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No full textThe .zip files contains simulated recharge from DK-model HIP 100m, as the MIKE SHE resultfile: .._2DUZ_AllCells.dfs2, with daily timestep, unit mm/day, for the period 1989 – 2024. Large files (>16GB) are packed with 7-zip into several .zip file, please unpack them using 7-zip in order to get the singe .dfs2 file
National nitrogen retention maps for Denmark
No full textThis repository contains three national nitrogen retention maps for Denmark and associated uncertainties. “TotalRetention_regioner.tif” is the total retention (nitrogen removal) from the source location to the coast, “Grundvandsretention_regioner.tif” is the retention during transport in the groundwater and “Overfladevandsretention.tif” is the retention in the surface water system, i.e. streams, lakes, wetlands and inundated areas. The maps for the total and groundwater retention are aggregated from a 100 m grid into regions with a minimum size of 50 ha based on similarity between neighbouring grids. For surface water, the spatial resolution is defined as the contribution catchment discharging to the individual retention environments, e.g. a lake catchment. The total retention is supplemented by two maps “TotalRetention_usikkerhed_regioner.tif” showing the uncertainty in the total retention estimated for each region and “TotalRetention_standardafvigelse_regioner.tif” displaying the standard deviation between the individual grids within each region. All maps are calculated using data for the period 2000 – 2021.
The nitrogen retention maps have been developed in a collaboration between GEUS and Aarhus University
PROMICE-2022 Ice Mask Sentinel-2 RGB mosaic (August 2022)
No full textPROMICE-2022 Ice Mask Sentinel-2 RGB Mosaic (August 2022)
Short description
High-resolution Sentinel-2 RGB mosaics covering the ice margin of the Greenland Ice Sheet used to derive the PROMICE-2022 ice mask. The mosaics were compiled from Sentinel-2 imagery acquired in August 2022 and processed to Cloud-Optimized GeoTIFF (COG) format with ZSTD compression for efficient access and reduced file size.
The dataset is provided as nine regional mosaics to balance file size, spatial coverage, and usability. The nine directional tiles included are:
SW, W, NW, NNW, NNE, NE, EN, ES, SE.
The scripts used to create these mosaics are available at the PROMICE ice mask GitHub repository:
https://github.com/GEUS-Glaciology-and-Climate/PROMICE-ice-mask.
Files included
Sentinel_2_August_2022_SW_COG.tif — COG mosaic, southwest Greenland
Sentinel_2_August_2022_W_COG.tif — COG mosaic, west Greenland
Sentinel_2_August_2022_NW_COG.tif — COG mosaic, northwest Greenland
Sentinel_2_August_2022_NNW_COG.tif — COG mosaic, north-northwest Greenland
Sentinel_2_August_2022_NNE_COG.tif — COG mosaic, north-northeast Greenland
Sentinel_2_August_2022_NE_COG.tif — COG mosaic, northeast Greenland
Sentinel_2_August_2022_EN_COG.tif — COG mosaic, east-northeast Greenland
Sentinel_2_August_2022_ES_COG.tif — COG mosaic, east-southeast Greenland
Sentinel_2_August_2022_SE_COG.tif — COG mosaic, southeast Greenland
Technical summary
Source: Sentinel-2 Level-2 imagery (Copernicus/ESA)
Acquisition: August 2022
Resolution: native Sentinel-2 RGB
Format: Cloud-Optimized GeoTIFF (COG)
Compression: ZSTD (lossless, optimized for cloud access)
CRS: WGS 84 / NSIDC Sea Ice Polar Stereographic North (EPSG:3413)
Licence & attribution
The underlying Sentinel-2 imagery is distributed under the Copernicus Open Access Licence (Copernicus/ESA). Users are requested to acknowledge Copernicus/ESA when using the mosaics. The PROMICE-2022 derivative products in this Dataverse are provided under the terms described in the dataset metadata.
Terms of use
If the data are presented or used to support results of any kind, please include an acknowledgement and references to the applicable publications:
Reference to the peer-reviewed article presenting the PROMICE-2022 Ice Mask:
Luetzenburg, G. et al. (preprint). PROMICE-2022 Ice Mask: A High-Resolution Outline of the Greenland Ice Sheet from August 2022. Earth Syst. Sci. Data.
https://doi.org/10.5194/essd-2025-415
Reference to the dataset itself (see citation and DOI at the top of this page).
If the data are crucial to the main conclusions of a manuscript or presentation of any kind, please contact a relevant member of the PROMICE team at GEUS and include them in the manuscript author list.
Usage notes
The mosaics are provided as nine COG files to allow efficient streaming and subsetting without downloading the full dataset.
They were used to manually delineate the PROMICE-2022 ice mask and are suitable for high-resolution visual interpretation and as a mask for Sentinel-2 based classification workflows.
Related Datasets
PROMICE-2022 Ice Mask (Master Dataset)
The PROMICE-2022 Ice Mask is the primary output of this data release and provides the updated delineation of the Greenland Ice Sheet. The mask was derived using multiple datasets, including the Sentinel-2 mosaics provided here.
Access it here: https://doi.org/10.22008/FK2/O8CLRE
PROMICE-2022 Ice Mask QGIS Bundle
This bundle provides the PROMICE-2022 ice mask together with a preconfigured QGIS project, layer styles, and WMS layers (e.g., Sentinel-2, SPOT 6/7, topographic maps). It is recommended for users who want to explore the ice mask and reference imagery inside a fully prepared GIS environment.
Access it here: https://doi.org/10.22008/FK2/ARQ2L1
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GPS observations at EGIG and PARCA ice-sheet sites in West Greenland (2020/2022)
No full textThis dataset contains GPS data collected at historical ice-sheet science sites in West Greenland (EGIG: T1, T2, T3, T4, T5, T127, T127a, T128, T129; PARCA: cd08, cd38). This GPS data was acquired during the period 2020-2022, and is provided in both processed and unprocessed form. Field notes, including antenna heights during site visits, are also provided, along with an overview map of the ice-sheet area
PROMBIO photos and cell counts 2021 to 2023
No full text
PROMBIO photos and cell counts 2021 and 2023.
this dataverse dataset includes:
a table of cell counts
photos
cell counts and notes appear in the file named "Table for GEUS_PROMBIO 2021-2023 v20240408a.xlsx"
2021 was a test year and only includes data from QAS
Typical sampling is of three surfaces per site per year, i.e. dark, under the albedometer and representative.
Typical sampling is of three surfaces per site per year, i.e. dark, under the albedometer and representative.
See also this report: https://dce.au.dk/fileadmin/dce.au.dk/Udgivelser/Tekniske_rapporter_300-349/TR314.pdf
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Greenland Ice Sheet annual mass changes from joint inversion of gravimetry and altimetry
No full textData sets released are 2-year mean annual mass changes over the Greenland ice sheet, derived from joint inversion of gravimetry (GRACE, GRACE-FO) and altimetry (CryoSat-2) data. Unit is mm water equivalent per year. The data product covers the period from 2011 through 2020, with a two-year data gap (2017-2018) due to a lack of GRACE/GRACE-FO data
Supplementary files for: Quantifying seabed geodiversity of the Archipelago Sea, Baltic Sea, Finland
No full textThis study investigated the geodiversity of the Archipelago Sea in the northern Baltic Sea, focusing on geological features and their spatial distribution. By adapting methods used in previous Baltic Sea studies, we conducted spatial analyses of geological data sets including bedrock type, seabed substrates and seabed structures. Bedrock and substrate data were freely available, while seabed structures were modelled from bathymetry data. Geodiversity was quantified using a geodiversity index, which considers the variety of physical elements, roughness and area of the unit. The analyses revealed a diverse seabed environment in the Archipelago Sea with varying geodiversity throughout the study area. Significant features contributing to geodiversity included bedrock fracture and fault zones and large end-moraine formations. Similar patterns have been observed in terrestrial areas of Finland. The analyses also detected relations between archipelago zonation and geodiversity with areas of open sea more homogeneous than the middle and inner archipelago. This study formally recognises the complexity of the seabed in the Archipelago Sea and highlights the importance of understanding the geological processes shaping the region. The results can inform maritime spatial planning and sustainable resource management
Greenland Ice Velocity from Sentinel-1 Edition 4
No full text Greenland Ice Velocity from Sentinel-1
The PROMICE Ice Velocity product is a timeseries of Greenland Ice Sheet velocity mosaics based on ESA Sentinel-1 SAR offset tracking.
The product spans the period January 2016 to present.
Spatial resolution: 200 m
Temporal resolution: A new mosaic spanning 2 Sentinel-1A cycles i.e. 24 days is posted every 12 days.
Each mosaic: All possible 6 and 12 day pairs using Sentinel-1A, 1B and 1C is included in the mosaic.
Each mosaic is supplied as a NetCDF file.
Projection: Polar Stereographic projection (EPSG: 3413)
The data product is described in detail in Solgaard et al., 2021 (see reference below)
We aim to make each new mosaic available within 10 days of the last included acquisition.
To see and post comments/recommendations please check out: github.com/GEUS-PROMICE/Sentinel-1_Greenland_Ice_Velocity
Main updates for Edition 4:
The product resolution is now 200 m
Improved delineation of the velocity field at outlet glacier margins.
More details on the updated processor to be described in a planned update of the PROMICE ice velocity ESSD publication.
NOTE version 18: The products cycle314_315 through cycle318_319 have been updated. Some tracks were missing in the previous versions.
Main updates for Edition 3:
The dataset has been extended back in time and now covers: January 2016 - Present
Main updates performed for Edition 2:
All 6 day and 12 day pairs possible are included in each 2 cycle mosaic.
We no longer mask out results in ice free areas in order to avoid removing ice flow as the ice sheet advances
We apply the culling scheme described in Solgaard, A., Kusk, A., Merryman Boncori, J. P., Dall, J., Mankoff, K. D., Ahlstrøm, A. P., Andersen, S. B., Citterio, M., Karlsson, N. B., Kjeldsen, K. K., Korsgaard, N. J., Larsen, S. H., and Fausto, R. S.: Greenland ice velocity maps from the PROMICE project, Earth Syst. Sci. Data, 13, 3491–3512, https://doi.org/10.5194/essd-13-3491-2021, 2021.
NOTE: From version 11: Prior to version 11, the mosaics covering dates in 2021 were not culled correctly. In version 11 the affected mosaics have been re-culled and uploaded.
NOTE: From version 31:Prior to version 31, there were gaps in the timeseries in 2017. These have now been filled.
NOTE: No 6 day pairs in mosaics since Dec 23 2021:
Due to a faliure on Sentinel-1 B, no data has been received from the satellite since Dec 23 2021. For this reason the mosaics produced since then includes no 6 day pairs. This limits the quality of the posted ice velocity mosaics.
NOTE: 6 day pairs in mosaics are back since end of March 2025:
We now also include data from Sentinel-1 C in the mosaics.
How to cite:
When using the dataset please use: Anne Solgaard; Anders Kusk, 2021, "Greenland Ice Velocity from Sentinel-1 Edition 4", https://doi.org/10.22008/promice/data/sentinel1icevelocity/greenlandicesheet, GEUS Dataverse
Literature citation: Solgaard, A., Kusk, A., Merryman Boncori, J. P., Dall, J., Mankoff, K. D., Ahlstrøm, A. P., Andersen, S. B., Citterio, M., Karlsson, N. B., Kjeldsen, K. K., Korsgaard, N. J., Larsen, S. H., and Fausto, R. S.: Greenland ice velocity maps from the PROMICE project, Earth Syst. Sci. Data, 13, 3491–3512, https://doi.org/10.5194/essd-13-3491-2021, 2021.
Please add the following to your acknowledgements: "Ice velocity maps were produced as part of the Programme for Monitoring of the Greenland Ice Sheet (PROMICE) using Copernicus Sentinel-1 SAR images distributed by ESA, and were provided by the Geological Survey of Denmark and Greenland (GEUS) at http://www.promice.dk."
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Supporting Information for: Structures and magmatism associated with a failed triple junction in Traill Ø, East Greenland
No full textTable of fault-slip data set used for paleostress analysis. This supporting information provides the fault-slip data set used for paleostress analysis
Geotif data related to GEUS report 2023/8
No full textGriddata from different abstraction scenaries on groundwater recharge to aquifers, total recharge, drainage to river, sz to river and grids on depth to aquifers.
Data produced as a part of an estimate of the sustainable water resources of Denmark using the Danish National Hydrological Model. All griddata are calculated as year 1991-2020 mean values (from 5 days intervals