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Ocean Winds Data Access and Tools
NASA has ocean winds datasets that help researchers characterize the flow of air moving across the ocean. Access a range of data and data tools such as AppEEARS, Worldview, and Giovanni to make the most of ocean winds data.
Ocean Winds Datasets
| Dataset Sort descending | Version | Platform | Instrument | Temporal Extent | Spatial Extent | Spatial Resolution | Data Format |
|---|---|---|---|---|---|---|---|
| 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 |
| 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 | |
| SASSIE Arctic Field Campaign L1 SWIFT Data Fall 2022 | 1 | BUOYS | ADCP, CTD, WAVE HEIGHT GAUGES, ANEMOMETERS, BAROMETERS, THERMOMETERS | 2022-08-01 to 2022-10-31 |
N: 73.5 S: 72 E: -145.5 W: -153.6 |
tar.gz | |
| SASSIE Arctic Field Campaign SWIFT Data Fall 2022 Version 1 | 1 | BUOYS | CTD, ADCP, WAVE HEIGHT GAUGES, ANEMOMETERS, BAROMETERS, THERMOMETERS | 2022-09-09 to 2022-09-30 |
N: 73.5 S: 72 E: -145.5 W: -153.6 |
netCDF-4 | |
| SASSIE Arctic Field Campaign Wave Glider Data Fall 2022 Version 1 | 1 | Wave Glider | CTD, ADCP, WAVE HEIGHT GAUGES, ANEMOMETERS, BAROMETERS, THERMOMETERS | 2022-08-12 to 2022-09-30 |
N: 73.5 S: 70 E: -142 W: -156 |
netCDF-4 | |
| SASSIE ECCO Ocean and Sea-Ice Surface Stress - Daily Mean llc1080 Grid (Version 1 Release 1) | V1R1 | MITgcm | 2014-01-15 to 2021-02-08 | NETCDF4 | |||
| SCATSAT-1 ESDR Level 2 Ancillary Ocean Surface Fields Version 1.1 | 1.1 | MODELS, SCATSAT-1 | Computer, OSCAT-2 | 2018-04-01 to 2021-03-01 |
N: 90 S: -90 E: 180 W: -180 |
12.5 Kilometers x 12.5 Kilometers | netCDF-4 |
| SCATSAT-1 Inter-Calibrated ESDR Level 2 Observed and Modeled Spatial Derivatives of Surface Wind and Wind Stress Version 1.0 | 1.0 | SCATSAT-1 | OSCAT-2 | 2018-04-01 to 2021-03-01 |
N: 90 S: -90 E: 180 W: -180 |
12.5 Kilometers x 12.5 Kilometers | netCDF-4 |
Featured Ocean Winds Observation Method: S-MODE
The Sub-Mesoscale Ocean Dynamics Experiment (S-MODE) was a NASA campaign studying small-scale ocean eddies and fronts. S-MODE consisted of three deployments off the coast of San Francisco during the fall of 2021-2022 and spring of 2023. Airborne measurements were taken with different remote instruments including the Doppler Scatterometry (DopplerScatt), Multiscale Observing System of the Ocean Surface (MOSES), Modular Aerial Sensing System (MASS), and Portable Remote Imaging SpectroMeter (PRISM). In-situ measurements were obtained through research vessels, gliders, drifters, and other water-based platforms.
The S-MODE project combined airborne remote sensing and in-situ data to reveal upper-ocean dynamics and small-scale ocean features.
Join us to learn more about the Sub-Mesoscale Ocean Dynamics Experiment (S-MODE) and how to access and use its free and open data.
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