Description
This dataset contains ice concentration rankings of S-band images from the S-BAND marine navigation radar collected during the 2022 Salinity and Stratification at the Sea Ice Edge (SASSIE) campaign. SASSIE is a NASA experiment that aims to understand how salinity anomalies in the upper ocean generated by melting sea ice affect sea surface temperature (SST), stratification, and subsequent sea-ice growth. SASSIE involved a field campaign that sampled the transition from summer melt to autumn ice advance in the Beaufort Sea during August-October 2022, making intensive in situ and remote sensing observations within ~200km of the sea ice edge. Images from the radar were digitized and saved every 10-60 seconds on days that the R/V Wolstad was in or around ice. Ice concentration rankings ranging from 0 to 3 determined by VGG19 Machine Learning Model. L2 summary data are available in NetCDF format.
Resources
| Name | Format | Description | Link |
|---|---|---|---|
| View documentation related to this dataset | HTML | Field Campaign and Instrument Overview | Open resource |
| Download this dataset through a directory map | HTML | Browse and download granules over HTTPS using the virtual directories | Open resource |
| Download this dataset through Earthdata Search | HTML | Browse granule search results in Earthdata Search | Open resource |
| View this dataset's product usage | HTML | SASSIE Data Visualization Github | Open resource |
| View this dataset's data citation policy | HTML | Data Use and Citation Policy | Open resource |
| Get a related visualization | JPG | Thumbnail | Open resource |
| View documentation related to this dataset | SASSIE Overview Document | Open resource | |
| View documentation related to this dataset | HTML | SASSIE Project Website | Open resource |
| View this dataset's product usage | HTML | SASSIE Data For You Storymap | Open resource |
| View this dataset's product usage | HTML | SASSIE Code For You Storymap | Open resource |
| Google Scholar search results | HTML | Search results for publications that cite this dataset by its DOI. | Open resource |