N: 79.9 S: -70 E: 180 W: -180
Description
This Daily NeurOST Level 4 Sea Surface Height and Surface Geostrophic Currents analysis product from the University of Washington and JPL was mapped by a neural network trained with sparse Level 3 nadir altimetry observations (CMEMS, E.U. Copernicus Marine Service Information) and the MUR Level 4 gridded sea surface temperature product (PO.DAAC).
Product Summary
Citation
Citation is critically important for dataset documentation and discovery. This dataset is openly shared, without restriction, in accordance with the EOSDIS Data Use and Citation Guidance.
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Documents
DATA CITATION GUIDELINES
Dataset Resources
Publications Citing This Dataset
| Title | Year Sort ascending | Author | Topic |
|---|---|---|---|
| A robust minimization-based framework for cyclogeostrophic ocean surface current retrieval | Bertrand, Vadim, Le Sommer, Julien, Vianna Zaia De Almeida, Victor, Samson, Adeline, Cosme, Emmanuel | Sea Surface Height, Sea Surface Height Anomaly (SSHA), Sea Level Anomaly, SURFACE CURRENTS, MESOSCALE EDDIES | |
| Detection and Characterization of Mesoscale Eddies in the Gulf of California Using High-Resolution Satellite Altimetry | Perez-Corona, Yuritzy, Torres, Hector, Ramos-Musalem, Karina | Sea Surface Temperature, Sea Surface Height, Sea Surface Height Anomaly (SSHA), Sea Level Anomaly, SURFACE CURRENTS, MESOSCALE EDDIES | |
| Observations of baroclinic tides in the California Current from the SWOT satellite altimeter and in situ data | Zaron, Edward D., Waterhouse, Amy F., Wang, Jinbo, Send, Uwe, Lucas, Andrew J. | Sea Surface Height, Significant Wave Height, OCEAN TEMPERATURE PROFILES, Sea Surface Height Anomaly (SSHA), Sea Level Anomaly, SURFACE CURRENTS, MESOSCALE EDDIES | |
| Generative Data Assimilation for Surface Ocean State Estimation From | Martin, Scott A., Manucharyan, Georgy E., Klein, Patrice | Sea Surface Height, Sea Surface Height Anomaly (SSHA), Sea Level Anomaly, SURFACE CURRENTS, MESOSCALE EDDIES, Sea Surface Temperature | |
| ORCAst: Operational High-Resolution Current Forecasts | Garcia, Pierre, Larroche, Ines, Pesnec, Amelie, Bull, Hannah, Archambault, Theo, Moschos, Evangelos, Stegner, Alexandre, Charantonis, Anastase, Bereziat, Dominique | Sea Surface Height, Sea Surface Height Anomaly (SSHA), Sea Level Anomaly, SURFACE CURRENTS, MESOSCALE EDDIES | |
| SWOT Mission Validation of Sea Surface Height Measurements at Sub-100 km | Wang, Jinbo, Lucas, Andrew J., Stalin, Scott, Lankhorst, Matthias, Send, Uwe, Schofield, Oscar, Kachelein, Luke, Haines, Bruce, Meinig, Christian, Pinkel, Robert, Farrar, J. Thomas, Fu, LeeLueng | Sea Surface Height, Significant Wave Height, Sea Surface Height Anomaly (SSHA), Sea Level Anomaly, SURFACE CURRENTS, MESOSCALE EDDIES | |
| Deep Learning Improves Global Satellite Observations of Ocean Eddy | Martin, Scott A., Manucharyan, Georgy E., Klein, Patrice | Sea Surface Temperature, Sea Surface Height, Sea Surface Height Anomaly (SSHA), Sea Level Anomaly, SURFACE CURRENTS, MESOSCALE EDDIES |
Variables
The table below lists the variables contained within a single granule for this dataset. Variables often contain observed or derived geophysical measurements collected from a variety of sources, including remote sensing instruments on satellite and airborne platforms, field campaigns, in situ measurements, and model outputs. The terms variable, parameter, scientific data set, layer, and band have been used across NASA’s Earth science disciplines; however, variable is the designated nomenclature in NASA’s Common Metadata Repository (CMR). Variable metadata attributes such as Name, Description, Units, Data Type, Fill Value, Valid Range, and Scale Factor allow users to efficiently process and analyze the data. The full range of attributes may not be applicable to all variables. Additional information on variable attributes is typically available in the data, user guide, and/or other product documentation.
For questions on a specific variable, please use the Earthdata Forum.
| Name Sort descending | Description | Units | Data Type | Fill Value | Valid Range | Scale Factor | Offset |
|---|---|---|---|---|---|---|---|
| adt | ADT from CNES/CLS MDT + SLA mapped using SimVP_SSH_SST_1M_global | m | float | N/A | N/A | 1 | N/A |
| Lambert_Azimuthal_Grid | Lambert_Azimuthal_Grid | N/A | int | N/A | N/A | 1 | N/A |
| latitude | latitude | degrees_north | double | N/A | N/A | 1 | N/A |
| longitude | longitude | degrees_east | double | N/A | N/A | 1 | N/A |
| sla | SLA mapped using SimVP_SSH_SST_1M_global | m | float | N/A | N/A | 1 | N/A |
| sn | -2*(g/f)*d2SLA/dxy | 1/s | float | N/A | N/A | 1 | N/A |
| ss | (g/f)*(d2SLA/dx2-d2SLA_dy2) | 1/s | float | N/A | N/A | 1 | N/A |
| time | time | days since 2010-01-03 | int64 | N/A | N/A | 1 | N/A |
| ugos | eastward surface geostrophic current velocity | m/s | float | N/A | N/A | 1 | N/A |
| ugosa | eastward surface geostrophic current velocity anomaly | m/s | float | N/A | N/A | 1 | N/A |
| vgos | northward surface geostrophic current velocity | m/s | float | N/A | N/A | 1 | N/A |
| vgosa | northward surface geostrophic current velocity anomaly | m/s | float | N/A | N/A | 1 | N/A |
| zeta | (g/f)*(d2SLA/dx2+d2SLA_dy2) | 1/s | float | N/A | N/A | 1 | N/A |