Daily Snow Depth and SWE from GPS Signal-to-Noise Ratios

GPS signal-to-noise ratios are used to estimate daily snow depth and snow-water equivalent, a method distinct from traditional ground-based sensors. The dataset calculates snow depth by measuring changes in the effective multipath reflector height relative to a snow-free surface. Snow-water equivalent is derived by combining these GPS snow depths with density observations from SNOTEL stations or, where unavailable, estimated using climate classes.

Use Cases

• Monitoring seasonal snowpack accumulation and melt based on daily GPS-derived snow depth.
• Estimating regional water availability from snow-water equivalent (SWE) values.
• Validating or supplementing snow data from SNOTEL stations using the GPS SNR method.
• Analyzing long-term snow trends using the time-series nature of the daily data.

Strengths

• Data is derived from an innovative method using GPS signal-to-noise ratios (SNR) for snow measurement.
• Estimates two key cryospheric variables: snow depth and snow-water equivalent (SWE).
• Methodology incorporates ground-truth data from SNOTEL stations where available to improve density estimates.

Limitations

• Key metadata such as column names, row counts, and spatial coverage are not provided in the available sources.
• There is a conflict in the 'last updated' metadata, with dates ranging from 2017-06-30 to 2026-04-10.
• The license is ambiguously listed as 'other-license-specified' without explicit terms.

Provenance

Source

NSIDCV0

Collection Method

Snow depth is determined by calculating the relative change of the effective multipath reflector height from GPS SNR. SWE is determined using GPS snow depths and density from SNOTEL stations or estimated using climate classes.

Freshness

2026-04-10 04:04:19.473159