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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Main Authors: Chlumsky, Robert, Craig, James R, Lin, Simon GM, Grass, Sarah, Scantlebury, Leland, Brown, Genevieve, Arabzadeh, Rezgar
Format: Article in Journal/Newspaper
Language:unknown
Published: eScholarship, University of California 2022
Subjects:
Online Access:https://escholarship.org/uc/item/0r06c34n
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spelling ftcdlib:oai:escholarship.org:ark:/13030/qt0r06c34n 2023-11-12T04:20:40+01:00 RavenR v2.1.4: an open-source R package to support flexible hydrologic modelling Chlumsky, Robert Craig, James R Lin, Simon GM Grass, Sarah Scantlebury, Leland Brown, Genevieve Arabzadeh, Rezgar 7017 - 7030 2022-01-01 application/pdf https://escholarship.org/uc/item/0r06c34n unknown eScholarship, University of California qt0r06c34n https://escholarship.org/uc/item/0r06c34n CC-BY-ND Geoscientific Model Development, vol 15, iss 18 Earth Sciences article 2022 ftcdlib 2023-10-16T18:05:06Z 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 RavenR 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 RavenR 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 RavenR 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 RavenR functions included with the package distribution itself. It is anticipated that the RavenR package will continue to evolve with the Raven project and will provide a useful tool to new and experienced users of Raven alike. Article in Journal/Newspaper Liard River University of California: eScholarship Canada Liard ENVELOPE(-67.417,-67.417,-66.850,-66.850)
institution Open Polar
collection University of California: eScholarship
op_collection_id ftcdlib
language unknown
topic Earth Sciences
spellingShingle Earth Sciences
Chlumsky, Robert
Craig, James R
Lin, Simon GM
Grass, Sarah
Scantlebury, Leland
Brown, Genevieve
Arabzadeh, Rezgar
RavenR v2.1.4: an open-source R package to support flexible hydrologic modelling
topic_facet Earth Sciences
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 RavenR 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 RavenR 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 RavenR 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 RavenR functions included with the package distribution itself. It is anticipated that the RavenR package will continue to evolve with the Raven project and will provide a useful tool to new and experienced users of Raven alike.
format Article in Journal/Newspaper
author Chlumsky, Robert
Craig, James R
Lin, Simon GM
Grass, Sarah
Scantlebury, Leland
Brown, Genevieve
Arabzadeh, Rezgar
author_facet Chlumsky, Robert
Craig, James R
Lin, Simon GM
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
publisher eScholarship, University of California
publishDate 2022
url https://escholarship.org/uc/item/0r06c34n
op_coverage 7017 - 7030
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 Geoscientific Model Development, vol 15, iss 18
op_relation qt0r06c34n
https://escholarship.org/uc/item/0r06c34n
op_rights CC-BY-ND
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