Lagrangian Snow Distributions for Arctic Sea-Ice Applications

Lagrangian Snow Distributions for Sea-Ice Applications, Version 1 provides daily estimates of snow depth and density on Arctic Ocean sea ice over a 41-year period. The dataset was produced by the NSIDCV0 organization using a Lagrangian snow-evolution model forced with NASA MERRA-2 and ECMWF ERA5 reanalysis data. It is available on multiple platforms, including NASA EarthData and Data.gov.

Use Cases

• Analyzing trends in snow depth on Arctic sea ice to understand changes in surface albedo and insulation.
• Validating or forcing sea-ice models with daily snow density estimates for improved thermodynamic simulations.
• Investigating the interannual variability of snow-on-sea-ice properties over a multi-decadal period.
• Correlating snow distribution data with atmospheric reanalysis variables to study forcing mechanisms.

Strengths

• Provides a 41-year time series, offering a long-term perspective on snow properties.
• Generated using a sophisticated Lagrangian snow-evolution model forced with major reanalysis products (MERRA-2, ERA5).
• Cross-platform presence on NASA EarthData and Data.gov indicates established importance and accessibility.

Limitations

• Column names and specific row/record counts are not provided by any source, limiting detailed structural understanding.
• Sources conflict on the last updated date, with one showing 2026-03-13 and another showing 2021-07-31.
• The specific license terms are unclear, only noted as 'other-license-specified'.

Provenance

Source

NSIDCV0

Collection Method

Lagrangian snow-evolution model forced with NASA MERRA-2 and ECMWF ERA5 reanalysis.

Time Range

41 years

Freshness

2026-03-13 01:07:41.181039

Geography

Arctic Ocean