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Lagrangian particle tracker with random walk diffusion simulation: Oil concentration of the Deepwater Horizon oil spill from June 21 to July 11, 2010Integrated Assessment of Oil Spill
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Suggested Citation:
Fitzpatrick, Patrick, and Yee Lau (2014) Lagrangian particle tracker with random walk diffusion simulation: Oil concentration of the Deepwater Horizon oil spill from June 21 to July 11, 2010. Distributed by: Gulf of Mexico Research Initiative Information and Data Cooperative (GRIIDC), Harte Research Institute, Texas A&M University-Corpus Christi. doi:10.7266/N76H4FDQ
Abstract:
The simulation is based on a Lagrangian particle tracker with random walk diffusion model. Input consists of latitude and longitude positions of parcels in the oil contaminated area, wind, current, and a large array of random numbers. In addition, new parcels are released at the location of the damaged Macondo rig. Twenty-five parcels are released at each position, and when combined with the diffusion coefficient (set to 10m2/s) results in a natural spread of the parcels with time. The parcel location is based on NASA MODIS satellite imagery, SAR imagery and NOAA oil trajectory maps. The parcels are advected at 80% of the ocean current speed and at 3% of the wind speed. Bilinear interpolation is applied at each timestep to determine the currents and winds at each parcel position. The pseudo-random numbers are uniformly distributed between 0 and 1 and generated by the efficient Mersenne Twister algorithm. The 10-m wind and near-surface ocean currents are provided from an operational, data assimilating forecast system run by the Naval Oceanographic Office called the Navy Coastal Ocean Model (NCOM) in the Intra-Americas Sea domain which covers the Gulf of Mexico and the Caribbean, interpolated to a 3-km Cartesian grid. NCOM assimilates water temperature, salinity analyses, and satellite altimeter data, and the Coupled Ocean-Atmosphere Prediction System (COAMPS) provides the atmospheric forcing. An examination of NCOM data and the oil spill simulation, as well as in-situ data from buoys, weather reanalysis maps, tide gauge data, scatterometer data, and HF radar show that two weather systems altered the currents and water levels such that oil was pushed into the western Mississippi Sound and the Rigolets. An easterly wind fetch from intensifying Hurricane Alex provided the first inland push, followed by a westward-drifting non-tropical low which had formed off the western edge of a Gulf cold front. In both cases, a generally weak pressure gradient was replaced by strong easterly winds which not only switched westerly coastal currents to an easterly direction, but also increased inland water levels by 0.6-0.8 m. These results show that cyclones located west of the oil spill can dramatically alter oil transport. Use constraints: We request that you acknowledge the Northern Gulf Institute as the source of this information. Mississippi State University makes no warranty regarding these data, expressed or implied, nor does the distribution constitute such a warranty. Mississippi State University can not assume liability for any damages caused by any errors or omissions in these data, nor as a result of the failure of these data to function on a particular system.
Purpose:
The Deepwater Horizon oil spill impacted the Mississippi River Delta, Barataria Bay, the barrier islands east of Louisiana, and the Alabama and Florida coast for an extended period of time from May through July. However, the Rigolets and western Mississippi coast were impacted for a briefer period from late June to early July. An important component to understanding the oil transport is to distinguish the influences behind this apex moment. A simulation was conducted for the period June 21 to July 11, 2010 to understand this inland transport.
Theme Keywords:
inland transport, Lagrangian particle tracker, BP oil spill, Macondo Rig, random walk diffusion, oil spill simulation, surface oil dispersion
File Format:
wmv, txt
Filename:
oilSpillOutput_2010062121-2010071100.tar.gz (7.47 MB)
Dataset Downloads:
2
Lagrangian particle tracker with random walk diffusion simulation: Oil concentration of the Deepwater Horizon oil spill from June 21 to July 11, 2010
Identification Information
Distribution Information
Metadata Maintenance Information
Metadata:
File identifier:
Y1.x024.009-0001-metadata.xml
Language:
eng; USA
Character set:
Character set code:
utf8
Hierarchy level:
Scope code:
dataset
Metadata author:
Responsible party:
Individual name:
Patrick Fitzpatrick
Organisation name:
Mississippi State University / Geosystems Research Institute
Position name:
Associate Research Professor
Contact info:
Contact:
Phone:
Telephone:
Voice:
2286881157
Facsimile:
Address:
Address:
Delivery point:
1021 Balch Blvd
City:
Stennis Space Center
Administrative area:
Mississippi
Postal code:
39529
Country:
USA
Electronic mail address:
fitz@gri.msstate.edu
Role:
Role code:
pointOfContact
Date stamp:
2018-08-11T13:28:16+00:00
Metadata standard name:
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
Metadata standard version:
ISO 19115-2:2009(E)
Dataset URI:
https://data.gulfresearchinitiative.org/metadata/Y1.x024.009:0001
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Identification info:
Data identification:
Citation:
Citation:
Title:
Lagrangian particle tracker with random walk diffusion simulation: Oil concentration of the Deepwater
Horizon oil spill from June 21 to July 11, 2010
Alternate title:
Deepwater Horizon Oil Spill Simulation from June 21 to July 11, 2010, Northern Gulf Institute, MSU, MS
Date:
Date:
Date:
2014-06-09
Date type:
Date type code:
publication
Abstract:
The simulation is based on a Lagrangian particle tracker with random walk diffusion model. Input consists of
latitude and longitude positions of parcels in the oil contaminated area, wind, current, and a large array
of random numbers. In addition, new parcels are released at the location of the damaged Macondo rig.
Twenty-five parcels are released at each position, and when combined with the diffusion coefficient (set to
10m2/s) results in a natural spread of the parcels with time. The parcel location is based on NASA MODIS
satellite imagery, SAR imagery and NOAA oil trajectory maps. The parcels are advected at 80% of the ocean
current speed and at 3% of the wind speed. Bilinear interpolation is applied at each timestep to determine
the currents and winds at each parcel position. The pseudo-random numbers are uniformly distributed between
0 and 1 and generated by the efficient Mersenne Twister algorithm. The 10-m wind and near-surface ocean
currents are provided from an operational, data assimilating forecast system run by the Naval Oceanographic
Office called the Navy Coastal Ocean Model (NCOM) in the Intra-Americas Sea domain which covers the Gulf of
Mexico and the Caribbean, interpolated to a 3-km Cartesian grid. NCOM assimilates water temperature,
salinity analyses, and satellite altimeter data, and the Coupled Ocean-Atmosphere Prediction System (COAMPS)
provides the atmospheric forcing. An examination of NCOM data and the oil spill simulation, as well as
in-situ data from buoys, weather reanalysis maps, tide gauge data, scatterometer data, and HF radar show
that two weather systems altered the currents and water levels such that oil was pushed into the western
Mississippi Sound and the Rigolets. An easterly wind fetch from intensifying Hurricane Alex provided the
first inland push, followed by a westward-drifting non-tropical low which had formed off the western edge of
a Gulf cold front. In both cases, a generally weak pressure gradient was replaced by strong easterly winds
which not only switched westerly coastal currents to an easterly direction, but also increased inland water
levels by 0.6-0.8 m. These results show that cyclones located west of the oil spill can dramatically alter
oil transport. Use constraints: We request that you acknowledge the Northern Gulf Institute as the source of
this information. Mississippi State University makes no warranty regarding these data, expressed or implied,
nor does the distribution constitute such a warranty. Mississippi State University can not assume liability
for any damages caused by any errors or omissions in these data, nor as a result of the failure of these
data to function on a particular system.
Purpose:
The Deepwater Horizon oil spill impacted the Mississippi River Delta, Barataria Bay, the barrier islands east
of Louisiana, and the Alabama and Florida coast for an extended period of time from May through July.
However, the Rigolets and western Mississippi coast were impacted for a briefer period from late June to
early July. An important component to understanding the oil transport is to distinguish the influences
behind this apex moment. A simulation was conducted for the period June 21 to July 11, 2010 to understand
this inland transport.
Status:
Progress code:
completed
Point of contact:
Responsible party:
Individual name:
Patrick Fitzpatrick
Organisation name:
Mississippi State University / Geosystems Research Institute
Position name:
Associate Research Professor
Contact info:
Contact:
Phone:
Telephone:
Voice:
2286881157
Facsimile:
Address:
Address:
Delivery point:
1021 Balch Blvd
City:
Stennis Space Center
Administrative area:
Mississippi
Postal code:
39529
Country:
USA
Electronic mail address:
fitz@gri.msstate.edu
Role:
Role code:
pointOfContact
Descriptive keywords:
Keywords:
Keyword:
inland transport
Keyword:
Lagrangian particle tracker
Keyword:
BP oil spill
Keyword:
Macondo Rig
Keyword:
random walk diffusion
Keyword:
oil spill simulation
Keyword:
surface oil dispersion
Type:
Keyword type code:
theme
Descriptive keywords:
Keywords:
Keyword:
Rigolets
Keyword:
western Mississippi coast
Keyword:
Mississippi River Delta
Keyword:
Barataria Bay
Keyword:
barrier islands
Keyword:
Louisiana coast
Keyword:
Alabama coast
Keyword:
Florida coast
Type:
Keyword type code:
place
Language:
eng; USA
Topic category:
Topic category code:
oceans
Topic category:
Topic category code:
environment
Extent:
Extent:
Geographic element:
Geographic bounding box:
West bound longitude:
-92
East bound longitude:
-85
South bound latitude:
26
North bound latitude:
31
Geographic element:
BoundingPolygon:
Polygon:
Polygon:
Outer boundary:
Linear ring:
gml:posList:
31 -92 31 -85 26 -85 26 -92 31 -92
Temporal element:
Temporal extent:
Extent:
Time period:
Description:
modeled period
Begin date:
2010-06-21
End date:
2010-07-11
Supplemental Information:
wmv movie of oil concentration in the Northern Gulf of Mexico. txt files with latitude (decimal degrees),
longitude (decimal degrees), oil concentration in the water (percentage with values from 0 to 1). The
simulation is based on a Lagrangian particle tracker with random walk diffusion model. Input consists of
latitude and longitude positions of parcels in the oil contaminated area, wind, current, and a large array
of random numbers. In addition, new parcels are released at the location of the damaged Macondo rig.
Twenty-five parcels are released at each position, and when combined with the diffusion coefficient (set to
10m2/s) results in a natural spread of the parcels with time. The parcel location is based on NASA MODIS
satellite imagery, SAR imagery and NOAA oil trajectory maps. The parcels are advected at 80% of the ocean
current speed and at 3% of the wind speed. Bilinear interpolation is applied at each timestep to determine
the currents and winds at each parcel position. The pseudo-random numbers are uniformly distributed between
0 and 1 and generated by the efficient Mersenne Twister algorithm. The 10-m wind and near-surface ocean
currents are provided from an operational, data assimilating forecast system run by the Naval Oceanographic
Office called the Navy Coastal Ocean Model (NCOM) in the Intra-Americas Sea domain which covers the Gulf of
Mexico and the Caribbean, interpolated to a 3-km Cartesian grid. NCOM assimilates water temperature,
salinity analyses, and satellite altimeter data, and the Coupled Ocean-Atmosphere Prediction System (COAMPS)
provides the atmospheric forcing. An examination of NCOM data and the oil spill simulation, as well as
in-situ data from buoys, weather reanalysis maps, tide gauge data, scatterometer data, and HF radar show
that two weather systems altered the currents and water levels such that oil was pushed into the western
Mississippi Sound and the Rigolets. An easterly wind fetch from intensifying Hurricane Alex provided the
first inland push, followed by a westward-drifting non-tropical low which had formed off the western edge of
a Gulf cold front. In both cases, a generally weak pressure gradient was replaced by strong easterly winds
which not only switched westerly coastal currents to an easterly direction, but also increased inland water
levels by 0.6-0.8 m. These results show that cyclones located west of the oil spill can dramatically alter
oil transport. NASA MODIS satellite imagery, SAR imagery from http://www.cstars.miami.edu (login now
required, contact University of Miami for detail) ; Archived NOAA oil trajectory maps at
http://www.noaa.gov/deepwaterhorizon/maps/index.html ; Current and archived NCOM AMSEAS data from
http://edac-dap3.northerngulfinstitute.org/thredds/catalog/AmSeas/catalog.html|||||
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Distribution info:
Distribution:
Distributor:
Distributor:
Distributor contact:
Responsible party:
Organisation name:
Gulf of Mexico Research Initiative Information and Data Cooperative (GRIIDC)
Contact info:
Contact:
Phone:
Telephone:
Voice:
3618253604
Address:
Address:
Delivery point:
6300 Ocean Drive
City:
Corpus Christi
Administrative area:
TX
Postal code:
78412
Country:
USA
Electronic mail address:
griidc@gomri.org
Online Resource:
Online Resource:
Linkage:
URL:
https://data.gulfresearchinitiative.org
Role:
Role code:
distributor
Distributor format:
Format:
Name:
wmv, txt
Version:
inapplicable
File decompression technique:
tar, gz
Distributor transfer options:
Digital transfer options:
Transfer size:
7.471
Online:
Online Resource:
Linkage:
URL:
http://data.gulfresearchinitiative.org/data/Y1.x024.009:0001
Protocol:
https
Name:
Data Landing Page
Description:
GRIIDC dataset landing page
Function:
Online function code:
information
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Metadata maintenance:
Maintenance information:
Maintenance and update frequency:
unknown
Maintenance note:
This ISO metadata record was automatically generated from information provided to GRIIDC for dataset:
Y1.x024.009:0001 on 2019-03-22T17:14:21+00:00
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