Nordklim data set 1.0

Description

The NORDKLIM data set contains close to 70 000 years of monthly data from 114 stations. The station network covers all five Nordic countries, including data from the Faeroe Islands, Jan Mayen, Bjornoya and Svalbard. There are seven monthly climatic elements describing temperature, two on precipitation and one on air pressure, cloud cover and snow cover.

Project contractors: NORDKLIM/NORDMET on behalf of the National meteorological services in Denmark (DMI), Finland (FMI), Iceland (VI), Norway (DNMI) and Sweden (SMHI)

Details

Author(s)

Authors@R: c(person(given = "Heikki", family = "Tuomenvirta", role = "aut"), person(given = "Achim", family = "Drebs", role = "aut"), person(given = "Eirik", family = "Forland", role = "aut"), person(given = "Ole", family = "Einar Tveito", role = "aut"), person(given = "Hans", family = "Alexandersson", role = "aut"), person(given = "Ellen", family = "Vaarby Laursen", role = "aut"), person(given = "Trausti", family = "Jonsson", role = "aut"), person(given = "Jose'", family = "Gama", role = c("cre"),email = "jgama@abo.fi"))

Source

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

References

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

The Nordklim Dataset

Description

The NORDKLIM data set - monthly data for 7 climatic elements from 114 stations in 5 Nordic countries.

Usage

data(NordklimData)

Format

A data frame with 71329 observations on the following 16 variables.

NordklimNumber

Nordklim number identifier

ClimateElement

Climate element identifier

FirstYear

First year of the dataset

January

Readings for January

February

Readings for February

March

Readings for March

April

Readings for April

May

Readings for May

June

Readings for June

July

Readings for July

August

Readings for August

September

Readings for September

October

Readings for October

November

Readings for November

December

Readings for December

CountryCode

Country code

Details

The NORDKLIM data set has 16 columns, the first three columns are the Nordklim number, climate element number and first year of the dataset, the next 12 columns are twelve months of readings, from January to December and the last column is the country code. Monthly climatic elements in the NORDKLIM data set:

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(NordklimData)
str(NordklimData)
# get all the country codes
countries <- unique(NordklimData$CountryCode)
# earliest and latest year of data collection
minFirstYear<- min(NordklimData$FirstYear)
maxFirstYear<- max(NordklimData$FirstYear)
allyears <- min(NordklimData$FirstYear):max(NordklimData$FirstYear)
# get the yearly average of all records
avgNordk <- cbind(NordklimData[,c('CountryCode','ClimateElement','FirstYear',
'NordklimNumber')], 
YrAvg=apply(NordklimData[,c('January','February','March','April','May','June',
'July','August','September', 'October','November','December')],1,function(x) 
{x[x==-9999]<-NA;mean(x,na.rm = TRUE)}))
str(avgNordk)
# plot the Danish mean temperatures for its 5 stations (for a quick visual 
# inspection, no need for labels or legends)
DanavgNordk <- avgNordk[which(avgNordk$CountryCode=='DK' & 
avgNordk$ClimateElement==101),c('FirstYear','YrAvg','NordklimNumber')]
p <- unique(DanavgNordk$NordklimNumber)
for (Dp in p) { plot(DanavgNordk[which(DanavgNordk$NordklimNumber==Dp),
c('FirstYear','YrAvg')],type='l',col=( which(Dp==p)),
xlim=c(min(DanavgNordk$FirstYear), max(DanavgNordk$FirstYear)),
ylim=c(60,120)); if (Dp != p[length(p)]) par(new=T)}
# average each country
avgNordkCountry=aggregate(YrAvg ~ CountryCode+ClimateElement+FirstYear , 
data = avgNordk, function(x) {x[x==-9999]<-NA;mean(x,na.rm = TRUE)})
str(avgNordkCountry)
# plot the temperatures (mean of all stations) for each country
for (country in countries) { plot(avgNordkCountry[
which(avgNordkCountry$CountryCode==country & avgNordkCountry$ClimateElement==101),
c('FirstYear','YrAvg')],type='l',col=( which(country==countries)),
xlim=c(minFirstYear, maxFirstYear),ylim=c(0,120),
main='Mean of yearly means of all stations for each country',
xlab='Years',ylab='Mean temperature'); 
if (country != countries[length(countries)]) par(new=T)}
legend('topleft', legend = countries, col=1:5, pch=1, lty=1, merge=TRUE)

## End(Not run)

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)