This package contains wrapper functions and methods which allow to use "climdex.pcic" and "RMAWGEN" packages. With this simple approach it is possible to calculate climate change indices, suggested by the WMO-CCL, CLIVAR, ETCCDMI(http://www.climdex.org),on stochastic generations of temperature and precipitation time series, obtained by the application of RMAWGEN. Each index can be applied to both observed data and to synthetic time series produced by the Weather Generator, over a reference period (e.g. 1981-2010, as in the example). It contains also functions and methods to evaluate the generated time series of climate change indices consistency by statistical tests.Bugs/comments/questions/collaboration of any kind are warmly welcomed.
|Author||Emanuele Cordano, Annalisa Di Piazza|
|Date of publication||2014-01-05 17:09:55|
|Maintainer||Emanuele Cordano <firstname.lastname@example.org>|
|License||GPL (>= 2)|
accepted: Which generations pass the tests with success?
as.climdex.data.frame: Coercion to a ClimDex Data Frame
as.data.frame: Trasformation of a ClimDex Data Frame to a Data Frame
climdex.data.frame: ClimDex Data Frame
generation_p1: RClimMAWGEN Example Dataset
ks.test.climdex.data.frame: Kolgomorov-Smirnov Tests for a ClimDex Data Frame
temperature_max_daily: Daily Maximum Temperature
temperature_min_daily: Daily Minimum Temperature
trentino_1958_2010: Trentino Dataset
wilcox.test: Wilcoxon Rank Sum and Signed Rank Tests a ClimDex Data Frame