Learn R Programming

nordklimdata1 (version 1.2)

NordklimStationCatalogue: The Nordklim Station Catalogue

Description

Information about the Nordklim stations and climate element numbers.

Usage

data(NordklimStationCatalogue)

Arguments

Format

A data frame with 114 observations on the following 31 variables.
Station
Station id
Catalogue
Catalogue id
Station.name
Station name
Height.ASL
Height at sea level
Country
Country
Nordklim.number
Nordklim id
Lat.Long
Lat./Long.
X101
Mean temperature
X101E
Mean temperature error
X111
Mean maximum temperature
X111E
Mean maximum temperature error
X112
Highest maximum temperature
X112E
Highest maximum temperature error
X113
Day of Th
X113E
Day of Th error
X121
Mean minimum temperature
X121E
Mean minimum temperature error
X122
Lowest minimum temperature
X122E
Lowest minimum temperature error
X123
Day of Tl
X123E
Day of Tl error
X401
Mean Pressure
X401E
Mean Pressure error
X601
Precipitation Sum
X601E
Precipitation Sum error
X602
Maximum 1-day precipitation
X602E
Maximum 1-day precipitation error
X701
Number of days with snow cover (> 50% covered)
X701E
Number of days with snow cover (> 50% covered) error
X801
Mean cloud cover
X801E
Mean cloud cover error

Details

The station catalogue has five columns with station information (station name, height at sea level, country code, NORDKLIM number and Lat./Long.) followed by 24 columns, two for each climate element number, the first is the first year of the dataset and the second is the last year.

References

Nordklim dataset 1.0 - description and illustrations Norwegian meteorological institute, 08/01 KLIMA, 2001

Examples

Run this code
## Not run: 
# data(NordklimStationCatalogue)
# str(NordklimStationCatalogue)
# # 114 stations
# length(NordklimStationCatalogue$Nordklim.number)
# # in 5 Nordic countries
# length(NordklimStationCatalogue$Country)
# # how many stations per country?
# table(NordklimStationCatalogue$Country,dnn = 
# list("Number of stations per country"))
# # how many climate elements recorded per station?
# climElSta <- rowSums(sign(NordklimStationCatalogue[,c('X101','X111','X112',
# 'X113','X121','X122','X123','X401','X601','X602','X701','X801')]), 
# na.rm = TRUE)
# barplot(climElSta,ylab='Climate elements',xlab='Stations',
# main='Climate elements recorded per station')
# # how many stations per climate element?
# staClimEl <- colSums(sign(NordklimStationCatalogue[,c('X101','X111','X112','X113','X121',
# 'X122','X123','X401','X601','X602','X701','X801')]), na.rm = TRUE)
# barplot(staClimEl,xlab='Climate element',ylab='Stations',
# main='Stations per climate element')
# # how many stations have 1,2,3, ..., 12 climate elements? 
# # (same as Fig. 2 from Nordklim dataset 1.0 - description and illustrations)
# barplot(table(climElSta),xlab='Climate element',ylab='Stations',
# main='Number of stations as a function of number of climatic elements')
# ## End(Not run)

Run the code above in your browser using DataLab