sylvia_20210827t1536
eng
UTF8
dataset
service
Axiom Docker Install
Axiom Docker Install
555-555-5555
123 Irrelevant St.
Nowhere
AK
99504
USA
nobody@example.com
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
Glider - sylvia-20210827T1536
2021-09-11
creation
2021-09-11
issued
erddap.axiomdatascience.com
sylvia_20210827t1536
John Kerfoot
Virginia Institute of Marine Science - William & Mary
kerfoot@marine.rutgers.edu
https://gliders.ioos.us/erddap/
information
web browser
Background Information
Background information from the source
information
originator
Donglai Gong, Travis Miles, Haixing (Daniel) Wang, Laur Ferris, David Aragon, 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, Virginia Institute of Marine Science - William & Mary, 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 will survey the outershelf and shelfbreak region between Baltimore Canyon and Cape Hatteras.
This deployment is supported by funding from NOAA Award #NA20OAR4600260, and is coordinated between a partnership of IOOS, OAR, AOML, Navy, academic researchers, and private industry.
John Kerfoot
Virginia Institute of Marine Science - William & Mary
kerfoot@marine.rutgers.edu
https://gliders.ioos.us/erddap/
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
time
latitude
longitude
time
latitude
longitude
eastward_sea_water_velocity
northward_sea_water_velocity
depth
sea_water_pressure
sea_water_electrical_conductivity
sea_water_density
latitude
longitude
time
sea_water_practical_salinity
sea_water_temperature
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
-74.63119
-74.006874
37.496204
38.207638
seconds
2021-08-27T15:40:22Z
2021-09-10T01:14:45Z
-154.2428
0.009925569
Glider - sylvia-20210827T1536
2021-09-11
creation
2021-09-11
issued
John Kerfoot
Virginia Institute of Marine Science - William & Mary
kerfoot@marine.rutgers.edu
https://gliders.ioos.us/erddap/
information
web browser
Background Information
Background information from the source
information
originator
Donglai Gong, Travis Miles, Haixing (Daniel) Wang, Laur Ferris, David Aragon, 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, Virginia Institute of Marine Science - William & Mary, 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 will survey the outershelf and shelfbreak region between Baltimore Canyon and Cape Hatteras.
ERDDAP tabledap
1
-74.63119
-74.006874
37.496204
38.207638
seconds
2021-08-27T15:40:22Z
2021-09-10T01:14:45Z
-154.2428
0.009925569
tight
ERDDAPtabledapDatasetQueryAndAccess
https://erddap.axiomdatascience.com/erddap/tabledap/sylvia_20210827t1536
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
Glider - sylvia-20210827T1536
2021-09-11
creation
2021-09-11
issued
John Kerfoot
Virginia Institute of Marine Science - William & Mary
kerfoot@marine.rutgers.edu
https://gliders.ioos.us/erddap/
information
web browser
Background Information
Background information from the source
information
originator
Donglai Gong, Travis Miles, Haixing (Daniel) Wang, Laur Ferris, David Aragon, 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, Virginia Institute of Marine Science - William & Mary, 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 will survey the outershelf and shelfbreak region between Baltimore Canyon and Cape Hatteras.
OPeNDAP
1
-74.63119
-74.006874
37.496204
38.207638
seconds
2021-08-27T15:40:22Z
2021-09-10T01:14:45Z
-154.2428
0.009925569
tight
OPeNDAPDatasetQueryAndAccess
https://erddap.axiomdatascience.com/erddap/tabledap/sylvia_20210827t1536
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
Glider - sylvia-20210827T1536
2021-09-11
creation
2021-09-11
issued
John Kerfoot
Virginia Institute of Marine Science - William & Mary
kerfoot@marine.rutgers.edu
https://gliders.ioos.us/erddap/
information
web browser
Background Information
Background information from the source
information
originator
Donglai Gong, Travis Miles, Haixing (Daniel) Wang, Laur Ferris, David Aragon, 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, Virginia Institute of Marine Science - William & Mary, 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 will survey the outershelf and shelfbreak region between Baltimore Canyon and Cape Hatteras.
ERDDAP Subset
1
-74.63119
-74.006874
37.496204
38.207638
seconds
2021-08-27T15:40:22Z
2021-09-10T01:14:45Z
-154.2428
0.009925569
tight
ERDDAP_Subset
https://erddap.axiomdatascience.com/erddap/tabledap/sylvia_20210827t1536.subset
search
Subset
Web page to facilitate selecting subsets of the dataset
download
physicalMeasurement
trajectory
String
Trajectory Name
wmo_id
String
WMO ID
time
double
Profile Time
profile_id
short
Profile ID
time_uv
double
Depth-averaged Time
lat_uv
double
Depth-averaged Latitude
lon_uv
double
Depth-averaged Longitude
u
double
Depth-averaged Eastward Sea Water Velocity
v
double
Depth-averaged Northward Sea Water Velocity
latitude_qc
byte
latitude Variable Quality Flag
longitude_qc
byte
longitude Variable Quality Flag
time_qc
byte
time Variable Quality Flag
depth_qc
byte
depth Variable Quality Flag
pressure
double
Sea Water Pressure
pressure_qc
byte
pressure Variable Quality Flag
conductivity
float
Sea Water Electrical Conductivity
conductivity_qc
byte
conductivity Variable Quality Flag
density
float
Sea Water Density
density_qc
byte
density Variable Quality Flag
precise_lat
double
Precise Latitude
precise_lon
double
Precise Longitude
precise_time
double
Precise Time
precise_lat_qc
byte
precise_lat Variable Quality Flag
precise_lon_qc
byte
precise_lon Variable Quality Flag
precise_time_qc
byte
precise_time Variable Quality Flag
salinity
float
Sea Water Practical Salinity
salinity_qc
byte
salinity Variable Quality Flag
temperature
float
Sea Water Temperature
temperature_qc
byte
temperature Variable Quality Flag
time_uv_qc
byte
time_uv Variable Quality Flag
lat_uv_qc
byte
lat_uv Variable Quality Flag
lon_uv_qc
byte
lon_uv Variable Quality Flag
u_qc
byte
u Variable Quality Flag
v_qc
byte
v Variable Quality Flag
platform_meta
byte
Platform Metadata
instrument_ctd
byte
CTD Metadata
Axiom Docker Install
Axiom Docker Install
555-555-5555
123 Irrelevant St.
Nowhere
AK
99504
USA
nobody@example.com
distributor
OPeNDAP
DAP/2.0
https://erddap.axiomdatascience.com/erddap/tabledap/sylvia_20210827t1536.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.axiomdatascience.com/erddap/tabledap/sylvia_20210827t1536.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
2021-09-11T13:09:15Z: /tmp/tmp742sdv2q/sylvia_20210830T175541Z_rt7rdeqmdr.nc created
2021-09-11T13:09:15Z: //home/kerfoot/code/gncutils/scripts/dba_to_profile_nc.py /home/coolgroup/slocum/deployments/2021/sylvia-20210827T1536/data/in/ascii/queue/sylvia_2021_238_4_91_sbd.dat
2022-02-23T13:54:47Z (local files)
2022-02-23T13:54:47Z https://gliders.ioos.us/erddap/tabledap/sylvia-20210827T1536.ncCF
This record was created from dataset metadata by ERDDAP Version 2.23