Datasets: Data sets to run examples of the functions in the 'climatol'...

In climatol: Climate Tools (Series Homogenization and Derived Products)

Data sets to run examples of the functions in the climatol package.

Description

This object contains several small datasets needed to run the examples of most functions.

Usage

  data(climatol_data)

Details

This data set holds the following collection of data objects:

TX3st

Maximum daily temperature of 3 stations during 1981-1995.

TN3st

Minimum daily temperature of 3 stations during 1981-1995.

RR3st

Daily precipitation of 3 stations during 1981-1995.

SIstations

Stations coordinates, codes and names of the *3st data.

p064.df

Data frame with RR, TX and TN data for station p064.

p084.df

Data frame with RR, TX and TN data for station p084.

p082.df

Data frame with RR, TX and TN data for station p082.

AWS_1year

Hourly data from an Automatic Weather Station during one year.

AWS_1day

10 minutes data from an Automatic Weather Station during one day.

datcli

Monthly climatic parameters to plot a Walter&Lieth diagram.

Temp.dat

Monthly temperature of five stations during 1961-2005.

Temp.est

Stations coordinates, codes and names of the Temp.dat data.

Tav

Annual average temperature at Oslo (Norway) during 1901-2020.

prec10min

Ten minutes precipitation data during 1991-2020.

Some examples need the use of files rather than these data objects. In that case they are provided in a special folder of the installation directory tree and are made accessible through the function exampleFiles.

Source

RR3st, TX3st, TN3st, p064.df, p082.df and p084.df data were obtained from the historical run (1950-2005) of the Regional Atmospheric Climate Model version 2 of the Royal Netherlands Meteorological Institute (KNMI) in the frame of the INDECIS project <https://indecis.eu>.

Oslo annual average temperatures Tav were downloaded from the HCLIM database.

The other objects contain real data, but anonimized to avoid data policy restrictions.

References

Lundstad, Elin; Brugnara, Yuri; Broennimann, Stefan (2022): Global Early Instrumental Monthly Meteorological Multivariable Database (HCLIM). https://doi.org/10.1594/PANGAEA.940724

See Also

exampleFiles

Examples

data(climatol_data)
datcli
head(p064.df)
head(AWS_1year)

climatol documentation built on June 22, 2024, 11:07 a.m.