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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 DAILY FROM DMSP F8 NETCDF V7 | 7 | DMSP 5D-2/F8 | SSM/I | 1987-07-09 to 1991-12-31 |
N: 90 S: -90 E: 180 W: -180 |
netCDF-4 | |
| RSS SSM/I OCEAN PRODUCT GRIDS MONTHLY AVERAGE FROM DMSP F10 NETCDF V7 | 7 | DMSP 5D-2/F10 | SSM/I | 1990-12-01 to 1997-11-30 |
N: 90 S: -90 E: 180 W: -180 |
netCDF-4 | |
| RSS SSM/I OCEAN PRODUCT GRIDS MONTHLY AVERAGE FROM DMSP F11 NETCDF V7 | 7 | DMSP 5D-2/F11 | SSM/I | 1991-12-01 to 2000-05-31 |
N: 90 S: -90 E: 180 W: -180 |
netCDF-4 | |
| RSS SSM/I OCEAN PRODUCT GRIDS MONTHLY AVERAGE FROM DMSP F13 NETCDF V7 | 7 | DMSP 5D-2/F13 | SSM/I | 1995-05-01 to 2009-11-30 |
N: 90 S: -90 E: 180 W: -180 |
netCDF-4 | |
| RSS SSM/I OCEAN PRODUCT GRIDS MONTHLY AVERAGE FROM DMSP F14 NETCDF V7 | 7 | DMSP 5D-2/F14 | SSM/I | 1997-05-01 to 2008-08-31 |
N: 90 S: -90 E: 180 W: -180 |
netCDF-4 | |
| RSS SSM/I OCEAN PRODUCT GRIDS MONTHLY AVERAGE FROM DMSP F15 NETCDF V7 | 7 | DMSP 5D-3/F15 | SSM/I | 1999-12-01 to 2011-12-31 |
N: 90 S: -90 E: 180 W: -180 |
netCDF-4 | |
| RSS SSM/I OCEAN PRODUCT GRIDS MONTHLY AVERAGE FROM DMSP F8 NETCDF V7 | 7 | DMSP 5D-2/F8 | SSM/I | 1987-07-01 to 1991-12-31 |
N: 90 S: -90 E: 180 W: -180 |
netCDF-4 | |
| 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 |
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 | |
|---|---|---|---|
| SOTO | State of the Ocean (SOTO) is an interactive web-based tool that generates informative maps, animations, and plots that communicate and prove the discovery and analysis of the state of the oceans. | Analysis, Search and Discovery, Visualization | |
| STREAM | STREAM is a rapid water quality monitoring tool that processes satellite imagery to create maps showing chlorophyll-a, Total Suspended Solids, and water clarity at 20-30 meter resolution. | Processing | |
| SWOT Swath Visualizer | 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. | Analysis, Data Curation, Visualization | |
| Worldview | Worldview offers the capability to interactively browse over 1,200 global, full-resolution satellite imagery layers and download the underlying data. | Analysis, Search and Discovery, Visualization, Access, Comparison, Monitoring Natural Events |
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Frequently Asked Questions
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