ru33-20211001T1841-profile-sci-delayed
eng
UTF8
dataset
service
John Kerfoot
Rutgers University - DMCS
+1 848-932-3344
71 Dudley Road
New Brunswick
NJ
08901
USA
kerfoot@marine.rutgers.edu
pointOfContact
2024-03-29
ISO 19115-2 Geographic Information - Metadata Part 2 Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
4
column
row
vertical
temporal
ru33-20211001T1841 Delayed Science Profile
2021-11-10
creation
2021-11-10
issued
slocum-data.marine.rutgers.edu
ru33-20211001T1841-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, Carlos Moffat, Dave Aragon, Nicole Waite, Chip Haldeman, John Kerfoot, Laura Nazzaro, Lori Garzio
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 the hurricane season. This project is supported by the Disaster Recovery Act. This glider was supported by MARACOOS and deployed out of Tuckerton, NJ and will sample a triangle pattern out toward the shelf-break. Delayed mode dataset.
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
cdom
conductivity
crs
density
platform
pressure
ru33
ru33-20211001T1841
salinity
temperature
trajectory
u
v
theme
Sustained Underwater Glider Observations for Improving Atlantic Tropical Cyclone Intensity Forecast
project
time
latitude
longitude
depth
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
time
sea_water_potential_temperature
sea_water_pressure
latitude
longitude
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
Profile
largerWorkCitation
project
eng
geoscientificInformation
1
-74.201706
-73.60939
38.81111
39.485794
seconds
2021-10-01T18:41:12.41Z
2021-10-20T14:09:41.19Z
-49.31777
0.02977234
ru33-20211001T1841 Delayed Science Profile
2021-11-10
creation
2021-11-10
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, Carlos Moffat, Dave Aragon, Nicole Waite, Chip Haldeman, John Kerfoot, Laura Nazzaro, Lori Garzio
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 the hurricane season. This project is supported by the Disaster Recovery Act. This glider was supported by MARACOOS and deployed out of Tuckerton, NJ and will sample a triangle pattern out toward the shelf-break. Delayed mode dataset.
ERDDAP tabledap
1
-74.201706
-73.60939
38.81111
39.485794
seconds
2021-10-01T18:41:12.41Z
2021-10-20T14:09:41.19Z
-49.31777
0.02977234
tight
ERDDAPtabledapDatasetQueryAndAccess
https://slocum-data.marine.rutgers.edu/erddap/tabledap/ru33-20211001T1841-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
ru33-20211001T1841 Delayed Science Profile
2021-11-10
creation
2021-11-10
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, Carlos Moffat, Dave Aragon, Nicole Waite, Chip Haldeman, John Kerfoot, Laura Nazzaro, Lori Garzio
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 the hurricane season. This project is supported by the Disaster Recovery Act. This glider was supported by MARACOOS and deployed out of Tuckerton, NJ and will sample a triangle pattern out toward the shelf-break. Delayed mode dataset.
OPeNDAP
1
-74.201706
-73.60939
38.81111
39.485794
seconds
2021-10-01T18:41:12.41Z
2021-10-20T14:09:41.19Z
-49.31777
0.02977234
tight
OPeNDAPDatasetQueryAndAccess
https://slocum-data.marine.rutgers.edu/erddap/tabledap/ru33-20211001T1841-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
ru33-20211001T1841 Delayed Science Profile
2021-11-10
creation
2021-11-10
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, Carlos Moffat, Dave Aragon, Nicole Waite, Chip Haldeman, John Kerfoot, Laura Nazzaro, Lori Garzio
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 the hurricane season. This project is supported by the Disaster Recovery Act. This glider was supported by MARACOOS and deployed out of Tuckerton, NJ and will sample a triangle pattern out toward the shelf-break. Delayed mode dataset.
ERDDAP Subset
1
-74.201706
-73.60939
38.81111
39.485794
seconds
2021-10-01T18:41:12.41Z
2021-10-20T14:09:41.19Z
-49.31777
0.02977234
tight
ERDDAP_Subset
https://slocum-data.marine.rutgers.edu/erddap/tabledap/ru33-20211001T1841-profile-sci-delayed.subset
search
Subset
Web page to facilitate selecting subsets of the dataset
download
physicalMeasurement
time
double
Timestamp
trajectory
String
Trajectory/Deployment Name
source_file
String
Source data file
beta_700nm
float
Beta 700nm at 117 degrees
beta_700nm_reference
float
Beta 700nm Reference at 117 degrees
beta_700nm_signal
float
Beta 700nm Signal at 117 degrees
cdom
float
CDOM
cdom_reference
float
CDOM Reference
cdom_signal
float
CDOM Signal
chlorophyll_a
float
Chlorophyll a
conductivity
float
Raw Conductivity
crs
int
http://www.opengis.net/def/crs/EPSG/0/4326
ctd41cp_timestamp
double
CTD41cp Timestamp
density
float
Density
flbbcd_timestamp
double
FLBBCD Timestamp
glider_altitude
float
Glider Altitude Above the Seafloor
instrument_ctd
int
Conductivity, Temperature, Depth (CTD) Sensor
instrument_flbbcd
int
ECO Triplet Puck
instrument_microrider
int
Rockland MicroRider-1000
m_pitch
float
M Pitch
m_roll
float
M Roll
m_science_clothesline_lag
float
m_science_clothesline_lag
platform
int
Slocum Glider ru33
potential_temperature
float
Potential Temperature
pressure
float
CTD Pressure
profile_id
int
Profile ID
profile_lat
double
Profile Center Latitude
profile_lon
double
Profile Center Longitude
profile_time
double
Profile Center Time
salinity
float
Practical Salinity
sci_ctd41cp_is_installed
byte
sci_ctd41cp_is_installed
sci_flbbcd_chlor_ref
float
sci_flbbcd_chlor_ref
sci_flbbcd_chlor_sig
float
sci_flbbcd_chlor_sig
sci_flbbcd_is_installed
byte
sci_flbbcd_is_installed
sci_flbbcd_therm
float
sci_flbbcd_therm
sci_m_present_time
double
sci_m_present_time
sci_software_ver
float
sci_software_ver
sci_water_pressure
float
CTD Pressure
sound_speed
float
Sound Velocity
temperature
float
Raw Temperature
u
float
Eastward Depth-Averaged Current
v
float
Northward Depth-Averaged Current
water_depth
float
m_water_depth
John Kerfoot
Rutgers University - DMCS
+1 848-932-3344
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/ru33-20211001T1841-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/ru33-20211001T1841-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
2021-11-10T20:08:45Z: /tmp/tmp2smtuaz7/ru33_20211001T184209Z_dbdkhf9_j6s.nc created
2021-11-10T20:08:45Z: /home/kerfoot/code/glider-proc/scripts/proc_deployment_profiles_to_nc.py /home/coolgroup/slocum/deployments/2021/ru33-20211001T1841/data/in/ascii/dbd/ru33_2021_273_1_0_dbd.dat
This record was created from dataset metadata by ERDDAP Version 2.22