Software · October 2025 · Vol. 1 No. 1
metR: analysis and visualisation of meteorological fields
Bringing atmospheric science into the tidy R workflow
Author
In brief
Meteorological analysis needs specialised tools, but domain-specific data structures isolate the work from the wider statistical software community. metR bridges that gap, reading meteorological data as tidy data frames and extending ggplot2 with the geoms, stats and scales that atmospheric science actually requires.
“The package bridges the gap between domain-specific meteorological tools and the broader R data science ecosystem.”
What the article covers
- ReadNetCDF returns tidy data tables with index-based, value-based and disjoint subsetting.
- Empirical orthogonal functions, spherical derivatives, geostrophic wind and thermodynamic functions.
- Contour filling with kriging interpolation, circular boundaries and on-the-fly reprojection; streamlines and arrows for vector fields.
- A worked example computing the Southern Annular Mode in eighteen lines.
Read the article
Pages 19–20 of Vol. 1 No. 1, October 2025. Free to read, no registration.
How to cite
Elio Campitelli. “metR: analysis and visualisation of meteorological fields.” vISIon: The ISI Magazine Vol. 1 No. 1, October 2025, pp. 19–20.