Air Parcels from LES Simulations of a Deep Convective Cloud During DC3 Campaign

500 files describe air parcels retrieved from a large-eddy simulation of a deep convective cloud event observed on May 29, 2012, during the DC3 field campaign. The dataset, created by Roman Bardakov of Stockholm University, provides values for coordinates, velocity components, thermodynamic variables, and turbulence metrics for each parcel at every simulation time step.

Use Cases

• Validate large-eddy simulation outputs against field campaign observations based on the detailed parcel trajectories.
• Analyze the microphysical evolution of convective clouds based on water content and precipitation density variables.
• Study turbulence and mixing processes in deep convection based on resolved and subgrid-scale turbulent kinetic energy fields.
• Investigate parcel buoyancy and vertical velocity relationships to understand convective updraft dynamics.

Strengths

• Contains 500 individual files, each representing a detailed parcel trajectory from a high-resolution simulation.
• Provides a comprehensive set of 16 physical variables per parcel per time step, including dynamics, thermodynamics, and microphysics.
• Simulates a specific, well-observed real-world event (May 29, 2012, DC3 campaign), enabling observation-model comparison.

Limitations

• Row count and total data volume are unknown, which may limit suitability assessment for large-scale analysis.
• Column-level documentation is absent; field semantics and units must be inferred from the description or source code.
• Last update date is unknown; freshness unverified.

Provenance

Source

Roman Bardakov, Stockholm University

Collection Method

Extracted from large-eddy simulation (LES) outputs of a specific convective cloud event.

Time Range

Simulation of an event on May 29, 2012.

Geography

Location of the DC3 field campaign observation (specific region not stated).