Using Saildrones to Validate Arctic Sea-Surface Salinity from the SMAP satellite and from Ocean Models ...

• Main Author: Vazquez, Jorge
• Format: Dataset
• Language: unknown
• Published: Root 2023
• Subjects: Arctic; Arctic Ocean; Sea ice; Yukon river; Yukon
• Online Access: https://dx.doi.org/10.48577/jpl.v9yet5; https://dataverse.jpl.nasa.gov/citation?persistentId=doi:10.48577/jpl.V9YET5

Abstract: The Arctic Ocean is one of the most important and challenging regions to observe. It is the region experiencing the largest changes from climate warming, and at the same time it is one of the most difficult to sample because of sea ice and extreme cold temperatures. Two NASA-sponsored deployments of the Saildrone vehicle provided a unique opportunity for validating sea-surface salinity (SSS) derived from three separate products that use data from the Soil Moisture Active Passive (SMAP) satellite. To examine possible issues with resolving mesoscale-to-submesoscale variability, comparisons were also made with two versions of the Estimating the Circulation and Climate of the Ocean (ECCO) model. Results indicate that the three SMAP products resolve the runoff signal associated with the Yukon River, with high correlation between SMAP products and Saildrone SSS. Spectral slopes, overall, replicate the -2.0 slopes associated with mesoscale-submesoscale variability. Statistically significant spatial ...