HIP - modelling - climate change

Model calculations are a dataset that includes modelled depth for ground-level groundwater, ground-level groundwater, water content in the root zone and water flow in streams. The model calculations have been produced by GEUS using DK model HIP in 100 meters grid for the period since 1990. The model calculations are suitable for screening in connection with water management, climate adaptation, urban planning and more.

Model uncertainty is a data product that includes modelled depth for ground water and water flow in the period 1990-2019. The calculations were performed by GEUS using DK model HIP to show the suitability of HIP model calculations for screening.

Machine learning and uncertainty is a data set that shows nationwide depth to ground-level groundwater in high spatial resolution (10 m-grid) for a typical summer and winter situation as well as associated uncertainties in the period 1991-2025. The calculations have been carried out by GEUS using the DK model HIP and machine learning in order to provide screening data that can support the work on water management, climate adaptation, urban planning and more.

Land-covering hydrostratigraphic model is used by GEUS to perform model calculations with DK model HIP.

Sub-basins include two nationwide digital catchment maps showing river basins and river basins. This information is displayed and used in the Hydrological Information and Forecasting System at hipdata.dk. The purpose of the maps is to support the work on holistic climate adaptation for river systems.

Randterms is a data product containing nationwide model calculations of hydrological conditions in the period 1990-2019, prepared by GEUS using the DK model HIP in the 100 m grid. These boundary conditions are suitable for defining and delimiting local hydrological submodels, as well as for further development of more detailed analyses and mappings for use in detailed planning.