ioos-gliderdac-ru33-20191014T1643 eng UTF8 dataset service Data Engineer Axiom Data Science 907-555-5555 1016 W 6th Ave, Ste. 105 Anchorage AK 99501 USA dataservices+ioos-erddap@axiomdatascience.com pointOfContact 2026-09-15 ISO 19115-2 Geographic Information - Metadata Part 2 Extensions for Imagery and Gridded Data ISO 19115-2:2009(E) 4 column row vertical temporal IOOS Glider - Sustained Underwater Glider Observations for Improving Atlantic Tropical Cyclone Intensity Forecast - ru33-20191014T1643 2019-11-15 creation 2019-11-15 issued erddap.sensors.ioos.us ioos-gliderdac-ru33-20191014T1643 John Kerfoot Rutgers University kerfoot@marine.rutgers.edu https://portal.axds.co/#platform/2d2a0e36-ee32-5604-a9f6-89de501a1043/v2 information web browser Background Information Background information from the source information originator Travis Miles,Scott Glenn,Oscar Schofield,Nicole Waite,David Aragon,Chip Haldeman,Laura Nazzaro,John Kerfoot contributor This project supports the deployment and realtime data delivery of autonomous underwater gliders in the coastal ocean to better resolve and understand essential ocean features and processes that contribute to hurricane intensification or weakening prior to making landfall. This is a partnership between NOAA Ocean and Atmospheric Research (OAR) through the Atlantic Oceanographic and Meteorological Laboratory (AOML) and Integrated Ocean Observing System (IOOS) regional associations such as MARACOOS, SECOORA, CariCOOS and institutions including the University of Puerto Rico, University of the Virgin Islands, Skidaway Institute of Oceanography, University of Delaware, and Rutgers University. The goal of the project is to provide realtime data for ocean model validation and assimilation throughout hurricane season. This project is supported by the Disaster Recovery Act. The glider was deployed out of Tuckerton, NJ and will transect E to an offshore waypoint north of Carteret Canyon, then transect SSW to Wilmington Canyon, then NW back to Tuckerton, NJ as the battery pack allows. This real-time dataset contains CTD, chlorphyll a, CDOM and optical backscatter measurements. This deployment supported by funding from NOAA Atlantic Oceanographic and Meteorological Laboratory and the Office of Atmospheric Research. Award #NA19OAR0220189 John Kerfoot Rutgers University kerfoot@marine.rutgers.edu https://portal.axds.co/#platform/2d2a0e36-ee32-5604-a9f6-89de501a1043/v2 information web browser Background Information Background information from the source information pointOfContact glider Slocum Spray trajectory underwater glider water wmo theme In Situ Ocean-based platforms > Seaglider Earth Science > Oceans > Salinity/Density > Salinity Earth Science > Oceans > Salinity/Density > Density Earth Science > Oceans > Salinity/Density > Conductivity Earth Science > Oceans > Ocean Temperature > Water Temperature Earth Science > Oceans > Ocean Pressure > Water Pressure AUVS > Autonomous Underwater Vehicles theme GCMD Science Keywords Sustained Underwater Glider Observations for Improving Atlantic Tropical Cyclone Intensity Forecast project sea_water_electrical_conductivity sea_water_electrical_conductivity status_flag sea_water_density sea_water_density status_flag depth depth status_flag latitude status_flag latitude latitude status_flag latitude longitude status_flag longitude longitude status_flag longitude latitude longitude time sea_water_pressure sea_water_pressure status_flag latitude status_flag longitude status_flag time status_flag sea_water_electrical_conductivity status_flag sea_water_electrical_conductivity status_flag sea_water_electrical_conductivity status_flag aggregate_quality_flag sea_water_electrical_conductivity status_flag sea_water_electrical_conductivity status_flag sea_water_density status_flag sea_water_density status_flag gross_range_test_quality_flag aggregate_quality_flag sea_water_density status_flag sea_water_density status_flag location_test_quality_flag sea_water_pressure status_flag sea_water_pressure status_flag sea_water_pressure status_flag aggregate_quality_flag sea_water_pressure status_flag sea_water_pressure status_flag sea_water_salinity status_flag sea_water_salinity status_flag gross_range_test_quality_flag aggregate_quality_flag sea_water_salinity status_flag sea_water_salinity status_flag sea_water_temperature status_flag sea_water_temperature status_flag sea_water_temperature status_flag aggregate_quality_flag sea_water_temperature status_flag sea_water_temperature status_flag sea_water_practical_salinity sea_water_practical_salinity status_flag sea_water_temperature sea_water_temperature status_flag time time status_flag time time status_flag eastward_sea_water_velocity eastward_sea_water_velocity status_flag northward_sea_water_velocity northward_sea_water_velocity status_flag theme CF-v25 This data may be redistributed and used without restriction. Data provided as is with no expressed or implied assurance of quality assurance or quality control Sustained Underwater Glider Observations for Improving Atlantic Tropical Cyclone Intensity Forecast largerWorkCitation project Unidata Common Data Model TrajectoryProfile largerWorkCitation project eng geoscientificInformation 1 -74.348854 -72.86781 38.5403 39.447247 seconds 2019-10-14T16:59:00Z 2019-11-15T14:29:50Z -98.34 -1.31 IOOS Glider - Sustained Underwater Glider Observations for Improving Atlantic Tropical Cyclone Intensity Forecast - ru33-20191014T1643 2019-11-15 creation 2019-11-15 issued John Kerfoot Rutgers University kerfoot@marine.rutgers.edu https://portal.axds.co/#platform/2d2a0e36-ee32-5604-a9f6-89de501a1043/v2 information web browser Background Information Background information from the source information originator Travis Miles,Scott Glenn,Oscar Schofield,Nicole Waite,David Aragon,Chip Haldeman,Laura Nazzaro,John Kerfoot contributor This project supports the deployment and realtime data delivery of autonomous underwater gliders in the coastal ocean to better resolve and understand essential ocean features and processes that contribute to hurricane intensification or weakening prior to making landfall. This is a partnership between NOAA Ocean and Atmospheric Research (OAR) through the Atlantic Oceanographic and Meteorological Laboratory (AOML) and Integrated Ocean Observing System (IOOS) regional associations such as MARACOOS, SECOORA, CariCOOS and institutions including the University of Puerto Rico, University of the Virgin Islands, Skidaway Institute of Oceanography, University of Delaware, and Rutgers University. The goal of the project is to provide realtime data for ocean model validation and assimilation throughout hurricane season. This project is supported by the Disaster Recovery Act. The glider was deployed out of Tuckerton, NJ and will transect E to an offshore waypoint north of Carteret Canyon, then transect SSW to Wilmington Canyon, then NW back to Tuckerton, NJ as the battery pack allows. This real-time dataset contains CTD, chlorphyll a, CDOM and optical backscatter measurements. ERDDAP tabledap 1 -74.348854 -72.86781 38.5403 39.447247 seconds 2019-10-14T16:59:00Z 2019-11-15T14:29:50Z -98.34 -1.31 tight ERDDAPtabledapDatasetQueryAndAccess https://erddap.sensors.ioos.us/erddap/tabledap/ioos-gliderdac-ru33-20191014T1643 ERDDAP:tabledap ERDDAP-tabledap ERDDAP's tabledap service (a flavor of OPeNDAP) for tabular (sequence) data. Add different extensions (e.g., .html, .graph, .das, .dds) to the base URL for different purposes. download IOOS Glider - Sustained Underwater Glider Observations for Improving Atlantic Tropical Cyclone Intensity Forecast - ru33-20191014T1643 2019-11-15 creation 2019-11-15 issued John Kerfoot Rutgers University kerfoot@marine.rutgers.edu https://portal.axds.co/#platform/2d2a0e36-ee32-5604-a9f6-89de501a1043/v2 information web browser Background Information Background information from the source information originator Travis Miles,Scott Glenn,Oscar Schofield,Nicole Waite,David Aragon,Chip Haldeman,Laura Nazzaro,John Kerfoot contributor This project supports the deployment and realtime data delivery of autonomous underwater gliders in the coastal ocean to better resolve and understand essential ocean features and processes that contribute to hurricane intensification or weakening prior to making landfall. This is a partnership between NOAA Ocean and Atmospheric Research (OAR) through the Atlantic Oceanographic and Meteorological Laboratory (AOML) and Integrated Ocean Observing System (IOOS) regional associations such as MARACOOS, SECOORA, CariCOOS and institutions including the University of Puerto Rico, University of the Virgin Islands, Skidaway Institute of Oceanography, University of Delaware, and Rutgers University. The goal of the project is to provide realtime data for ocean model validation and assimilation throughout hurricane season. This project is supported by the Disaster Recovery Act. The glider was deployed out of Tuckerton, NJ and will transect E to an offshore waypoint north of Carteret Canyon, then transect SSW to Wilmington Canyon, then NW back to Tuckerton, NJ as the battery pack allows. This real-time dataset contains CTD, chlorphyll a, CDOM and optical backscatter measurements. OPeNDAP 1 -74.348854 -72.86781 38.5403 39.447247 seconds 2019-10-14T16:59:00Z 2019-11-15T14:29:50Z -98.34 -1.31 tight OPeNDAPDatasetQueryAndAccess https://erddap.sensors.ioos.us/erddap/tabledap/ioos-gliderdac-ru33-20191014T1643 OPeNDAP:OPeNDAP OPeNDAP An OPeNDAP service for tabular (sequence) data. Add different extensions (e.g., .html, .das, .dds) to the base URL for different purposes. download IOOS Glider - Sustained Underwater Glider Observations for Improving Atlantic Tropical Cyclone Intensity Forecast - ru33-20191014T1643 2019-11-15 creation 2019-11-15 issued John Kerfoot Rutgers University kerfoot@marine.rutgers.edu https://portal.axds.co/#platform/2d2a0e36-ee32-5604-a9f6-89de501a1043/v2 information web browser Background Information Background information from the source information originator Travis Miles,Scott Glenn,Oscar Schofield,Nicole Waite,David Aragon,Chip Haldeman,Laura Nazzaro,John Kerfoot contributor This project supports the deployment and realtime data delivery of autonomous underwater gliders in the coastal ocean to better resolve and understand essential ocean features and processes that contribute to hurricane intensification or weakening prior to making landfall. This is a partnership between NOAA Ocean and Atmospheric Research (OAR) through the Atlantic Oceanographic and Meteorological Laboratory (AOML) and Integrated Ocean Observing System (IOOS) regional associations such as MARACOOS, SECOORA, CariCOOS and institutions including the University of Puerto Rico, University of the Virgin Islands, Skidaway Institute of Oceanography, University of Delaware, and Rutgers University. The goal of the project is to provide realtime data for ocean model validation and assimilation throughout hurricane season. This project is supported by the Disaster Recovery Act. The glider was deployed out of Tuckerton, NJ and will transect E to an offshore waypoint north of Carteret Canyon, then transect SSW to Wilmington Canyon, then NW back to Tuckerton, NJ as the battery pack allows. This real-time dataset contains CTD, chlorphyll a, CDOM and optical backscatter measurements. ERDDAP Subset 1 -74.348854 -72.86781 38.5403 39.447247 seconds 2019-10-14T16:59:00Z 2019-11-15T14:29:50Z -98.34 -1.31 tight ERDDAP_Subset https://erddap.sensors.ioos.us/erddap/tabledap/ioos-gliderdac-ru33-20191014T1643.subset search Subset Web page to facilitate selecting subsets of the dataset download physicalMeasurement conductivity float Sea Water Electrical Conductivity conductivity_qc byte conductivity Quality Flag density float Sea Water Density density_qc byte density Quality Flag depth_qc byte depth Quality Flag instrument_ctd byte CTD Metadata lat_qc byte lat Quality Flag lat_uv double Depth-averaged Latitude lat_uv_qc byte lat_uv Quality Flag lon_qc byte lon Quality Flag lon_uv double Depth-averaged Longitude lon_uv_qc byte lon_uv Quality Flag platform byte Platform Metadata precise_lat double Precise Latitude precise_lon double Precise Longitude precise_time double Precise Time pressure float Sea Water Pressure pressure_qc byte pressure Quality Flag profile_id int Profile ID profile_lat_qc byte profile_lat Quality Flag profile_lon_qc byte profile_lon Quality Flag profile_time_qc byte profile_time Quality Flag qartod_conductivity_climatological_flag byte QARTOD conductivity climatological test qartod_conductivity_flat_line_flag byte QARTOD conductivity flat line test qartod_conductivity_gross_range_flag byte QARTOD conductivity gross range test qartod_conductivity_primary_flag byte QARTOD Primary Flag for sea_water_electrical_conductivity qartod_conductivity_rate_of_change_flag byte QARTOD conductivity rate of change test qartod_conductivity_spike_flag byte QARTOD conductivity spike test qartod_density_climatological_flag byte QARTOD density climatology test qartod_density_flat_line_flag byte QARTOD density flat line test qartod_density_gross_range_flag byte QARTOD Flat Line Test for sea_water_density qartod_density_primary_flag byte QARTOD Flat Line Test for sea_water_density qartod_density_rate_of_change_flag byte QARTOD density rate of change test qartod_density_spike_flag byte QARTOD density spike test qartod_location_flag byte QARTOD location test qartod_location_test_flag byte QARTOD Location Test for longitude and latitude qartod_monotonic_pressure_flag byte QARTOD monotonic pressure test qartod_pressure_flat_line_flag byte QARTOD pressure flat line test qartod_pressure_gross_range_flag byte QARTOD pressure gross range test qartod_pressure_primary_flag byte QARTOD Flat Line Test for sea_water_pressure qartod_pressure_rate_of_change_flag byte QARTOD pressure rate of change qartod_pressure_spike_flag byte QARTOD pressure spike test qartod_salinity_climatological_flag byte QARTOD salinity climatological test qartod_salinity_flat_line_flag byte QARTOD salinity flat line test qartod_salinity_gross_range_flag byte QARTOD Flat Line Test for sea_water_practical_salinity qartod_salinity_primary_flag byte QARTOD Flat Line Test for sea_water_practical_salinity qartod_salinity_rate_of_change_flag byte QARTOD salinity rate of change test qartod_salinity_spike_flag byte QARTOD salinity spike test qartod_syntax_flag byte QARTOD syntax test qartod_temperature_climatological_flag byte QARTOD temperature climatological test qartod_temperature_flat_line_flag byte QARTOD temperature flat line test qartod_temperature_gross_range_flag byte QARTOD temperature gross range test qartod_temperature_primary_flag byte QARTOD Flat Line Test for sea_water_temperature qartod_temperature_rate_of_change_flag byte QARTOD temperature rate of change test qartod_temperature_spike_flag byte QARTOD temperature spike test qartod_timing_and_gap_flag byte QARTOD timing and gap test rowSize int Number of Observations for this Profile salinity float Sea Water Practical Salinity salinity_qc byte salinity Quality Flag temperature float Sea Water Temperature temperature_qc byte temperature Quality Flag time double Profile Time time_qc byte time Quality Flag time_uv double Depth-averaged Time time_uv_qc byte time_uv Quality Flag trajectory byte Trajectory Name trajectoryIndex int The trajectory to which this profile is associated. u double Depth-averaged Eastward Sea Water Velocity u_qc byte u Quality Flag v double Depth-averaged Northward Sea Water Velocity v_qc byte v Quality Flag wmo_id byte WMO ID Data Engineer Axiom Data Science 907-555-5555 1016 W 6th Ave, Ste. 105 Anchorage AK 99501 USA dataservices+ioos-erddap@axiomdatascience.com distributor OPeNDAP DAP/2.0 https://erddap.sensors.ioos.us/erddap/tabledap/ioos-gliderdac-ru33-20191014T1643.html order Data Subset Form ERDDAP's version of the OPeNDAP .html web page for this dataset. Specify a subset of the dataset and download the data via OPeNDAP or in many different file types. download https://erddap.sensors.ioos.us/erddap/tabledap/ioos-gliderdac-ru33-20191014T1643.graph order Make-A-Graph Form ERDDAP's Make-A-Graph .html web page for this dataset. Create an image with a map or graph of a subset of the data. mapDigital dataset 2019-11-15T09:48:14Z /home/kerfoot/slocum/matlab/spt/export/nc/IOOS/DAC/writeQartodGliderFlatNc.m 2026-09-11T18:16:09Z (local files) 2026-09-11T18:16:09Z http://gliders.ioos.us/erddap/tabledap/ru33-20191014T1643.ncCF This record was created from dataset metadata by ERDDAP Version 2.30.0