A global monthly sea surface salinity dataset on a 0.25-degree spatial grid, produced by the International Pacific Research Center and Remote Sensing Systems. It combines measurements from three satellite missions using optimal interpolation. The data is a level 4 product representing monthly means.
Use Cases
- Analyzing spatial patterns of sea surface salinity using the 0.25-degree grid for climate model validation.
- Investigating temporal salinity trends from the monthly time series data to study ocean freshening or salinification.
- Assimilating the optimally interpolated salinity fields into ocean forecasting models to improve initial conditions.
- Comparing salinity estimates derived from the three different satellite missions (Aquarius, SMAP, SMOS) for sensor inter-calibration.
- Studying the decorrelation of salinity anomalies using the product's 7-day decorrelation time scale parameter.
Strengths
- Data fusion from three distinct satellite missions (Aquarius, SMAP, SMOS) enhances spatial and temporal coverage.
- High spatial resolution of 0.25 degrees provides detailed global coverage for oceanographic analysis.
- Application of optimal interpolation with a defined 7-day decorrelation scale provides a consistent, gridded product.
Limitations
- Specific row count, file size, and exact temporal coverage are not provided in the input.
- As a level 4 gridded product, it represents model-derived estimates, not direct satellite observations.
- The input does not specify the dataset's update frequency or most recent data point, limiting assessment of freshness.
Provenance
- Source
- International Pacific Research Center (IPRC) of the University of Hawaii at Manoa and Remote Sensing Systems (RSS).
- Collection Method
- Optimal interpolation of satellite measurements from Aquarius/SAC-D, SMAP, and SMOS missions.
- Time Range
- null
- Freshness
- null
- Geography
- Global coverage on a 0.25-degree grid.