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StormR is an R package allowing to easily extract storm track data for given locations or areas of interests, to generate wind speed and direction fields, and to compute summary statistics characterising the behaviour of winds generated by tropical storms and cyclones: maximum sustained wind speed, power dissipation index, and duration of exposure to winds reaching defined speed thresholds.
Usage
Installing StormR
StormR is now available on CRAN on version 0.2.1.
You can install it as follows:
install.packages("StormR")
The latest development version can be installed from GitHub as follows,
Alternatively, you can install StormR using conda / mamba. Check here for more info.
conda config --add channels conda-forge # make sure you add conda-forge to your channel list
conda config --set channel_priority strict
conda install r-stormr # or mamba install r-stormr
Loading StormR package
library(StormR)
Main functions
Name
Description
Inputs
Outputs
defStormsDataset()
Creates a stormsDataset object
".nc" (NetCDF) file
stormsDataset object
defStormsList()
Extracts storms
stormsDataset object
stormsList object
plotStorms()
Plots storms track data
stormsList object
temporalBehaviour()
Computes wind speed, direction time series, and summary statistics for a given set of point coordinates
stormsList object
lists of data.frame objects
spatialBehaviour()
Computes 2D wind fields and summary statistics over a given location of interest
stormsList object
SpatRaster object
plotBehaviour()
Plots 2D wind fields and summary statistics
stormsList + SpatRaster objects
writeRast()
Exports wind fields and summary statistics to file
SpatRaster object
.tiff or .nc file
Contributing
You are welcome to contribute to the StormR package. Just fork the project and create a pull request with your changes and we will review it as soon as possible.
Reporting issues
Issues can be reported here. Simply choose the appropriate template and fill in the requested information.
Seeking help
If you need help with the StormR package, please open a new discussion on the Q&A section on github. We will do our best to answer your questions. Other users are also welcome to help you.
Funding
This work was supported by Hermon Slade Foundation, grant HSF 19105.
About
Funtions to quantify and map the tropical storms and cyclones’ winds characteristics'