Abstract:

This dataset contains five of the nine sets of modelling output resulting from an investigation on the effects of horizontal and vertical resolution on model representation of tracer dispersion along the continental slope in the northern Gulf of Mexico. The investigation involved a collaborative effort between the Ecosystem Impacts of Oil and Gas Inputs to the Gulf (ECOGIG) and Gulf of Mexico Integrated Spill Response (GISR) research consortia. This dataset contains the ECOGIG-funded contribution to the study. The model output from the remaining four datasets have been submitted separately by GISR (GRIIDC dataset R1.x137.000:0024). This dataset supports the publication: Bracco, A., Choi, J., Kurian, J., & Chang, P. (2018). Vertical and horizontal resolution dependency in the model representation of tracer dispersion along the continental slope in the northern Gulf of Mexico. Ocean Modelling, 122, 13–25. doi:10.1016/j.ocemod.2017.12.008

Suggested Citation:

Annalisa Bracco. 2018. Dataset for: Vertical and horizontal resolution dependency in the model representation of tracer dispersion along the continental slope in the northern Gulf of Mexico. Distributed by: GRIIDC, Harte Research Institute, Texas A&M University–Corpus Christi. doi:10.7266/N7KP80MP

Publications:

Bracco, A., Choi, J., Kurian, J., & Chang, P. (2018). Vertical and horizontal resolution dependency in the model representation of tracer dispersion along the continental slope in the northern Gulf of Mexico. Ocean Modelling, 122, 13–25. doi:10.1016/j.ocemod.2017.12.008

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

Purpose:

To investigate how model resolution (horizontal and vertical) and choices of parameterization for vertical mixing or for tracer mixing impact the representation of lateral and diapycnal dispersion along the continental shelf of the northern Gulf of Mexico.

Data Parameters and Units:

velocity (u-, v-, w- components; m/s), potential temperature (Celsius), salinity (no units), time-averaged dye concentration (dye_01; kg/m^3), time-averaged temperature vertical diffusion coefficient (AKt, m^2/s), Latitude (degrees North), Longitude (Degrees East)

Methods:

The three-dimensional advection of tracers is obtained using either the second-order accurate, multidimensional positive definite advection transport algorithm (MPDATA) scheme (Margolin and Smolarkiewicz, 1998) or, in one case, the rotated split upstream-biased 3rd order transport scheme (SPLITUP) proposed by Marchesiello et al. (2009). Vertical mixing is based on either the K-Profile Parameterization (KPP) scheme (Large et al., 1994) or the Mellor and Yamada (1982) (MY) scheme with level 2.5 closure and the Galperin et al., (1988) modification. Summary of ROMS configurations adopted in this study. Horizontal grid resolution (km), # of layers, vertical mixing scheme, advection scheme, folder name 1, 50, MY2.5, MPDATA, exp_1km 1, 50, MY2.5, SPLITUP, exp_1km_split 3, 50, KPP, MPDATA, exp_3km_kpp 9, 50, MY2.5, MPDATA, exp_9km 9, 5,0 KPP, MPDATA, exp_9km_kpp

Error Analysis:

Margolin, L., Smolarkiewicz, P.K., 1998. Antidiffusive velocities for multipass donor cell advection. SIAM J. Sci. Comput. 20 (3), 907–929. Marchesiello, P., Debreu, L., Couvelard, X., 2009. Spurious diapycnal mixing in terrain-following coordinate models: the problem and a solution. Ocean Modell. 26, 156–169. Large, W.G., McWilliams, J.C., Doney, S.C., 1994. Oceanic vertical mixing: a review and a model with a nonlocal boundary layer parameterization. Rev. Geophys. 32, 363–403. Mellor, G.L., Yamada, T., 1982. Development of a turbulence closure model for geophysical fluid problems. Rev. Geophys. 20, 851–875. Galperin, B., Kantha, L.H., Hassid, S., Rosati, A., 1988. A quasi-equilibrium turbulent energy model for geophysical flows. J. Atmos. Sci. 45, 55–62.

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