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 Unionâs Horizon 2020 research and innovation programme under grant agreement no. 869730 (CONFER). A comprehensive online tutorial is available at <https://seasonalforecastingengine.github.io/SeaValDoc/>.
Version: 1.2.0 Depends: R (≥ 2.10), data.table, ggplot2 Imports: ggnewscale, ggplotify, lifecycle, maps, ncdf4, patchwork, RColorBrewer, scales, stringr Published: 2024-06-14 DOI: 10.32614/CRAN.package.SeaVal Author: Claudio Heinrich-Mertsching [aut, cre, cph], Celine Cunen [ctb], Michael Scheuerer [ctb] Maintainer: Claudio Heinrich-Mertsching <claudio.heinrich at hotmail.de> License: GPL (≥ 3) URL: https://seasonalforecastingengine.github.io/SeaValDoc/, https://github.com/SeasonalForecastingEngine/SeaVal NeedsCompilation: no Materials: README, NEWS CRAN checks: SeaVal results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=SeaVal to link to this page.
RetroSearch is an open source project built by @garambo | Open a GitHub Issue
Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo
HTML:
3.2
| Encoding:
UTF-8
| Version:
0.7.4