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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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 |
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Open Polar |
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Copernicus Publications: E-Journals |
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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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1766063569431953408 |