RavenR v2.1.4: an open-source R package to support flexible hydrologic modelling

In recent decades, advances in the flexibility and complexity of hydrologic models have enhanced their utility in scientific studies and practice alike. However, the increasing complexity of these tools leads to a number of challenges, including steep learning curves for new users and issues regardi...

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Published in:Geoscientific Model Development
Main Authors: Chlumsky, Robert, Craig, James R., Lin, Simon G. M., Grass, Sarah, Scantlebury, Leland, Brown, Genevieve, Arabzadeh, Rezgar
Format: Text
Language:English
Published: 2022
Subjects:
Online Access:https://doi.org/10.5194/gmd-15-7017-2022
https://gmd.copernicus.org/articles/15/7017/2022/
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spelling ftcopernicus:oai:publications.copernicus.org:gmd98142 2023-05-15T17:08:01+02:00 RavenR v2.1.4: an open-source R package to support flexible hydrologic modelling Chlumsky, Robert Craig, James R. Lin, Simon G. M. Grass, Sarah Scantlebury, Leland Brown, Genevieve Arabzadeh, Rezgar 2022-09-16 application/pdf https://doi.org/10.5194/gmd-15-7017-2022 https://gmd.copernicus.org/articles/15/7017/2022/ eng eng doi:10.5194/gmd-15-7017-2022 https://gmd.copernicus.org/articles/15/7017/2022/ eISSN: 1991-9603 Text 2022 ftcopernicus https://doi.org/10.5194/gmd-15-7017-2022 2022-09-19T16:22:54Z In recent decades, advances in the flexibility and complexity of hydrologic models have enhanced their utility in scientific studies and practice alike. However, the increasing complexity of these tools leads to a number of challenges, including steep learning curves for new users and issues regarding the reproducibility of modelling studies. Here, we present the <code>RavenR</code> package, an R package that leverages the power of scripting to both enhance the usability of the Raven hydrologic modelling framework and provide complementary analyses that are useful for modellers. The <code>RavenR</code> package contains functions that may be useful in each step of the model-building process, particularly for preparing input files and analyzing model outputs. The utility of the <code>RavenR</code> package is demonstrated with the presentation of six use cases for a model of the Liard River basin in Canada. These use cases provide examples of visually reviewing the model configuration, preparing input files for observation and forcing data, simplifying the model discretization, performing realism checks on the model output, and evaluating the performance of the model. All of the use cases are fully reproducible, with additional reproducible examples of <code>RavenR</code> functions included with the package distribution itself. It is anticipated that the <code>RavenR</code> package will continue to evolve with the Raven project and will provide a useful tool to new and experienced users of Raven alike. Text Liard River Copernicus Publications: E-Journals Canada Liard ENVELOPE(-67.417,-67.417,-66.850,-66.850) Geoscientific Model Development 15 18 7017 7030
institution Open Polar
collection Copernicus Publications: E-Journals
op_collection_id ftcopernicus
language English
description In recent decades, advances in the flexibility and complexity of hydrologic models have enhanced their utility in scientific studies and practice alike. However, the increasing complexity of these tools leads to a number of challenges, including steep learning curves for new users and issues regarding the reproducibility of modelling studies. Here, we present the <code>RavenR</code> package, an R package that leverages the power of scripting to both enhance the usability of the Raven hydrologic modelling framework and provide complementary analyses that are useful for modellers. The <code>RavenR</code> package contains functions that may be useful in each step of the model-building process, particularly for preparing input files and analyzing model outputs. The utility of the <code>RavenR</code> package is demonstrated with the presentation of six use cases for a model of the Liard River basin in Canada. These use cases provide examples of visually reviewing the model configuration, preparing input files for observation and forcing data, simplifying the model discretization, performing realism checks on the model output, and evaluating the performance of the model. All of the use cases are fully reproducible, with additional reproducible examples of <code>RavenR</code> functions included with the package distribution itself. It is anticipated that the <code>RavenR</code> package will continue to evolve with the Raven project and will provide a useful tool to new and experienced users of Raven alike.
format Text
author Chlumsky, Robert
Craig, James R.
Lin, Simon G. M.
Grass, Sarah
Scantlebury, Leland
Brown, Genevieve
Arabzadeh, Rezgar
spellingShingle Chlumsky, Robert
Craig, James R.
Lin, Simon G. M.
Grass, Sarah
Scantlebury, Leland
Brown, Genevieve
Arabzadeh, Rezgar
RavenR v2.1.4: an open-source R package to support flexible hydrologic modelling
author_facet Chlumsky, Robert
Craig, James R.
Lin, Simon G. M.
Grass, Sarah
Scantlebury, Leland
Brown, Genevieve
Arabzadeh, Rezgar
author_sort Chlumsky, Robert
title RavenR v2.1.4: an open-source R package to support flexible hydrologic modelling
title_short RavenR v2.1.4: an open-source R package to support flexible hydrologic modelling
title_full RavenR v2.1.4: an open-source R package to support flexible hydrologic modelling
title_fullStr RavenR v2.1.4: an open-source R package to support flexible hydrologic modelling
title_full_unstemmed RavenR v2.1.4: an open-source R package to support flexible hydrologic modelling
title_sort ravenr v2.1.4: an open-source r package to support flexible hydrologic modelling
publishDate 2022
url https://doi.org/10.5194/gmd-15-7017-2022
https://gmd.copernicus.org/articles/15/7017/2022/
long_lat ENVELOPE(-67.417,-67.417,-66.850,-66.850)
geographic Canada
Liard
geographic_facet Canada
Liard
genre Liard River
genre_facet Liard River
op_source eISSN: 1991-9603
op_relation doi:10.5194/gmd-15-7017-2022
https://gmd.copernicus.org/articles/15/7017/2022/
op_doi https://doi.org/10.5194/gmd-15-7017-2022
container_title Geoscientific Model Development
container_volume 15
container_issue 18
container_start_page 7017
op_container_end_page 7030
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