Building knowledge to optimise the management and protection of Danish water resources and the public’s drinking water supply as well as the impact of groundwater on Danish nature and the environment. Programme areas include mapping, establishing and managing monitoring programmes, understanding the water cycle and water quality.

The Water resources programme includes contributions from the following departments at GEUS:
  • Groundwater and Quaternary Geology Mapping
  • Geochemistry
  • Hydrology

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51 to 60 of 60 Results
Hydrogeological layers DK3 (ascii)
Feb 2, 2023 - DK-model2019
Ondracek, Maria, 2023, "Hydrogeological layers DK3 (ascii)", https://doi.org/10.22008/FK2/5FM4MO, GEUS Dataverse, V1
The hydrogeological layers in DKmodel2019 for modelarea DK3 (Fyn) in ascii format. Description and principle sketch of the hydrostratigraphic units and calculation layers for the DK-model2019 in chapter 3, National Vandressource Model Modelopstilling og kalibrering af DK-model 20...
Hydrogeological layers DK4, DK5 and DK6 (ascii)
Feb 2, 2023 - DK-model2019
Ondracek, Maria, 2023, "Hydrogeological layers DK4, DK5 and DK6 (ascii)", https://doi.org/10.22008/FK2/CU7SQ0, GEUS Dataverse, V1
The hydrogeological layers in DKmodel2019 for modelarea DK4, DK5 and DK6 (Jylland) in ascii format. Description and principle sketch of the hydrostratigraphic units and calculation layers for the DK-model2019 in chapter 3, National Vandressource Model Modelopstilling og kalibreri...
Hydrogeological layers DK7 (ascii)
Feb 2, 2023 - DK-model2019
Ondracek, Maria, 2023, "Hydrogeological layers DK7 (ascii)", https://doi.org/10.22008/FK2/38K1YC, GEUS Dataverse, V1
The hydrogeological layers in DKmodel2019 for modelarea DK7 (Bornholm) in ascii format. Description and principle sketch of the hydrostratigraphic units and calculation layers for the DK-model2019 in chapter 3, National Vandressource Model Modelopstilling og kalibrering af DK-mod...
Net irrigation, Indus and Ganges Basins
Jan 26, 2023
Kragh, Søren, 2023, "Net irrigation, Indus and Ganges Basins", https://doi.org/10.22008/FK2/TCIJMI, GEUS Dataverse, V1
Ensemble evapotranspiration-based net irrigation estimates for Indus and Ganges basins. Net irrigation is quantified by residuals of evapotranspiration between remote sensing models and rainfed hydrological models. This dataset contains estimates of mean ensemble net irrigation a...
Nitrate Retentionmap DK
Jan 10, 2023 - National Nitrogen Model
Højberg, Anker; Thodsen, Hans; Børgense, Christen Duus, 2023, "Nitrate Retentionmap DK", https://doi.org/10.22008/FK2/JLINZY, GEUS Dataverse, V1
Map showing the degree of nitrate retention in the subsurface and surface waters before they reach the coast calculated as an average for the period 1990-2010. Development and production of the map was carried out in cooperation between GEUS and the Univerity of Aarhus during 201...
Realizations of the subsurface representing interpretation uncertainty of a hydrostratigraphic model from Egebjerg, Denmark
Nov 30, 2022
Madsen, Rasmus Bødker, 2022, "Realizations of the subsurface representing interpretation uncertainty of a hydrostratigraphic model from Egebjerg, Denmark", https://doi.org/10.22008/FK2/CHXSAK, GEUS Dataverse, V1
Ensemble of 200 realizations of the subsurface near Egebjerg Denmark. The realizations were made using the GDM method (https://doi.org/10.1016/j.enggeo.2022.106833) to demonstrate the method. The realizations represent the interpretation uncertainty of the layer boundaries from a...
Redoxmaps from CRES2016
Jan 10, 2022
Seidenfaden, Ida Karlsson, 2022, "Redoxmaps from CRES2016", https://doi.org/10.22008/FK2/YEMDIS, GEUS Dataverse, V1
Resulting redoxmaps from the paper https://doi.org/10.5194/hess-2020-570. Maps are given for 45 combinations of 4 land use scenarioes, observational land use and climate data, and four different future climate models. Please see publication for details.
Catchment Dataset Denmark
Dec 7, 2021
Koch, Julian, 2021, "Catchment Dataset Denmark", https://doi.org/10.22008/FK2/YCQXTR, GEUS Dataverse, V1
This dataset can be used as input data for rainfall-runoff modelling for over 300 Danish catchments. Specifically, this dataset was used for a machine learning (LSTM) model application using the neuralhydrology codebase: https://neuralhydrology.github.io/ The data provided allows...
Metamodel transferability dataset
Aug 6, 2021
Bjerre, Elisa, 2021, "Metamodel transferability dataset", https://doi.org/10.22008/FK2/QS5PSL, GEUS Dataverse, V1
The dataset contains all input covariates and target variable for the random forest model presented in the manuscript "A Random Forest Metamodel for Predicting Drainage Fraction and Assessment of Model Transferability to New Spatial Domains" submitted to Water Resources Research
Gridded European Evapotranspiration Climatologies
Gridded European Evapotranspiration Climatologies
Jun 21, 2021
Stisen, Simon; Soltani, Mohsen; Mendiguren, Gorka; Langkilde, Henrik; Garcia, Monica; Koch, Julian, 2021, "Gridded European Evapotranspiration Climatologies", https://doi.org/10.22008/FK2/T6NBHH, GEUS Dataverse, V1
Spatial patterns in long-term evapotranspiration (ET) represent a unique source of information for evaluating the spatial pattern performance of distributed hydrological models at river basin to continental scale. This kind of model evaluation is getting increased attention, ackn...
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