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| Content Provider | World Health Organization (WHO)-Global Index Medicus |
|---|---|
| Author | Jacobs, Gregg A. Olascoaga, Maria Josefina Hogan, Patrick J. Haus, Brian K. Kirwan, Albert D. Coelho, Emanuel Griffa, Annalisa Novelli, Guillaume Beron-vera, Francisco J. Haza, Angelique C. Reniers, A. J. H. M. Chen, Shuyi S. Ozgökmen, Tamay M. Mariano, Arthur J. Ryan, Edward H. Lipphardt, Bruce L. Huntley, Helga S. Poje, Andrew C. |
| Description | Author Affiliation: Poje AC ( Department of Mathematics, Graduate Physics Program, College of Staten Island, City University of New York, New York, NY 10314); Ozgökmen TM ( Department of Ocean Sciences, Rosenstiel School of Marine and Atmospheric Sciences, University of Miami, Miami, FL 33176); Lipphardt BL ( School of Marine Science and Policy, University of Delaware, Newark, DE 19716); Haus BK ( Department of Ocean Sciences, Rosenstiel School of Marine and Atmospheric Sciences, University of Miami, Miami, FL 33176); Ryan EH ( Department of Ocean Sciences, Rosenstiel School of Marine and Atmospheric Sciences, University of Miami, Miami, FL 33176); Haza AC ( Department of Ocean Sciences, Rosenstiel School of Marine and Atmospheric Sciences, University of Miami, Miami, FL 33176); Jacobs GA ( Ocean Dynamics and Prediction, Naval Research Laboratory, Stennis Space Center, Hancock County, MS 39529); Reniers AJ ( Department of Ocean Sciences, Rosenstiel School of Marine and Atmospheric Sciences, University of Miami, Miami, FL 33176); Olascoaga MJ ( Department of Ocean Sciences, Rosenstiel School of Marine and Atmospheric Sciences, University of Miami, Miami, FL 33176); Novelli G ( Department of Ocean Sciences, Rosenstiel School of Marine and Atmospheric Sciences, University of Miami, Miami, FL 33176); Griffa A ( Istituto di Scienze Marine, Consiglio Nazionale delle Ricerche, 19032 La Spezia, Italy.); Beron-Vera FJ ( Department of Ocean Sciences, Rosenstiel School of Marine and Atmospheric Sciences, University of Miami, Miami, FL 33176); Chen SS ( Department of Ocean Sciences, Rosenstiel School of Marine and Atmospheric Sciences, University of Miami, Miami, FL 33176); Coelho E ( Ocean Dynamics and Prediction, Naval Research Laboratory, Stennis Space Center, Hancock County, MS 39529); Hogan PJ ( Ocean Dynamics and Prediction, Naval Research Laboratory, Stennis Space Center, Hancock County, MS 39529); Kirwan AD ( School of Marine Science and Policy, University of Delaware, Newark, DE 19716); Huntley HS ( School of Marine Science and Policy, University of Delaware, Newark, DE 19716); Mariano AJ ( Department of Ocean Sciences, Rosenstiel School of Marine and Atmospheric Sciences, University of Miami, Miami, FL 33176); |
| Abstract | Reliable forecasts for the dispersion of oceanic contamination are important for coastal ecosystems, society, and the economy as evidenced by the Deepwater Horizon oil spill in the Gulf of Mexico in 2010 and the Fukushima nuclear plant incident in the Pacific Ocean in 2011. Accurate prediction of pollutant pathways and concentrations at the ocean surface requires understanding ocean dynamics over a broad range of spatial scales. Fundamental questions concerning the structure of the velocity field at the submesoscales (100 m to tens of kilometers, hours to days) remain unresolved due to a lack of synoptic measurements at these scales. Using high-frequency position data provided by the near-simultaneous release of hundreds of accurately tracked surface drifters, we study the structure of submesoscale surface velocity fluctuations in the Northern Gulf of Mexico. Observed two-point statistics confirm the accuracy of classic turbulence scaling laws at 200-m to 50-km scales and clearly indicate that dispersion at the submesoscales is local, driven predominantly by energetic submesoscale fluctuations. The results demonstrate the feasibility and utility of deploying large clusters of drifting instruments to provide synoptic observations of spatial variability of the ocean surface velocity field. Our findings allow quantification of the submesoscale-driven dispersion missing in current operational circulation models and satellite altimeter-derived velocity fields. |
| ISSN | 00278424 |
| e-ISSN | 10916490 |
| Journal | Proceedings of the National Academy of Sciences of the United States of America |
| Issue Number | 35 |
| Volume Number | 111 |
| Language | English |
| Publisher | National Academy of Sciences |
| Publisher Date | 2014-09-01 |
| Publisher Place | United States |
| Access Restriction | Open |
| Subject Keyword | Ecosystem Environmental Monitoring Models, Theoretical Oceanography Oil And Gas Fields Water Pollutants, Chemical Diffusion Gulf Of Mexico Oceans And Seas Salinity Research Support, Non-U.S. Gov't Multidisciplinary |
| Content Type | Text |
| Resource Type | Article |
| Subject | Multidisciplinary |
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