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TAID: Tidally Adjusted Intertidal Digital Elevation Models
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Lawrence, Peter TAID: Tidally Adjusted Intertidal Digital Elevation Models.
This catalogue provides a comprehensive collection of raster (.tif) files delivering 1 meter resolution Digital Terrain Models (DTMs), tiled in 5 km grid cells within the British National Grid. These DTMs are a product of Version 1.0 of the Tidally Adjusted Intertidal Digital elevation models (TAID). These are developed to support a detailed, tidally referenced investigations of near shore processes and ecological phenome.
A key feature of these models is tidal adjustment—elevation values in each raster are precisely referenced to a specific tidal datum. This adjustment accounts for spatial variations in tidal levels around the British coast and is critical for a wide range of coastal applications, including:
Coastal Flood Modelling – Accurate simulation of inundation scenarios.
Sea-Level Rise Impact Assessment – Improved precision in predicting future coastal changes.
Nearshore Hydrological Processes – Enhanced understanding of coastal water dynamics.
Species Distribution and Habitat Analysis – Informing ecological assessments in intertidal zones.
These high-resolution DTMs could serve as a vital baseline for researchers, environmental managers, and planners engaged in UK coastal resilience, conservation, and sustainable development.
Important Notes:
These datasets are linked to the TAID v1.0 model release. The underlying methodology includes numerous tuning and hyper-parameters, and future model versions are expected as techniques and data sources evolve.
This dataset is and should not be used for navigation.
Users must consult the associated technical documentation, peer-reviewed manuscript and/or the corresponding author prior to application.
While available under a Creative Commons licence, Keele University and the model’s author retain the right to version control, testing, and contributed development of this resource. Keele and the author take no responsibility for the use of this data without proper consultation and licensing.