, 2014(1): 544–560. 2014/11/08 2014.\n
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@article{CARTHE2014,\n\tabstract = {ABSTRACT CARTHE (http://carthe.org/) is a Gulf of Mexico Research Initiative (GoMRI) consortium established through a competitive peer-reviewed selection process. CARTHE comprises 26 principal investigators from 14 universities and research institutions distributed across four Gulf of Mexico states and other four states. It fuses into one group investigators with unique scientific and technical knowledge and extensive publications related to oil fate/transport processes, oceanic and atmospheric turbulence, air-sea interactions, tropical cyclones and winter storms, and coastal and nearshore modeling and observations. Our primary goal is to accurately predict the fate of hydrocarbons released into the environment. Achieving this goal is particularly challenging since petroleum releases into the environment interact with natural processes across six orders of magnitude of time and space scales. We are developing a multi-scale modeling tool by incorporating state-of-the-art hydrophysical models, each applicable for a restricted range of scales, into a single, interconnected modeling system to predict the physical dispersal of hydrocarbons across scales ranging from the microscale at the wellhead to oceanic and atmospheric mesoscales. CARTHE is also conducting novel in-situ observations and laboratory experiments specifically designed for quantifying submesoscale dispersion as well as for both model validation and parameterization. Finally, we are providing a robust set of uncertainty metrics and analysis tools to assess model performance and quantify predictive uncertainty.},\n\tannote = {doi: 10.7901/2169-3358-2014.1.544},\n\tauthor = {{\\"O}zg{\\"o}kmen, Tamay M. and Beron-Vera, Francisco J. and Bogucki, Darek and Chen, Shuyi S. and Dawson, Clint and Dewar, William and Griffa, Annalisa and Haus, Brian K. and Haza, Angelique C. and Huntley, Helga and Iskandarani, Mohamed and Jacobs, Gregg and Jagers, Bert and Kirwan, A. D. and Laxague, Nathan and Lipphardt, Bruce and MacMahan, Jamie and Mariano, Arthur J. and Olascoaga, Josefina and Novelli, Guillaume and Poje, Andrew C. and Reniers, A. J. H. M. and Restrepo, Juan M. and Rosenheim, Brad and Ryan, Edward H. and Smith, Conor and Soloviev, Alexander and Venkataramani, Shankar and Zha, Ge-Cheng and Zhu, Ping},\n\tbooktitle = {International Oil Spill Conference Proceedings},\n\tda = {2014/05/01},\n\tdate = {2014/05/01},\n\tdate-added = {2017-01-29 16:04:45 +0000},\n\tdate-modified = {2017-01-29 20:11:00 +0000},\n\tdoi = {10.7901/2169-3358-2014.1.544},\n\tisbn = {2169-3366},\n\tjournal = {International Oil Spill Conference Proceedings},\n\tjournal1 = {International Oil Spill Conference Proceedings},\n\tkeywords = {pubs},\n\tm3 = {doi: 10.7901/2169-3358-2014.1.544},\n\tmonth = {2014/11/08},\n\tn2 = {ABSTRACT CARTHE (http://carthe.org/) is a Gulf of Mexico Research Initiative (GoMRI) consortium established through a competitive peer-reviewed selection process. CARTHE comprises 26 principal investigators from 14 universities and research institutions distributed across four Gulf of Mexico states and other four states. It fuses into one group investigators with unique scientific and technical knowledge and extensive publications related to oil fate/transport processes, oceanic and atmospheric turbulence, air-sea interactions, tropical cyclones and winter storms, and coastal and nearshore modeling and observations. Our primary goal is to accurately predict the fate of hydrocarbons released into the environment. Achieving this goal is particularly challenging since petroleum releases into the environment interact with natural processes across six orders of magnitude of time and space scales. We are developing a multi-scale modeling tool by incorporating state-of-the-art hydrophysical models, each applicable for a restricted range of scales, into a single, interconnected modeling system to predict the physical dispersal of hydrocarbons across scales ranging from the microscale at the wellhead to oceanic and atmospheric mesoscales. CARTHE is also conducting novel in-situ observations and laboratory experiments specifically designed for quantifying submesoscale dispersion as well as for both model validation and parameterization. Finally, we are providing a robust set of uncertainty metrics and analysis tools to assess model performance and quantify predictive uncertainty.},\n\tnumber = {1},\n\tpages = {544--560},\n\tpublisher = {American Petroleum Institute},\n\ttitle = {Research Overview of the Consortium for Advanced Research on Transport of Hydrocarbon in the Environment (CARTHE)},\n\tty = {JOUR},\n\turl_journal = {http://dx.doi.org/10.7901/2169-3358-2014.1.544},\n\tvolume = {2014},\n\tyear = {2014},\n\tyear1 = {2014},\n\tBdsk-Url-1 = {http://dx.doi.org/10.7901/2169-3358-2014.1.544}}\n\n
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\n ABSTRACT CARTHE (http://carthe.org/) is a Gulf of Mexico Research Initiative (GoMRI) consortium established through a competitive peer-reviewed selection process. CARTHE comprises 26 principal investigators from 14 universities and research institutions distributed across four Gulf of Mexico states and other four states. It fuses into one group investigators with unique scientific and technical knowledge and extensive publications related to oil fate/transport processes, oceanic and atmospheric turbulence, air-sea interactions, tropical cyclones and winter storms, and coastal and nearshore modeling and observations. Our primary goal is to accurately predict the fate of hydrocarbons released into the environment. Achieving this goal is particularly challenging since petroleum releases into the environment interact with natural processes across six orders of magnitude of time and space scales. We are developing a multi-scale modeling tool by incorporating state-of-the-art hydrophysical models, each applicable for a restricted range of scales, into a single, interconnected modeling system to predict the physical dispersal of hydrocarbons across scales ranging from the microscale at the wellhead to oceanic and atmospheric mesoscales. CARTHE is also conducting novel in-situ observations and laboratory experiments specifically designed for quantifying submesoscale dispersion as well as for both model validation and parameterization. Finally, we are providing a robust set of uncertainty metrics and analysis tools to assess model performance and quantify predictive uncertainty.\n