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).
Resources
| Name | Format | Description | Link |
|---|---|---|---|
| Web Resource | Binary | ||
| Original Metadata | Unknown | The metadata's original source. | Open resource |
| Web Resource | Binary | Open resource | |
| Data Information (Unknown Format) | Binary | Open resource | |
| Web Resource | Binary | ||
| Web Resource | Binary | ||
| Web Resource | Binary | Open resource | |
| Data Information (Unknown Format) | Binary | Open resource | |
| Data Information (JPEG) | JPG | NEUROST_SSH-SST_L4_V2024.0.jpg | Open resource |
| JPEG Image File | JPG | NEUROST_SSH-SST_L4_V2024.0.jpg | Open resource |
| Web Resource | Binary | ||
| Data Information (Unknown Format) | Binary | Open resource | |
| Web Resource | Binary | Open resource |
Tags
- earth-science-ocean-circulation-oceans-eddies-mesoscale-eddies
- earth-science-ocean-circulation-oceans-ocean-currents-surface-currents
- earth-science-sea-surface-topography-oceans-sea-level-sea-level-anomaly
- earth-science-sea-surface-topography-oceans-sea-surface-height
- earth-science-sea-surface-topography-oceans-sea-surface-height-sea-surface-height-anomaly-ssha