Skip to main content
Advanced Search

Filters: Tags: gulf of mexico (X)

553 results (80ms)   

Filters
Date Range
Extensions
Types
Contacts
Categories
Tag Types
Tag Schemes
View Results as: JSON ATOM CSV
thumbnail
Investigations of coastal change and coastal resources often require continuous elevation profiles from the seafloor to coastal terrestrial landscapes. Differences in elevation data collection in the terrestrial and marine environments result in separate elevation products that may not share a vertical datum. This data release contains the assimilation of multiple elevation products into a continuous digital elevation model at a resolution of 3-arcseconds (approximately 90 meters) from the terrestrial landscape to the seafloor for the contiguous U.S., focused on the coastal interface. All datasets were converted to a consistent horizontal datum, the North American Datum of 1983, but the native vertical datum for...
Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Alabama, CMGP, California, Canadian Hydrographic Service, Chesapeake Bay, All tags...
thumbnail
Sandy ocean beaches in the United States are popular tourist and recreational destinations and constitute some of the most valuable real estate in the country. The boundary between land and water along the coastline is often the location of concentrated residential and commercial development and is frequently exposed to a range of natural hazards, which include flooding, storm effects, and coastal erosion. In response, the U.S. Geological Survey (USGS) is conducting a national assessment of coastal change hazards. One component of this research effort, the National Assessment of Shoreline Change Project, documents changes in shoreline position as a proxy for coastal change. Shoreline position is an easily understood...
Categories: Data; Types: Citation, Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Bald Point State Park, CMGP, Coastal and Marine Geology Program, DSAS, Digital Shoreline Analysis System, All tags...
thumbnail
High resolution bathymetric, sea-floor backscatter, and seismic-reflection data were collected offshore of southeastern Louisiana aboard the research vessel Point Sur on May 19-26, 2017, in an effort to characterize mudflow hazards on the Mississippi River Delta front. As the initial field program of a research cooperative between the U.S. Geological Survey, the Bureau of Ocean Energy Management, and other Federal and academic partners, the primary objective of this cruise was to assess the suitability of sea-floor mapping and shallow subsurface imaging tools in the challenging environmental conditions found across delta fronts (for example, variably distributed water column stratification and widespread biogenic...
thumbnail
A 75,000 x 75,000 meter grid covering the Gulf of Mexico, created to identify possible areas of landfall of oil from the Deepwater Horizon oil spill. Using oil spill trajectories produced by the Ocean Circulation Group and the Optical Oceanography Laboratory at the College of Marine Science, University of South Florida, and protected areas data catalogued in PAD-US (CBI Edition) , we provide a preliminary attempt to identify ecological resources that may be affected by the spill. By overlaying these projected trajectories on a standardized grid, we can select areas that may contain oil from the spill, or are likely to contain oil in the future. We then identify protected areas that are likely to be most directly...
thumbnail
Roughly digitized version of the Deepwater Horizon oil spill trajectory ensemble forecast from different numerical models, a joint effort of the Ocean Circulation Group and the Optical Oceanography Laboratory at College of Marine Science, University of South Florida to track/predict the Deepwater Horizon oil spill in the Gulf of Mexico using simulated drifters/particles. More information on the projections can be found here (last checked 07/14/2010): http://ocg6.marine.usf.edu/~liu/oil_spill_ensemble_forecast.html This shapefile represents WFSROMS model output for particles for July 15, 2010 at 00 hour UTC, as reported on July 13, 2010.
thumbnail
High resolution bathymetric, sea-floor backscatter, and seismic-reflection data were collected offshore of southeastern Louisiana aboard the research vessel Point Sur on May 19-26, 2017, in an effort to characterize mudflow hazards on the Mississippi River Delta front. As the initial field program of a research cooperative between the U.S. Geological Survey, the Bureau of Ocean Energy Management, and other Federal and academic partners, the primary objective of this cruise was to assess the suitability of sea-floor mapping and shallow subsurface imaging tools in the challenging environmental conditions found across delta fronts (for example, variably distributed water column stratification and widespread biogenic...
thumbnail
Basin boundaries were delineated for 1,320 USGS streamgages located on tributaries and streams flowing to the Gulf of Mexico. Basins ranged in size from less than 1 to approximately 67,500 square miles. Physical and climatic basin characteristics were calculated using these boundaries. Data presented here will be used as independent variables to estimate streamflow characteristics and provide a numerical foundation supporting the: (1) development of statistical models of streamflow characteristics; (2) evaluation of spatial and temporal trends in streamflow characteristics; and (3) development of network optimization analysis.
thumbnail
Climate projection data were downloaded from the Climatewizard application for the coastal region for the Gulf of Mexico. Climate projection data represent the monthly, seasonal, and yearly mean for the time period of 2000-2050 for the following variables: AET:PET ratio, Moisture deficit, Moisture surplus, PET, Precipitation, Temperature, Rainfall Anomaly, and Standard Precipitation Index. In addition, models representing change in the average mean from period of (1961-1990) is available for each of the variables. Each projected variable is modeled using three different emission scenarios High (A1), Medium (A1B) and Low (B1).
thumbnail
This dataset is extracted from PAD-US 1.1 (CBI Edition), and the original metadata has been included here, below. These protected areas were roughly identified by the Conservation Biology Institute as being secondarily threatened by the Deepwater Horizon oil spill in the Gulf of Mexico. The probability of being affected was determined using the University of South Florida's Deepwater Horizon oil spill trajectory forecast from the WFS ROMS numerical model, as projected for 06/11/2010 at 00h UTC (http://ocg6.marine.usf.edu/~liu/oil_spill_ensemble_forecast.html). For more information, please see the Oil Spill in the Gulf of Mexico page at Data Basin (http://www.databasin.org/aquatic-center/features/oil-spill or http://www.databasin.org)....
thumbnail
Sandy ocean beaches in the United States are popular tourist and recreational destinations and constitute some of the most valuable real estate in the country. The boundary between land and water along the coastline is often the location of concentrated residential and commercial development and is frequently exposed to a range of natural hazards, which include flooding, storm effects, and coastal erosion. In response, the U.S. Geological Survey (USGS) is conducting a national assessment of coastal change hazards. One component of this research effort, the National Assessment of Shoreline Change Project, documents changes in shoreline position as a proxy for coastal change. Shoreline position is an easily understood...
thumbnail
Roughly digitized version of the Deepwater Horizon oil spill trajectory ensemble forecast from different numerical models, a joint effort of the Ocean Circulation Group and the Optical Oceanography Laboratory at College of Marine Science, University of South Florida to track/predict the Deepwater Horizon oil spill in the Gulf of Mexico using simulated drifters/particles. More information on the projections can be found here (last checked 07/11/2010): http://ocg6.marine.usf.edu/~liu/oil_spill_ensemble_forecast.html This shapefile represents WFSROMS model output for particles for July 11, 2010 at 00 hour UTC, as reported on July 8, 2010.
thumbnail
Roughly digitized version of the Deepwater Horizon oil spill trajectory ensemble forecast from different numerical models, a joint effort of the Ocean Circulation Group and the Optical Oceanography Laboratory at College of Marine Science, University of South Florida to track/predict the Deepwater Horizon oil spill in the Gulf of Mexico using simulated drifters/particles. More information on the projections can be found here (last checked 06/29/2010): http://ocg6.marine.usf.edu/~liu/oil_spill_ensemble_forecast.html This shapefile represents WFSROMS model output for particles for July 2, 2010 at 00 hour UTC, as reported on June 29, 2010.
thumbnail
The NOAA Hypoxia Watch project provides near-real-time, web-based maps of dissolved oxygen in milligrams per liter (mg/L) near the sea floor over the Texas-Louisiana continental shelf during a period that extends from mid-June to mid-July. The NOAA National Marine Fisheries Service Mississippi Laboratories at Pascagoula and Stennis Space Center and the NOAA National Coastal Data Development Center (NCDDC) at Stennis Space Center began the Hypoxia Watch project in 2001. Scientists aboard the NOAA Research Vessel Oregon II measure seawater properties, such as water temperature, salinity, chlorophyll, and dissolved oxygen at each of approximately 240 locations as the Oregon II cruises the waters south of Pascagoula,...
thumbnail
The goal of this project is to provide a preliminary overview, at a National scale, the relative susceptibility of the Nation's coast to sea- level rise through the use of a coastal vulnerability index (CVI). This initial classification is based upon the variables geomorphology, regional coastal slope, tide range, wave height, relative sea-level rise and shoreline erosion and accretion rates. The combination of these variables and the association of these variables to each other furnish a broad overview of regions where physical changes are likely to occur due to sea-level rise.
thumbnail
Sandy ocean beaches in the United States are popular tourist and recreational destinations and constitute some of the most valuable real estate in the country. The boundary between land and water along the coastline is often the location of concentrated residential and commercial development and is frequently exposed to a range of natural hazards, which include flooding, storm effects, and coastal erosion. In response, the U.S. Geological Survey (USGS) is conducting a national assessment of coastal change hazards. One component of this research effort, the National Assessment of Shoreline Change Project, documents changes in shoreline position as a proxy for coastal change. Shoreline position is an easily understood...


map background search result map search result map Deepwater Horizon Oil Spill Trajectory: WFSROMS 07/15/2010 Deepwater Horizon Oil Spill Trajectory: WFSROMS 07/11/2010 Deepwater Horizon Oil Spill Trajectory: WFSROMS 07/02/2010 PAD-US 1.1 (CBI Edition): Areas under secondary threat from the Deepwater Horizon Gulf of Mexico oil spill, determined by 06/11/2010 USF Trajectories. Projected Deepwater Horizon oil spill distribution, updated for 07/15/10 Gulf of Mexico Hypoxia Watch Bottom Dissolved Oxygen (mg/L) Contours for June and July 2007 Average and Change Rainfall Anomaly for Emissions Scenarios A2, A1B, and B1 for the Gulf of Mexico Wave Height Data for the Gulf of Mexico Gulf Hypoxia Workshops Elevation artifacts in digital bathymetric and topographic models for United States east (east_cdem_v1.tif) and west (west_cdem_v.tif) coasts (polygon shapefile, geographic, NAD83) Digital Shoreline Analysis System version 4.3 Transects with Short-Term Linear Regression Rate Calculations for Louisiana Digital Shoreline Analysis System version 4.3 Transects with Short-Term End Point Rate Calculations for Louisiana Shorelines of the Florida north (FLnorth) coastal region used in shoreline change analysis Basin characteristics for sites used in RESTORE Streamflow alteration assessments High-resolution geophysical data collected along the Mississippi River Delta front offshore of southeastern Louisiana, U.S. Geological Survey Field Activity 2017-003-FA Multibeam Echosounder, Reson T-20P tracklines, USGS field activity 2017-003-FA, Mississippi River Delta front offshore of southeastern Louisiana (Esri polyline shapefile, GCS WGS 84) Multibeam Echosounder, Reson T-20P tracklines, USGS field activity 2017-003-FA, Mississippi River Delta front offshore of southeastern Louisiana (Esri polyline shapefile, GCS WGS 84) High-resolution geophysical data collected along the Mississippi River Delta front offshore of southeastern Louisiana, U.S. Geological Survey Field Activity 2017-003-FA Digital Shoreline Analysis System version 4.3 Transects with Short-Term End Point Rate Calculations for Louisiana Digital Shoreline Analysis System version 4.3 Transects with Short-Term Linear Regression Rate Calculations for Louisiana Shorelines of the Florida north (FLnorth) coastal region used in shoreline change analysis Deepwater Horizon Oil Spill Trajectory: WFSROMS 07/15/2010 PAD-US 1.1 (CBI Edition): Areas under secondary threat from the Deepwater Horizon Gulf of Mexico oil spill, determined by 06/11/2010 USF Trajectories. Deepwater Horizon Oil Spill Trajectory: WFSROMS 07/11/2010 Deepwater Horizon Oil Spill Trajectory: WFSROMS 07/02/2010 Gulf of Mexico Hypoxia Watch Bottom Dissolved Oxygen (mg/L) Contours for June and July 2007 Wave Height Data for the Gulf of Mexico Average and Change Rainfall Anomaly for Emissions Scenarios A2, A1B, and B1 for the Gulf of Mexico Basin characteristics for sites used in RESTORE Streamflow alteration assessments Projected Deepwater Horizon oil spill distribution, updated for 07/15/10 Gulf Hypoxia Workshops Elevation artifacts in digital bathymetric and topographic models for United States east (east_cdem_v1.tif) and west (west_cdem_v.tif) coasts (polygon shapefile, geographic, NAD83)