Introduction

Bathymetry is the ocean's depth, often relative to mean sea level, and for every numerical study an important aspect. However, bathymetric data is not often easy to acquire and combine due to differences in vertical and horizontal coordinate systems. The 'Bathymetry' toolbox allows for easy importing, exporting and merging of bathymetric data from a number of on-line and open source datasets. The bathymetric data is available with different resolutions according to different zoom levels (so-called tiles) indicated in brackets in the column resolution.

Usage of the toolbox for exporting

The 'Export' tab in the Working Space allows the user to export data within a predefined Polygon. A Polygon can be made by using the key “Draw Polygon”, which enables the user to draw a polygon with the mouse (left click to draw the polygon, right click or double click to close it). An example can be found in the Figure below.

  • “Delete Polygon” is used to delete the polygon.
  • “Load Polygon” allows loading an existing polygon file in ASCII format (*.pol).
  • “Save Polygon” allows saving the polygon file in ASCII format (*.pol).

 

Figure: Exporting bathymetric datasets is easily to carry out with Delft Dashboard as can be seen in this example where we export GEBCO '08 data of Ponta Delgada, Portugal.

Usage of the toolbox for importing

The 'Import' tab in the Working Space allows the user to import data. Dashboard supports various formats: ASCII grid, MAT-files, xyz-grid and netCDF and multiple coordinates systems. This can, for example, be a powerful tool when a LIDAR data set is combined with a data set like the Coastal Relief Model. An example can be found in the Figure below. Importing involves 3 steps:
  1. Select file. By selecting the file, Delft Dashboard determines how many cells are needed.
    1. If you use Matlab or NetCDF as input: make sure the bathymetry information is saved within the variables x, y and z. (lower case)
  2. Edit settings. Define, for example, the coordainte system, the filename and attributes.
  3. Generate Tiles. The bathymetry set will be created for Delft Dashboard using tiles.

 

Figure: Importing other bathymetric datasets is easy to carry out with Delft Dashboard as can be seen in this example where we import LiDAR data of Barnegat Bay, NJ


Available data sets 

 

The available data sets are given in the table below

Category

Available Databases

Coverage

Resolution (approx.)

Source

Other

GEBCO '08

Global topography

926 m (1) / 29.630 m (6)

BODC website

Other

SRTM 4.1

Global topography

93 m (1) / 47.407 m (10)

Jarvis A., H.I. Reuter, A.  Nelson, E. Guevara (2008)

USGS

Hawaii

Bathymetry

55 m (1) / 872 m (5)

USGS (Curt Storlazzi)

USGSSan Francisco BayBathymetry100 m (1) / xxx m (5)USGS website
USGSSouthern CaliforniaTopography near Los Angeles3 m (1) / 384 m (8)USGS publication
NGDC

Coastal Relief Model (CRM)

Bathymetry of the USA

93 m (1) / 11.852 m (8)

NOAA website

NGDCETOPO 1Global topography 1852 m (1) / 118518 m (7)NOAA website
NGDCETOPO 2Global topography 3704 m (1) / 118518 m (6)NOAA website  
Rijkswaterstaat

Vaklodingen

Bathymetry - the Netherlands

20 m (1) / 320 m (5)

Rijkswaterstaat

SURA

Gulf of Mexico

Bathymetry

93 m (1) / 1481 m (5)

GCOOS website

EMODNETCentral MediterraneanBathymetry 463 m (1) / 3704 m (4)EMODNET webite
EMODNETAegean SeaBathymetry 463 m (1) / 3704 m (4)EMODNET webite  
EMODNETBay of BiscayBathymetry 463 m (1) / 3704 m (4)EMODNET webite  
EMODNETCeltic SeasBathymetry 463 m (1) / 3704 m (4)EMODNET webite  
EMODNETGreat North SeaBathymetry 463 m (1) / 3704 m (4)EMODNET webite  
EMODNETWestern MediterraneanBathymetry 463 m (1) / 3704 m (4)EMODNET webite  
Marine ScotlandWest of LewisTopography 5 m (1) / 80 m (5)?
Geoscience AustraliaAustraliaTopography 278 m (1) / 17778 m (7)Geoscience Australia
NCTRSouthwest WashingtonTopography 45 m (1) / 9744 m (2)?
DMUACE-2Altimetry93 m (1) / 47407 (10)?
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