geodata-info
DK model 2019 – Calibration statistics
DK model 2019 – Calibration statistics comprises spatial and statistical results from the calibration and evaluation of GEUS’ national hydrological model for Denmark. The dataset documents model performance for groundwater heads and stream discharge, including statistical measures such as RMSE and mean error for groundwater heads as well as WBE, summer WBE and KGE for streamflow simulations. The calibration was carried out using dynamic model runs and inverse parameter estimation with PEST based on observed groundwater heads and daily discharge data for the period 2000–2010. The dataset is intended for assessing the suitability of DK model 2019 for regional analyses, screening and further use. The calibration statistics describe model performance at national and regional scales and should not by themselves be used as documentation of local-scale model accuracy.
Simple
Identifikation
- Titel
-
DK model 2019 – Calibration statistics
Offentliggørelsestidspunkt
- Dato (Publication)
- 2025-08-25
Ansvarlig myndighed og kontaktoplysninger
- Kontakt vedr. service
-
Organisationsnavn E-mail adresse Rolle The Geological Survey of Denmark and Greenland (GEUS)
Point of contact
- Metadata author
-
Organisationsnavn E-mail adresse Rolle The Geological Survey of Denmark and Greenland (GEUS)
Point of contact
Geografisk udstrækning
- Koordinatsystem
-
ETRS 89 / UTM 32N (EPSG:25832)
Nøgleord
- Nøgleord
-
Dataset
- Nøgleord
-
Hydrological model
- Nøgleord
-
Calibration
- Nøgleord
-
Model performance
- Nøgleord
-
Groundwater head
- Nøgleord
-
Stream discharge
- Nøgleord
-
DK model 2019
- Type
- Theme
- Nøgleord
- Hydrology
- Type
- Theme
- Titel
- Forskningsemner
- Dato (Publication)
- 2025-11-03
- Nøgleord
- Denmark
- Type
- Place
- Titel
- Geografisk
- Dato (Publication)
- 2025-12-11
Kvalitet
- Type som metadata beskriver
- Dataset
- Beskrivelse
-
The calibration statistics are derived from DK model 2019, GEUS’ national hydrological model for Denmark. The model was calibrated inversely using the PEST software and dynamic model runs. Observed groundwater heads for the period 2000–2010 and daily discharge data from selected stream gauging stations for the same period were used as calibration targets. RMSE and mean error were used as key evaluation measures for groundwater heads. For stream discharge, the evaluation included total water balance error, WBE, Kling-Gupta Efficiency, KGE, for the full calibration period, and summer water balance error, summer WBE. The model was subsequently validated using a split-sampling test with independent data from the periods 2011–2015 and 1995–1999. The dataset represents the published calibration statistics from DK model 2019 and should be used with due consideration that the model was set up and calibrated for overall regional conditions rather than local-scale variation.
)))
