Ocean processes underlying surface clustering

Ageostrophic ocean processes such as frontogenesis, submesoscale mixed-layer instabilities, shelf break fronts, and topographic interactions on the continental shelf produce surface-divergent flows that affect buoyant material over time. This study examines the ocean processes leading to clustering, i.e., the increase of material density over time, on the ocean surface. The time series of divergence along a material trajectory, the Lagrangian divergence (LD), is the flow property driving clustering. To understand the impacts of various ocean processes on LD, numerical ocean model simulations at different resolutions are analyzed. Although the relevant processes differ, patterns in clustering evolution from the deep ocean and the continental shelf bear similarities. Smaller-scale ocean features are associated with stronger surface divergence, and the surface material clustering is initially dominated by these features. Over time, the effect of these small-scale features becomes bounded, as material traverses small-scale regions of both positive and negative divergence. Lower-frequency flow phenomena, however, continue the clustering. As a result, clustering evolves from initial small-scale to larger-scale patterns.

[1]  Walter Munk,et al.  Spirals on the sea , 2000, Proceedings of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences.

[2]  B. Hoskins,et al.  The Mathematical Theory of Frontogenesis , 1982 .

[3]  James C. McWilliams,et al.  Mesoscale to Submesoscale Transition in the California Current System. Part II: Frontal Processes , 2008 .

[4]  Nicholas R. Bates,et al.  Eddy/Wind Interactions Stimulate Extraordinary Mid-Ocean Plankton Blooms , 2007, Science.

[5]  Robert N. Miller,et al.  Modeling Bottom Mixed Layer Variability on the Mid-Oregon Shelf during Summer Upwelling , 2004 .

[6]  J. McWilliams The Nature and Consequences of Oceanic Eddies , 2013 .

[7]  Scott Hensley,et al.  Studies of the Deepwater Horizon Oil Spill With the UAVSAR Radar , 2013 .

[8]  R. Ferrari,et al.  Frontogenesis, and the Stratification of the Surface Mixed Layer, , 2008 .

[9]  H. Hurlburt,et al.  Impact of Upper Ocean–Topographical Coupling and Isopycnal Outcropping in Japan/East Sea Models with 1/8° to 1/64° Resolution , 2000 .

[10]  A. Bracco,et al.  Submesoscale impacts on horizontal and vertical transport in the Gulf of Mexico , 2013 .

[11]  Nikolai Maximenko,et al.  Pathways of marine debris derived from trajectories of Lagrangian drifters. , 2012, Marine pollution bulletin.

[12]  William M. Balch,et al.  A line in the sea , 1994, Nature.

[13]  G. Egbert,et al.  Efficient Inverse Modeling of Barotropic Ocean Tides , 2002 .

[14]  Paul J. Martin,et al.  Formulation, implementation and examination of vertical coordinate choices in the Global Navy Coastal Ocean Model (NCOM) , 2006 .

[15]  Craig M. Lee,et al.  Statistics of vertical vorticity, divergence, and strain in a developed submesoscale turbulence field , 2013 .

[16]  R. Pollard,et al.  Vorticity and vertical circulation at an ocean front , 1992 .

[17]  Patrick J. Hogan,et al.  Impact of 1/8° to 1/64° resolution on Gulf Stream model–data comparisons in basin-scale subtropical Atlantic Ocean models , 2000 .

[18]  Chuanmin Hu,et al.  Ocean Color Satellites Show Extensive Lines of Floating Sargassum in the Gulf of Mexico , 2006, IEEE Transactions on Geoscience and Remote Sensing.

[19]  Richard Asselin,et al.  Frequency Filter for Time Integrations , 1972 .

[20]  T. Özgökmen,et al.  Seasonality of the submesoscale dynamics in the Gulf Stream region , 2013, Ocean Dynamics.

[21]  Convergence fronts in tidally forced rotating estuaries , 2001 .

[22]  J. Barth,et al.  Secondary circulation associated with a shelfbreak front , 1998 .

[23]  J. Kalda,et al.  On the finite-time compressibility of the surface currents in the Gulf of Finland, the Baltic Sea , 2014 .

[24]  S. Anquetin,et al.  Numerical simulation of orographic rainbands , 2003 .

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

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

[27]  Longitudinal convergence fronts in homogeneous rotating channels , 2000 .

[28]  Regions of estuarine convergence at high Rossby number: A solution in estuaries with elliptical cross sections , 2002 .

[29]  Fabrizio D'Ortenzio,et al.  Submesoscale physical‐biogeochemical coupling across the Ligurian current (northwestern Mediterranean) using a bio‐optical glider , 2008 .

[30]  R. Hodur The Naval Research Laboratory’s Coupled Ocean/Atmosphere Mesoscale Prediction System (COAMPS) , 1997 .

[31]  Gary Froyland,et al.  Origin, dynamics and evolution of ocean garbage patches from observed surface drifters , 2012 .