---
_id: '12230'
abstract:
- lang: eng
  text: 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.
article_number: '105101'
author:
- first_name: Tadhg N.
  full_name: Moore, Tadhg N.
  last_name: Moore
- first_name: Jorrit P.
  full_name: Mesman, Jorrit P.
  last_name: Mesman
- first_name: Robert
  full_name: Ladwig, Robert
  last_name: Ladwig
- first_name: Johannes
  full_name: Feldbauer, Johannes
  last_name: Feldbauer
- first_name: Freya
  full_name: Olsson, Freya
  last_name: Olsson
- first_name: Rachel M.
  full_name: Pilla, Rachel M.
  last_name: Pilla
- first_name: Tom
  full_name: Shatwell, Tom
  id: '86424'
  last_name: Shatwell
  orcid: 0000-0002-4520-7916
- first_name: Jason J.
  full_name: Venkiteswaran, Jason J.
  last_name: Venkiteswaran
- first_name: Austin D.
  full_name: Delany, Austin D.
  last_name: Delany
- first_name: Hilary
  full_name: Dugan, Hilary
  last_name: Dugan
- first_name: Kevin C.
  full_name: Rose, Kevin C.
  last_name: Rose
- first_name: Jordan S.
  full_name: Read, Jordan S.
  last_name: Read
citation:
  ama: 'Moore TN, Mesman JP, Ladwig R, et al. LakeEnsemblR: An R package that facilitates
    ensemble modelling of lakes. <i>Environmental modelling &#38; software with environment
    data news</i>. 2021;143. doi:<a href="https://doi.org/10.1016/j.envsoft.2021.105101">10.1016/j.envsoft.2021.105101</a>'
  apa: 'Moore, T. N., Mesman, J. P., Ladwig, R., Feldbauer, J., Olsson, F., Pilla,
    R. M., Shatwell, T., Venkiteswaran, J. J., Delany, A. D., Dugan, H., Rose, K.
    C., &#38; Read, J. S. (2021). LakeEnsemblR: An R package that facilitates ensemble
    modelling of lakes. <i>Environmental Modelling &#38; Software with Environment
    Data News</i>, <i>143</i>, Article 105101. <a href="https://doi.org/10.1016/j.envsoft.2021.105101">https://doi.org/10.1016/j.envsoft.2021.105101</a>'
  bjps: '<b>Moore TN <i>et al.</i></b> (2021) LakeEnsemblR: An R Package That Facilitates
    Ensemble Modelling of Lakes. <i>Environmental modelling &#38; software with environment
    data news</i> <b>143</b>.'
  chicago: 'Moore, Tadhg N., Jorrit P. Mesman, Robert Ladwig, Johannes Feldbauer,
    Freya Olsson, Rachel M. Pilla, Tom Shatwell, et al. “LakeEnsemblR: An R Package
    That Facilitates Ensemble Modelling of Lakes.” <i>Environmental Modelling &#38;
    Software with Environment Data News</i> 143 (2021). <a href="https://doi.org/10.1016/j.envsoft.2021.105101">https://doi.org/10.1016/j.envsoft.2021.105101</a>.'
  chicago-de: 'Moore, Tadhg N., Jorrit P. Mesman, Robert Ladwig, Johannes Feldbauer,
    Freya Olsson, Rachel M. Pilla, Tom Shatwell, u. a. 2021. LakeEnsemblR: An R package
    that facilitates ensemble modelling of lakes. <i>Environmental modelling &#38;
    software with environment data news</i> 143. doi:<a href="https://doi.org/10.1016/j.envsoft.2021.105101">10.1016/j.envsoft.2021.105101</a>,
    .'
  din1505-2-1: '<span style="font-variant:small-caps;"><span style="font-variant:small-caps;">Moore,
    Tadhg N.</span> ; <span style="font-variant:small-caps;">Mesman, Jorrit P.</span>
    ; <span style="font-variant:small-caps;">Ladwig, Robert</span> ; <span style="font-variant:small-caps;">Feldbauer,
    Johannes</span> ; <span style="font-variant:small-caps;">Olsson, Freya</span>
    ; <span style="font-variant:small-caps;">Pilla, Rachel M.</span> ; <span style="font-variant:small-caps;">Shatwell,
    Tom</span> ; <span style="font-variant:small-caps;">Venkiteswaran, Jason J.</span>
    ; u. a.</span>: LakeEnsemblR: An R package that facilitates ensemble modelling
    of lakes. In: <i>Environmental modelling &#38; software with environment data
    news</i> Bd. 143, Elsevier BV (2021)'
  havard: 'T.N. Moore, J.P. Mesman, R. Ladwig, J. Feldbauer, F. Olsson, R.M. Pilla,
    T. Shatwell, J.J. Venkiteswaran, A.D. Delany, H. Dugan, K.C. Rose, J.S. Read,
    LakeEnsemblR: An R package that facilitates ensemble modelling of lakes, Environmental
    Modelling &#38; Software with Environment Data News. 143 (2021).'
  ieee: 'T. N. Moore <i>et al.</i>, “LakeEnsemblR: An R package that facilitates ensemble
    modelling of lakes,” <i>Environmental modelling &#38; software with environment
    data news</i>, vol. 143, Art. no. 105101, 2021, doi: <a href="https://doi.org/10.1016/j.envsoft.2021.105101">10.1016/j.envsoft.2021.105101</a>.'
  mla: 'Moore, Tadhg N., et al. “LakeEnsemblR: An R Package That Facilitates Ensemble
    Modelling of Lakes.” <i>Environmental Modelling &#38; Software with Environment
    Data News</i>, vol. 143, 105101, 2021, <a href="https://doi.org/10.1016/j.envsoft.2021.105101">https://doi.org/10.1016/j.envsoft.2021.105101</a>.'
  short: T.N. Moore, J.P. Mesman, R. Ladwig, J. Feldbauer, F. Olsson, R.M. Pilla,
    T. Shatwell, J.J. Venkiteswaran, A.D. Delany, H. Dugan, K.C. Rose, J.S. Read,
    Environmental Modelling &#38; Software with Environment Data News 143 (2021).
  ufg: '<b>Moore, Tadhg N. u. a.</b>: LakeEnsemblR: An R package that facilitates
    ensemble modelling of lakes, in: <i>Environmental modelling &#38; software with
    environment data news</i> 143 (2021).'
  van: 'Moore TN, Mesman JP, Ladwig R, Feldbauer J, Olsson F, Pilla RM, et al. LakeEnsemblR:
    An R package that facilitates ensemble modelling of lakes. Environmental modelling
    &#38; software with environment data news. 2021;143.'
date_created: 2024-12-08T20:18:32Z
date_updated: 2024-12-09T11:27:54Z
department:
- _id: DEP8022
doi: 10.1016/j.envsoft.2021.105101
extern: '1'
intvolume: '       143'
keyword:
- Ensemble modeling
- Vertical one-dimensional lake model
- R package
- Calibration
- Thermal structure
- Hydrodynamics
language:
- iso: eng
main_file_link:
- url: https://doi.org/10.1016/j.envsoft.2021.105101
publication: Environmental modelling & software with environment data news
publication_identifier:
  eissn:
  - 1873-6726
  issn:
  - 1364-8152
publication_status: published
publisher: Elsevier BV
quality_controlled: '1'
status: public
title: 'LakeEnsemblR: An R package that facilitates ensemble modelling of lakes'
type: scientific_journal_article
user_id: '83781'
volume: 143
year: '2021'
...
---
_id: '12233'
abstract:
- lang: eng
  text: The thermal structure in reservoirs affects the development of aquatic ecosystems,
    and can be substantially influenced by climate change and management strategies.
    We applied a two-dimensional hydrodynamic model to explore the response of the
    thermal structure in Germany's largest drinking water reservoir, Rappbode Reservoir,
    to future climate projections and different water withdrawal strategies. We used
    projections for representative concentration pathways (RCP) 2.6, 6.0 and 8.5 from
    an ensemble of 4 different global climate models. Simulation results showed that
    epilimnetic water temperatures in the reservoir strongly increased under all three
    climate scenarios. Hypolimnetic temperatures remained rather constant under RCP
    2.6 and RCP 6.0 but increased markedly under RCP 8.5. Under the intense warming
    in RCP 8.5, hypolimnion temperatures were projected to rise from 5 °C to 8 °C
    by the end of the century. Stratification in the reservoir was projected to be
    more stable under RCP 6.0 and RCP 8.5, but did not show significant changes under
    RCP 2.6. Similar results were found with respect to the light intensity within
    the mixed-layer. Moreover, the results suggested that surface withdrawal can be
    an effective adaptation strategy under strong climate warming (RCP 8.5) to reduce
    surface warming and avoid hypolimnetic warming. This study documents how global
    scale climate projections can be translated into site-specific climate impacts
    to derive adaptation strategies for reservoir operation. Moreover, our results
    illustrate that the most intense warming scenario, i.e. RCP 8.5, demands far-reaching
    climate adaptation while the mitigation scenario (RCP 2.6) does not require adaptation
    of reservoir management before 2100.
article_number: '141366'
author:
- first_name: Chenxi
  full_name: Mi, Chenxi
  last_name: Mi
- first_name: Tom
  full_name: Shatwell, Tom
  id: '86424'
  last_name: Shatwell
  orcid: 0000-0002-4520-7916
- first_name: Jun
  full_name: Ma, Jun
  last_name: Ma
- first_name: Yaqian
  full_name: Xu, Yaqian
  last_name: Xu
- first_name: Fangli
  full_name: Su, Fangli
  last_name: Su
- first_name: Karsten
  full_name: Rinke, Karsten
  last_name: Rinke
citation:
  ama: 'Mi C, Shatwell T, Ma J, Xu Y, Su F, Rinke K. Ensemble warming projections
    in Germany’s largest drinking water reservoir and potential adaptation strategies.
    <i>The science of the total environment : an international journal for scientific
    research into the environment and its relationship with man</i>. 2020;748(12).
    doi:<a href="https://doi.org/10.1016/j.scitotenv.2020.141366">10.1016/j.scitotenv.2020.141366</a>'
  apa: 'Mi, C., Shatwell, T., Ma, J., Xu, Y., Su, F., &#38; Rinke, K. (2020). Ensemble
    warming projections in Germany’s largest drinking water reservoir and potential
    adaptation strategies. <i>The Science of the Total Environment : An International
    Journal for Scientific Research into the Environment and Its Relationship with
    Man</i>, <i>748</i>(12), Article 141366. <a href="https://doi.org/10.1016/j.scitotenv.2020.141366">https://doi.org/10.1016/j.scitotenv.2020.141366</a>'
  bjps: '<b>Mi C <i>et al.</i></b> (2020) Ensemble Warming Projections in Germany’s
    Largest Drinking Water Reservoir and Potential Adaptation Strategies. <i>The science
    of the total environment : an international journal for scientific research into
    the environment and its relationship with man</i> <b>748</b>.'
  chicago: 'Mi, Chenxi, Tom Shatwell, Jun Ma, Yaqian Xu, Fangli Su, and Karsten Rinke.
    “Ensemble Warming Projections in Germany’s Largest Drinking Water Reservoir and
    Potential Adaptation Strategies.” <i>The Science of the Total Environment : An
    International Journal for Scientific Research into the Environment and Its Relationship
    with Man</i> 748, no. 12 (2020). <a href="https://doi.org/10.1016/j.scitotenv.2020.141366">https://doi.org/10.1016/j.scitotenv.2020.141366</a>.'
  chicago-de: 'Mi, Chenxi, Tom Shatwell, Jun Ma, Yaqian Xu, Fangli Su und Karsten
    Rinke. 2020. Ensemble warming projections in Germany’s largest drinking water
    reservoir and potential adaptation strategies. <i>The science of the total environment :
    an international journal for scientific research into the environment and its
    relationship with man</i> 748, Nr. 12. doi:<a href="https://doi.org/10.1016/j.scitotenv.2020.141366">10.1016/j.scitotenv.2020.141366</a>,
    .'
  din1505-2-1: '<span style="font-variant:small-caps;">Mi, Chenxi</span> ; <span style="font-variant:small-caps;">Shatwell,
    Tom</span> ; <span style="font-variant:small-caps;">Ma, Jun</span> ; <span style="font-variant:small-caps;">Xu,
    Yaqian</span> ; <span style="font-variant:small-caps;">Su, Fangli</span> ; <span
    style="font-variant:small-caps;">Rinke, Karsten</span>: Ensemble warming projections
    in Germany’s largest drinking water reservoir and potential adaptation strategies.
    In: <i>The science of the total environment : an international journal for scientific
    research into the environment and its relationship with man</i> Bd. 748. Amsterdam,
    Elsevier BV (2020), Nr. 12'
  havard: 'C. Mi, T. Shatwell, J. Ma, Y. Xu, F. Su, K. Rinke, Ensemble warming projections
    in Germany’s largest drinking water reservoir and potential adaptation strategies,
    The Science of the Total Environment : An International Journal for Scientific
    Research into the Environment and Its Relationship with Man. 748 (2020).'
  ieee: 'C. Mi, T. Shatwell, J. Ma, Y. Xu, F. Su, and K. Rinke, “Ensemble warming
    projections in Germany’s largest drinking water reservoir and potential adaptation
    strategies,” <i>The science of the total environment : an international journal
    for scientific research into the environment and its relationship with man</i>,
    vol. 748, no. 12, Art. no. 141366, 2020, doi: <a href="https://doi.org/10.1016/j.scitotenv.2020.141366">10.1016/j.scitotenv.2020.141366</a>.'
  mla: 'Mi, Chenxi, et al. “Ensemble Warming Projections in Germany’s Largest Drinking
    Water Reservoir and Potential Adaptation Strategies.” <i>The Science of the Total
    Environment : An International Journal for Scientific Research into the Environment
    and Its Relationship with Man</i>, vol. 748, no. 12, 141366, 2020, <a href="https://doi.org/10.1016/j.scitotenv.2020.141366">https://doi.org/10.1016/j.scitotenv.2020.141366</a>.'
  short: 'C. Mi, T. Shatwell, J. Ma, Y. Xu, F. Su, K. Rinke, The Science of the Total
    Environment : An International Journal for Scientific Research into the Environment
    and Its Relationship with Man 748 (2020).'
  ufg: '<b>Mi, Chenxi u. a.</b>: Ensemble warming projections in Germany’s largest
    drinking water reservoir and potential adaptation strategies, in: <i>The science
    of the total environment : an international journal for scientific research into
    the environment and its relationship with man</i> 748 (2020), H. 12.'
  van: 'Mi C, Shatwell T, Ma J, Xu Y, Su F, Rinke K. Ensemble warming projections
    in Germany’s largest drinking water reservoir and potential adaptation strategies.
    The science of the total environment : an international journal for scientific
    research into the environment and its relationship with man. 2020;748(12).'
date_created: 2024-12-08T20:23:26Z
date_updated: 2024-12-09T11:18:40Z
department:
- _id: DEP8022
doi: 10.1016/j.scitotenv.2020.141366
extern: '1'
intvolume: '       748'
issue: '12'
keyword:
- Rappbode Reservoir
- Thermal structure
- Climate change
- CE-QUAL-W2
- Selective water withdrawal
language:
- iso: eng
main_file_link:
- url: https://doi.org/10.1016/j.scitotenv.2020.141366
place: Amsterdam
publication: 'The science of the total environment : an international journal for
  scientific research into the environment and its relationship with man'
publication_identifier:
  eissn:
  - 1879-1026
  issn:
  - 0048-9697
publication_status: published
publisher: Elsevier BV
quality_controlled: '1'
status: public
title: Ensemble warming projections in Germany's largest drinking water reservoir
  and potential adaptation strategies
type: scientific_journal_article
user_id: '83781'
volume: 748
year: '2020'
...