Leosphere Windcube Lidar Data from Humboldt Buoy

Filtered and averaged lidar data from a buoy-mounted Leosphere Windcube 866 instrument, standardized into NetCDF format. The dataset is provided by Raghavendra Krishnamurthy of the Pacific Northwest National Laboratory. It includes parameters from various instruments on the buoy, with details on measurement frequency available in an attached data dictionary.

Use Cases

• Validate and calibrate numerical weather prediction models based on buoy-mounted lidar measurements.
• Analyze wind profiles and turbulence for offshore wind energy site assessment based on the lidar data.
• Study atmospheric boundary layer dynamics over coastal regions using the multi-instrument data streams.
• Develop data standardization pipelines for heterogeneous oceanographic sensor data based on the NetCDF conversion process.

Strengths

• Data is filtered and averaged, which may reduce noise.
• Format is standardized to NetCDF, a common format for scientific data.
• Includes a detailed data dictionary documenting instruments, parameters, and collection frequency.

Limitations

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

Provenance

Source

Pacific Northwest National Laboratory

Collection Method

Collected from a Leosphere Windcube 866 lidar instrument mounted on a buoy.

Geography

Humboldt, California, USA