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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 <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.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.