Bathymetry

General Information

North Sea

Baltic Sea

Clyde Marine Region

Adriatic Sea

Bathymetry

Layer Info
Category	Management
Sub-category	Environmental Conditions
Editable	No

Description

Bathymetry is the underwater equivalent to hypsometry or topography. Bathymetric (or hydrographic) charts are typically produced to support safety of surface or sub-surface navigation, and usually show seafloor relief or terrain as contour lines (called depth contours or isobaths).

MSP Challenge

The detail of the bathymetric data in the MSP Challenge is not suitable for navigation. Bathymetry in the MSP Challenge is a static data layer providing general indications of water depth in a particular sea area.

In this tab you can see the information that applies concretely to the North Sea edition of the MSP Challenge.

Types

• 0-20m
• 20-40m
• 40-60m
• 60-100m
• 100-200m
• 200-500m
• 500-1000m
• >1000m

Metadata

Data Source

Emodnet bathymetry data portal.

Original Title

Mean depth full coverage.

Description

The EMODnet data products are based on the continuous average depth grid of one-sixteenth arc-minute. This grid is based on three source types: Individual bathymetric surveys, composite digital terrain data (cDTM) and Satellite-Derived Bathymetry. The latter two have been used whenever the actual survey data was unavailable for direct processing by the EMODnet partners. Whenever data were unavailable GEBCO data has been used to fill in the gaps.

Creation Date

Accessed in 2019/11

Methodology

Downloaded the (raster) data covering the interest area from emodnet. Created a composite raster file and reprojected the data to Lambert's Azimuthal Equal Area (EPSG:3035) projection. The data was then clipped to the area of interest and classified it using the depth ranges mentioned above in the "types" section.

In this tab you can see the information that applies concretely to the Baltic Sea edition of the MSP Challenge.

Types

• 0 - 50 m
• 50 - 100 m
• 100 - 150 m
• 150 - 200 m
• 200 - 250 m
• > 250 m

Metadata

Data Source

Baltic Sea Hydrographic Commission, 2013, Baltic Sea Bathymetry Database version 0.9.3. Downloaded from http://data.bshc.pro/ on 2017-05-22.

Original Title

Baltic Sea Bathymetry Database (BSBD)

Description

"This bathymetry layer is not based on measurements but modelled. The bathymetry is modelled based on data provided by the countries around the baltic sea. Sweden, Denmark, Finland and Estonia have all delivered data for this 500 meter grid model. The purpose of this database is to deliver a homogenous bathymetric model for the complete baltic sea at specific resolutions. It is also important to notice that this data must not be used for navigation."

Description retrieved from HELCOM\'s metadata page for this resource (2021-07-06).

Creation Date

2013-11-15

Methodology

This layer was integrated into the MSP Challenge to show the depths in intervals of 50m depth until 250m.

In this tab you can see the information that applies concretely to the Clyde Marine Region edition of the MSP Challenge.

Types

• 0 m
• 20 m
• 40 m
• 100 m
• 150 m
• 200 m
• 250 m

Metadata

Data Source

Emodnet bathymetry data portal

Original Title

Mean depth full coverage

Description

"A harmonised EMODnet Digital Terrain Model (DTM) has been generated for European sea regions (36W,15N; 43E,90N) from selected bathymetric survey data sets, composite DTMs, Satellite Derive Bathymetry (SDB) data products, while gaps with no data coverage are completed by integrating the GEBCO Digital Bathymetry." Retrieved from Emodnet bathymetry data portal on 2021-02-08.

Creation Date

Accessed on 2017-05.

Methodology

Downloaded the (raster) data covering the interest area from emodnet. Created a composite raster file and reprojected the data to Lambert's Azimuthal Equal Area (EPSG:3035) projection. The data was then clipped to the area of interest and classified it using the depth ranges mentioned above in the "types" section.

In this tab you can see the information that applies concretely to the Adriatic Sea edition of the MSP Challenge.

Types

• 0 - 20 m
• 20 - 40 m
• 40 - 60 m
• 60 - 100 m
• 100 - 250 m
• 250 - 500 m
• 500 -1000 m
• 1000-1500 m
• > 1500 m

Metadata

Data Source

Emodnet bathymetry data portal

Original Title

Mean depth full coverage.

Description

"A harmonised EMODnet Digital Terrain Model (DTM) has been generated for European sea regions (36W,15N; 43E,90N) from selected bathymetric survey data sets, composite DTMs, Satellite Derive Bathymetry (SDB) data products, while gaps with no data coverage are completed by integrating the GEBCO Digital Bathymetry." Retrieved from Emodnet bathymetry data portal on 2021-02-08.

Creation Date

Accessed in 2020/06

Methodology

Downloaded the (raster) data covering the interest area from emodnet. Created a composite raster file and reprojected the data to Lambert's Azimuthal Equal Area (EPSG:3035) projection. The data was then clipped to the area of interest and classified it using the depth ranges mentioned above in the "types" section.

Eastern Mediterranean Sea

In this tab you can see the information that applies concretely to the Eastern Mediterranean Sea edition of the MSP Challenge.

Types

• 0-20m
• 20-40m
• 40-60m
• 60-100m
• 100-200m
• 200-500m
• 500-1000m
• 1000-2000m
• >2000m

Metadata

Data Source

Emodnet bathymetry data portal.

Original Title

Mean depth full coverage.

Description

The EMODnet data products are based on the continuous average depth grid of one-sixteenth arc-minute. This grid is based on three source types: Individual bathymetric surveys, composite digital terrain data (cDTM) and Satellite-Derived Bathymetry. The latter two have been used whenever the actual survey data was unavailable for direct processing by the EMODnet partners. Whenever data were unavailable GEBCO data has been used to fill in the gaps.

Creation Date

Accessed in 2021/11

Methodology

Downloaded the (raster) data covering the interest area from emodnet. Created a composite raster file and reprojected the data to Lambert's Azimuthal Equal Area (EPSG:3035) projection. The data was then clipped to the area of interest and classified it using the depth ranges mentioned above in the "types" section.