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.

ISIMIP3a

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: counterclim_histsoc_default, counterclim_1901soc_default, obsclim_histsoc_default, obsclim_2015soc_default, counterclim_2015soc_default, obsclim_1901soc_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

Horizontal 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

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

Additional input data sets: Land surface parameter dataset 3 (LSP3)

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.

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)

Calibration

Was the model calibrated?: No

Vegetation

Is co2 fertilisation accounted for?: No

Methods

Potential evapotranspiration: Penman Monteith reference evaporation

Snow melt: day degree scheme