Impact model: GOTM-LER

GOTM-LER

GOTM (General Ocean Turbulence Model) is a one-dimensional hydrodynamic lake and ocean model, which simulates vertical profiles of, for example, water temperature and turbulent diffusivity. GOTM-LER refers to the lake-version of the model, which includes parameterisation of the lake bathymetry, and is the version of GOTM that is incorporated in the GOTMr 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: GOTM-5.3 (lake branch)

Model Output License: CC0

Model Homepage: https://gotm.net/portfolio/

Model License: GPL-2.0

Reference Paper: Main Reference: Burchard H, Bolding K, Kühn W, Meister A, Neumann T, Umlauf L et al. Description of a flexible and extendable physical–biogeochemical model system for the water column. Journal of Marine Systems,61,180-211,2006

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

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