Last data update: 2014.03.03

R: ENSEMBLES dataset
ensemblesR Documentation

ENSEMBLES dataset

Description

This dataset contains air temperature and precipitation climate change signals of all 22 A1B forced climate simulations from the ENSEMBLES project from 1961-1990 to 2021-2050.

Usage

data(ensembles)

Source

The ENSEMBLES project: http://www.ensembles-eu.org/

References

van der Linden P, Mitchell JFB. 2009. ENSEMBLES: Climate Change and its Impacts: Summary of research and results from the ENSEMBLES project. Met Office Hadley Centre: Exeter.

Examples

require(wux)
data(ensembles)
ensembles <- droplevels(subset(ensembles, subreg == "EU.ENS"))

str(ensembles)
parms <- c("delta.air_temperature", "perc.delta.precipitation_amount",
           "delta.global_radiation", "delta.wind_speed")
summary(ensembles, parms = parms)

## Not run: plot(ensembles,  "perc.delta.precipitation_amount",
              "delta.air_temperature", boxplots = TRUE, xlim = c(-10,10),
              ylim = c(0, 3),
              label.only.these.models = c(""),
              xlab = "Precipitation Amount [%]",
              ylab = "2-m Air Temperature [K]",
              main = "CCS 2-m Air Temp. and Precip. Amount 1961-90 to 2021-50",
              subreg.subset = c("EU.ENS"))
## End(Not run)

## comparing ENSEMBLES RCMs with its driving GCMs
data(ensembles_gcms)
ensembles_gcms.eu <- gdata::drop.levels(subset(ensembles_gcms, subreg ==
"EU.ENS"))
gcm.names <- levels(ensembles_gcms.eu$acronym)

vars.of.interest <- !names(ensembles) %in% c("delta.global_radiation", "delta.wind_speed")
ensembles <- ensembles[vars.of.interest]
ensembles.merge <- rbind(ensembles, ensembles_gcms.eu)
summary(ensembles.merge)

## Not run: plot(ensembles.merge,  "perc.delta.precipitation_amount",
              "delta.air_temperature", boxplots = TRUE, xlim = c(-10,10),
              ylim = c(0, 3),
              label.only.these.models = gcm.names,
              xlab = "Precipitation Amount [%]", ylab = "2-m Air Temperature [K]",
              main = "CCS 2-m Air Temp. and Precip. Amount 1961-90 to 2021-50",
              subreg.subset = c("EU.ENS"), draw.median.lines = FALSE)

## End(Not run)

Results