NSIDC_CPRD synthesized airborne and satellite data to create a mask of the likely basal thermal state across the entire Greenland Ice Sheet. This product details the inference methods used to determine where the ice sheet base is likely frozen or thawed. The dataset was last updated in May 2017.
Use Cases
- Classify basal thermal state (frozen/thawed) across the ice sheet using the provided synthesis mask.
- Validate ice flow models by comparing predicted basal conditions against the inferred thermal state data.
- Analyze spatial patterns of basal melting by correlating the thermal state mask with bedrock topography and ice thickness data.
- Study subglacial hydrology by identifying regions of likely thawed basal ice that can channel meltwater.
Strengths
- Provides a synthesized, pan-Greenland mask of basal thermal state, integrating multiple data sources.
- Inference methods are documented, detailing how airborne and satellite data were combined.
Limitations
- Data recency is limited, with a last update in 2017, potentially missing recent changes.
- The 'likely' classification indicates inherent uncertainty in the inferred thermal state.
- Specific row counts, column details, and spatial resolution are not provided in the input.
Provenance
- Source
- NSIDC_CPRD, utilizing existing NASA airborne and satellite data sets.
- Collection Method
- Inferred from remote sensing data using recent published methods, resulting in a synthesis mask.
- Time Range
- null
- Freshness
- Last updated 2017-05-20; update frequency is null.
- Geography
- Greenland Ice Sheet