ru33-20200826T1604-profile-sci-delayed eng UTF8 dataset service Lori Garzio Rutgers University DMCS 848-932-3344 71 Dudley Road New Brunswick NJ 08901 USA lgarzio@marine.rutgers.edu pointOfContact 2026-08-25 ISO 19115-2 Geographic Information - Metadata Part 2 Extensions for Imagery and Gridded Data ISO 19115-2:2009(E) 4 column row vertical temporal ru33-20200826T1604 Delayed Mode Science Profiles 2021-03-01 creation 2021-03-01 issued slocum-data.marine.rutgers.edu ru33-20200826T1604-profile-sci-delayed John Kerfoot Rutgers University kerfoot@marine.rutgers.edu https://rucool.marine.rutgers.edu information web browser Background Information Background information from the source information originator Travis Miles,Scott Glenn,Josh Kohut,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 transected offshore along the Endurance line to the shelf break, south along the break then back toward Tuckerton, NJ with an inshore point at about 30 meters depth. This dataset contains CTD measurements from both a Seabird Scientific pumped CTD and an RBRlegato3 inductive CTD. This is the second deployment of this glider of the 2020 Atlantic hurricane season with the same mission objectives as the previous. This is a high-resolution delayed mode dataset. 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 Rutgers University kerfoot@marine.rutgers.edu 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 sea_water_electrical_conductivity sea_water_electrical_conductivity time sea_water_density sea_water_density sea_water_potential_temperature sea_water_potential_temperature sea_water_pressure time sea_water_practical_salinity sea_water_practical_salinity time sea_water_pressure sea_water_pressure speed_of_sound_in_sea_water speed_of_sound_in_sea_water sea_water_temperature 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 -74.30898 -73.102425 38.322876 39.40682 seconds 2020-08-26T16:06:15Z 2020-10-03T18:02:55Z -100.081 0.3244289 ru33-20200826T1604 Delayed Mode Science Profiles 2021-03-01 creation 2021-03-01 issued John Kerfoot Rutgers University kerfoot@marine.rutgers.edu https://rucool.marine.rutgers.edu information web browser Background Information Background information from the source information originator Travis Miles,Scott Glenn,Josh Kohut,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 transected offshore along the Endurance line to the shelf break, south along the break then back toward Tuckerton, NJ with an inshore point at about 30 meters depth. This dataset contains CTD measurements from both a Seabird Scientific pumped CTD and an RBRlegato3 inductive CTD. This is the second deployment of this glider of the 2020 Atlantic hurricane season with the same mission objectives as the previous. This is a high-resolution delayed mode dataset. ERDDAP tabledap 1 -74.30898 -73.102425 38.322876 39.40682 seconds 2020-08-26T16:06:15Z 2020-10-03T18:02:55Z -100.081 0.3244289 tight ERDDAPtabledapDatasetQueryAndAccess https://slocum-data.marine.rutgers.edu/erddap/tabledap/ru33-20200826T1604-profile-sci-delayed 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 ru33-20200826T1604 Delayed Mode Science Profiles 2021-03-01 creation 2021-03-01 issued John Kerfoot Rutgers University kerfoot@marine.rutgers.edu https://rucool.marine.rutgers.edu information web browser Background Information Background information from the source information originator Travis Miles,Scott Glenn,Josh Kohut,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 transected offshore along the Endurance line to the shelf break, south along the break then back toward Tuckerton, NJ with an inshore point at about 30 meters depth. This dataset contains CTD measurements from both a Seabird Scientific pumped CTD and an RBRlegato3 inductive CTD. This is the second deployment of this glider of the 2020 Atlantic hurricane season with the same mission objectives as the previous. This is a high-resolution delayed mode dataset. OPeNDAP 1 -74.30898 -73.102425 38.322876 39.40682 seconds 2020-08-26T16:06:15Z 2020-10-03T18:02:55Z -100.081 0.3244289 tight OPeNDAPDatasetQueryAndAccess https://slocum-data.marine.rutgers.edu/erddap/tabledap/ru33-20200826T1604-profile-sci-delayed 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 ru33-20200826T1604 Delayed Mode Science Profiles 2021-03-01 creation 2021-03-01 issued John Kerfoot Rutgers University kerfoot@marine.rutgers.edu https://rucool.marine.rutgers.edu information web browser Background Information Background information from the source information originator Travis Miles,Scott Glenn,Josh Kohut,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 transected offshore along the Endurance line to the shelf break, south along the break then back toward Tuckerton, NJ with an inshore point at about 30 meters depth. This dataset contains CTD measurements from both a Seabird Scientific pumped CTD and an RBRlegato3 inductive CTD. This is the second deployment of this glider of the 2020 Atlantic hurricane season with the same mission objectives as the previous. This is a high-resolution delayed mode dataset. ERDDAP Subset 1 -74.30898 -73.102425 38.322876 39.40682 seconds 2020-08-26T16:06:15Z 2020-10-03T18:02:55Z -100.081 0.3244289 tight ERDDAP_Subset https://slocum-data.marine.rutgers.edu/erddap/tabledap/ru33-20200826T1604-profile-sci-delayed.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 ru33 instrument_ctd int Conductivity, Temperature, Depth (CTD) Sensor instrument_ctd_rbr int Conductivity, Temperature, Depth (CTD) Sensor conductivity float Raw Conductivity conductivity2 float Raw Conductivity2 crs int http://www.opengis.net/def/crs/EPSG/0/4326 ctd41cp2_timestamp double sci_ctd41cp2_timestamp density float RBR Density density2 float SBE Density glider_altitude float Glider Altitude Above the Seafloor m_pitch float m_pitch m_roll float m_roll m_science_clothesline_lag float m_science_clothesline_lag potential_temperature float RBR Potential Temperature potential_temperature2 float SBE Potential Temperature pressure float CTD Pressure profile_time double Profile Center Time salinity float Practical Salinity salinity2 float Practical Salinity sci_m_present_time double sci_m_present_time sci_software_ver float sci_software_ver sci_water_pressure float RBR Pressure sci_water_pressure2 float SBE Pressure sound_speed float RBR Sound Velocity sound_speed2 float SBE Sound Velocity temperature float RBR Temperature temperature2 float SBE Temperature u float Eastward Current v float Northward Current water_depth float m_water_depth Lori Garzio Rutgers University DMCS 848-932-3344 71 Dudley Road New Brunswick NJ 08901 USA lgarzio@marine.rutgers.edu distributor OPeNDAP DAP/2.0 https://slocum-data.marine.rutgers.edu/erddap/tabledap/ru33-20200826T1604-profile-sci-delayed.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/ru33-20200826T1604-profile-sci-delayed.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 2021-03-01T17:51:53Z: /tmp/tmpmbc4umr0/ru33_20201003T180135Z_dbd7vaea3q3.nc created 2021-03-01T17:51:53Z: /home/kerfoot/code/glider-proc/scripts/proc_deployment_profiles_to_nc.py /home/coolgroup/slocum/deployments/2020/ru33-20200826T1604/data/in/ascii/dbd/ru33_2020_276_5_0_dbd.dat This record was created from dataset metadata by ERDDAP Version 2.30.0