LakeEnsemblR: An R package that facilitates ensemble modelling of lakes

Tadhg N. Moore; Jorrit P. Mesman; Robert Ladwig; Johannes Feldbauer; Freya Olsson; Rachel M. Pilla; Tom Shatwell; Jason J. Venkiteswaran; Austin D. Delany; Hilary Dugan; Kevin C. Rose; Jordan Read

doi:10.1016/j.envsoft.2021.105101

LakeEnsemblR: An R package that facilitates ensemble modelling of lakes

Environmental Modelling & Software

By: Tadhg N. Moore, Jorrit P. Mesman, Robert Ladwig, Johannes Feldbauer, Freya Olsson, Rachel M. Pilla, Tom Shatwell, Jason J. Venkiteswaran, Austin D. Delany, Hilary Dugan, Kevin C. Rose, and Jordan Read

https://doi.org/10.1016/j.envsoft.2021.105101

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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.

Suggested Citation

Moore, T.N., Mesman, J., Ladwig, R., Feldbauer, J., Olsson, F., Pilla, R.M., Shatwell, T., Venkiteswaran, J.J., Delany, A.D., Dugan, H., Rose, K.C., and Read, J., 2021, LakeEnsemblR: An R package that facilitates ensemble modelling of lakes: Environmental Modelling & Software, v. 143, 105101, 14 p., https://doi.org/10.1016/j.envsoft.2021.105101.

Additional publication details
Publication type	Article
Publication Subtype	Journal Article
Title	LakeEnsemblR: An R package that facilitates ensemble modelling of lakes
Series title	Environmental Modelling & Software
DOI	10.1016/j.envsoft.2021.105101
Volume	143
Year Published	2021
Language	English
Publisher	Elsevier
Contributing office(s)	WMA - Integrated Information Dissemination Division
Description	105101, 14 p.