Abstract:

This dataset contains the output of the Connectivity Modeling System (CMS) simulation of the Macondo Well blowout. One thousand particles distributed in three fractions corresponding to 574 Å~ 103 kg of oil are released every 2 h from April 20 to July 15 for a total of more than 1 million particles, at a single source point (28.736° N, 88.365° W) located 300 m above the wellhead, the estimated mean trap height of oil droplets representing the major intrusion. The CMS produced daily outputs of 8 variables in ASCII format. This includes each particle's: age, density, distance traveled, longitude, latitude, depth, size and status within the model. More information about the dataset parameters can be found in Supplemental Information section of the dataset metadata record. For further details about the dataset please refer to Le Henaff, M., Kourafalou, V., Paris, C.B., Helgers, J., Aman, Z.M., Hogan, P., Srinivasan, A.N. 2012. Surface Evolution of the Deepwater Horizon Oil Spill Patch: Combined Effects of Circulation and Wind-Induced Drift. Environ. Sci. Technol. 46(13): 7267–7273. doi:10.1021/es301570w

Suggested Citation:

Paris, Claire. 2016. Connectivity Modeling System simulation of the Macondo Well Blowout evolution April through October 2010: The effects of circulation and wind-induced drift on subsea oil transport. Distributed by: Gulf of Mexico Research Initiative Information and Data Cooperative (GRIIDC), Harte Research Institute, Texas A&M University–Corpus Christi. doi:10.7266/N7GM85C0

Publications:

Le Hénaff, M., Kourafalou, V. H., Paris, C. B., Helgers, J., Aman, Z. M., Hogan, P. J., & Srinivasan, A. (2012). Surface Evolution of the Deepwater Horizon Oil Spill Patch: Combined Effects of Circulation and Wind-Induced Drift. Environ. Sci. Technol., 46(13), 7267–7273. doi:10.1021/es301570w

Berenshtein, I., Perlin, N., Murawski, S. A., Joye, S. B., & Paris, C. B. (2019). Evaluating the Effectiveness of Fishery Closures for Deep Oil Spills Using a Four-Dimensional Model. Scenarios and Responses to Future Deep Oil Spills, 390–402. doi:10.1007/978-3-030-12963-7_23

Berenshtein, I., Perlin, N., Ainsworth, C. H., Ortega-Ortiz, J. G., Vaz, A. C., & Paris, C. B. (2019). Comparison of the Spatial Extent, Impacts to Shorelines, and Ecosystem and Four-Dimensional Characteristics of Simulated Oil Spills. Scenarios and Responses to Future Deep Oil Spills, 340–354. doi:10.1007/978-3-030-12963-7_20

Purpose:

The dataset was developed to investigate the effects of the circulation and synthetic dispersants on the subsea oil transport, and to study the surface evolution of the Deepwater Horizon Oil Spill patch

Data Parameters and Units:

The files in the dataset are categorized into two subdirectories: data_LH_NoWind (M. Le Henaff simulation data without wind forcing) and data_LH_Wind (M. Le Henaff simulation data with wind forcing). Below is a list of attributes for found in each dataset file: Column 1 - Droplet ID; Column 2 - Age of Droplet (s); Column 3 - Longitude (dd); Column 4 - Latitude (dd); Column 5 - Depth (m); Column 6 - Droplet distance from origin (km); Column 7 - Droplet distance traveled (km); Column 8 - Droplet status [0 = The particle can still move; -1 = The particle left the model area. There will be no more output for this particle; -2 = The particle came too close to land. There will be no more output for this particle; -3 The particle is dead. There will be no more output for this particle; -4 = The particle is inside a polygon. There will be no more output for this particle; -5 = There are no oceanographic data files for this date. There will be no more output for this particle.]; Column 9 - Modeled day (JDN); Column 10 - Modeled Time (s); Column 11 - Droplet Diameter (m); Column 12 - Droplet Density (kg/m3).

Individual Files: