Planet4Health mHM Simulation Output for the Iberian Peninsula

Historical Hydrological Simulations over the Iberian Peninsula (1990–2022) 

The mHM's v1 simulations of the Planet4Health project

This dataset contains historical hydrological simulations for the Iberian Peninsula conducted with the Mesoscale Hydrological Model (mHM) at a spatial resolution of 0.015625°. The simulation period spans 1990–2022 and was part of the Planet4Health (P4H) project, utilizing the EMO-1 meteorological forcing.

This archive is prepared for DOI assignment and ensures long-term reproducibility. It includes all relevant NetCDF output files, consistent with the temporary storage provided within the Helmholtz Centre for Environmental Research (UFZ) infrastructure.

The simulations were executed using a specific revision of the mHM model developed at the UFZ, Department of Computational Hydrosystems, Stochastic Hydrology Group. The applied model version corresponds to release 5.11.3-dev0 (commit 2aa1adc6) using the SCC method.

🛰️ Simulation Details

Model: Mesoscale Hydrological Model (mHM)

Codebase: scc_for_gauges branch

Spatial resolution: 0.015625°

Temporal resolution: Daily

Simulation period: 1990–2022

Simulation type: Historical simulation

Spin-up: 10-year spin-up using 1990–2000 EMO-1 climatology

Model version: v1

Configuration & Modules

The default configuration was used (no calibration). Modules included:

Snow processes: Degree-day method

Soil moisture: Feddes equation for evapotranspiration reduction

Infiltration: Multi-layer Brooks–Corey-like approach

Direct runoff: Linear reservoir exceedance method

Potential evapotranspiration: Hargreaves–Samani method

Interflow: Storage reservoir with nonlinear outflow

Groundwater: Linear reservoir

Routing: Adaptive time-step routing with spatially varying celerity

📥 Input Datasets

Meteorological Forcing

EMO-1 (Thiemig et al., 2022): ~1 km resolution README

ERA5 (Hersbach et al., 2020): Remapped to 0.125° using nearest-neighbor

E-OBS v25e (Cornes et al., 2018): European coverage, remapped to 0.125°

PET estimation: Hargreaves–Samani equation

Temporal disaggregation: Daily-to-hourly using ERA5 hourly weights

Model internal timestep: Hourly

Soil and Topography

SoilGrids (Hengl et al., 2014): Soil texture and depth

GMTED2010: For slope and aspect derivation

HydroSHEDS (Lehner et al., 2008): River network and conditioning

Land Cover and Vegetation

ESA GlobCover (2009): Used to derive dominant land cover types (forest, permeable, impervious)

GIMMS LAI (MODIS, GLCF): Leaf Area Index Access link

Groundwater Parameters

GLIM (Hartmann & Moosdorf, 2012): Used to assign baseflow recession constantsDOI: 10.1594/PANGAEA.788537

For more detailed information on the input datasets and preprocessing workflow, see:Rakovec et al. (2022) and Boeing et al. (2022)

📤 Output Variables

Discharge (routed streamflow)

Soil moisture

📫 Contact

For questions or collaboration inquiries, please contact:

Ehsan Modiri – [e-mail]

Oldrich Rakovec – [e-mail]

📚 References

Boeing, F. et al., 2022. Hydrol. Earth Syst. Sci., 26, 5137–5161.

Cornes, R. et al., 2018. J. Geophys. Res. Atmos., 123. DOI: 10.1029/2017JD028200

ESA, 2009. GlobCover v2. Link

Hargreaves, G.H. & Samani, Z.A., 1985. Applied Engineering in Agriculture, 1(2), pp.96–99.

Hartmann, J. & Moosdorf, N., 2012. Geochem. Geophys. Geosyst., 13(12).

Hengl, T. et al., 2017. PLoS One, 12(2), e0169748.

Hersbach, H. et al., 2020. QJRMS, 146(730), pp.1999–2049.

Kumar, R. et al., 2013. Water Resources Research, 49(1), pp.360–379.

Lehner, B. et al., 2011. Front. Ecol. Environ., 9(9), pp.494–502.

Rakovec, O. et al., 2016. J. Hydrometeorology, 17(1), pp.287–307.

Rakovec, O. et al., 2022. Earth’s Future, 10(3), e2021EF002394.

Samaniego, L. et al., 2010. Water Resources Research, 46(5).

Samaniego, L. et al., 2023. mhm-ufz/mHM: v5.13.1, Zenodo. DOI: 10.5281/zenodo.8279545

Thiemig, V. et al., 2022. Earth Syst. Sci. Data, 14(7), pp.3249–3272.

Thober, S. et al., 2019. Geosci. Model Dev., 12(6), pp.2501–2521.

📄 License

CC BY-NC-SA 4.0 DEEDAttribution-NonCommercial-ShareAlike 4.0 InternationalView License