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Ocean Data Access and Tools
NASA data span the geophysical parameters that characterize the global ocean and the physical processes operating within its depths and at its surface. Our datasets and tools help researchers translate these interconnected data points into actionable knowledge.
Ocean Datasets
| Dataset Sort descending | Version | Platform | Instrument | Temporal Extent | Spatial Extent | Spatial Resolution | Data Format |
|---|---|---|---|---|---|---|---|
| RSS SSM/I OCEAN PRODUCT GRIDS WEEKLY AVERAGE FROM DMSP F10 NETCDF V7 | 7 | DMSP 5D-2/F10 | SSM/I | 1990-12-02 to 1997-11-15 |
N: 90 S: -90 E: 180 W: -180 |
netCDF-4 | |
| RSS SSM/I OCEAN PRODUCT GRIDS WEEKLY AVERAGE FROM DMSP F11 NETCDF V7 | 7 | DMSP 5D-2/F11 | SSM/I | 1991-12-01 to 2000-05-20 |
N: 90 S: -90 E: 180 W: -180 |
netCDF-4 | |
| RSS SSM/I OCEAN PRODUCT GRIDS WEEKLY AVERAGE FROM DMSP F13 NETCDF V7 | 7 | DMSP 5D-2/F13 | SSM/I | 1995-04-30 to 2009-11-07 |
N: 90 S: -90 E: 180 W: -180 |
netCDF-4 | |
| RSS SSM/I OCEAN PRODUCT GRIDS WEEKLY AVERAGE FROM DMSP F14 NETCDF V7 | 7 | DMSP 5D-2/F14 | SSM/I | 1997-05-04 to 2008-08-09 |
N: 90 S: -90 E: 180 W: -180 |
netCDF-4 | |
| RSS SSM/I OCEAN PRODUCT GRIDS WEEKLY AVERAGE FROM DMSP F15 NETCDF V7 | 7 | DMSP 5D-3/F15 | SSM/I | 1999-12-12 to 2011-12-31 |
N: 90 S: -90 E: 180 W: -180 |
netCDF-4 | |
| RSS SSM/I OCEAN PRODUCT GRIDS WEEKLY AVERAGE FROM DMSP F8 NETCDF V7 | 7 | DMSP 5D-2/F8 | SSM/I | 1987-07-05 to 1992-01-04 |
N: 90 S: -90 E: 180 W: -180 |
netCDF-4 | |
| RSS SSMIS OCEAN PRODUCT GRIDS 3-DAY AVERAGE FROM DMSP F16 NETCDF V7 | 7 | DMSP 5D-3/F16 | SSMIS | 2003-10-24 |
N: 90 S: -90 E: 180 W: -180 |
netCDF-4 | |
| RSS SSMIS OCEAN PRODUCT GRIDS 3-DAY AVERAGE FROM DMSP F17 NETCDF V7 | 7 | DMSP 5D-3/F17 | SSMIS | 2006-12-12 |
N: 90 S: -90 E: 180 W: -180 |
netCDF-4 | |
| RSS SSMIS OCEAN PRODUCT GRIDS DAILY FROM DMSP F16 NETCDF V7 | 7 | DMSP 5D-3/F16 | SSMIS | 2003-10-26 |
N: 90 S: -90 E: 180 W: -180 |
netCDF-4 | |
| RSS SSMIS OCEAN PRODUCT GRIDS DAILY FROM DMSP F17 NETCDF V7 | 7 | DMSP 5D-3/F17 | SSMIS | 2006-12-14 |
N: 90 S: -90 E: 180 W: -180 |
netCDF-4 | |
| RSS SSMIS OCEAN PRODUCT GRIDS MONTHLY AVERAGE FROM DMSP F16 NETCDF V7 | 7 | DMSP 5D-3/F16 | SSMIS | 2003-10-01 |
N: 90 S: -90 E: 180 W: -180 |
netCDF-4 | |
| RSS SSMIS OCEAN PRODUCT GRIDS MONTHLY AVERAGE FROM DMSP F17 NETCDF V7 | 7 | DMSP 5D-3/F17 | SSMIS | 2006-12-01 |
N: 90 S: -90 E: 180 W: -180 |
netCDF-4 | |
| RSS SSMIS OCEAN PRODUCT GRIDS WEEKLY AVERAGE FROM DMSP F16 NETCDF V7 | 7 | DMSP 5D-3/F16 | SSMIS | 2003-10-26 |
N: 90 S: -90 E: 180 W: -180 |
netCDF-4 | |
| RSS SSMIS OCEAN PRODUCT GRIDS WEEKLY AVERAGE FROM DMSP F17 NETCDF V7 | 7 | DMSP 5D-3/F17 | SSMIS | 2006-12-10 |
N: 90 S: -90 E: 180 W: -180 |
netCDF-4 | |
| RSS WindSat L1C Calibrated TB Version 8 | 8.0 | CORIOLIS | WINDSAT | 2003-02-01 to 2020-10-19 |
N: 90 S: -90 E: 180 W: -180 |
30000 Meters x 30000 Meters 50000 Meters x 50000 Meters |
netCDF-4 |
| Saharan Dust AERosols and Ocean Science Expeditions | 0 | BUOYS, MOORINGS, Water-based Platforms, AUVS, ROVS, Ships | 2004-03-02 to 2017-04-01 |
N: 90 S: -90 E: 180 W: -180 |
|||
| Saildrone 2021 Arctic field campaign for the Multi-Sensor Improved SST (MISST) project | 1 | Saildrone | CTD, ADCP, ANEMOMETERS, FLUOROMETERS, TEMPERATURE SENSORS, HUMIDITY SENSORS, PYROMETERS, PAR SENSORS, BAROMETERS | 2021-07-06 to 2021-10-21 |
N: 71 S: 65 E: -164.5 W: -168 |
netCDF-4 | |
| Saildrone 2022 Arctic field campaign for the Multi-Sensor Improved SST (MISST) project | 1 | Saildrone | CTD, ADCP, ANEMOMETERS, FLUOROMETERS, TEMPERATURE SENSORS, HUMIDITY SENSORS, PYROMETERS, PAR SENSORS, BAROMETERS | 2022-06-18 to 2022-08-17 |
N: 71.6 S: 65.2 E: -157.2 W: -168.5 |
netCDF-4 | |
| Saildrone Arctic field campaign surface and ADCP measurements for NOPP-MISST project | 1.0 | Saildrone | PYROMETERS, ADCP, CTD, ANEMOMETERS, FLUOROMETERS, BAROMETERS | 2019-05-14 to 2019-10-11 |
N: 75.5 S: 53.8 E: -146.1 W: -168.7 |
netCDF-4 | |
| Saildrone Baja field campaign surface and ADCP measurements | 1.0 | Saildrone | PYROMETERS, ADCP, CTD, FLUOROMETERS, ANEMOMETERS, BAROMETERS | 2018-04-11 to 2018-06-11 |
N: 37.82 S: 28.01 E: -115.52 W: -125.55 |
netCDF-4 | |
| Saildrone field campaign surface and ADCP measurements for the Atlantic Tradewind Ocean-Atmosphere Mesoscale Interaction Campaign (ATOMIC) project | 1.0 | Saildrone | PYROMETERS, ADCP, CTD, ANEMOMETERS, FLUOROMETERS, BAROMETERS | 2020-01-17 to 2020-03-02 |
N: 12.1 S: 7.4 E: -48.6 W: -59.4 |
netCDF-4 | |
| SaltonSea-RSWQ | 0 | BUOYS, MOORINGS, Water-based Platforms, AUVS, ROVS, Ships | 2023-12-31 to 2025-12-31 |
N: 90 S: -90 E: 180 W: -180 |
|||
| San Diego Coastal Project | 0 | BUOYS, MOORINGS, Water-based Platforms, AUVS, ROVS, Ships | 2004-11-18 to Present |
N: 90 S: -90 E: 180 W: -180 |
|||
| SARAL Near-Real-Time Value-added Operational Geophysical Data Record Sea Surface Height Anomaly | f | SARAL | ALTIKA Altimeter | 2020-03-18 |
N: 82 S: -82 E: 180 W: -180 |
8000 Meters x 8000 Meters | netCDF-4 |
| SASS (Subsonics Assessment) Ozone and NOx Experiment (SONEX) DC-8 In-Situ Meteorological and Navigation Data | 1 | NASA DC-8 | MMS, MTP, DLH, DADS | 1997-10-07 to 1997-11-13 | AMES |
Surface Water and Ocean Topography (SWOT) Platform
SWOT provides detailed surface topography and monitors water body changes over time. The platform enables high-resolution ocean monitoring at 15-150 km spatial scales, tracking ocean currents, coastal dynamics, storm surges, and regional sea level changes. On land, SWOT measures water storage changes in lakes, reservoirs, rivers, and wetlands, supporting river discharge estimates for water resource assessment.
Researchers explore using SWOT data to derive two-dimensional estimates of sea ice thickness.
The Surface Water and Ocean Topography (SWOT) Swath Visualizer provides a visualization of two instruments’ coverage of Earth's surface: the Ka-band Radar Interferometer and altimeter.
SWOT presents opportunities and challenges in characterizing sea surface height anomalies.
Ocean Data Tools
| Tool Sort descending | Description | Services | |
|---|---|---|---|
| AppEEARS | The The Application for Extracting and Exploring Analysis Ready Samples (AppEEARS) offers users a simple and efficient way to perform data access and transformation processes. | Search and Discovery, Subsetting, Customization, Downloading, Visualization | |
| CASEI | The Catalog of Archived Suborbital Earth Science Investigations (CASEI) is a comprehensive inventory of contextual information for NASA's Earth Science airborne and field campaigns. | Search and Discovery, Cataloging | |
| CyAN File Search | The CyAN File Search tool allows users to choose an area over the continental United States and Alaska to retrieve cyanobacteria datasets archived by the Cyanobacteria Assessment Network (CyAN) project. | Analysis, Search and Discovery, Visualization | |
| CyFi Explorer | CyFi Explorer enables users to view corresponding Sentinel-2 satellite imagery for each cyanobacteria estimate, and estimate cyanobacteria density. | Analysis, Search and Discovery, Visualization | |
| Giovanni | Giovanni is a web application for accessing, visualizing, and analyzing Earth science remote sensing data without downloading the data. | Search and Discovery, Analysis, Access, Visualization, Downloading, Subsetting | |
| Hydrocron | Hydrocron is an API that repackages hydrology datasets from SWOT into formats that make time-series analysis easier. | Subsetting, Visualization | |
| Ocean Color Level 3 and 4 Browser | The Ocean Color Level 3 and 4 Browser allows users to view, download, or order global composites at various spatial and temporal scales (level 3) or get results from analyses of lower-level data (level 4). | Analysis, Search and Discovery, Visualization | |
| Panoply | Panoply is a cross-platform application that plots geo-referenced and other arrays from netCDF, HDF, GRIB, and other datasets. | Visualization, Customization, Reformatting, Subsetting, Comparison | |
| SeaBASS | SeaBASS is public archive of ocean and atmosphere data captured in situ. The archive is maintained by NASA's Ocean Biology Processing Group (OBPG). | Downloading | |
| SeaDAS | Sea, earth, atmosphere Data Analysis System (SeaDAS) is a comprehensive image analysis package for the processing, display, analysis, and quality control of ocean color data. | Analysis, Visualization, Processing |
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