An R package for the calibration and verification of gridded models

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caliver is a package developed for the R programming language. The name stands for calIbration and verification of gridded models. Although caliver was initially designed for wildfire danger models such as GEFF (developed by ECMWF) and RISICO (developed by CIMA Research Foundation), the algorithms can be applied to any gridded model output. Caliver is available with an APACHE-2 license.

For more details, please see the following papers:

  • Vitolo C, Di Giuseppe F, D’Andrea M (2018) Caliver: An R package for CALIbration and VERification of forest fire gridded model outputs. PLOS ONE 13(1): e0189419. Please note: in the latest version of the caliver package many functionalities described in this paper have become obsolete and deprecated, please refer to the vignette “An introduction to the caliver package” for more details.

  • Vitolo C., Di Giuseppe F., Barnard C., Coughlan R., Krzeminski B., San-Miguel-Ayanz J. ERA5-based global meteorological wildfire danger maps. Sci Data 7, 216 (2020).

  • Vitolo C., Di Giuseppe F., Krzeminski B., San-Miguel-Ayanz J. A 1980–2018 global fire danger re-analysis dataset for the Canadian Fire Weather Indices, Sci Data 6, 190032 (2019).


The installation of the caliver package depends on the following libraries:

  • Geospatial Data Abstraction Library (GDAL)
  • NetCDF4 (netcdf4)

Make sure you have the above libraries installed before attempting to install caliver. Once all the dependencies are installed, get caliver’s development version from github using devtools:


Alternatively, the stable version of this package is available on CRAN and can be installed as shown below.


Load the package:


In this repository you find a Dockerfile that contains all the necessary dependencies and the caliver package already installed.

docker build -t ecmwf/caliver:latest -f Dockerfile .

Alternatively, you can use the image we host on docker hub:

docker run -it --rm ecmwf/caliver:latest bash