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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 | Version Sort ascending | Platforms | Instruments | Temporal Extent | Spatial Extent | Spatial Resolution | Data Format |
|---|---|---|---|---|---|---|---|
| MetOp-A ASCAT Scatterometer Inter-Calibrated ESDR Level 3 Ocean Surface Equivalent Neutral Wind Vectors and Wind Stress Version 1.0 | 1.0 | METOP-A | ASCAT | 2007-01-01 to 2014-04-02 |
N: 90 S: -90 E: 180 W: -180 |
0.125 Decimal Degrees x 0.125 Decimal Degrees | netCDF-4 |
| Metop-B ASCAT Inter-Calibrated ESDR Level 2 Observed and Modeled Spatial Derivatives of Surface Wind and Wind Stress Version 1.0 | 1.0 | METOP-B | ASCAT | 2013-08-01 to 2022-05-31 |
N: 90 S: -90 E: 180 W: -180 |
12.5 Kilometers x 12.5 Kilometers | netCDF-4 |
| QUIKSCAT Inter-Calibrated ESDR Level 2 Observed and Modeled Spatial Derivatives of Surface Wind and Wind Stress Version 1.0 | 1.0 | QUIKSCAT | SEAWINDS | 1999-10-27 to 2009-11-23 |
N: 90 S: -90 E: 180 W: -180 |
12.5 Kilometers x 12.5 Kilometers | netCDF-4 |
| CYGNSS Level 3 Storm Centric Grid Science Data Record Version 1.0 | 1.0 | CYGNSS | DDMI | 2018-08-05 to 2021-12-31 |
N: 55 S: 0 E: 0 W: -180 |
0.1 Decimal Degrees x 0.1 Decimal Degrees | netCDF-4 |
| CYGNSS Level 3 Climate Data Record Version 1.0 | 1.0 | CYGNSS | DDMI | 2017-03-18 to 2021-02-28 |
N: 40 S: -40 E: 180 W: -180 |
0.2 Decimal Degrees x 0.2 Decimal Degrees | netCDF-4 |
| Parametrized Rain Impact Model for SMAP L2 V1.0 | 1.0 | SMAP | SMAP L-BAND RADIOMETER | 2015-03-31 to 2021-10-01 |
N: 90 S: -90 E: 180 W: -180 |
netCDF4 | |
| SPURS-1 research vessel Thermosalinograph series data for N. Atlantic cruises | 1.0 | R/V Knorr, R/V Endeavor, R/V Thalassa, R/V Sarmiento | THERMOSALINOGRAPHS, SPURS_METEO | 2012-09-01 to 2013-10-13 |
N: 42 S: 20 E: -14 W: -73 |
1 Meters x 1 Meters | 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 | |
| SPURS-2 Central mooring CTD, surface flux and meterorological data for the E. Tropical Pacific field campaign | 1.0 | Mooring | CTD, MMS | 2016-08-16 to 2017-11-16 |
N: 10.05 S: 10.05 E: -125.03 W: -125.03 |
1 Meters x 1 Meters | netCDF-4 |
| MetOp-B ASCAT Scatterometer Inter-Calibrated ESDR Level 3 Ocean Surface Equivalent Neutral Wind Vectors and Wind Stress Version 1.0 | 1.0 | METOP-B | ASCAT | 2013-08-01 to 2022-05-31 |
N: 90 S: -90 E: 180 W: -180 |
0.125 Decimal Degrees x 0.125 Decimal Degrees | netCDF-4 |
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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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