GEOMAT: Modelling of Continental Shelf Sediment Mobility
Updated 24d ago
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Description
GEOMAT is a geological-oceanographic computer modelling project from a collaborative team including AGSO, the University of Tasmania, the Australian Bureau of Meteorology, and a Danish geodetic division. It uses tidal and swell-wave models to predict sediment mobilisation on the Australian continental shelf, defining six regions of relative wave and tidal energy. The work provides a process-based tool for understanding shelf sedimentary systems and has potential applications in marine planning and habitat mapping.
Use Cases
Predicting sediment mobility patterns based on modelled wave and tidal energy thresholds.
Regionalising the continental shelf into zones dominated by waves, tides, or mixed processes.
Informing marine spatial planning and habitat mapping by explaining surficial sediment distributions.
Strengths
Model outputs include specific, quantified predictions, such as swell waves mobilizing fine sand over 63.5% of the shelf.
Based on a multi-year, collaborative project involving several authoritative institutions.
Defines a clear, six-category regionalisation of shelf energy processes.
Limitations
Critical metadata is missing: no column names, row counts, or specific data formats are provided.
The 'last updated' dates (2026) are inconsistent and appear to be future dates, casting doubt on metadata accuracy.
The dataset's underlying files (HTML/PDF) suggest it may be a report rather than a structured, machine-readable dataset.
Provenance
Source
Collaborative project by AGSO, University of Tasmania, Australian Bureau of Meteorology, and Kort & Matrikelstyrelsen (Denmark).
Collection Method
Computer modelling of tidal and surface ocean swell-wave processes.
Time Range
Model application period cited is March 1997 to February 1998.
Freshness
Last updated dates are inconsistent and implausible (2026-06-27, 2026-05-05).
Geography
Australian continental shelf, with specific mention of the Great Australian Bight.
The dataset appears primarily as a report (HTML/PDF). License information is not provided.