Summary

Summary

Summary

Description

This dataset contains an ESRI Grid representing the rugosity of the bathymetry of Buck Island channel, along the north shore of St. Croix, US Virgin Islands, based on a 10m bathymetric grid. Rugosity is defined as the ratio of surface area to planar area and is used as a measure of benthic terrain complexity or "roughness". Rugosity values near 1 represent flat, smooth terrain, while higher values reflect increasing rugosity or terrain roughness. For rugosity grid interpretation, is is recommended that the grid be reclassified according to standard deviation divisions.NOAA's NOS/NCCOS/CCMA Biogeography Team, in collaboration with NOAA vessel Nancy Foster and territory, federal, and private sector partners, acquired multibeam bathymetry data in the US Virgin Islands from 2/1/05 to 2/12/05. Data was acquired with a pole-mounted Reson 8101 ER multibeam echosounder (240 kHz) and processed by a NOAA contractor using CARIS HIPS v5.4 software. Data has all correctors applied (attitude, sound velocity) and has been reduced to mean lower low water (MLLW) using final approved tides and zoning from NOAA COOPS. Data is in UTM zone 20 north, datum NAD83. The processed CARIS data was used to generate a CARIS BASE surface based on swath angle. An ASCII XYZ file was exported from the BASE surface and opened in ESRI ArcMap 9 as an XY event. Then the ArcToolbox conversion tool 'Feature to Raster' was used to generate an ESRI Grid of bathymetry. The Benthic Terrain Modeller (BTM) tool, a collection of ArcGIS terrain visualization tools developed by the Oregon State University (OSU) Department of Geosciences and the National Oceanic and Atmospheric Administration (NOAA) Coastal Services Center, was used to calculate the rugosity of that bathymetric grid. More information on the specific algorithms used can be found in the BTM's documentation.The project was conducted to meet IHO Order 1 and 2 accuracy standards, dependant on the project area and depth. All users should individually evaluate the suitability of this data according to their own needs and standards.

Summary

Description

Environmental Sensitivity Index (ESI) maps are an integral component in oil-spill contingency planning and assessment. They serve as a source of information in the event of an oil spill incident. ESI maps contain three types of information: shoreline habitats (classified according to their sensitivity to oiling), sensitive biological resources, and human-use resources. Most often, this information is plotted on 7.5 minute USGS quadrangles, although in the Alaska ESI maps, USGS topographic maps at scales of 1:63,360 and 1:250,000 are used, and in other ESI maps, NOAA charts have been used as the base map. Collections of these maps, grouped by state or a logical geographic area, are published as ESI atlases. Digital data have been published for most of the U.S. shoreline, including Alaska, Hawaii, and Puerto Rico.

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This shapefile comprises the watershed boundaries, or hydrological units and their physical and erosion related characteristics for the U.S. Virgin Islands

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The Integrated Science Data Management (ISDM) office processes oceanographic profiles reported for the world oceans in near real-time from the Global Telecommunications System (GTS) for the Global Temperature and Salinity Profile Program (GTSPP). These data also support the activities of the Ship-of-Opportunity Programme Implementation Panel (SOOPIP) and the WOCE Upper Ocean Thermal Program (WOCE UOT).

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Description

This data set contains ortho-rectified mosaic tiles, created as a product from the NOAA Integrated Ocean and Coastal Mapping (IOCM) initiative. The source imagery was acquired from 20110507 - 20110507. The images were acquired with an Applanix Digital Sensor System (DSS). The original images were acquired at a higher resolution than the final ortho-rectified mosaic.

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Description

This data set consists of land derived from high resolution imagery and was analyzed according to the Coastal Change Analysis Program (C-CAP) protocol to determine land cover. This data set utilized 1 full or partial 2010 WorldView2 multispectral scene and the 2004 high-resolution West Manua, American Samoa C-CAP data set. The imagery and base classification were included in a multi-step change detection process to extract land cover features in the 2010 imagery.

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Description

This project is a cooperative effort between the National Ocean Service, National Centers for Coastal Ocean Science, Center for Coastal Monitoring and Assessment, the University of Hawaii, BAE Systems Spectral Solutions and Analytical Laboratories of Hawaii, LLC. The goal of the work was to incorporate previously developed mapping methods to produce benthic habitat maps generated by photo interpreting georeferenced IKONOS satellite imagery. These point data were generated to conduct ground validation during map preparation.

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Description

The National Oceanic and Atmospheric Administration (NOAA) has the statutory mandate to collect hydrographic data in support of nautical chart compilation for safe navigation and to provide background data for engineers, scientific, and other commercial and industrial activities. Hydrographic survey data primarily consist of water depths, but may also include features (e.g. rocks, wrecks), navigation aids, shoreline identification, and bottom type information. NOAA is responsible for archiving and distributing the source data as described in this metadata record.

Summary

Summary

Description

This data set is part of a larger set of data called the MultiBeam Bathymetric Data Base (MBBDB) where other similar data can be found at http://maps.ngdc.noaa.gov/viewers/multibeam/

Summary

Description

This data set is part of a larger set of data called the MultiBeam Bathymetric Data Base (MBBDB) where other similar data can be found at http://maps.ngdc.noaa.gov/viewers/multibeam/

Summary

Description

The National Oceanic and Atmospheric Administration (NOAA) has the statutory mandate to collect hydrographic data in support of nautical chart compilation for safe navigation and to provide background data for engineers, scientific, and other commercial and industrial activities. Hydrographic survey data primarily consist of water depths, but may also include features (e.g. rocks, wrecks), navigation aids, shoreline identification, and bottom type information. NOAA is responsible for archiving and distributing the source data as described in this metadata record.

Summary

Description

The National Oceanic and Atmospheric Administration (NOAA) has the statutory mandate to collect hydrographic data in support of nautical chart compilation for safe navigation and to provide background data for engineers, scientific, and other commercial and industrial activities. Hydrographic survey data primarily consist of water depths, but may also include features (e.g. rocks, wrecks), navigation aids, shoreline identification, and bottom type information. NOAA is responsible for archiving and distributing the source data as described in this metadata record.

Summary

Description

The National Oceanic and Atmospheric Administration (NOAA) has the statutory mandate to collect hydrographic data in support of nautical chart compilation for safe navigation and to provide background data for engineers, scientific, and other commercial and industrial activities. Hydrographic survey data primarily consist of water depths, but may also include features (e.g. rocks, wrecks), navigation aids, shoreline identification, and bottom type information. NOAA is responsible for archiving and distributing the source data as described in this metadata record.

Summary

Summary

Description

The National Oceanic and Atmospheric Administration (NOAA) has the statutory mandate to collect hydrographic data in support of nautical chart compilation for safe navigation and to provide background data for engineers, scientific, and other commercial and industrial activities. Hydrographic survey data primarily consist of water depths, but may also include features (e.g. rocks, wrecks), navigation aids, shoreline identification, and bottom type information. NOAA is responsible for archiving and distributing the source data as described in this metadata record.

Summary

Summary

Description

The Regional Ocean Forecast System (ROFS) has been developed jointly by the Ocean Modeling Branch of the National Weather Service's Environmental Modeling Center, the National Ocean Service's Coast Survey Development Lab, Princeton University, and Naval Oceanographic Office (NAVOCEANO). ROFS is based on a hydrodynamic, three-dimensional ocean circulation model (Princeton Ocean Model) which simulates temperature, salinity, surface elevation, and currents for a region off the U.S. East Coast from ~30 to 47N and out to 50W. The model is driven at the ocean surface boundary by heat, moisture, and momentum fluxes provided by NCEP's Eta mesoscale atmospheric forecast model. The ocean model is driven along its open (that is, southern and eastern) boundaries by climatological estimates of temperature, salinity, and transport. The spatial resolution of the model varies from approximately 20km offshore to about 10km nearshore. The coastal boundary corresponds to the location of the 10m isobath. In the vertical, an 18-layer sigma (terrain-following) coordinate system is used with at least half the layers concentrated in the upper 100m. Tidal forcing is included in the model. At 24-hour intervals, Gulf Stream north-wall-location data and satellite altimeter data are assimilated with an OI-based algorithm from Princeton University. Gulf Stream location data are provided by NAVOCEANO and sea surface height anomalies (SSHAs) derived from satellite altimeter data are provided by the NOAA Laboratory for Satellite Altimetry. These data are input for correction of the model's sea surface height field and assimilation into the subsurface temperature and salinity fields using correlation functions statistically derived from the model itself. Gulf Stream location data for the current day and TOPEX data from the prior 10-day orbital cycle, are used in this analysis step, which provides the input fields for the second analysis step. Sea surface temperature (SST) data from in-situ and satellite observing platforms are assimilated into the updated fields from the first data assimilation step, in a nowcast/data assimilation cycle producing initial conditions for the 48-h forecast. In-situ observations are from fixed and drifting buoys, C-MAN stations, and ships. Remotely sensed observations are MCSST retrievals from the AVHRR sensor onboard the NOAA polar orbiting satellites. Surface atmospheric forcing is obtained from 3-hourly analyses of the NCEP's Eta Data Assimilation System (EDAS). The forecast cycle generates regional ocean forecasts out to 48 hours. Surface forcing is obtained from the 3-hourly surface fields from NCEP's Eta mesoscale atmospheric prediction model. [This abstract was obtained from the ROFS website at http://polar.wwb.noaa.gov/cofs/Description.html#OM on June 23, 2004.]

Summary

Description

The Regional Ocean Forecast System (ROFS) has been developed jointly by the Ocean Modeling Branch of the National Weather Service's Environmental Modeling Center, the National Ocean Service's Coast Survey Development Lab, Princeton University, and Naval Oceanographic Office (NAVOCEANO). ROFS is based on a hydrodynamic, three-dimensional ocean circulation model (Princeton Ocean Model) which simulates temperature, salinity, surface elevation, and currents for a region off the U.S. East Coast from ~30 to 47N and out to 50W. The model is driven at the ocean surface boundary by heat, moisture, and momentum fluxes provided by NCEP's Eta mesoscale atmospheric forecast model. The ocean model is driven along its open (that is, southern and eastern) boundaries by climatological estimates of temperature, salinity, and transport. The spatial resolution of the model varies from approximately 20km offshore to about 10km nearshore. The coastal boundary corresponds to the location of the 10m isobath. In the vertical, an 18-layer sigma (terrain-following) coordinate system is used with at least half the layers concentrated in the upper 100m. Tidal forcing is included in the model. At 24-hour intervals, Gulf Stream north-wall-location data and satellite altimeter data are assimilated with an OI-based algorithm from Princeton University. Gulf Stream location data are provided by NAVOCEANO and sea surface height anomalies (SSHAs) derived from satellite altimeter data are provided by the NOAA Laboratory for Satellite Altimetry. These data are input for correction of the model's sea surface height field and assimilation into the subsurface temperature and salinity fields using correlation functions statistically derived from the model itself. Gulf Stream location data for the current day and TOPEX data from the prior 10-day orbital cycle, are used in this analysis step, which provides the input fields for the second analysis step. Sea surface temperature (SST) data from in-situ and satellite observing platforms are assimilated into the updated fields from the first data assimilation step, in a nowcast/data assimilation cycle producing initial conditions for the 48-h forecast. In-situ observations are from fixed and drifting buoys, C-MAN stations, and ships. Remotely sensed observations are MCSST retrievals from the AVHRR sensor onboard the NOAA polar orbiting satellites. Surface atmospheric forcing is obtained from 3-hourly analyses of the NCEP's Eta Data Assimilation System (EDAS). The forecast cycle generates regional ocean forecasts out to 48 hours. Surface forcing is obtained from the 3-hourly surface fields from NCEP's Eta mesoscale atmospheric prediction model. [This abstract was obtained from the ROFS website at http://polar.wwb.noaa.gov/cofs/Description.html#OM on June 23, 2004.]

Summary

Description

The National Oceanic and Atmospheric Administration (NOAA) has the statutory mandate to collect hydrographic data in support of nautical chart compilation for safe navigation and to provide background data for engineers, scientific, and other commercial and industrial activities. Hydrographic survey data primarily consist of water depths, but may also include features (e.g. rocks, wrecks), navigation aids, shoreline identification, and bottom type information. NOAA is responsible for archiving and distributing the source data as described in this metadata record.