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‚ig. 4: EMODnet bathvymetry prior to the latest release of EMODnet bathymetry (left) and the new dense bathvmetric data 
nput from EOMAP's satellite-derived bathymetry (right) which serves as input for the latest EMODnet bathymetry release. 
Ihe image shows Laesg located in the Kattegat between Denmark and Sweden 
Those have been earlier described when speak 
'ng about metadata. Concerning the bathymetric 
data, agreement has been reached amongst the 
Jata providers whose sampled data sets respect: 
» the same horizontal and vertical references: 
horizontal coordinates are expressed as latitude, 
longitude, based on the WGS84 coordinate sys 
tem (EPSG:4326), while for the vertical compo- 
nent, data are meant to be provided in metres 
relative to the lowest astronomical tide level (or 
a surface locally assimilated to it); 
: sampling strategy: each grid cell is given at its 
centre, known as the grid node. Grid nodes are 
positioned in a unique way from the Greenwic‘ 
meridian (0°) in longitude and the equator (0°) 
in latitude respectively as a multiple of the grid 
zell size plus half the cell size; 
‚the mean value of all soundings reported 
within the grid node, along with other attrib- 
Jtes such as the minimum and maximum value, 
the number of soundings and the standard 
deviation are considered to provide enough 
information needed to estimate the local depth 
considering the targeted resolution. 
ın order to help all the contributors in their tasks, 
zommon tools are provided to help them produc 
ng metadata information (Ifremer’s MIKADO and 
znds And Bends software — www.seadatanet.org/ 
Software) and for the preparation and manipula- 
tion of the sampled data sets (Ifremer's GLOBE 
software, Poncelet et al. 2020). 
The German perspective 
EMODnet-Bathymetry portal is formed by a Eu- 
ropean consortium of which three entities, BSH, 
-OMAP and MARUM are based in Germany. 
EOMAP contributes to EMODnet bathymetry 
to fill shallow water bathymetric data gaps in ar 
2as where no survey data exist or those are not 
accessible to the project. EOMAP applies satellite- 
derived bathymetry technologies for that pur- 
poses (Hartmann et al. 2017; Hartmann and Heege 
2020) and provided a total of 14.000 km? of dense 
AN 
117 — 10/2020 
shallow water bathymetric data, covering the Ae 
gean Sea, Mediterranean coastal waters of Spain, 
Denmark, southern Italy, Croatia, Cyprus and parts 
of Libya. The provision of the satellite-derived ba 
thymetry grid for the shallow water significantly 
ncreased the level of detail of coastal European 
naters (Fig, 4) and therefore is an important con 
:ribution for coastal and hydrodynamic modelling 
applications. 
BSH contributes 119 additional data sets for the 
:MODnet 2020 project phase (currently under 
going), covering an area of ca. 3,100 km? in the 
\Vorth Sea and the Baltic Sea, including a new 
ıigh-resolution DTM of the Jade area covering 
ca. 1,000 km* (Fig. 5). BSH is one of the first mem- 
ers of the EMODnet project and provided overall 
‚132 data sets, including ten HR-DTMs since the 
Arst data collection in 2009. From 2014 to 2016 
*he BSH was basin coordinator for the Baltic Sea 
since then transferred to the Swedish Maritime 
Administration). Since 2016, BSH has the role of the 
3asin Coordinator for the Greater North Sea, an 
area reaching to the Shetland Islands in the North 
and the Enalish Channel in the West. The task is to 
‘ig. 5: High-resolution DTM »1850_North Sea - German Approaches DTMe 
available at very high spatial resolution