DOI: 10.5281/zenodo.15496862
title: Inventory of Norwegian Ribbed Moraines

description: This dataset is an inventory of ribbed moraines throughout Norway which has been produced through a combination of automatically identified landforms via the algorithm (Barnes & Filhol, 2023), ands Norwegian national data (NGU, 2016). These data are in the form of an ESRI shapefile polygon format, with 739 individual entries.

Metadata is available for each polygon, derived from Norwegian national elevation model data, calculated hydrology and ice sheet model data extracted at 250 m resolution (Patton et al., 2016; 2017). Metadata are mean values for the entire ribbed moraine field in each case, and are described as follows:




Label
Details


ABT
Absolute basal temperature (Patton et al., 2016; 2017)


CUR
Curvature (Elevation data)


DEM
Present elevation a.s.l. (Elevation data)


FAC
Flow accumulation (Calculated hydrology)


H3C
Ice thickness (Patton et al., 2016; 2017)


HGR
Hydraulic gradient (Calculated hydrology)


HYH
Hydraulic head (Calculated hydrology)


ISD
Elevation a.s.l. before accounting for isostasy (Patton et al., 2016; 2017)


ISO
Difference between present and isostatic elevation values (Patton et al., 2016; 2017)


PMP
Pressure melting point (Patton et al., 2016; 2017)


SLO
Surface slope (Elevation data)


VEL
Ice velocity (Patton et al., 2016; 2017)


HYH-ELEV
Hydraulic head without elevation, i.e. hydraulic head accounting only for the influence of ice.




How to cite this data:

This data: Barnes, T. J.: Inventory of Norwegian ribbed moraines, Zenodo, [dataset], https://doi.org/10.5281/zenodo.15496861, 2025.

Methodology: Barnes, T. J., Filhol, S.: Aeteia/Ribbed-Moraine: Release ver.8.3 for ribbed moraines detection script, Zenodo [code and data set], https://doi.org/10.5281/zenodo.7991094, 2023

Paper: Barnes, T. J., Schuler, T. V, Filhol, S., and Lilleøren, K. S.: A machine learning approach to the geomorphometric detection of ribbed moraines in Norway, EGUsphere, 1–24, https://doi.org/10.5194/esurf-12-801-2024, 2024.

 

 

References:

Barnes, T. J., Filhol, S.: Aeteia/Ribbed-Moraine: Release ver.8.3 for ribbed moraines detection script, Zenodo [code and data set], https:doi.org/10.5281/zenodo.7991094, 2023

Barnes, T. J., Schuler, T. V, Filhol, S., and Lilleøren, K. S.: A machine learning approach to the geomorphometric detection of ribbed moraines in Norway, EGUsphere, 1–24, https://doi.org/10.5194/esurf-12-801-2024, 2024.

Barnes T. S., Schuler, T. V., Lilleøren, K. S., Schmidt, L. S.: Formational Conditions of Ribbed Moraine in Norway: A Distribution Analysis and Ribbed Moraine Inventory, EGUsphere, https://egusphere.copernicus.org/preprints/2025/egusphere-2025-108/, preprint.

NGU: Løsmasser over Norge, https://www.ngu.no/om-geologi/om-losmasser, 2016.

Patton, H., Hubbard, A., Andreassen, Auriac, A., Whitehouse, P. L., Stroeven, A. P., Shackleton, C., K., Winsborrow, M., Heyman, J. and Hall, A. M..: Deglaciation of the Eurasian ice sheet complex, Quat. Sci. Rev., 169, 148–172, https://doi.org/10.1016/j.quascirev.2017.05.019, 2017.

Patton, H., Hubbard, A., Andreassen, K., Winsborrow, M., and Stroeven, A. P.: The build-up, configuration, and dynamical sensitivity of the Eurasian ice-sheet complex to Late Weichselian climatic and oceanic forcing, Quat. Sci. Rev., 153, 97–121, https://doi.org/10.1016/j.quascirev.2016.10.009, 2016.