| NordklimStationCatalogue {nordklimdata1} | R Documentation | 
The Nordklim Station Catalogue
Description
Information about the Nordklim stations and climate element numbers.
Usage
data(NordklimStationCatalogue)
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.
Source
http://www.smhi.se/hfa_coord/nordklim
References
Nordklim dataset 1.0 - description and illustrations Norwegian meteorological institute, 08/01 KLIMA, 2001
Examples
## 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)