SeaVal: Validation of Seasonal Weather Forecasts

Provides tools for processing and evaluating seasonal weather forecasts, with an emphasis on tercile forecasts. We follow the World Meteorological Organization's "Guidance on Verification of Operational Seasonal Climate Forecasts", S.J.Mason (2018, ISBN: 978-92-63-11220-0, URL: <https://library.wmo.int/idurl/4/56227>). The development was supported by the European Union’s Horizon 2020 research and innovation programme under grant agreement no. 869730 (CONFER). A comprehensive online tutorial is available at <http://files.nr.no/samba/CONFER/SeaVal/>.

Version: 1.1.1
Depends: R (≥ 2.10), data.table, ggplot2
Imports: ggplotify, lifecycle, maps, ncdf4, patchwork, RColorBrewer, scales
Published: 2023-11-25
Author: Claudio Heinrich-Mertsching ORCID iD [aut, cre, cph], Celine Cunen [ctb], Michael Scheuerer [ctb]
Maintainer: Claudio Heinrich-Mertsching <claudio at nr.no>
License: GPL (≥ 3)
URL: http://files.nr.no/samba/CONFER/SeaVal/, https://github.com/SeasonalForecastingEngine/SeaVal
NeedsCompilation: no
Materials: README NEWS
CRAN checks: SeaVal results

Documentation:

Reference manual: SeaVal.pdf

Downloads:

Package source: SeaVal_1.1.1.tar.gz
Windows binaries: r-devel: SeaVal_1.1.1.zip, r-release: SeaVal_1.1.1.zip, r-oldrel: SeaVal_1.1.1.zip
macOS binaries: r-release (arm64): SeaVal_1.1.1.tgz, r-oldrel (arm64): SeaVal_1.1.1.tgz, r-release (x86_64): SeaVal_1.1.1.tgz, r-oldrel (x86_64): SeaVal_1.1.1.tgz
Old sources: SeaVal archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=SeaVal to link to this page.