HydroLand¶
General description¶
HydroLand is an open-source, component-based model coupling for land-surface hydrology simulations (see the Zenodo HydroLand repository). It combines the mesoscale Hydrologic Model (mHM) with the multiscale Routing Model (mRM) through the standalone hydroland Python package in order to translate Climate DT forcing into hydrological states, runoff, routed streamflow, and derived indicators.
The application is co-designed with users from the German Technical and Scientific Association for Gas and Water (DVGW) and the European Environment Agency (EEA). Its main use cases are freshwater availability, drought and flood screening, and climate adaptation assessments for water management and agriculture.
Within the operational workflow, HydroLand reads Climate DT forcing from the GSV/OPA interface, optionally applies bias-adjusted precipitation and temperature, and executes a five-step chain consisting of initialisation, forcing preprocessing, mHM, mRM, and cleanup/restart management. The code base supports 0.1 and 0.05 degree configurations with daily or hourly execution. The current public guide focuses on the application workflow; an updated validation summary will be added in a forthcoming update.
Technical Description¶
HydroLand is designed as an operational command-line application with explicit steps for setup, preprocessing, simulation, routing, and cleanup. See the technical description page for the workflow, restart logic, forcing assumptions, and indicator chain.
Data portfolio¶
HydroLand produces gridded NetCDF products for land-surface hydrology and routed river discharge, together with downstream indicator products. The current code and cycle documents describe three main product groups:
mHM flux/state files for evapotranspiration, soil water content, and runoff;
mRM routed river discharge files (Qrouted);
indicator products for aridity, soil moisture deficit, discharge percentiles, flood events, and drought events.
Accessing the data¶
Note
Data for this application will become available on the DestinE Data Lake in a forthcoming update.
Scientific Evaluation¶
Note
Scientific evaluation for this application will be available in a forthcoming update.