Monthly snow cover fraction and cloud cover fraction data over land, derived from the FY-3A satellite's MULSS instrument. The data is projected onto a global 180x360 degree geographic grid with a 0.05-degree resolution. The product is generated by the SCIOPS organization.
Use Cases
- Analyze seasonal trends in snow_cover_fraction across different latitudes.
- Validate climate model outputs by comparing simulated cloud_fraction with observed values.
- Correlate snow_cover_fraction with temperature data from other sources to study melt dynamics.
- Assess data reliability by filtering observations using the quality_assessment fields for snow and cloud.
- Map global snow extent variability using the gridded snow_cover_fraction values.
Strengths
- Global spatial coverage with a 0.05-degree resolution.
- Contains separate quality_assessment fields for both snow and cloud fraction data.
Limitations
- Unknown total row count and temporal coverage limits analysis.
- Resolution may be too coarse for regional or watershed-scale studies.
Provenance
- Source
- NASA Earthdata platform, from the FY-3A satellite's MULSS instrument.
- Collection Method
- Derived from remote sensing observations and projected onto a standardized geographic grid.
- Time Range
- null
- Freshness
- Monthly update frequency.
- Geography
- Global land coverage.