Datasets for JGR_2026: Observational Data for Ocean Model Validation

Datasets for JGR_2026 is a collection of observational data used for validating oceanographic models. The dataset, authored by Jongwi Chang and shared under a CC-BY-4.0 license, includes measurements for tide, current, significant wave height, and suspended sediment concentration from 2012 and 2023. It is a 167.8 MB archive last updated in May 2026.

Use Cases

• Validate tide model predictions based on 'Pres' and 'depth.dat' variables.
• Validate current model predictions based on 'u_raw', 'v_raw', 'avgU.dat', and 'avgV.dat' variables.
• Validate significant wave height model predictions based on buoy data.
• Validate suspended sediment concentration (SSC) model predictions based on SSC output files.

Strengths

• Contains multi-year validation data from 2012 and 2023, allowing for temporal comparisons.
• Covers multiple physical oceanographic variables: tides, currents, wave height, and sediment concentration.
• Data is structured for direct comparison with model outputs, as indicated by references to specific validation figures.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for large-scale ML tasks.
• The description metadata is limited; actual data quality and completeness require manual inspection.

Provenance

Source

Jongwi Chang via figshare.

Collection Method

Observational data collection, likely from instruments like buoys and sensors.

Time Range

2012 and 2023.

Freshness

Last updated 2026-05-04 17:22:56.

Geography

Likely coastal sites (e.g., AquaSide, FQ), but specific locations are not detailed.