Description Usage Format Details Source References Examples
Information about the Nordklim stations and climate element numbers.
1 |
A data frame with 114 observations on the following 31 variables.
Station id
Catalogue id
Station name
Height at sea level
Country
Nordklim id
Lat./Long.
Mean temperature
Mean temperature error
Mean maximum temperature
Mean maximum temperature error
Highest maximum temperature
Highest maximum temperature error
Day of Th
Day of Th error
Mean minimum temperature
Mean minimum temperature error
Lowest minimum temperature
Lowest minimum temperature error
Day of Tl
Day of Tl error
Mean Pressure
Mean Pressure error
Precipitation Sum
Precipitation Sum error
Maximum 1-day precipitation
Maximum 1-day precipitation error
Number of days with snow cover (> 50% covered)
Number of days with snow cover (> 50% covered) error
Mean cloud cover
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
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 | ## 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
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