RavenR
is an R package for handling Raven hydrologic modelling framework inputs, outputs, and diagnostics.
The CRAN version of the package may also installed with:
You can also install the latest RavenR
version from github with:
if (!require(devtools)) install.packages("devtools")
library(devtools)
devtools::install_github("rchlumsk/RavenR")
The developmental version can be installed from the dev
branch with:
if (!require(devtools)) install.packages("devtools")
library(devtools)
devtools::install_github("rchlumsk/RavenR", ref="dev")
Please see the package vignette for an overview of the RavenR
package. Sample data is included in the package, so you need only to install the RavenR
library and follow along in the guide documents to get started.
The RavenR
vignette can be accessed with the browseVignettes
function.
To cite RavenR
in publications, please use the publication reference below.
Chlumsky, R., Craig, J. R., Lin, S. G. M., Grass, S., Scantlebury, L., Brown, G., and Arabzadeh, R.: RavenR v2.1.4: an open-source R package to support flexible hydrologic modelling, Geosci. Model Dev., 15, 7017–7030, https://doi.org/10.5194/gmd-15-7017-2022, 2022.
A BibTeX entry for LaTeX users is:
@Article{gmd-15-7017-2022,
title = { v2.1.4: an open-source R package to support flexible hydrologic modelling},
author = {Chlumsky, R. and Craig, J. R. and Lin, S. G. M. and Grass, S. and Scantlebury, L. and Brown, G. and Arabzadeh, R.},
journal = {Geoscientific Model Development},
volume = {15},
year = {2022},
number = {18},
pages = {7017–7030},
url = {https://gmd.copernicus.org/articles/15/7017/2022/},
doi = {10.5194/gmd-15-7017-2022}
}
citation("RavenR")
The RavenR
software itself can also be cited in publications, use:
Robert Chlumsky, James Craig, Leland Scantlebury, Simon Lin, Sarah Grass, Genevieve Brown and Rezgar Arabzadeh (2022). RavenR: Raven Hydrological Modelling Framework R Support and Analysis. R package version 2.1.9. https://github.com/rchlumsk/RavenR
A BibTeX entry for LaTeX users is:
@Manual{RavenRPackage,
title = {RavenR: Raven Hydrological Modelling Framework R Support and Analysis},
author = {Robert Chlumsky and James Craig and Leland Scantlebury and Simon Lin and Sarah Grass and Genevieve Brown and Rezgar Arabzadeh},
year = {2022},
note = {R package version 2.1.9},
url = {https://github.com/rchlumsk/RavenR},
doi = {10.5281/zenodo.3468441} }
Any issues or feature requests can be submitted on the Github Issues page as an issue, or discussed more openly on the new Github Discussions page.
Minor updates and new functionality, including:
rvn_csv_read
;rvn_rvp_calib_template
;rvn_rvi_commandupdate
;Minor updates and new functionality, including:
rvn_rvh_query
, rvn_met_recordplot
documentation.Minor updates and new functionality, including:
rvn_rvh_query
and rvn_rvh_summarize
for working with RVH files;rvn_monthly_vbias
to exclude months with missing days;Minor updates and bug fixes, including:
rvn_rvp_fill_template
for filling in rvp template files, rvn_met_recordplot
to show station record lengths;visNetwork
libraryrvn_run
with additional options, including adding rvi commands to the file before execution;rvn_rvi_write_template
;rvn_rvh_read
for splitting subbasin and HRU information in separate files, other minor improvements; andrvn_rvt_write
for writing initial start date with correct month code;Updates to a number of functions and new features implemented, including:
rvn_download
and rvn_run
to enable downloading and running Raven.exe within R;rvn_rvi_write_template
to write model rvi files from templates in the Raven manual;rvn_budyko_plot
to generate a budyko curve from model precip, AET, and PET;ggrepel
library in spacing labels, and addition of the DiagrammeR
library to support rvn_rvi_process_diagrammer
;rvn_budyko_plot
to generate a budyko curve from model precip, AET, and PET;rvn_met_interpolate
for performing inverse distance weighting interpolation to fill missing data values in meteorological data (works immediately with weathercan
downloads).Major updates to the package, including core package styling such as function case, naming conventions, and use of ggplot2 libraries for plotting. Some of these include:
RavenR.extras: Additional RavenR utilities.
Raven Hydrologic Modelling Framework: Robust and flexible Hydrologic Modelling Framework developd by Dr. James R. Craig at the University of Waterloo.