Impact model: Simstrat

Sector
Lakes (local)
Region
local

Simstrat is a one-dimensional physical lake model for the simulation of stratification and mixing in deep stratified lakes. Including k-ε turbulence scheme, deep seiche mixing, ice- and river intrusion modules. Open source found here: https://github.com/Eawag-AppliedSystemAnalysis/Simstrat

Information for the model Simstrat 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
Damien Bouffard: damien.bouffard@eawag.ch, Swiss Federal Institute for Environmental Science and Technology (Eawag) (Switzerland)
Marjorie Perroud: marjorie.perroud@alpiq.com, University of Geneva (Switzerland)
Carl Love Mikael Råman Vinnå: love.ramanvinna@eawag.ch, Swiss Federal Institute for Environmental Science and Technology (Eawag) (Switzerland)
Martin Schmid: martin.schmid@eawag.ch, Swiss Federal Institute for Environmental Science and Technology (Eawag) (Switzerland)
Additional persons involved: love.ramanvinna@eawag.ch; Damien.Bouffard@eawag.ch; Martin.Schmid@eawag.ch;
Output Data
Experiments: I, II, III, VIII
Climate Drivers: None
Date: 2020-04-06
Basic information
Model Version: V 2.1.2
Model Output License: CC BY 4.0
Model Homepage: https://github.com/Eawag-AppliedSystemAnalysis/Simstrat
Model License: MIT License
Reference Paper: Main Reference: Goudsmit G, Burchard H, Peeters F, Wüest A et al. Application of k‐ϵ turbulence models to enclosed basins: The role of internal seiches. Journal of Geophysical Research: Oceans,107,,2003
Reference Paper: Other References:
Resolution
Spatial aggregation: lake
Additional spatial aggregation & resolution information: Lake shallower than 50 m : 0.5 m vertical lake model bins. Lake deeper than 50 m : 1 m vertical lake model bins
Temporal resolution of input data: climate variables: daily
Input data
Simulated atmospheric climate data sets used: IPSL-CM5A-LR, HadGEM2-ES, GFDL-ESM2M, MIROC5
Observed atmospheric climate data sets used: EWEMBI
Climate variables: huss, tas, uas, rlds, vas, rsds, ps, pr
Spin-up
Was a spin-up performed?: No
Spin-up design: Model considered to be spun up after 1 year.
Methods
Potential evapotranspiration: mass loss turned of, heat flux still on
Snow melt: heat flux based melt
Calibration
Was the model calibrated?: Yes
Which years were used for calibration?: 1971-2017
Which dataset was used for calibration?: EWEMBI
How many catchments were callibrated?: each lake