Planet4Health mHM Simulation Output for South Africa at 0.015625deg resolution

Historical Hydrological Simulations over the South African Domain (1990–2024) The mHM's simulations of the Planet4Health project This dataset contains historical hydrological simulations for the South African domain (domain 1020011530) conducted with the Mesoscale Hydrological Model (mHM) at a spatial resolution of 0.015625°. The simulation period spans 1990–2024 and was part of the Planet4Health (P4H) project, utilising the ERA5 meteorological forcing. This archive is prepared for DOI assignment and ensures long-term reproducibility. It includes relevant clipped NetCDF components (streamflow 'q', soil moisture 'sm_l01', domain mask, and uparea assets), consistent with the infrastructure provided within the Helmholtz Centre for Environmental Research (UFZ). The simulations were executed using a specific version of the mHM model with the SCC method for gauges, paired with the mRMv1.0 routing configuration. 🛰️ Simulation Details Model: Mesoscale Hydrological Model (mHM) Codebase: scc_for_gauges branch (https://git.ufz.de/shresthp/mhm/-/tree/scc_for_gauges?ref_type=heads) Spatial resolution: 0.015625° Temporal resolution: Daily Simulation period: 1990–2024 Simulation type: Historical simulation Model version: mHMv5.11.3 (Release mRMv1.0) Setup Scope: Model run for domain 1020011530, post-processed and clipped. Simulation Version: v1.0 Configuration & Modules The configuration utilises standard structural components with the SCC methodology. 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 mRMv1.0 mechanisms 📥 Input Datasets Meteorological Forcing: ERA5 (Hersbach et al., 2020) at a native input meteorological resolution of 0.25°, dynamically downscaled/mapped to model requirements. Processing Infrastructure: Tracked, processed, and validated under the Planet4Health deployment pipeline (https://git.ufz.de/planet4health/mhm_production/-/tree/main/postproc?ref_type=heads). Data Interfaces: Climate Data Interface version 2.2.4 (CDI) | Climate Data Operators version 2.2.2 (CDO) | NetCDF Operators version 5.1.7 (NCO). 📤 Output Variables q: Routed streamflow (discharge) [m3 s-1] sm_l01: Volumetric soil moisture of soil layer 1 (top 50 mm) [mm mm-1, fraction between 0 and 1] mask: Domain clipping structure [binary flag / dimensionless] uparea: Upstream catchment area matrix [m2] 📫 Contact For questions or collaboration inquiries, please contact: Ehsan Modiri – [e-mail] Pallav Kumar Shrestha – [e-mail] 📚 References Boeing, F. et al., 2022. Hydrol. Earth Syst. Sci., 26, 5137–5161. 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 Thober, S. et al., 2019. Geosci. Model Dev., 12(6), pp.2501–2521.