Claire Paris-Limouzy

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 Paris, C. B., Henaff, M., Aman, Z. M., Subramanian, A., Helgers, J., Wang, D. P., Kourafalou, V. H., Srinivasan, A. 2012. "Evolution of the Macondo Well Blowout: Simulating the Effects of the Circulation and Synthetic Dispersants on the Subsea Oil Transport." Environmental Science and Technology 46: 13293–13302. doi: 10.1021/es303197h In addition, this dataset is closely related to C-IMAGE dataset R1.x135.117:0003 titled “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” (https://data.gulfresearchinitiative.org/data/R1.x135.117:0003); with the differences being in the number of fractionations of hydrocarbons (8 for dataset R1.x135.117:000 and 3 for R1.x135.117:0003) and the wind-forcing scenarios used in the simulations. With the wind forcing in dataset R1.x135.117:0003, the surface slicks of oil are moved using a Stokes drift equation. Therefore the top 0-20 meters are also different.

Comments

Supplemental Information

The files in the dataset are categorized into four subdirectories: P_NOW (C. Paris simulation data without wind forcing), P_W (C. Paris simulation data with wind forcing), data_LH_NoWind (M. Le Henaff simulation data without wind forcing), 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);|||||

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.

Keywords

Oil trajectories, surface and subsea oil transport, Near and Far field modeling

UDI

R1.x135.117:0002

Date

11-7-2016 12:00 AM

Point of Contact

Claire B. Paris-Limouzy
University of Miami / Rosenstiel School of Marine and Atmospheric Science
cparis@rsmas.miami.edu

Funding Source

RFP-1

DOI

10.7266/N7MC8X2W

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