LakeEnsemblR: An R package that facilitates ensemble modelling of lakes

This is a Preprint and has not been peer reviewed. This is version 1 of this Preprint.

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Authors

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 S. Read

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 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 files 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, sharing of output files, and improve collaborations between aquatic scientists. We showcase the successful application of LakeEnsemblR for two different lakes.

DOI

https://doi.org/10.31223/X55C8S

Subjects

Fresh Water Studies, Hydrology, Numerical Analysis and Scientific Computing, Water Resource Management

Keywords

R package, Ensemble modeling, One-dimensional lake model, Thermal structure

Dates

Published: 2021-01-06 20:16

License

CC BY Attribution 4.0 International

Additional Metadata

Conflict of interest statement:
None

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