Gridded regression coefficients derived from satellite altimeter data for the Antarctic Ice Sheet. The data result from a multiple linear regression analysis of ice surface elevation time series, including parameters for the Southern Annular Mode (SAM) and El Niño/Southern Oscillation (ENSO). Four grids are provided, derived from analyses with different spatial smoothing filters and firn densification model corrections.
Use Cases
- Model ice sheet elevation changes based on regression coefficients for SAM and ENSO.
- Compare climate signal impacts using grids derived from different spatial smoothing filters.
- Analyze the effect of firn densification processes on derived climate indices.
- Study the spatial distribution of Antarctic Ice Sheet sensitivity to major climate modes.
Strengths
- Analysis spans 18 years from 2002 to 2020.
- Provides four distinct grids from analyses with 10 km and 200 km smoothing filters.
- Includes derived parameters and statistical values from the regression.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment.
- Data may reflect geographic bias inherent to the Antarctic Ice Sheet coverage.
Provenance
- Source
- Australian Ocean Data Network
- Collection Method
- Multiple linear regression performed on gridded satellite altimetry time series.
- Time Range
- 2002-2020
- Freshness
- Last updated 2026-04-29 09:54:52.261173; freshness should be verified.
- Geography
- Antarctic Ice Sheet