NordklimStationCatalogue: The Nordklim Station Catalogue
In nordklimdata1: Dataset for Climate Analysis with Data from the Nordic Region

Description Usage Format Details Source References Examples

Information about the Nordklim stations and climate element numbers.

1	data(NordklimStationCatalogue)

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

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.

http://www.smhi.se/hfa_coord/nordklim

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

## 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)

'data.frame':	114 obs. of  31 variables:
 $ Station        : int  1 1 1 1 1 1 1 1 1 1 ...
 $ Catalogue      : int  1 2 3 4 5 1 2 3 4 5 ...
 $ Station.name   : chr  "Hammerodde Fyr" "Vestervig" "Nordby" "Tranebjerg" ...
 $ Height.ASL     : chr  "11" "18" "5" "11" ...
 $ Country        : chr  "DK" "DK" "DK" "DK" ...
 $ Nordklim.number: int  6193 21100 25140 27080 30380 1 304 1101 1103 1202 ...
 $ Lat.Long       : chr  "55 18 N  14 47 E" "56 46 N  08 19 E" "55 26 N  08 24 E" "55 51 N  10 36 E" ...
 $ X101           : int  1890 1890 1890 1890 1890 1908 1890 1890 1901 1890 ...
 $ X101E          : chr  "2001" "2001" "2001" "2001" ...
 $ X111           : int  1890 1890 1890 1890 1890 1908 1882 1903 1901 1902 ...
 $ X111E          : int  2001 2001 2001 2001 2001 2002 2002 2002 1997 1999 ...
 $ X112           : int  1890 1890 1890 1890 1890 1908 1882 1903 1901 1902 ...
 $ X112E          : int  2001 2001 2001 2001 2001 2002 2002 2002 1997 1999 ...
 $ X113           : int  1890 NA 1890 1890 1890 1908 1882 1903 1901 1902 ...
 $ X113E          : int  2001 1890 2001 2001 2001 2002 2002 2002 1997 1999 ...
 $ X121           : int  1890 2001 1890 1890 1890 1908 1882 1903 1901 1902 ...
 $ X121E          : int  2001 1890 2001 2001 2001 2002 2002 2002 1997 1999 ...
 $ X122           : int  1890 2001 1890 1890 1890 1908 1882 1903 1901 1902 ...
 $ X122E          : int  2001 1890 2000 2001 2001 2002 2002 2002 1997 1999 ...
 $ X123           : int  1890 2000 1890 1890 1890 NA 1882 1903 1894 1902 ...
 $ X123E          : int  2001 1890 2001 2001 2001 NA 2002 2002 1997 1999 ...
 $ X401           : int  1890 2001 1890 1948 1890 NA 1890 1909 NA 1890 ...
 $ X401E          : int  2001 1890 2001 2001 2000 NA 2002 2002 NA 1999 ...
 $ X601           : int  1890 2001 1890 1890 1890 NA 1890 1891 NA 1891 ...
 $ X601E          : int  2001 1939 2001 2000 2000 NA 2002 2002 NA 1999 ...
 $ X602           : int  1890 2001 1890 NA NA NA 1882 1937 NA 1950 ...
 $ X602E          : int  2001 1890 2000 NA NA NA 2002 2002 NA 1999 ...
 $ X701           : int  NA 2000 NA NA NA NA 1937 1955 NA NA ...
 $ X701E          : int  NA NA NA NA NA NA 2002 2002 NA NA ...
 $ X801           : int  NA NA NA NA NA NA 1890 NA NA NA ...
 $ X801E          : int  NA NA NA NA NA NA 2002 NA NA NA ...
[1] 114
[1] 114
Number of stations per country
     DK FIN  FR  IS   N   S 
  1   5  26   1   5  28  48