Impact model: GLM

Sector
Lakes (local)
Region
local

The General Lake Model (GLM) is a one dimensional
open-source code designed to simulate the hydrodynamics
of lakes, reservoirs, and wetlands. It includes sub-models that simulate surface heat exchange and ice cover dynamics, vertical mixing, and inflow–outflow dynamics.

Information for the model GLM 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
Klaus Joehnk: Klaus.Joehnk@csiro.au, CSIRO (Australia)
Robert Ladwig: ladwigjena@gmail.com, Center for Limnology, University of Wisconsin-Madison (USA)
Additional persons involved: Tadhg Moore
Output Data
Experiments: I, II, III, VIII
Climate Drivers: None
Date: 2019-11-12
Basic information
Model Version: GLM v3
Simulation Round Specific Description: * Data in embargo period, not yet publicly available. Simulating 60 well studied lakes.
Reference Paper: Main Reference: Hipsey M, Bruce L, Boon C, Busch B, Carey C, Hamilton D, Hanson P, Read J, de Sousa E, Weber M, Winslow L et al. A General Lake Model (GLM 3.0) for linking with high-frequency sensor data from the Global Lake Ecological Observatory Network (GLEON). Geoscientific Model Development,12,473-523,2019
Resolution
Spatial aggregation: lake
Horizontal resolution: 0.5°x0.5°
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: sfcWind, tas, rlds, rhs, rsds, prsn, pr
Spin-up
Was a spin-up performed?: Yes
Spin-up design: Three years of data were appended to the beginning of the meteorological forcing data and used to spin up the model.
Extreme Events & Disturbances
Key challenges: Extreme events tend to occur on a temporal scale shorter than one day so using forcing data at a daily timestep makes it difficult to capture such events.
Calibration
Was the model calibrated?: Yes
Which years were used for calibration?: 1979-2016
Which dataset was used for calibration?: EWEMBI
How many catchments were callibrated?: 60 lakes