data: Sample data.

In metno/esd.test: Climate analysis and empirical-statistical downscaling (ESD) package for monthly and daily data.

Description

Different data sets: station data from northern Europe (NACD, NARP) and historic reconstructions (Oslo, Svalbard) from Dr. Nordli, Met Norway.

The object station.meta contains station information, used in the methods station.

Also reduced representation of re-analyses, where the data have been sampled by skipping grid points to reduce the spatila dimensions and stored as 20 EOFS (30 for precipitation). The data compression facilitated by the EOFs can provide 80-90% of the variance in the data. ESD uses the large-scale features from these reanalyses, and hence this information loss may be acceptable for downscaling work.

A reduced copy of the NorESM (M RCP 4.5) is also provided for the examples and demonstrations on how the downscaling can be implemented. Note: downscaling for end-users should never be based on one GCM simulation alone.

The object geoborders contains data on coastlines and borders, used in the methods map.

Usage

data(bjornholt)
data(ferder)
data(vardo)
data(eca.meta)
data(station.meta)
data(NACD)
data(NARP)
data(Oslo)
data(Svalbard)
data(eof.t2m.ERAINT)
data(eof.t2m.ERA40)
data(eof.t2m.NCEP)
data(eof.precip.ERAINT)
data(eof.slp.ERAINT)
data(eof.slp.MERRA)
data(eof.slp.NCEP)
data(eof.t2m.NorESM.M)
data(eof.t2m.DNMI)
data(eof.sst.DNMI)
data(eof.slp.DNMI)
data(geoborders)
slp.MERRA(lon=NULL,lat=NULL,anomaly=FALSE)
t2m.MERRA(lon=NULL,lat=NULL,anomaly=FALSE)
t2m.NCEP(lon=NULL,lat=NULL,anomaly=FALSE)
sst.NCEP(lon=NULL,lat=NULL,anomaly=FALSE)
slp.NCEP(lon=NULL,lat=NULL,anomaly=FALSE)
t2m.ERAINT(lon=NULL,lat=NULL,anomaly=FALSE)
precip.ERAINT(lon=NULL,lat=NULL,anomaly=FALSE)
slp.ERAINT(lon=NULL,lat=NULL,anomaly=FALSE)
t2m.ERA40(lon=NULL,lat=NULL,anomaly=FALSE)
t2m.DNMI(lon=NULL,lat=NULL,anomaly=FALSE)
slp.DNMI(lon=NULL,lat=NULL,anomaly=FALSE)
sst.DNMI(lon=NULL,lat=NULL,anomaly=FALSE)
t2m.NorESM.M(lon=NULL,lat=NULL,anomaly=FALSE)
data(NAOI)
data(sunspots)
data(NINO3.4)
HadCRUT4(url="http://www.metoffice.gov.uk/hadobs/hadcrut4/data/current/time_series/HadCRUT.4.2.0.0.monthly_ns_avg.txt",plot=FALSE)

Arguments

lon	longitude range c(lin.min,lon.max)
lat	latitude range
anomaly	TRUE: return anomaly
url	source of data
plot	TRUE:plot

Value

Numeric vectors/matrices with a set of attributes describing the data.

Author(s)

R.E. Benestad

See Also

spatial.avg.field as.4seasons, annual

Examples

data(Oslo)
year <- as.numeric( format(index(Oslo), '%Y') ) 
plot(aggregate(Oslo, by=year, mean, na.rm = FALSE))

metno/esd.test documentation built on May 22, 2019, 7:49 p.m.