ud_134-20200731T2103-profile-sci-rt eng UTF8 dataset service John Kerfoot Rutgers University DMCS 848-932-3344 71 Dudley Road New Brunswick NJ 08901 USA kerfoot@marine.rutgers.edu pointOfContact 2026-05-02 ISO 19115-2 Geographic Information - Metadata Part 2 Extensions for Imagery and Gridded Data ISO 19115-2:2009(E) 4 column row vertical temporal ud_134-20200731T2103 Real Time Science Profiles 2020-08-19 creation 2020-08-19 issued slocum-data.marine.rutgers.edu ud_134-20200731T2103-profile-sci-rt John Kerfoot University of Delaware kerfoot@marine.rutgers.edu https://www.udel.edu/academics/colleges/ceoe/,https://rucool.marine.rutgers.edu information web browser Background Information Background information from the source information originator Matt Oliver,Harrison Smith,Robert Roose,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 Lewes, DE and will transect offshore to the shelf break, south along the break then back toward Lewes DE, with an inshore point at about 28 meters depth. This real-time dataset contains CTD measurements from a Seabird Scientific un-pumped CTD. This deployment is supported by funding from NOAA Award #NA19OAR0220189, and is coordinated between a partnership of IOOS, OAR, AOML, Navy, academic researchers, and private industry. John Kerfoot University of Delaware kerfoot@marine.rutgers.edu https://www.udel.edu/academics/colleges/ceoe/,https://rucool.marine.rutgers.edu information web browser Background Information Background information from the source information pointOfContact earth science atmosphere ocean biosphere biology environment theme Sustained Underwater Glider Observations for Improving Atlantic Tropical Cyclone Intensity Forecast project time latitude longitude depth latitude longitude concentration_of_colored_dissolved_organic_matter_in_sea_water_expressed_as_equivalent_mass_fraction_of_quinine_sulfate_dihydrate mass_concentration_of_chlorophyll_a_in_seawater sea_water_electrical_conductivity time sea_water_density sea_water_potential_temperature sea_water_pressure time sea_water_practical_salinity time sea_water_pressure speed_of_sound_in_sea_water sea_water_temperature eastward_sea_water_velocity northward_sea_water_velocity sea_floor_depth_below_sea_surface theme CF Standard Name Table v27 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 -74.67749 -73.8856 37.53782 38.72701 seconds 2020-07-31T21:10:00Z 2020-08-19T01:47:34Z -97.18441 -0.02977487 ud_134-20200731T2103 Real Time Science Profiles 2020-08-19 creation 2020-08-19 issued John Kerfoot University of Delaware kerfoot@marine.rutgers.edu https://www.udel.edu/academics/colleges/ceoe/,https://rucool.marine.rutgers.edu information web browser Background Information Background information from the source information originator Matt Oliver,Harrison Smith,Robert Roose,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 Lewes, DE and will transect offshore to the shelf break, south along the break then back toward Lewes DE, with an inshore point at about 28 meters depth. This real-time dataset contains CTD measurements from a Seabird Scientific un-pumped CTD. ERDDAP tabledap 1 -74.67749 -73.8856 37.53782 38.72701 seconds 2020-07-31T21:10:00Z 2020-08-19T01:47:34Z -97.18441 -0.02977487 tight ERDDAPtabledapDatasetQueryAndAccess https://slocum-data.marine.rutgers.edu/erddap/tabledap/ud_134-20200731T2103-profile-sci-rt 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 ud_134-20200731T2103 Real Time Science Profiles 2020-08-19 creation 2020-08-19 issued John Kerfoot University of Delaware kerfoot@marine.rutgers.edu https://www.udel.edu/academics/colleges/ceoe/,https://rucool.marine.rutgers.edu information web browser Background Information Background information from the source information originator Matt Oliver,Harrison Smith,Robert Roose,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 Lewes, DE and will transect offshore to the shelf break, south along the break then back toward Lewes DE, with an inshore point at about 28 meters depth. This real-time dataset contains CTD measurements from a Seabird Scientific un-pumped CTD. OPeNDAP 1 -74.67749 -73.8856 37.53782 38.72701 seconds 2020-07-31T21:10:00Z 2020-08-19T01:47:34Z -97.18441 -0.02977487 tight OPeNDAPDatasetQueryAndAccess https://slocum-data.marine.rutgers.edu/erddap/tabledap/ud_134-20200731T2103-profile-sci-rt 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 ud_134-20200731T2103 Real Time Science Profiles 2020-08-19 creation 2020-08-19 issued John Kerfoot University of Delaware kerfoot@marine.rutgers.edu https://www.udel.edu/academics/colleges/ceoe/,https://rucool.marine.rutgers.edu information web browser Background Information Background information from the source information originator Matt Oliver,Harrison Smith,Robert Roose,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 Lewes, DE and will transect offshore to the shelf break, south along the break then back toward Lewes DE, with an inshore point at about 28 meters depth. This real-time dataset contains CTD measurements from a Seabird Scientific un-pumped CTD. ERDDAP Subset 1 -74.67749 -73.8856 37.53782 38.72701 seconds 2020-07-31T21:10:00Z 2020-08-19T01:47:34Z -97.18441 -0.02977487 tight ERDDAP_Subset https://slocum-data.marine.rutgers.edu/erddap/tabledap/ud_134-20200731T2103-profile-sci-rt.subset search Subset Web page to facilitate selecting subsets of the dataset download physicalMeasurement time double m_present_time trajectory String Trajectory/Deployment Name profile_id double Profile ID profile_lat double Profile Center Latitude profile_lon double Profile Center Longitude source_file String Source data file platform int Slocum Glider ud_134 instrument_bbfl2slo int ECO Triplet Puck instrument_c3_fluorometer int C3 Fluorometer instrument_ctd int Conductivity, Temperature, Depth (CTD) Sensor bbfl2s_timestamp double Bbfl2s Timestamp beta_880nm float Beta 880nm at 117 degrees beta_880nm_reference float beta_880nm_reference beta_880nm_signal float beta_880nm_signal c3sfl_timestamp double C3sfl Timestamp cdom float CDOM chlorophyll_a float Chlorophyll a conductivity float Raw Conductivity crs int http://www.opengis.net/def/crs/EPSG/0/4326 ctd41cp_timestamp double sci_ctd41cp_timestamp density float Density glider_altitude float glider_altitude m_pitch float m_pitch m_roll float m_roll potential_temperature float Potential Temperature pressure float CTD Pressure profile_time double Profile Center Time salinity float Practical Salinity sci_bbfl2s_cdom_ref float sci_bbfl2s_cdom_ref sci_bbfl2s_cdom_sig float sci_bbfl2s_cdom_sig sci_bbfl2s_chlor_ref float sci_bbfl2s_chlor_ref sci_bbfl2s_chlor_sig float sci_bbfl2s_chlor_sig sci_bbfl2s_temp float sci_bbfl2s_temp sci_c3sfl_cdom float sci_c3sfl_cdom sci_c3sfl_chlorophyll float Chlorophyll a sci_c3sfl_turbidity float sci_c3sfl_turbidity sci_m_disk_free float sci_m_disk_free sci_m_present_time double sci_m_present_time sci_water_pressure float CTD Pressure sound_speed float Sound Velocity temperature float Raw Temperature u float Eastward Current v float Northward Current water_depth float m_water_depth John Kerfoot Rutgers University DMCS 848-932-3344 71 Dudley Road New Brunswick NJ 08901 USA kerfoot@marine.rutgers.edu distributor OPeNDAP DAP/2.0 https://slocum-data.marine.rutgers.edu/erddap/tabledap/ud_134-20200731T2103-profile-sci-rt.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://slocum-data.marine.rutgers.edu/erddap/tabledap/ud_134-20200731T2103-profile-sci-rt.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 2020-08-19T02:35:22Z: /tmp/tmplq15p2r2/ud_134_20200819T014533Z_sbd7qpqeqby.nc created 2020-08-19T02:35:22Z: /home/kerfoot/code/glider-proc/scripts/proc_deployment_profiles_to_nc.py /home/coolgroup/slocum/deployments/2020/ud_134-20200731T2103/data/in/ascii/sbd/ud_134_2020_230_0_8_sbd.dat This record was created from dataset metadata by ERDDAP Version 2.30.0