Statistical properties of the surface velocity field in the northern Gulf of Mexico sampled by GLAD drifters

The Grand LAgrangian Deployment (GLAD) used multiscale sampling and GPS technology to observe time series of drifter positions with initial drifter separation of O(100 m) to O(10 km), and nominal 5 min sampling, during the summer and fall of 2012 in the northern Gulf of Mexico. Histograms of the velocity field and its statistical parameters are non-Gaussian; most are multimodal. The dominant periods for the surface velocity field are 1–2 days due to inertial oscillations, tides, and the sea breeze; 5–6 days due to wind forcing and submesoscale eddies; 9–10 days and two weeks or longer periods due to wind forcing and mesoscale variability, including the period of eddy rotation. The temporal e-folding scales of a fitted drifter velocity autocorrelation function are bimodal with time scales, 0.25–0.50 days and 0.9–1.4 days, and are the same order as the temporal e-folding scales of observed winds from nearby moored National Data Buoy Center stations. The Lagrangian integral time scales increase from coastal values of 8 h to offshore values of approximately 2 days with peak values of 3–4 days. The velocity variance is large, O(1)m2/s2, the surface velocity statistics are more anisotropic, and increased dispersion is observed at flow bifurcations. Horizontal diffusivity estimates are O(103)m2/s in coastal regions with weaker flow to O(105)m2/s in flow bifurcations, a strong jet, and during the passage of Hurricane Isaac. The Gulf of Mexico surface velocity statistics sampled by the GLAD drifters are a strong function of the feature sampled, topography, and wind forcing

[1]  Shuyi S. Chen,et al.  Hurricane‐induced ocean waves and stokes drift and their impacts on surface transport and dispersion in the Gulf of Mexico , 2016 .

[2]  T. Özgökmen,et al.  Improved Surface Velocity and Trajectory Estimates in the Gulf of Mexico from Blended Satellite Altimetry and Drifter Data , 2015 .

[3]  E. Coelho,et al.  Filtering Drifter Trajectories Sampled at Submesoscale Resolution , 2015, IEEE Journal of Oceanic Engineering.

[4]  Helga S. Huntley,et al.  Ocean Current Estimation Using a Multi-Model Ensemble Kalman Filter During the Grand Lagrangian Deployment Experiment (GLAD) , 2015 .

[5]  Helga S. Huntley,et al.  Data assimilation considerations for improved ocean predictability during the Gulf of Mexico Grand Lagrangian Deployment (GLAD) , 2014 .

[6]  Shuyi S. Chen,et al.  Research Overview of the Consortium for Advanced Research on Transport of Hydrocarbon in the Environment (CARTHE) , 2014 .

[7]  Helga S. Huntley,et al.  Submesoscale dispersion in the vicinity of the Deepwater Horizon spill , 2014, Proceedings of the National Academy of Sciences.

[8]  George Haller,et al.  Drifter motion in the Gulf of Mexico constrained by altimetric Lagrangian coherent structures , 2013 .

[9]  S. Chiswell.  Lagrangian Time Scales and Eddy Diffusivity at 1000 m Compared to the Surface in the South Pacific and Indian Oceans , 2013 .

[10]  G. Johnson,et al.  Global ocean surface velocities from drifters: Mean, variance, El Niño–Southern Oscillation response, and seasonal cycle , 2013 .

[11]  W. Schmitz.  Cyclones and Westward Propagation in the Shedding of Anticyclonic Rings from the Loop Current , 2013 .

[12]  S. DiMarco,et al.  A Statistical Description of the Velocity Fields from Upper Ocean Drifters in the Gulf of Mexico , 2013 .

[13]  P. Poulain,et al.  Eddy diffusivity derived from drifter data for dispersion model applications , 2012, Ocean Dynamics.

[14]  Joseph H. LaCasce,et al.  Reconciling float-based and tracer-based estimates of lateral diffusivities , 2012 .

[15]  A. Mariano,et al.  Relative dispersion observations and trajectory modeling in the Santa Barbara Channel , 2012 .

[16]  Ashwanth Srinivasan,et al.  On the modeling of the 2010 Gulf of Mexico Oil Spill , 2011 .

[17]  W. Sturges,et al.  Mean Flow in the Gulf of Mexico , 2008 .

[18]  K. Speer,et al.  An estimate of Lagrangian eddy statistics and diffusion in the mixed layer of the Southern Ocean , 2008 .

[19]  N. Sharma,et al.  Satellite-Tracked Drifter Measurements of Inertial Currents in the Gulf of Mexico , 2008, 2008 IEEE/OES 9th Working Conference on Current Measurement Technology.

[20]  E. Jarosz,et al.  Low-Frequency Current Variability Observed at the Shelfbreak in the Northeastern Gulf of Mexico: November 2004-May 2005 , 2008 .

[21]  V. Zhurbas,et al.  Drifter‐derived maps of lateral diffusivity in the Pacific and Atlantic Oceans in relation to surface circulation patterns , 2004 .

[22]  C. Ohlmann,et al.  Relative dispersion at the surface of the Gulf of Mexico , 2003 .

[23]  V. Zhurbas,et al.  Lateral diffusivity and Lagrangian scales in the Pacific Ocean as derived from drifter data , 2003 .

[24]  F. Muller‐Karger,et al.  Chlorophyll dispersal by eddy-eddy interactions in the Gulf of Mexico , 2003 .

[25]  K. Speer,et al.  Lagrangian Eddy Scales in the Northern Atlantic Ocean , 2002 .

[26]  Huai-Min Zhang,et al.  Isopycnal Lagrangian statistics from the North Atlantic Current RAFOS float observations , 2001 .

[27]  A. Mariano,et al.  Lagrangian Data in a High Resolution Numerical Simulation of the North Atlantic. I: Comparison with , 2001 .

[28]  W. Park,et al.  Estimating horizontal diffusivity in the East Sea (Sea of Japan) and the northwest Pacific from satellite‐tracked drifter data , 2000 .

[29]  S. Bauer.  Eddy-mean flow decomposition and eddy-diffusivity estimates in the tropical Pacific Ocean , 1998 .

[30]  T. M. Chin,et al.  Feature and contour based data analysis and assimilation in physical oceanography , 1996 .

[31]  Annalisa Griffa,et al.  Applications of stochastic particle models to oceanographic problems , 1996 .

[32]  M. Swenson,et al.  Statistical analysis of the surface circulation of the California Current , 1996 .

[33]  Otis B. Brown,et al.  Efficient objective analysis of dynamically heterogeneous and nonstationary fields via the parameter matrix , 1992 .

[34]  R. Davis,et al.  Modeling eddy transport of passive tracers , 1987 .

[35]  H. Inoue.  A least-squares smooth fitting for irregularly spaced data; finite-element approach using the cubic B-spline basis , 1986 .

[36]  Russ E. Davis,et al.  Drifter observations of coastal surface currents during CODE: The method and descriptive view , 1985 .

[37]  H. Aref.  Stirring by chaotic advection , 1984, Journal of Fluid Mechanics.

[38]  Glenn R. Flierl,et al.  Particle motions in large-amplitude wave fields , 1981 .

[39]  S. Corrsin,et al.  The relation of turbulent diffusivities to Lagrangian velocity statistics for the simplest shear flow , 1974 .

[40]  P. Welander,et al.  Studies on the General Development of Motion in a Two‐Dimensional, Ideal Fluid , 1955 .

[41]  R. Lumpkin,et al.  Lagrangian Analysis and Prediction of Coastal and Ocean Dynamics: Measuring surface currents with Surface Velocity Program drifters: the instrument, its data, and some recent results , 2007 .

[42]  Annalisa Griffa,et al.  Lagrangian Analysis and Prediction of Coastal and Ocean Dynamics: Predictability of Lagrangian motion in the upper ocean , 2007 .

[43]  Mohi Kumar.  Circulation in the Gulf of Mexico: Observations and Models , 2006 .

[44]  P. Niiler,et al.  Circulation over the continental shelf in the northern Gulf of Mexico , 2005 .

[45]  W. Sturges,et al.  Circulation in the Gulf of Mexico: Observations and Models: Sturges/Circulation in the Gulf of Mexico: Observations and Models , 2005 .

[46]  Russ E. Davis,et al.  LAGRANGIAN OCEAN STUDIES , 1991 .

[47]  J. R. Philip.  Diffusion by Continuous Movements , 1968 .

[48]  R. Lumpkin,et al.  Measuring surface currents with Surface Velocity Program drifters : the instrument , its data , and some recent results , 2022 .