina’s most valuable resources

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Dietrich came to NC State with a wealth of experience in coastal modeling, most of it done along the Gulf Coast of the United States. He will soon begin a project with the National Oceanic and Atmospheric Administration to model North Carolina’s coast. Dietrich is part of a research community using a computer model called ADCIRC to predict everything from storm surge and flooding to the feasibility of dredging, or where material floating in the ocean might end up.

When a hurricane is bearing down on the coastline, running the models quickly is of the essence. But the faster the model runs, the less accurate it is. Improving the models so that the time and accuracy trade-off isn’t as sharp is part of Dietrich’s work.

So is figuring out the best ways to visualize the results and get the modeling information to local emergency management officials along the coast so that they can use it.

“It doesn’t help anybody if we are doing this in an empty room somewhere and not sharing the results with the community and sharing them in a way that will maximize their use and maximize their impact,” he said.

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News: Hazard Resilience in Coastal Communities

2014/05/14 – North Carolina Sea Grant Coastwatch
Coastal Science Serves North Carolina: Sea Grant Funds New Research Projects

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Using a high-resolution modeling system, the researchers will expand the utility and accuracy of wave, storm-surge and flooding forecast guidance available to emergency managers in North Carolina. The accurate prediction of these elements is essential for the safety of people and property.

Characterizing Hurricane Storm Surge Behavior in Galveston Bay using the SWAN+ADCIRC Model

CE2014The SWAN+ADCIRC shallow-water circulation model, validated for Hurricane Ike (2008), was used to develop five synthetic storm surge scenarios for the upper Texas coast in which wind speed was increased and landfall location was shifted 40 km westward. The Hurricane Ike simulation and the synthetic storms were used to study the maximum water elevations in Galveston Bay, as well as the timing and behavior of surge relative to the hurricane track. Sixteen locations indicative of surge behavior in and around Galveston Bay were chosen for analysis in this paper. Results show that water surface elevations present in Galveston Bay are dominated by the counterclockwise hurricane winds and that increasing wind speeds by 15% results in approximately 23% (+/−3%) higher surge. Furthermore, shifting the storm westward causes higher levels of surge in the more populated areas due to more intense, higher shore-normal winds. This research helps to highlight the vulnerability of the upper Texas Gulf Coast to hurricane storm surge and lends insight to storm surge and flood mitigation studies in the Houston–Galveston region.

AG Sebastian, JM Proft, JC Dietrich, W Du, PB Bedient, CN Dawson (2014). “Characterizing Storm Surge Behavior in Galveston Bay using the SWAN + ADCIRC Model.Coastal Engineering, 88, 171-181, DOI: 10.1016/ j.coastaleng.2014.03.002.