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GHRSST NOAA/STAR ACSPO v2.81 0.02 degree L3S Dataset from Afternoon LEO Satellites (GDS version 2) for 2024-06-01 (NCEI Accession 0293638)
Data provided by National Oceanic and Atmospheric Administration
The L3S_LEO_PM-STAR-v2.81 dataset produced by the NOAA Advanced Clear-Sky Processor for Ocean (ACSPO) system derives the Subskin Sea Surface Temperature (SST) from the VIIRSs (Visible Infrared Imaging Radiometer Suite) onboard the Suomi-NPP, NOAA-20 and NOAA-21 satellites and MODIS (Moderate Resolution Imaging Spectroradiometer) onboard the Aqua satellite. The L3S-LEO is a family of multi-sensor super-collated (L3S) gridded 0.02º resolution SST products from low earth orbit (LEO) satellites.
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Modified: 2024-08-20
GHRSST NOAA/STAR ACSPO v2.81 0.02 degree L3S Daily Dataset from LEO Satellites (GDS version 2) for 2024-06-01 (NCEI Accession 0293639)
Data provided by National Oceanic and Atmospheric Administration
The L3S_LEO_DY-STAR-v2.81 dataset produced by the NOAA Advanced Clear-Sky Processor for Ocean (ACSPO) system derives the Subskin Sea Surface Temperature (SST) from multiple instruments, including the VIIRS onboard the Suomi-NPP, NOAA-20 and NOAA-21 satellites, AVHRR onboard Metop-A, B , C satellites and MODIS onboard the Terra and Aqua satellites. The L3S-LEO is a family of multi-sensor super-collated (L3S) gridded 0.02º resolution SST products from low earth orbit (LEO) satellites.
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Modified: 2024-08-20
NOAA high resolution sea surface winds data from Synthetic Aperture Radar (SAR) on Sentinel-1 satellites from 2024-04-01 to 2024-04-30 (NCEI Accession 0293643)
Data provided by National Oceanic and Atmospheric Administration
This dataset consists of high resolution sea surface winds data produced from Synthetic Aperture Radar (SAR) on board the Sentinel-1A satellite. The basic archive file is a netCDF-4 file containing SAR wind, land mask, and time and earth location information. Also included are maps of the SAR winds in GeoTIFF format. The product covers the geographic extent of the SAR image frame from which it was derived.
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Modified: 2024-08-20
NOAA high resolution sea surface winds data from Synthetic Aperture Radar (SAR) on Sentinel-1 satellites from 2024-05-01 to 2024-05-31 (NCEI Accession 0293644)
Data provided by National Oceanic and Atmospheric Administration
This dataset consists of high resolution sea surface winds data produced from Synthetic Aperture Radar (SAR) on board the Sentinel-1A satellite. The basic archive file is a netCDF-4 file containing SAR wind, land mask, and time and earth location information. Also included are maps of the SAR winds in GeoTIFF format. The product covers the geographic extent of the SAR image frame from which it was derived.
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Modified: 2024-08-20
Trajectory profile data from glider SBU01-11, including pH deployed by Stony Brook University in the Mid-Atlantic Bight, North Atlantic Ocean from 2024-02-12 to 2024-03-01 (NCEI Accession 0293647)
Data provided by National Oceanic and Atmospheric Administration
This dataset contains the trajectory profile data from glider SBU01-11 from one seasonal deployment to investigate conditions in the Midd Atlantic Bight including the monitoring of ocean acidification. The glider used for the automated observation includes an integrated deep rated version of the Ion Sensitive Field Effect Transistor (ISFET)-based pH sensor.
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Modified: 2024-08-20
Trajectory profile data from glider SBU01-09, including pH deployed by Stony Brook University in the Mid-Atlantic Bight, North Atlantic Ocean from 2023-07-06 to 2023-08-01 (NCEI Accession 0293648)
Data provided by National Oceanic and Atmospheric Administration
This dataset contains the trajectory profile data from glider SBU01-09 from one seasonal deployment to investigate conditions in the Midd Atlantic Bight including the monitoring of ocean acidification. The glider used for the automated observation includes an integrated deep rated version of the Ion Sensitive Field Effect Transistor (ISFET)-based pH sensor.
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Modified: 2024-08-20
Trajectory profile data from glider SBU01-10, including pH deployed by Stony Brook University in the Mid-Atlantic Bight, North Atlantic Ocean from 2023-10-11 to 2023-10-30 (NCEI Accession 0293649)
Data provided by National Oceanic and Atmospheric Administration
This dataset contains the trajectory profile data from glider SBU01-10 from one seasonal deployment to investigate conditions in the Midd Atlantic Bight including the monitoring of ocean acidification. The glider used for the automated observation includes an integrated deep rated version of the Ion Sensitive Field Effect Transistor (ISFET)-based pH sensor.
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Modified: 2024-08-20
Diel Assessment of Life in Lake Erie (DALLE): Physical, chemical, and biological water quality data collected from the R/V LAURENTIAN in western Lake Erie in the Great Lakes region from 2023-07-14 to 2023-07-25 (NCEI Accession 0293811)
Data provided by National Oceanic and Atmospheric Administration
Biological, physical, and chemical water quality data collected to assess diel patterns and short-term weather events during a sampling cruise aboard the R/V LAURENTIAN (R8001) from 2023-07-14 to 2023-07-25. These data were collected at several time points during each 24-hour period from the NOAA Great Lakes Environmental Research Laboratory’s (GLERL) western Lake Erie near master station WE12, approximately five miles north of Reno Beach, Ohio.
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Modified: 2024-08-20
Low resolution real-time physical trajectory profile data from glider blue deployed by Rutgers University; Center for Ocean Observing Leadership (RU COOL) and University of Massachusetts Dartmouth (UMass Dartmouth) in the Mid-Atlantic Bight from 2024-04-22 to 2024-05-17 (NCEI Accession 0293837)
Data provided by National Oceanic and Atmospheric Administration
This project supports the deployment and real-time data delivery of autonomous underwater gliders in the coastal ocean in support of the MARACOOS project. This is a partnership between NOAA Integrated Ocean Observing System (IOOS), MARACOOS, and academic institutions. The goal of the project is to provide real-time data for assimilation into numerical models. This project is supported by NOAA IOOS. The glider will conduct a triangle shaped path to monitor spring algae blooms.
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Modified: 2024-08-20
Low resolution real-time physical trajectory profile data from glider ru23 deployed by Rutgers University; Center for Ocean Observing Leadership (RU COOL) in the North Atlantic from 2024-04-01 to 2024-04-22 (NCEI Accession 0293838)
Data provided by National Oceanic and Atmospheric Administration
The Rutgers University Master of Operational Oceanography (MOO) is a compact 12-month Master of Science degree program that provides applied training. This glider deployment is being piloted and managed by the 2023-2024 class and will survey the Rutgers E-line, a cross-shelf transect extending from Atlantic City, NJ.
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Modified: 2024-08-20