This dataset includes Level 1B (L1B) and Level 2 (L2) data products from the MODIS/ASTER Airborne Simulator (MASTER) instrument. The raw data were collected during 9 flights aboard a NASA ER-2 aircraft over the Gulf of Mexico and portions of California, Colorado, Arizona, Utah, Idaho, New Mexico, Texas, Arkansas, Illinois, Wisconsin, Michigan, Louisiana, Mississippi, and Florida from 2010-07-31 to 2010-09-01. A primary purpose of this deployment was to collect imagery related to the Deepwater Horizon-BP Oil Spill that occurred in late April 2010 in the Gulf of Mexico. Data products include L1B georeferenced multispectral imagery of calibrated radiance in 50 bands covering wavelengths of 0.460 to 12.879 micrometers at approximately 50-meter spatial resolution. Derived L2 data products are emissivity in 5 bands in thermal infrared range (8.58 to 12.13 micrometers) and land surface temperature. The L1B file format is HDF-4, and L2 products are provided in ENVI and KMZ formats. In addition, the dataset includes the flight path, spectral band information, instrument configuration, ancillary notes, and summary information for each flight, and browse images derived from each L1B data file.

Mississippi Canyon 252 wellhead location. Coordinates were from ERMA (http://gomex.erma.noaa.gov/ERMA/metadata?layer_id=5723).

A composite of "NESDIS anomalies" showing potential oil on surface of water in Gulf of Mexico. Developed by NOAA SMU by merging other NESDIS anomaly files developed by NOAA/NESDIS/OSDPD/SSD/Satellite Analysis Branch. The area covered by the composite is larger than the area for any individual image; the composite indicates indications of oil for one or more days within the observation period (April 28, 2010 to August 21, 2010).

This composite disregards the NESDIS anomaly from 18-May-10 1400 CDT due to an error in the original NESDIS analysis. It also uses a revised analysis for 5/17/2010 2348Z (1848 CDT), 5/18/2010 0348Z (5/17/10 2248 CDT), and 5/21/2010 1611Z (1111 CDT)

This map shows the oil trajectory and estimated beach oil in response to the Deepwater Horizon oil spill on 01-May-2010. Further details on the report can be acquired on ERMA. This forecast is based on the NWS spot forecast from Friday, April 30 PM. Currents were obtained from the NOAA Gulf of Mexico model, TexasA&M/TGLO, and NAVO models. Data Source: https://erma.noaa.gov/gulfofmexico/erma.html#/layers=1+31937+31936&x=-88.64153&y=29.14656&z=9&panel=layer

This dataset provides estimates of hours of oil exposure along the Gulf Coast region extending from 86W to 92W for the time period of 16 April and 14 August 2010. A lagrangian modeling approach, utilizing daily NOAA satellite derived analysis of oil surf.

This collection contains Environmental Response Management Application (ERMA) GIS layers used as part of the Programmatic Damage Assessment and Restoration Plan (PDARP), including outputs from Synthetic Aperture Radar (SAR) imagery, helicopter flights surveys (observations) of marine mammal and turtles, Mississippi Canyon 252 wellhead location, wellhead buffers, and supporting bathymetric contour data, infrared and photographic images from EPA's airborne spectral photometric environmental collection technology (ASPECT) with geospatial, chemical and radiological information, boom-related response observations, nearshore tissue and sediment samples, forensic and Total Polycyclic Aromatic Hydrocarbon (TPAH) results, stranded oil forensic classification data, and other types of chemistry data, Submerged Aquatic Vegetation (SAV) classifications, seabed sampling and transect data, sample locations for workplan cruises, deep-sea area injury toxicity results and total polycyclic aromatic hydrocarbon (TPAH) results, habitat injury zones, footprint impacts on mesophotic reef resources and other types of benthic habitat data, overflight imagery of the flight path for the NOAA King Air flights taken in October of 2010 and contains post-oiling images collection in support of Natural Resource Damage Assessment (NRDA) marsh monitoring, turtle survey overflight observations, loggerhead sea turtle density grids, sea turtle capture observations and transect analysis, sea turtle strandings, as well as probabilities of oiling and other related datasets, trawl locations, Southeast Area Monitoring and Assessment Program (SEAMAP) plankton trawls, workplan cruise samples, and other related data, delineation of the areas impacted with additional fresh water due to the opening of the diversions in 2011 as part of the Deepwater Horizon oil spill response, surface shoreline oiling characteristics as observed by field surveys performed by Shoreline Cleanup Assessment Techniques (SCAT) teams, marine mammal surveys, observations, telemetry and abundance data including Cytochrome P450 (CYP) dolphin analysis, population and abundance datasets, telemetry, wildlife and aerial observations, bathymetry estimates, and other related Marine Mammal field observations and surveys, presence and spatial distribution of synthetic-based mud (SBM) in deep-sea sediments around the Macondo well, surface sediment, residual kriging, and other oiling analytical data, oyster recruitment and abundance sampling results, estimates of subtidal habitat, estimates of oyster resource, seafloor substrate mapping layers, percent cover, nearshore and subtidal quadrat abundance data, and other related datasets, shoreline exposure model for beach and marsh oiling, wave exposure, habitat classifications, wetland monitoring datasets, and related shoreline datasets, compilation of all the individual Texture Classifying Neural Network Algorithm (TCNNA) days from Synthetic Aperture Radar (SAR) satellite polygons, a variety of cumulative oiling datasets including the Texture Classifying Neural Network Algorithm (TCNNA) from Synthetic Aperture Radar (SAR) satellite polygon layers, burn locations, dispersant operation datasets including estimations of where aerial dispersants were applied via aerial flight paths, dispersant airport locations, daily flight tracks, and vessel dispersant tracks, as well as locations of subsurface dispersant data, marine mammal surveys, observations, telemetry and abundance data collected including synoptic surveys, helicopter surveys, Cytochrome P450 (CYP) dolphin analysis, population and abundance datasets, telemetry, wildlife and aerial observations, bathymetry estimates, other related marine mammal field observations and surveys, and sea turtle data, and other data related to the Deepwater Horizon oil spill in the Northern Gulf of Mexico. Some of these data were collected during the response to the Mississippi Canyon 252 Deepwater Horizon oil spill in the Northern Gulf of Mexico.

The goal of this project is to develop an interdisciplinary topic map to facilitate understanding and research of the impact of the Gulf of Mexico Oil Spill Incident. Two sub- topic maps are to be developed, a generic, basic-level one for the general public, journalists, and government officials; and a specific, interdisciplinary one for oil spill researchers. The specific, interdisciplinary topic map is expected to not only facilitate understanding of the specific impacts, but will also facilitate knowledge discovery through interdisciplinary knowledge fusion. Presentation Yejun Wu, Amanda Lehman, David Dunaway, and Rachel Gifford, 2013. Interdisciplinary oil spill taxonomy and topic map. Gulf of Mexico Oil Spill & Ecosystem Science Conference (organized by Gulf of Mexico Research Initiative), January 21-13, 2013. New Orleans, LA. Oil Spill Topic Map Visualization Search Tool link: http://oilspilltopics.wordpress.com/

Oceanographic data were collected aboard the PISCES in the Gulf of Mexico from 2010-07-26 to 2010-07-29 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. More specific information about each data set is located in their individual metadata records. This data set contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0084594)

Unknown oceanographic data were collected aboard the Ridley Thomas in the Gulf of Mexico from 2010-06-26 to 2010-06-29 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include unknown data types. The instruments used to collect these data included unknown instruments along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0084612)

The Restoration Theme Map shows habitat restoration projects cataloged in the Deepwater Horizon Project Tracker, which provides a comprehensive map and key information on restoration and recovery projects funded by the Deepwater Horizon oil spill settlements, fines, and other payouts. Data on this map are developed and maintained by the Deepwater Horizon Project Tracker with information directly from the project funders.

Web Map DetailsThis Web Map contains the DWH MDBC Restoration Portfolio Expedition Working Areas, 2021–2024 (for StoryMap) Feature Layer, which depicts the locations of the 2021–2024 Deepwater Horizon (DWH) Mesophotic and Deep Benthic Communities (MDBC) Restoration Portfolio field activities, and the DWH MDBC Restoration Portfolio Gulf Reference Areas (for StoryMap) Feature Layer, which contains point and polygon layers representing three important locations and/or regulated areas in the Gulf: the location of the Deepwater Horizon Wellhead, National Marine Sanctuary boundaries, and Habitat Areas of Particular Concern. It supports the Mesophotic and Deep Benthic Communities Expeditions StoryMap, where more details about each expedition can be found.Mesophotic and Deep Benthic Communities Restoration BackgroundIn 2010, the Deepwater Horizon (DWH) oil spill occurred off the coast of Louisiana. It became the largest offshore oil spill in U.S. history, causing extensive natural resource injuries across the northern Gulf of America (formally known as Gulf of Mexico). Since the damaged wellhead was about 5,000 feet below the surface, a portion of the 134 million gallons of oil that spilled from it stayed in the deep sea. As a result, the oil spill injured more than 770 square miles of deep-sea habitat.After the DWH oil spill, federal and state agencies formed the Deepwater Horizon Natural Resource Damage Assessment Trustee Council (DWH Trustees) to assess the impacts and identify actions to restore injured habitats, species, and the services they provide. From this assessment, a comprehensive restoration plan was developed to put the $8.8 billion in funds from the 2016 settlement with BP to work for the Gulf. One restoration type the DWH Trustees identified in the open ocean focuses on an important ecosystem along the seafloor: Mesophotic and Deep Benthic Communities (MDBC).To restore these important habitats, the DWH trustees identified three goals:Improve understanding of mesophotic and deep-sea communities to inform better management and ensure resiliency.Restore mesophotic and deep benthic invertebrate and fish abundance and biomass for injured species, focusing on high-density mesophotic and deep-water coral sites and other priority hard-ground areas to provide a continuum of healthy habitats from the coast to offshore.Actively manage valuable mesophotic and deep-sea communities to protect against multiple threats and provide a framework for monitoring, education, and outreach.Four interconnected projects were selected to meet the goals of MDBC restoration: Mapping, Ground-Truthing, and Predictive Habitat Modeling; Habitat Assessment and Evaluation; Coral Propagation Technique Development; and Active Management and Protection. Learn more about each of these projects on the NOAA Fisheries Mesophotic and Deep Benthic Communities Restoration page.Flower Garden Banks National Marine Sanctuary boundaries downloaded from: https://sanctuaries.noaa.gov/library/imast_gis.htmlGulf Habitat Areas of Particular Concern boundaries downloaded from: https://www.habitat.noaa.gov/protection/efh/newInv/data/gulf_of_mexico/gulf_hapc.zipDeepwater Horizon wellhead location sourced from: https://www.bsee.gov/sites/bsee.gov/files/reports/safety/2-deepwaterhorizon-roi-uscg-volume-i-20110707-redacted-final.pdfNOAA Accessibility Statement: https://www.noaa.gov/accessibilityThis website uses Esri mapping and spatial analytics software. Accessibility Conformance Reports (ACR®) for Esri products, solutions, and services are available on the Esri website. More on Esri's commitment to Section 508 compliance is located on their accessibility page along with a page of frequently asked accessibility questions for their products.NOAA Privacy Policy: https://www.noaa.gov/protecting-your-privacy

Profile and underway oceanographic data were collected aboard the GORDON GUNTER in the Gulf of Mexico from 2010-07-21 to 2010-07-24 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include current speed - east/west component (U) and current speed - north/south component (V). The instruments used to collect these data included ADCP along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. The Acoustic Doppler Current Profiler ADCP used sonar to measure and record water current velocities and the distribution of suspended material over a range of depths. Absolute U- and V-component ocean current vectors from the ADCP collected can be used to create detailed maps of the distribution of water currents and suspended materials through the water column along the ship's path. The data from this ADCP is raw and unprocessed. Some of the datasets associated with this instrument are still incomplete and will be published as they become available. This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0081186)

This dataset contains Rayleigh corrected reflectance data from 19 MODIS images collected between April and July 2010, along with their corresponding maps of surface oil volume, maps of relative oil thickness of different classes, and maps of probability distributions of different thicknesses. Surface oil was estimated by spatially scaling up AVIRIS observations to synoptic MODIS measurements, which were the used to derived oil classification and probability maps.

The most widely used approach to sensitive environment mapping in the U.S. is NOAA's Environmental Sensitivity Index (ESI). This approach systematically complies information in standard formats for coastal shoreline sensitivity, biological resources, and human-use resources. ESI maps are useful for identifying sensitive resources before a spill occurs so that protection priorities can be established and cleanup strategies designed in advance. Using ESIs in spill response and planning reduces the environmental consequences of the spill and cleanup efforts. This data product includes data presented as GIS project files, MOSS files, extensive metadata and documentation, and .PDF maps for non-GIS users. ESI MAPS SHOULD NOT BE USED FOR NAVIGATION.

These files comprise modifications and additions to earlier releases of ESI atlases developed for the Gulf of Mexico region which are also archived at the NODC under separate accession numbers - Gulf of Mexico (Alabama 2007, Louisiana 2003, Mississippi 1997) under NODC accession number 0036821, and Florida 1995-997 under NODC accession number 0014187. The PDF maps included on this release for the upper Texas coast are also available as an earlier product filed under NODC accession number 0046089.

This release for the Gulf of Mexico ESI atlas was produced in May 2010. Specifically, it includes 1. New ESI data for Mississippi published in hard copy format in December, 2009, 2. Modifications to data layers in the Louisiana GIS data, 3. Adds the Florida ESI Geodatabase and PDFs to the DVD, and replaces the ESI, ESIP, hydro, and Hydrol data layers with updated shoreline data collected in 2003. 4. Upper coast Texas PDFs were included on this DVD release.

Imagery, laboratory analysis and sediment analysis oceanographic data were collected aboard the GYRE in the Gulf of Mexico from 2010-09-13 to 2010-09-16 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include sediment properties. The instruments used to collect these data included sediment sampler - corer along with other physical sampling devices. More specific information about each dataset is located in their individual metadata records. Sediment cores were analyzed for physical characteristics, and recorded in photos and data files. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers.

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.

This dataset reports near-surface currents and sea surface roughness derived from X-band radar aboard R/V Walton Smith cruise WS17107 near the Taylor Energy oil leak site, Gulf of Mexico from 2017-04-19 to 2017-04-21. This data was collected during the CARTHE II sponsored Submesoscale Processes and LAgrangian Analysis on the SHelf (SPLASH) experiment in the northern Gulf of Mexico. It was obtained from a coherent-on-receive marine X-band (9.5 GHz) radar (Braun et al., 2008), developed at Helmholtz Zentrum Geesthacht (HZG), Germany. The data includes backscatter images collected every 2-min that can be used to identify surface features such as fronts. The data also includes current velocity maps obtained by processing series of these images using 3-D Fast Fourier Transforms (FFTs) and overlays of the current maps over averaged backscatter images. This data was collected in the region of the abandoned Taylor Energy platform in the northern Gulf of Mexico. The data includes radar backscatter images as well as derived surface velocity maps. This dataset supports the publication: Androulidakis, Y., Kourafalou, V., Özgökmen, T., Garcia‐Pineda, O., Lund, B., Le Hénaff, M., Hu, C., Haus, B.K., Novelli, G., Guigand, C. and Kang, H., 2018. Influence of River‐Induced Fronts on Hydrocarbon Transport: A Multiplatform Observational Study. Journal of Geophysical Research: Oceans. doi:10.1029/2017jc013514

Chemical, physical, profile and underway oceanographic data were collected aboard NOAA Ship GORDON GUNTER in the Gulf of Mexico from 2010-07-08 to 2010-07-16 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include conductivity, current speed - east/west component (U), current speed - north/south component (V), dissolved oxygen, hydrostatic pressure, salinity, sound velocity, temperature and water density. The instruments used to collect these data included ADCP, CTD and oxygen meter along with other physical sampling devices. More specific information about each dataset is located in their individual metadata records. The Acoustic Doppler Current Profiler ADCP used sonar to measure and record water current velocities and the distribution of suspended material over a range of depths. Absolute U- and V-component ocean current vectors from the ADCP collected can be used to create detailed maps of the distribution of water currents and suspended materials through the water column along the ship's path. The data from this ADCP is raw and unprocessed. Some of the datasets associated with this instrument are still incomplete and will be published as they become available. This dataset also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. The CTD data underwent preliminary quality assurance and control procedures at the National Coastal Data Development Center (NCDDC). Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers.

This dataset is associated with the publication: Hou, X., Hodges, B.R., Feng, D., & Liu, Q. 2017. Uncertainty quantification and reliability assessment in operational oil spill forecast modeling system. Mar. Pollut. Bull. 116(1-2): 420-433. https://doi.org/10.1016/j.marpolbul.2017.01.038. The dataset contains the simulation result of Hyospy system of all the case studies as indicated in the publication. The running period of the system is from 7/26/2014-4/11/2015, while the oil spill model runs a 48 hours simulation at each date during this period. The data is distributed into several folders with each under the name of the running date. In each folder, there includes the setup information of the Hyospy system, the input and output of the hydrodynamic model (SELFE), the input and output of the oil spill model (GNOME). For example, in the folder 1_29_2015, there are scripts of the Hyospy system, among which hydro.py defines the setup information and parameters. In each folder, there are 17 sub-folders, each of which represents the input and output of the hydrodynamic model with various weightings of forecast and hindcast boundary conditions. In the folder GNOME, the hydrodynamic outputs are transformed to those can be read by GNOME. More details of the structure of this dataset can be found on Github: https://github.com/utcivil/HyosPy.

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. We request that you acknowledge the Northern Gulf Institute as the source of this information.

Unknown oceanographic data were collected aboard the THOMAS JEFFERSON in the Gulf of Mexico from 2010-05-23 to 2010-05-28 in response to the Deepwater Horizon Oil Spill event on April 20, 2010, by the Subsurface Monitoring Unit (SMU), which consisted of multiple government and corporate agencies. These data include unknown data types. The instruments used to collect these data included unknown instruments along with other physical sampling devices. More specific information about each data set is located in their individual metadata records. This data set also contains products created for use in real time analysis and decision support. These products may include charts, graphs, maps, plots, and GIS formatted data files. Cruise level information consisting of data management documents, cruise reports and plans, videos and pictures, and other miscellaneous documentation were gathered by the data managers. (NODC Accession 0084596)