Homogenized Seasonal Snow Depth Series and Trend Data

2022 data from ENVIDAT supporting an impact assessment of homogenized snow series. It contains seasonal mean snow depth (HSavg) outputs from three homogenization methods: Climatol, HOMER, and interpQM. An additional data frame includes trend statistics like p-value and altitude for each station and method.

Use Cases

• Compare homogenized HSavg series from Climatol, HOMER, and interpQM methods to assess methodological impact.
• Analyze trends in HSavg using the provided station, method, value, and pvalue columns.
• Investigate the relationship between snow depth trends and station altitude using the altitude feature.
• Validate homogenization algorithms by comparing their output HSavg series against each other.

Strengths

• Data supports a published research article on snow depth trend assessment.
• Includes outputs from three established homogenization methods for direct comparison.

Limitations

• Unknown sample size and geographic scope limit reproducibility.
• Data is from 2022 and may not reflect recent conditions.

Provenance

Source

ENVIDAT via NASA Earthdata.

Collection Method

Outputs from Climatol, HOMER, and interpQM homogenization methods applied to snow depth series.

Time Range

Seasonal, specific years not provided.

Freshness

Last updated 2022-01-01.

Geography

Station-based, specific locations not provided.