Geoscience Australia Data presents a novel ensemble tide modelling approach for optimizing coastal tide predictions. The method combines sea levels from satellite altimetry with optical remote sensing data, specifically the Normalized Difference Water Index (NDWI), to evaluate and rank 10 leading global tide models. The approach was validated against independent tide gauge observations across Australia's diverse tidal environments and is based on freely available satellite data and open-source tools.
Use Cases
- Select optimal tide models for coastal regions based on ensemble performance ranking.
- Fill gaps in tide gauge observations using satellite-derived sea level and NDWI data.
- Improve hind- and future-casting sea-level predictions for coastal workflows.
- Assess tide model performance at the coastline using combined altimetry and optical remote sensing.
Strengths
- Method validated at continental scale across Australia's diverse tidal environments.
- Evaluates and ranks 10 leading global tide models.
- Based on freely available optical and altimetry satellite data and open-source tools.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment.
Provenance
- Source
- Geoscience Australia Data
- Collection Method
- Combines satellite altimetry sea levels with an optical remote sensing approach using NDWI time-series correlations.
- Freshness
- Last updated 2026-05-14 05:03:32.619855; freshness should be verified.
- Geography
- Australia's coastal regions