Impact model: FLake-LER

FLake is a bulk one-dimensional hydrodynamic lake model, representing lake thermal structure as two separate layers: an upper well-mixed layer and a lower stratified layer. FLake-LER is the version of FLake that is incorporated in the FLakeR R package, and is run as part of an ensemble by the LakeEnsemblR (LER) package.

ISIMIP3b

Person responsible for model simulations in this simulation round

Johannes Feldbauer: johannes.feldbauer@tu-dresden.de, 0000-0002-8238-5375, Institute of Hydrobiology, TU Dresden (Germany)

Jorrit Mesman: jorrit.mesman@ebc.uu.se, 0000-0002-4319-260X, Evolutionary Biology Centre, Uppsala University (Sweden)

Output Data

Experiments: ssp370_2015soc_default, ssp126_2015soc_default, ssp585_2015soc_default, historical_2015soc_default, picontrol_2015soc_default
Climate Drivers: GFDL-ESM4, IPSL-CM6A-LR, MPI-ESM1-2-HR, MRI-ESM2-0, UKESM1-0-LL
Date: 2023-09-27

Basic information

Model Version: FLake-2019

Model Output License: CC0

Model Homepage: http://www.flake.igb-berlin.de/site/download

Model License: MIT

Simulation Round Specific Description: According to FLake model assumptions, the ISIMIP simulations are run using the mean depth of each lake, which explains why the maximum depth in FLake simulations is shallower than that in other models within LakeEnsemblR.

Reference Paper: Main Reference: Mironov D et al. Parameterization of lakes in numerical weather prediction. Description of a lake modelCOSMO Technical Report No. 11, Deutscher Wetterdienst,None,,2008

Reference Paper: Other References: Moore T, Mesman J, Ladwig R, Feldbauer J, Olsson F, Pilla R, Shatwell T, Venkiteswaran J, Delany A, Dugan H, Rose K, Read J et al. LakeEnsemblR: An R package that facilitates ensemble modelling of lakes. Environmental Modelling & Software,143,105101,2021

Resolution

Spatial aggregation: lake

Horizontal resolution: The model was applied to specific case study lakes, forced with meteorology for the 0.5 x 0.5 degree grid cell in which the respective lake is located

Vertically resolved: Yes

Number of vertical layers: Layers of fixed thickness, variable per lake

Additional spatial aggregation & resolution information: The original FLake model simulates only two layers (surface and, if stratified, deep). Within the LakeEnsemblR framework, output is calculated for specific depths using an assumed shape (self-similarity).

Temporal resolution of input data: climate variables: daily

Input data

Simulated atmospheric climate data sets used: MRI-ESM2-0, IPSL-CM6A-LR, MPI-ESM1-2-HR, UKESM1-0-LL, GFDL-ESM4

Other data sets used: Lakes static information

Climate variables: hurs, sfcWind, tas, rlds, rsds, ps, pr

Spin-up

Was a spin-up performed?: Yes

Spin-up design: First year of meteorological forcing was repeated and placed before simulation period. Only exceptions were lakes Kivu (5 years) and Tahoe (30 years), due to their large depth. In these cases, the first 5 years were repeated multiple times, to avoid creating a climatic trend before start of the actual simulation.

Vegetation

Is co2 fertilisation accounted for?: No

Calibration

Was the model calibrated?: Yes

Which years were used for calibration?: All years for which water temperature observations were provided, were used for calibration. This amount differed per lake.

Which dataset was used for calibration?: GSWP3-W5E5