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Data from Coral Reef Ecosystem Division (CRED), NOAA Pacific Islands Fisheries Science Center (PIFSC) Subsurface Temperature Recorders (STR) provide a time series of water temperature at coral reef sites. Data is typically collected at 1800 second intervals for a duration of 2 years using a SBE39 Temperature Recorder (Sea-Bird Electronics, Inc., www.seabird.com). When a STR is recovered, a new one is typically deployed in the same place. Time series data combining multiple deployments from a given site may also be available. Please contact CRED with any questions. For program information see the web site http://www.pifsc.noaa.gov/cred/oceanography.php


Vydavatel National Oceanic and Atmospheric Administration, Department of Commerce

Datum vydání před více než 9 roky

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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.


Vydavatel National Oceanic and Atmospheric Administration, Department of Commerce

Datum vydání před více než 9 roky

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Co poskytovatel nabízí?
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Popis

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.


Vydavatel National Oceanic and Atmospheric Administration, Department of Commerce

Datum vydání před více než 9 roky

US
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Co poskytovatel nabízí?
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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. 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.]



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Vydavatel National Oceanic and Atmospheric Administration, Department of Commerce

Datum vydání před více než 9 roky

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Co poskytovatel nabízí?
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Vydavatel National Oceanic and Atmospheric Administration, Department of Commerce

Datum vydání před více než 9 roky

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Co poskytovatel nabízí?
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Popis

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. 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.]


Vydavatel National Oceanic and Atmospheric Administration, Department of Commerce

Datum vydání před více než 9 roky

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In a tri-coastal collaborative study, the population densities of vibrios are being determined in the Mississippi Sound, Puget Sound, Chesapeake Bay, and Timbalier Bay. Sea surface temperature (SST), salinity, pigments (including chlorophylls, fucoxanthins, and others), dissolved organic carbon, and suspended particulate matter will be measured and evaluated as predictors of vibrio densities in the context of multiple regression analysis. Concentrations of Vibrio parahaemolyticus in oysters, water and sediments. Temperature, salinity, chlorophyll, SPM, DOC and pigment analysis


Vydavatel National Oceanic and Atmospheric Administration, Department of Commerce

Datum vydání před více než 9 roky

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The Midwater Assessment and Conservation Engineering (MACE) program of NOAA's National Marine Fisheries Service, Alaska Fisheries Science Center (AFSC) conducted an acoustic-trawl (AT) stock assessment survey in the Gulf of Alaska (GOA) during late spring and summer of 2013 to estimate the distribution and abundance of walleye pollock (Gadus chalcogrammus). The survey area included the GOA shelf from the Islands of the Four Mountains to Yakutat Bay including many associated bays and troughs at depths between 50 and 1,000 meters (June 8 to August 9, 2013). The survey was conducted aboard NOAA Ship Oscar Dyson, a 64 meter stern trawler equipped with acoustic and oceanographic instrumentation, and biological sampling capabilities. The primary instrumentation for the survey was a Simrad EK60 split-beam echosounder system utilizing five frequencies (18, 38, 70, 120, and 200 kHz) and a Simrad ME70 multibeam echosounder, with the ME70 trigger synchronized to the EK60 system.


Vydavatel National Oceanic and Atmospheric Administration, Department of Commerce

Datum vydání před více než 9 roky

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Post-cruise download of raw data from shipboard computer(s) as furnished by the Woods Hole Oceanographic Institution Shipboard Scientific Support Group and archived by the Marine Biological Laboratory Woods Hole Oceanographic Institution Library for the R/V Atlantis - Cruise 007 Leg 05. These data are part of a collection of ocean observation data from Woods Hole Oceanographic Institution ships OCEANUS (call sign WXAQ; built 1975.00; IMO 7603617), KNORR (call sign KCEJ; built 1970.00; IMO 7738618), and the ATLANTIS (call sign KAQP; built 1997.03; IMO 9105798). The data sets are the downloads of the shipboard computers after an individual cruise. As such, they contain basic raw and processed physical and meteorological data from the cruise. A data set may include XBT, CTD, and XCTD profiles, underway thermosalinograph and atmospheric measurements, gravity and magnetic field measurements, current measurements from ADCP, and still photographs from the Alvin submersible (Atlantis cruises only). Other data types (ROV, nutrients measured from bottle samples, etc.) and photographs documenting the cruise may be included.


Vydavatel National Oceanic and Atmospheric Administration, Department of Commerce

Datum vydání před více než 9 roky

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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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Vydavatel National Oceanic and Atmospheric Administration, Department of Commerce

Datum vydání před více než 9 roky

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Towed-diver surveys (aka. Towboard surveys) are conducted by the Coral Reef Ecosystem Division (CRED) of the NOAA Pacific Islands Fisheries Science Center (PIFSC) as part of biennial Pacific Reef Assessment and Monitoring Program (RAMP) Cruises. These cruises support NOAA Coral Reef Conservation Program (CRCP) long-term goals for sustainable management and conservation of coral reef ecosystems. 4 towboard surveys (9.8174 km in length), were conducted at French Frigate Shoals in the NW Hawaiian Islands from 10 September - 1 October 2001 as part of RAMP Cruise TC0110. Towboard surveys are a good method for obtaining a general description of large reef areas, assessing the status of low-density populations of large-bodied reef fish, large-scale disturbances (e.g., bleaching), general distribution and abundance patterns of macro-invertebrates (e.g., COT, giant clams), and for assessing trends in these populations and metrics. A pair of scuba divers (1 fish and 1 benthic diver) are towed 60 m behind a small survey launch at a speed of 1-2 knots and a depth of approximately 15m. Each survey is 50 min long, covers about 2 km of habitat, and is divided into ten 5-minute survey segments. The fish diver records, to the lowest possible taxon, all large-bodied reef fishes (>50cmTL) seen within 5m either side and 10m in front of the towboard. Length of each individual is estimated to the nearest cm. The fish towboard is also outfitted with a forward-facing digital video camera to record the survey swath. The benthic diver records percent cover of coral and macroalgae, estimates benthic habitat type and complexity, and censuses a suite of benthic macroinvertebrates including Crown of Thorns sea stars and sea urchins. The benthic towboard is equipped with a downward-facing digital still camera which images the benthos at 15 second intervals. These images are analyzed for percent cover of coral, algae, and other benthic components. Both towboards are equipped with SEABIRD SBE-39 temperature/depth sensors set to record at 5 second intervals. Latitude and longitude of each survey track is recorded at 15 second intervals using a Global Positioning System (GPS) receiver onboard the tow boat. A layback algorithm is applied to more accurately map the position of the divers with respect to the reef environment. This algorithm calculates the position of the divers based on the position of the tow boat taking into account the length of the tow rope, the depth of the divers, and the curvature of the survey track. This metadata applies to the fish biomass observations.


Vydavatel National Oceanic and Atmospheric Administration, Department of Commerce

Datum vydání před více než 9 roky

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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/


Vydavatel National Oceanic and Atmospheric Administration, Department of Commerce

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This data set comprises the Environmental Sensitivity Index (ESI) data for Golfo de Fonseca. ESI data characterize estuarine environments and wildlife by their sensitivity to spilled oil. The ESI data include information for three main components: shoreline habitats, sensitive biological resources, and human-use resources. This data set contains the Environmental Sensitivity Index shoreline data.


Vydavatel National Oceanic and Atmospheric Administration, Department of Commerce

Datum vydání před více než 9 roky

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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.


Vydavatel National Oceanic and Atmospheric Administration, Department of Commerce

Datum vydání před více než 9 roky

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Co poskytovatel nabízí?
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Vydavatel National Oceanic and Atmospheric Administration, Department of Commerce

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Vydavatel National Oceanic and Atmospheric Administration, Department of Commerce

Datum vydání před více než 9 roky

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The purpose of this project is to develop spatially discrete end-to-end models of the northern Gulf of California, linking oceanography, biogeochemistry, food web interactions, habitat, fisheries, economics, monitoring, and management into a common model framework. This framework allows for thought experiments, including evaluation of alternate management strategies, identifying robust indicators, and assessing relative importance of different ecosystem drivers in regulating important processes. NMFS personnel are conducting this work in broad collaboration with a consortium of Mexican federal, state, NGO and academic scientists. The specific work entails model development, scoping issues with stakeholders and policy makers, running scenarios, and analyzing and writing up the results. Products include peer-reviewed papers, presentations, and workshops with modelers and/or stakeholders. Management audiences include Mexican governmental bodies and conservation organizations. The project is an on-going, stand-alone project with no firm deadline for completion. Outputs of Atlantis model scenarios


Vydavatel National Oceanic and Atmospheric Administration, Department of Commerce

Datum vydání před více než 9 roky

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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. 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.]



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XBT data were collected from the USCGC MUNRO in support of the Integrated Global Ocean Services System (IGOSS) project. Data were collected by the US Coast Guard (USCG) from 06 February 1976 to 28 July 1976. Data were processed by NODC to the NODC standard Universal Bathythermograph Output (UBT) format. Full format description is available from NODC at www.nodc.noaa.gov/General/NODC-Archive/bt.html. The UBT file format is used for temperature-depth profile data obtained using expendable bathythermograph (XBT) instruments. Standard XBTs can obtain profiles at depths of about 450 or 760 m. With special instruments, measurements can be obtained to 1830 m. Cruise information, position, date, and time are reported for each observation. The data record comprises pairs of temperature-depth values. Unlike the MBT data file, in which temperature values are recorded at uniform 5m intervals, the XBT Data File contains temperature values at non-uniform depths. These depths are at a minimum number of points ("inflection points") required to record the temperature curve to an acceptable degree of accuracy. On output, however, the user may request temperature values either at inflection points or interpolated to uniform depth increments.


Vydavatel National Oceanic and Atmospheric Administration, Department of Commerce

Datum vydání před více než 9 roky

US
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Co poskytovatel nabízí?
ongoing release of a series of related datasets

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Popis

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.


Vydavatel National Oceanic and Atmospheric Administration, Department of Commerce

Datum vydání před více než 9 roky

US
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Co poskytovatel nabízí?
ongoing release of a series of related datasets

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Vydavatel National Oceanic and Atmospheric Administration, Department of Commerce

Datum vydání před více než 9 roky

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We installed 32 water temperature loggers (Onset, tidbit) throughout the Snoqualmie River watershed during summer 2011. Two-thirds of tidbits were distributed throughout the major tributaries and mainstem, and the remaining one-third were densely distributed in the Raging River subwatershed, for a nested spatial design. Temperature is being recorded at 15-minute intervals. Loggers will be collected at the end of summer 2012. We will investigate: (1) temporal patterns in water temperature using wavelet analysis, and (2) whether spatial network topology was related to water temperature. Collaborator: Ashley Steel, US Forest Service. Water temperature, 15-minute intervals, collected throughout the Snoqualmie River watershed


Vydavatel National Oceanic and Atmospheric Administration, Department of Commerce

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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 14 full or partial WorldView2 multispectral scenes and the 2005 high-resolution Lanai C-CAP data set. The imagery and base classification were included in a multi-step semi-automated change detection process to extract land cover features in the 2011 imagery.