For the purpose of studying the impact of the 12 August 2021 South Sandwich tsunami in several locations around the world, a high-resolution digital elevation model (DEM) of King Edward Cove, South Georgia Island (UK) has been built using three different types of data. They include: - The Global dataset 15 arcsec resolution GEBCO (2021) - The Global dataset 1 arcsec resolution SRTM (2013) - Digitized and georeferenced British Admiralty Nautical Chart 3587 – Harbours and Anchorages in South Georgia (Edition 2003) – Plan B: King Edward Cove. The data showing the highest resolution has been kept in priority. The compilation of data has been interpolated to a regular spatial resolution of 0.00009° (~6 m) between 36.5162736855°W and 36.4633943045801°W and 54.3061332112°S and 54.2693514649479°S using the kriging method. For more information about this method, see for example Oliver and Webster (1990). DOI: https://doi.org/10.21420/0MFZ-J006 Cite data as: Roger, J. (2022). Digital Elevation Model of King Edward Cove, South Georgia Island (UK) [Data set]. GNS Science. https://doi.org/10.21420/0MFZ-J006

For the purpose of studying the impact of the 5 March 2021 Kermadec tsunami in Tutukaka Harbor, Whangarei, New Zealand, and its neighbourhood, a high-resolution digital elevation model (DEM) of Tutukaka Harbor has been built using two different types of data (Roger, 2022). These are: - Digitized and georeferenced British Admiralty Nautical Chart (Cape Brett to Paepae-o-Tu / Bream Tail, 1:90,000 – Id: NZ300521 and Tutukaka Harbour, 1:12,000 - Id: NZ552121) - The New Zealand 8 m DEM (LINZ, 2012) for the land part The compilation of data has been interpolated to a regular spatial resolution of 0.00009° (~10m) between 174.5233364°W and 174.5797705°W and -35.6252705°S and -35.5979928°S using the krigging method. For more information about this method, see for example Oliver and Webster (1990). DOI: https://doi.org/10.21420/AQBF-Q453 Cite when using the DEMs: Roger, J. (2022). Digital Elevation Model of Tutukaka Harbor and neighbourhood, Whangarei District, New Zealand [Data set]. GNS Science. https://doi.org/10.21420/AQBF-Q453