Forcing for HD Model (JSBACH, MPI-HM) and HD Model discharge from Hagemann et al. (2020)


Hagemann, Stefan; Stacke, Tobias

The data of this experiment have been used in (Hagemann et al., 2020). It comprise daily data of surface runoff and subsurface runoff (drainage) from JSBACH and MPI-HM and simulated daily discharges (river runoff). To generate river runoff, the Hydrological discharge (HD) model (Hagemann et al., 2020; Hagemann and Ho-Hagemann, 2021) was used that was operated at 5 arc minutes horizontal resolution. Different to the published version of HD model parameters (5.0) on Zenodo, an earlier version (4.0) of flow directions and model parameters has been used that is provided as an auxiliary data file. The HD model was set up over the European domain covering the land areas between -11°W to 69°E and 27°N to 72°N. First, the respective forcing data of surface and sub-surface runoff were interpolated to the HD model domain using conservative remapping. Then, daily discharges were simulated with the HD model for the period 1979-2009 (1999-2009 for HD5-MESCAN). In addition, daily discharges were analogously simulated using only JSBACH forcing with the global 0.5° version 1.10 of the HD model. The associated flow directions and model parameters of vs. 1.10 are provided as an auxiliary data file. The HD forcing data are:

In order to generate daily input fields of surface runoff and drainage, the land surface scheme JSBACH (vs. 3 + frozen soil physics; (Ekici et al., 2014)) was forced globally at 0.5° with daily atmospheric forcing data based on the Interim Re-Analysis of the European Centre for Medium-Range Weather Forecast (ERA-Interim; (Dee et al., 2011)). These forcing data are bias-corrected (see (Beer et al., 2014)) towards the so-called WATCH forcing data (WFD; (Weedon et al., 2011)) that have been generated in the EU project WATCH.

The MPI-M hydrology model MPI-HM (Stacke and Hagemann, 2012) was driven by daily WATCH forcing data based on ERA-Interim (WFDEI; (Weedon et al., 2014)) from 1979-2009 to generate daily input fields of surface runoff and drainage at global 0.5° resolution.

Six hourly data of surface runoff and drainage (variable name: percolation) were retrieved from the MESCAN-SURFEX regional surface reanalysis (Bazile et al., 2017) created in the EU project UERRA (Uncertainties in Ensembles of Regional ReAnalysis; SURFEX (Masson et al., 2013) is a land surface platform that was driven by atmospheric forcing at 5.5 km. The forcing comprises 24h-precipitation, near-surface temperature and relative humidity analyzed by the MESCAN surface analysis system as well as radiative fluxes and wind downscaled at 5.5 km from the 3DVar re-analysis conducted with the HARMONIE system at 11 km (Ridal et al., 2017). The latter has been generated using six-hourly fields of the ERA-Interim reanalysis as boundary conditions and covers a domain comprising Europe and parts of the Atlantic, which is similar to the European domain of the Coordinated Downscaling Experiment (CORDEX) at 11 km.
coastDat-Land-Ocean-Fluxes (coastDat - Regional Water and Matter Fluxes at the Land-Ocean Interface)
Dr. Stefan Hagemann (
Spatial Coverage
Longitude -11 to 69 Latitude 27 to 72
Use constraints
Creative Commons Attribution 4.0 International (CC BY 4.0) (
Data Catalog
World Data Center for Climate
29.94 GiB (32149190340 Byte)
completely archived
Creation Date
Future Review Date
Cite as
Hagemann, Stefan; Stacke, Tobias (2021). Forcing for HD Model (JSBACH, MPI-HM) and HD Model discharge from Hagemann et al. (2020). World Data Center for Climate (WDCC) at DKRZ.

[Entry acronym: Hagemannetal2020] [Entry id: 3889895]
Accuracy report
SQA - Scientific Quality Assurance 'approved by author' 2021-09-03; TQA - Technical Quality Assurance 'approved by WDCC' 2021-09-03
Technical Quality Assurance: The number of data sets is checked and not equal 0[ done ]
Technical Quality Assurance: The size of every data set is not equal 0[ done ]
Technical Quality Assurance: The data sets and corresponding metadata are all accessible via internet[ done ]
Technical Quality Assurance: The data size is checked and correct[ done ]
Technical Quality Assurance: The format is verified and correct[ done ]
Technical Quality Assurance: The time description (metadata) and data are consistent[ done ]
Technical Quality Assurance: The variable description and data are consistent[ done ]
Contact typePersonInstitute
ContactDr. Stefan HagemannHelmholtz-Zentrum Hereon
AuthorDr. Stefan HagemannHelmholtz-Zentrum Hereon
AuthorDr. Tobias StackeHelmholtz-Zentrum Hereon
investigatorDr. Stefan HagemannHelmholtz-Zentrum Hereon
metadataDr. Stefan HagemannHelmholtz-Zentrum Hereon


[1] DOI Dee, D. P.; Uppala, S. M.; Simmons, A. J.; Berrisford, P.; Poli, P.; Kobayashi, S.; Andrae, U.; Balmaseda, M. A.; Balsamo, G.; Bauer, P.; Bechtold, P.; Beljaars, A. C. M.; van de Berg, L.; Bidlot, J.; Bormann, N.; Delsol, C.; Dragani, R.; Fuentes, M.; Geer, A. J.; Haimberger, L.; Healy, S. B.; Hersbach, H.; Hólm, E. V.; Isaksen, L.; Kållberg, P.; Köhler, M.; Matricardi, M.; McNally, A. P.; Monge-Sanz, B. M.; Morcrette, J.-J.; Park, B.-K.; Peubey, C.; de Rosnay, P.; Tavolato, C.; Thépaut, J.-N.; Vitart, F. (2011). The ERA-Interim reanalysis: configuration and performance of the data assimilation system. doi:10.1002/qj.828
[2] DOI Beer, Christian; Weber, Ulrich; Tomelleri, Enrico; Carvalhais, Nuno; Mahecha, Miguel; Reichstein, Markus. (2014). Harmonized European Long-Term Climate Data for Assessing the Effect of Changing Temporal Variability on Land–Atmosphere CO2 Fluxes. doi:10.1175/jcli-d-13-00543.1
[3] DOI Masson, V.; Le Moigne, P.; Martin, E.; Faroux, S.; Alias, A.; Alkama, R.; Belamari, S.; Barbu, A.; Boone, A.; Bouyssel, F.; Brousseau, P.; Brun, E.; Calvet, J.-C.; Carrer, D.; Decharme, B.; Delire, C.; Donier, S.; Essaouini, K.; Gibelin, A.-L.; Giordani, H.; Habets, F.; Jidane, M.; Kerdraon, G.; Kourzeneva, E.; Lafaysse, M.; Lafont, S.; Lebeaupin Brossier, C.; Lemonsu, A.; Mahfouf, J.-F.; Marguinaud, P.; Mokhtari, M.; Morin, S.; Pigeon, G.; Salgado, R.; Seity, Y.; Taillefer, F.; Tanguy, G.; Tulet, P.; Vincendon, B.; Vionnet, V.; Voldoire, A. (2013). The SURFEXv7.2 land and ocean surface platform for coupled or offline simulation of earth surface variables and fluxes. doi:10.5194/gmd-6-929-2013
[4] DOI Weedon, Graham P.; Balsamo, Gianpaolo; Bellouin, Nicolas; Gomes, Sandra; Best, Martin J.; Viterbo, Pedro. (2014). The WFDEI meteorological forcing data set: WATCH Forcing Data methodology applied to ERA-Interim reanalysis data. doi:10.1002/2014wr015638
[5] DOI Weedon, G. P.; Gomes, S.; Viterbo, P.; Shuttleworth, W. J.; Blyth, E.; Österle, H.; Adam, J. C.; Bellouin, N.; Boucher, O.; Best, M. (2011). Creation of the WATCH Forcing Data and Its Use to Assess Global and Regional Reference Crop Evaporation over Land during the Twentieth Century. doi:10.1175/2011jhm1369.1
[6] Bazile, Eric; Abida, Rachid; Szczypta, Camille; Verelle, Antoine; Soci, Cornel; Moigne, Patrick Le. (2017). Deliverable D2.9: Ensemble surface reanalysis report.
[7] Ridal, Martin; Olsson, Esbjörn; Unden, Per; Zimmermann, Klaus; Ohlsson, Alexandra. (2017). Deliverable D2.7: HARMONIE reanalysis report of results and dataset.

Is compiled by

[1] DOI Ekici, A.; Beer, C.; Hagemann, S.; Boike, J.; Langer, M.; Hauck, C. (2014). Simulating high-latitude permafrost regions by the JSBACH terrestrial ecosystem model. doi:10.5194/gmd-7-631-2014
[2] DOI Stacke, T.; Hagemann, S. (2012). Development and evaluation of a global dynamical wetlands extent scheme. doi:10.5194/hess-16-2915-2012
[3] DOI Hagemann, Stefan; Ho-Hagemann, Ha Thi Minh. (2021). The hydrological discharge model - a river runoff component for offline and coupled model applications. doi:10.5281/zenodo.4893099

Is described by

[1] DOI Hagemann, Stefan; Stacke, Tobias; Ho-Hagemann, Ha T. M. (2020). High Resolution Discharge Simulations Over Europe and the Baltic Sea Catchment. doi:10.3389/feart.2020.00012

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