Atmospheric Optical Turbulence Forecasts for Satellite Laser Links

A DSBGT model achieves a mean absolute error of less than 0.24 cm for 30-minute forecasts of Fried parameter fields. This 2.1 MB dataset contains spatiotemporal nowcasts for atmospheric optical turbulence, derived to support satellite-to-ground laser communication network scheduling. The data was authored by Qingfang Jiang and last updated on 2026-05-02.

Use Cases

• Proactive link scheduling for satellite networks based on predicted Fried parameter fields.
• Dynamic resource optimization for laser communication windows based on atmospheric turbulence forecasts.
• Benchmarking new spatiotemporal forecasting models against the reported 0.24 cm MAE performance.
• Analyzing seasonal patterns in atmospheric optical turbulence for satellite communication planning.

Strengths

• Model performance is quantified with a mean absolute error of less than 0.24 cm for 30-minute forecasts.
• Data covers forecasts across all four seasons, suggesting temporal comprehensiveness.
• The dataset is openly available under a CC-BY-4.0 license.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The description is technical but does not specify the exact geographic coverage of the forecasts.

Provenance

Source

figshare, author Qingfang Jiang

Collection Method

Derived high-resolution Fried parameter fields to capture transient atmospheric states.

Freshness

Last updated 2026-05-02 04:40:19; freshness should be verified.