Abstract:

This dataset contains the input and output files for a case study using the Sunken Oil Simulator (SOSim) subsurface oil model. Model validation used data from the Tank Barge DBL 152 spill, which occurred 2005-11-05 in the Gulf of Mexico off the Louisiana coast. The DBL 152 spill provides an example of an instantaneous spill with sunken/landed oil. A single prediction of oil distribution is provided, corresponding to the time of the field sampling by NOAA on 2005-11-25. Included are the sampled oil concentrations, the bathymetry in the region, a summary of the input parameters (spill location, oil type, date, etc), and the shapefiles and legend information necessary to create the background of the relative concentration maps which are SOSim’s primary output. The dataset also includes some Python modules necessary to run the SOSim model, examples of the input GUI, and instructions on the set-up and inputs required. The native graphical output of SOSim has been exported into a NetCDF file for easier quantitative use. Related datasets available under GRIIDC Unique Dataset identifiers (UDIs) R6.x812.000:0002 (doi: 10.7266/n7-qsr6-gr54) and R6.x812.000:0008 (doi: 10.7266/n7-8rhz-c860) provide examples of submerged oil in a continuous flow and sunken oil with an instantaneous release in a river environment. The SOSim model code is available in dataset UDI R6.x812.000:0005 (doi: 10.7266/n7-dgsh-kh04).

Suggested Citation:

Jacketti, Mary. 2021. Validation of Subsurface Oil Simulator (SOSim) oil model using the Tank Barge DBL 152 oil spill, 2005-11-05 to 2005-11-25. Distributed by: GRIIDC, Harte Research Institute, Texas A&M University–Corpus Christi. doi:10.7266/n7-d7cg-md27

Purpose:

The validation of the SOSim model using the DBL 152 oil spill as a case study. DBL 152 was an oceanic spill with instantaneous release from a vessel.

Data Parameters and Units:

Input: Field Data: Point, Longitude [degrees], Latitude [degrees], Concentration [% Surface Area fouled by oil], Time of Sample [YYYY-MM-DD HH:MM:SS]. Bathymetry: Longitude [degrees], Latitude [degrees], Depth [m]. The model initialization input file is described in the included document ‘1. SOSim README.txt’. Model parameters are also described, and they are illustrated in the input GUI screenshot. Output: Longitude [decimal degrees], Latitude [decimal degrees], Relative Concentration (probability of finding oil at a location [0-1]), Field Data Longitude (Location of NOAA sampling 2004-12-08, [decimal degrees]), Field Data Latitude [degrees], Field Data Concentration [% surface area of “pom-poms” fouled by oil], Contour_Line_Longitude [decimal degrees], Contour_Line_Latitude [decimal degrees], Contour_Line_depth [m], Confidence_Bound_Longitude [decimal degrees], Confidence_Bound_Latitude [decimal degrees], Confidence_Bound_Rel_Concentration [0-1].

Methods:

The SOSim model was demonstrated versus field data on the T/B DBL-152 spill. SOSim accepts available field concentration data, along with default or custom bathymetric data, for inference of the location and trajectory of sunken oil.

Provenance and Historical References:

Echavarria-Gregory, M. A., & Englehardt, J. D. (2015). A predictive Bayesian data-derived multi-modal Gaussian model of sunken oil mass. Environmental Modelling & Software, 69, 1–13. doi:10.1016/j.envsoft.2015.02.014

Individual Files: