eReefs GBR4: Hydrodynamic Model with Data Assimilation for the Great Barrier Reef

The Great Barrier Reef is covered by a 4 km resolution hydrodynamic model that assimilates temperature data from moorings, gliders, and satellite sea surface temperature. This reanalysis product uses an Ensemble Optimal Interpolation system with a 2-day cycle and a 6-hour assimilation window. The model's mean forecast error ranges from 0.4°C in the dry season to 0.7°C in the wet season.

Use Cases

• Validate and calibrate other ocean models based on the assimilated temperature data from moorings, gliders, and satellites.
• Study seasonal temperature variability and forecast error based on the described dry and wet season error ranges.
• Analyze hydrodynamic reanalysis outputs for the Great Barrier Reef region based on the 4 km resolution grid.
• Investigate data assimilation performance for ocean models based on the described EnOI system with a 2-day cycle.

Strengths

• Model assimilates multiple data sources including moorings, gliders, and satellite SST.
• Provides a quantified mean forecast error range of 0.4°C to 0.7°C depending on season.
• Covers the Great Barrier Reef region with a 4 km resolution grid.

Limitations

• The dataset was decommissioned in May 2022 and is no longer available via the original server.
• Description metadata is limited; actual data quality requires manual inspection after download.
• Column-level documentation is absent; field semantics must be inferred after download.

Provenance

Source

eReefs team, likely involving AIMS, GBROOS/IMOS, CSIRO, and IMOS.

Collection Method

Hydrodynamic model output with data assimilation using an Ensemble Optimal Interpolation (EnOI) system.

Freshness

Last updated 2026-06-17 01:27:44.166920; freshness should be verified.

Geography

Great Barrier Reef region.