TAID: Tidally Adjusted Intertidal Digital Elevation Models

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full_archive archive 7 disk0/00/00/01/18 2025-06-24 13:39:26 2026-09-01 10:11:33 2025-06-24 13:39:26 data_collection show Lawrence Peter p.j.lawrence@keele.ac.uk 0000-0002-9809-0221 TAID: Tidally Adjusted Intertidal Digital Elevation Models QH301 sch_lif RTH; DTM; TAID; Coastal; Ecology; Flood; Management All data is publicly accessible and numeric transformations were completed solely be the author and curator. This catalogue provides high-resolution 1-meter Digital Terrain Models (DTMs) delivered as raster (.tif) files, tiled in 5 km grid cells within the British National Grid (BNG). It also contains test data and R scripts in order to replicate the process on a standard PC. The datasets are generated from Version 1.0 of the Tidally Adjusted Intertidal Elevation Models (TAID). A key feature of these models is 20m resolution tidal adjustment interpolation and subsequent calculation of an ecological tidal elevation range as a new 20m resolution raster. By accounting for spatial variations in tidal levels around the British coast, these models provide a foundation for tidally referenced investigations into nearshore processes and ecological phenomena. Key Applications Coastal Flood Modelling: Localised simulations of tidal inundation scenarios. Sea-Level Rise Assessment: Improved spatial unity when predicting future coastal changes and vulnerability. Nearshore Hydrology: Enhanced understanding of complex coastal water dynamics.  Habitat & Species Analysis: A fine resolution raster to form a baseline data to inform intertidal ecological assessments and distribution mapping. It is the hope of the author this method serves as call for breaking down barriers between isolated specialist groups. Coastal dynamics require flexibility from hydrological modellers and terrestrial surveyors due to its inherent commutations in sensing and temporal change. Version 1 thus provides a baseline for researchers, environmental managers, and planners working in UK coastal resilience, conservation, and sustainable development. In an ideal world it will drive a period of collaboration between all fields and those of high-performance computing. Important Usage & Licensing Notes Non-Navigational Use Only: This dataset must not be used for navigation.  Model Context: These data are linked to the TAID v1.0 release. The underlying methodology relies on specific tuning parameters and hyperparameters; future releases will evolve as techniques and data sources advance. Indeed, the authors suspect similar if not superior may well exist in no open-source siloed locations.  Mandatory Consultation: Users must consult the technical documentation (peer-reviewed manuscript), or the corresponding author prior to applying the data. IP & Rights: Shared under a Creative Commons licence. Keele University and the author retain exclusive rights to version control, testing, and contributed development. Disclaimer: Neither Keele University nor the author assumes responsibility for misuse or application without proper consultation. 2025 10.21252/r43e-yg83 Data Lawrence, Peter research.openaccess@keele.ac.uk Lead Lawrence Peter p.j.lawrence@keele.ac.uk Data is numerically generated from publicly accessible national LiDAR data. The process to generate said files requires the use of R programming language and environment. It is possible to replicate this in ArcPro and other software packages. Please do reach out during the development of this tool. 2025-09-05 2036-09-05