Global daily snow cover fraction and cloud fraction data over land, projected onto a 180x360 degree geographic grid with 0.05-degree resolution. The dataset is produced by the MULSS instrument and includes quality assessment values for each measurement. The originating organization is SCIOPS.
Use Cases
- Model snow albedo feedback by analyzing daily snow_cover_fraction values across the global grid.
- Assess observational uncertainty in climate models using the quality_assessment fields for snow and cloud data.
- Track seasonal snowpack dynamics by examining time-series of snow_cover_fraction at specific latitude/longitude grid points.
- Study cloud-land interactions by correlating cloud_fraction data with snow_cover_fraction across different regions.
Strengths
- Global spatial coverage with a 180x360 degree grid.
- High spatial resolution of 0.05 degrees per grid point.
Limitations
- Unknown temporal coverage and dataset size limits trend analysis.
- Data is limited to land areas, excluding ocean and sea ice regions.
Provenance
- Source
- NASA Earthdata (platform), SCIOPS (organization).
- Collection Method
- Remote sensing data from the MULSS instrument, processed into daily fraction products.
- Time Range
- null
- Freshness
- null
- Geography
- Global land coverage.