The project and portal development started in June 2009. Operational data discovery services and a viewing service for bathymetric data products (DTM layers) are provided to users since June 2011. A further extension of the EMODnet DTM to all European seas has been launched early February 2015. Thereby the viewing service have also been upgraded in a number of ways. The discovery services are further populated continuously, while early September 2015 and early October 2016 further improved versions of the EMODnet Bathymetry have been released, every time including more and more recent surveys data. Also a dedicated layer is included with a number of high multi resolution DTMs for selected coastal sites in Europe, combining data originating from multibeam surveys, aerial images and LIDAR surveys.
A new release of the EMODnet DTM was published mid September 2018. It is based upon an again increased number of bathymetric data sets. These no longer only concern data collected by plummets, single beam, multibeam, and LIDAR instruments, but also Satellite Derived Bathymetry data products for coastal stretches, in particular in Greece and Spain. The grid resolution of the new EMODnet DTM has been increased to 1/16 * 1/16 arc minutes (circa 115 * 115 meters) and the geographical coverage has been expanded to include European arctic waters and Barentsz Sea. The functionality of the Bathymetry Viewing and Download service has been upgraded too. Powerfull 3D visualization has been added to the viewing service, which requires no plug-ins. The download service allows to download DTM tiles from the old 2016 version and the new 2018 version. Downloading is free as always, while a lightweight registration has been added allowing to learn better our users and their applications. This will support the planning of future upgrades.
More upgrades are underway such as adding best estimate digital coastlines for Europe for a range of tidal levels and publishing the new DTM tiles also with MSL reference level next to the current LAT vertical reference. A Quality Index map layer will be added, derived from the source references layer, allowing a user to see at a glance which areas of the DTM have a high quality index and which a relatively low because of lacking high quality data sets.