Impact model: HydroPy

HydroPy is a global hydrological model combining hydrological land surface processes and river routing. It is based on the older Max Planck Institut for Meteorology's Hydrology Model (MPI-HM, used in in simulation rounds prior to ISIMIP3a/3b), however it is fully revised and written in Python.

Sector
Water (global)
Region
global

Information for the model HydroPy is provided for the simulation rounds shown in the tabs below. Click on the appropriate tab to get the information for the simulation round you are interested in.

Person responsible for model simulations in this simulation round
Tobias Stacke: tobias.stacke@mpimet.mpg.de, 0000-0003-4637-5337, Max Planck Institute for Meteorology (Germany)
Output Data
Experiments: obsclim_1901soc_default, counterclim_1901soc_default, obsclim_2015soc_default, counterclim_histsoc_default, obsclim_histsoc_default, counterclim_2015soc_default
Climate Drivers: GSWP3-W5E5
Date: 2022-03-22
Basic information
Model Version: 1.0.1 - ISIMIP
Model Output License: CC0
Model Homepage: https://doi.org/10.5281/zenodo.4541380
Model License: GNU GPLv3
Simulation Round Specific Description: The standard model is modified to include land cover changes and irrigation.
Reference Paper: Main Reference: Tobias Stacke & Stefan Hagemann et al. HydroPy (v1.0): A new global hydrology model written in Python. Geosci. Model Dev.,14,7795–7816,2021
Resolution
Spatial Aggregation: regular grid
Spatial Resolution: 0.5°x0.5°
Additional Spatial Aggregation & Resolution Information: some processes are using sub-grid scaling
Temporal Resolution Of Input Data: Climate Variables: daily
Temporal Resolution Of Input Data: Land Use/Land Cover: annual
Temporal Resolution Of Input Data: Soil: constant
Additional Temporal Resolution Information: HydroPy is run with an internal time step of 1 day, except for river routing computation with is done with 4 subtimesteps, e.g. every 6 hours.
Input data sets used
Observed Atmospheric Climate Data Sets Used: GSWP3-W5E5 (ISIMIP3a)
Land Use Data Sets Used: Historical, gridded land use
Other Data Sets Used: Land-sea mask
Climate Variables: huss, tas, rlds, rsds, ps, pr
Additional Information About Input Variables: Huss, rlds, rsds, wind, and ps are used prior in a preprocessing step to compute potential evaporation based on Penman Monteith reference evaporation. During runtime the model uses tas, pr and PET as input variables.
Additional Input Data Sets: Land surface parameter dataset 3 (LSP3)
Spin-up
Was A Spin-Up Performed?: Yes
Spin-Up Design: Spinclim data for the respective forcing datasets were used for the period 1891-1900 to initialize model states.
Technological Progress
Technological Progress: No
Soil
Soil Layers: Bucket type soil scheme. One soil layer corresponding to the field capacity is used.
Water Use
Water-Use Types: Irrigation
Water-Use Sectors: Irrigation
Routing
Runoff Routing: Linear reservoir cascade with routing to one of the eight neighbouring grid cells
Routing Data: DDM30
Land Use
Land-Use Change Effects: Chances in crop fraction
Dams & Reservoirs
Dam And Reservoir Implementation: They aren't (yet)
Methods
Potential Evapotranspiration: Penman Monteith reference evaporation
Snow Melt: day degree scheme