Calculated seafloor ruggedness index (TRI) of the Baltic Sea
Martin Jakobsson
Terrain ruggedness index (TRI) of the Baltic Sea floor calculated using the European Marine Observation and Data Network (EMODnet) 2019 bathymetric grid as a base. The TRI values provide a measure of the variation in the terrain, i.e. the ruggedness or sometimes referred to as roughness. High/low TRI-values means large/small topographic variations. It is commonly used in studies of land or ocean morphology.
MarineBathymetryBathymetrySeafloor morphometryMorphology
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Citation
References
Jakobsson, M., Stranne, C., O'Regan, M., Greenwood, S. L., Gustafsson, B., Humborg, C., Weidner, E. (2019): Bathymetric Properties of the Baltic Sea, Ocean Science, 2019, https://doi.org/10.5194/os-2019-18
Data description
The Terrain Ruggedness Index (TRI) dataset is provided in one zipped geotiff (.tif) file. TRI was calculated using the EMODnet gridded bathymetry as a base. Calculation was done on a reprojected version of the EMODnet grid: 100x100 m grid cell-size, Lambert Equal Area with the parameters specified as in the European Terrestrial Reference System (ETRS) 1989 (ETRS89-LAEA). The TRI algorithm calculates the average of the sum of the absolute differences between the neighboring cells and the centre cell. A radius of 10 cells was used, implying a block of 2100 x 2100 m over which a TRI value is calculated.
Comments
TRI of the Baltic Sea floor was computed using the algorithm available with the Open Source System for Automated Geoscientific Analyses (SAGA). This work was done for the study of the Bathymetric Properties of the Baltic Sea published in Ocean Science (Jakobsson et al. 2019).
Project
The research that led to creation of this dataset was supported by the Swedish Radiation Safety Authority (grant no. SSM2016-644).
Publisher
Bolin Centre Database
First name
Martin
Last name or organisation
Jakobsson
Email address
Address
Department of Geological Sciences, Stockholm University
Postal code
SE-106 91
City
Stockholm
Province or state
Stockholm
Country
Sweden
GCMD science keyword
Earth science > Oceans > Sea surface topography
GCMD location
Ocean > Atlantic Ocean > North Atlantic Ocean > Baltic Sea
Dataset language
English