LakeEnsemblR: An R package that facilitates ensemble modelling of lakes
Research output: Contribution to journal › Research article › Contributed › peer-review
Contributors
Abstract
Model ensembles have several benefits compared to single-model applications but are not frequently used within the lake modelling community. Setting up and running multiple lake models can be challenging and time consuming, despite the many similarities between the existing models (forcing data, hypsograph, etc.). Here we present an R package, LakeEnsemblR, that facilitates running ensembles of five different vertical one-dimensional hydrodynamic lake models (FLake, GLM, GOTM, Simstrat, MyLake). The package requires input in a standardised format and a single configuration file. LakeEnsemblR formats these files to the input required by each model, and provides functions to run and calibrate the models. The outputs of the different models are compiled into a single file, and several post-processing operations are supported. LakeEnsemblR's workflow standardisation can simplify model benchmarking and uncertainty quantification, and improve collaborations between scientists. We showcase the successful application of LakeEnsemblR for two different lakes.
Details
Original language | English |
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Article number | 105101 |
Journal | Environmental Modelling and Software |
Volume | 143 |
Publication status | Published - Sept 2021 |
Peer-reviewed | Yes |
Keywords
ASJC Scopus subject areas
Keywords
- Calibration, Ensemble modeling, Hydrodynamics, R package, Thermal structure, Vertical one-dimensional lake model