LASSO Data Bundles

LASSO data bundles are unified packages for evaluating atmospheric large-eddy simulation (LES) models. The Alpha 2 release builds upon Alpha 1, adding diagnostics and focusing on cases from spring-summer 2016. Each bundle contains LES input and output, ARM observations, evaluation diagnostics, and model skill scores, created by William I. Gustafson.

Use Cases

• Validate cloud simulation models based on co-registered LES output and ARM observations.
• Calculate model skill scores for cloud and environmental variables based on provided diagnostics.
• Analyze the relationship between model forcing data and cloud field outputs based on bundled input and output data.
• Study specific atmospheric cases from spring-summer 2016 based on the temporal focus of the Alpha 2 release.

Strengths

• Provides a unified package bundling model input, output, observations, and diagnostics, which likely simplifies workflow.
• Focuses on a specific temporal period (spring-summer 2016), offering a coherent case study set.
• Includes co-registered model output and observations on the same grid, which facilitates direct comparison.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count and total data size are unknown, which may limit suitability assessment.
• Last update date is unknown; freshness unverified.

Provenance

Source

William I. Gustafson via paperswithcode.

Collection Method

Likely generated from large-eddy simulation runs and co-located ARM observational data.

Time Range

Spring-summer 2016.

Freshness

Last updated date is unknown.

Geography

Geography is unknown; likely corresponds to ARM observational site locations.