nordklimdata1 (version 1.2)

NordklimData: 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

Source

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

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:

Element number	Climatic element	Unit
Abbreviation	101	Mean temperature
0.1 C	T	111
Mean maximum temperature	0.1 C	Tx
112	Highest maximum temperature	0.1 C
Th	113	Day of Th
date	Thd	121
Mean minimum temperature	0.1 C	Tn
122	Lowest minimum temperature	0.1 C
Tl	123	Day of Tl
date	Tld	401
Mean Pressure	0.1 hPa	P
601	Precipitation Sum	0.1 mm
R	602	Maximum 1-day precipitation
0.1 mm	Rx	701
Number of days with snow cover (> 50% covered)	days	dsc
801	Mean cloud cover	%
N	Element number	Climatic element

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)