Abstract:

Modeled Lagrangian data using a 1km horizontal resolution Regional Ocean Modeling System (ROMS) run. The Lagrangian model adopted is LTRANS v2b. Particles with sinking speeds of 20 m d-1, 30 m d-1, 50 m d-1 and 100 m d-1 are released at two sediment traps, GC600 (27.375 N, -90.511667 W) and AT357 (27.525 N, -89.71 W) in April and October 2012. Backward simulation of particles is applied to investigate the influence of mesoscale and submesoscale circulations on the trajectories of sinking particles in the Gulf of Mexico.

Suggested Citation:

Guangpeng Liu, Annalisa Bracco. 2018. Modeled Lagrangian data 1km horizontal resolution ROMS run to investigate the influence of mesoscale and submesoscale circulations on the trajectories of sinking particles, Gulf of Mexico, April 20-30, 2012 (spring case) October 2-12, 2012 (fall case). Distributed by: GRIIDC, Harte Research Institute, Texas A&M University–Corpus Christi. doi:10.7266/N7NP22XW

Publications:

Liu, G., Bracco, A., & Passow, U. (2018). The influence of mesoscale and submesoscale circulation on sinking particles in the northern Gulf of Mexico. Elem Sci Anth, 6(1), 36. doi:10.1525/elementa.292

Bracco, A., Liu, G., & Sun, D. (2019). Mesoscale-submesoscale interactions in the Gulf of Mexico: From oil dispersion to climate. Chaos, Solitons & Fractals, 119, 63–72. doi:10.1016/j.chaos.2018.12.012

Purpose:

Lagrangian runs are simulated to investigate how sinking particles transport in the presence of large, energetic Loop Current eddy and where those particles come from. Particulate organic carbon fluxes are calculated from sediment traps deployed at about 100 m above the seafloor at two locations throughout 2012.

Data Parameters and Units:

The data are LTRANS netcdf files including the following parameters: model_time (time that has passed thus far in the model, seconds); dob (data of birth of particles in seconds from model start, seconds); age (age of particles, seconds); lon (longitude of particles, decimal degree E); lat (latitude of particles, decimal degree N); depth (depth of particles, meters below surface); color (identification number for particle behavior or status, nondimensional see LTRANS user guide)

Methods:

Simulations were performed using the Larval TRANSport Lagrangian model (LTRANS v.2b) , which is an off-line particle-tracking model that runs with the stored predictions of a 3D hydrodynamic model (specifically the ROMS output) Software website http://northweb.hpl.umces.edu/LTRANS.htm Reference North, E. W., E. E. Adams, S. Schlag, C. R. Sherwood, R. He, S. Socolofsky. 2011. Simulating oil droplet dispersal from the Deepwater Horizon spill with a Lagrangian approach. AGU Book Series: Monitoring and Modeling the Deepwater Horizon Oil Spill: A Record Breaking Enterprise.

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