Impact model: Simstrat

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

ISIMIP2b

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: Gaudard A, Råman Vinnå, L, Bärenbold F, Schmid M, Bouffard D et al. Toward an open-access of high-frequency lake modelling and statistics data for scientists and practitioners. The case of Swiss Lakes using Simstrat v2.1. Geoscientific Model Development,12,3955-3974,2019

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