Snow cover fraction and cloud fraction data projected onto a global 180x360 degree longitude/latitude grid at 0.05-degree resolution. Each grid point contains snow cover fraction, cloud fraction, and corresponding quality assessment values. The product is generated by SCIOPS from the FY-3A satellite's MULSS instrument.
Use Cases
- Analyze spatial and temporal trends in snow_cover_fraction across global land areas.
- Validate climate model outputs by comparing simulated cloud_fraction against observed satellite data.
- Correlate snow_cover_fraction with temperature records to study climate change impacts on seasonal snowpack.
- Mask cloud-contaminated pixels in other satellite analyses using the cloud_fraction and its quality_assessment fields.
- Monitor seasonal snow melt progression by tracking changes in the ten-day aggregated snow_cover_fraction.
Strengths
- Global spatial coverage across all land areas.
- 0.05-degree resolution provides moderate detail for continental-scale analysis.
- Includes quality_assessment fields for both snow and cloud fraction data.
Limitations
- Specific temporal coverage, update frequency, and total data volume are unknown.
- Ten-day aggregation may miss shorter-term snow or cloud events.
- Resolution may be insufficient for regional or watershed-scale studies.
Provenance
- Source
- SCIOPS, likely via NASA Earthdata.
- Collection Method
- Derived from the MULSS instrument on the FY-3A satellite.
- Time Range
- null
- Freshness
- null
- Geography
- Global land coverage.