alps {DATAstudio} | R Documentation |
Swiss Alps Temperature Data
Description
The alps
data data consist of daily winter temperature
minima and maxima measured at 2m above ground surface
at two sites in the Swiss Alps: Montana and Zermatt.
Usage
alps
Format
The alps
data frame contains the following columns:
date
: date of measurements.min_montana
,min_zermatt
: daily minimum temperature in ºC on Montana and Zermatt.min_montana
,min_zermatt
: daily maximum temperature in ºC on Montana and Zermatt.
Source
MeteoSwiss
References
Mhalla, L., de Carvalho, M., and Chavez-Demoulin, V. (2019) Regression type models for extremal dependence. Scandinavian Journal of Statistics, 46, 1141-1167.
Examples
## visualizing the data
data(alps)
oldpar <- par(pty = 's', mfrow = c(1, 2))
plot(alps$min_montana, alps$min_zermatt, pch = 20,
xlab = "Montana", ylab = "Zermatt", main = "Daily Minimum")
plot(alps$max_montana, alps$max_zermatt, pch = 20,
xlab = "Montana", ylab = "Zermatt", main = "Daily Maximum")
par(oldpar)
oldpar <- par(pty = 's', mfrow = c(1, 2))
plot(alps$min_montana, alps$max_montana, pch = 20,
xlab = "Minimum", ylab = "Maximum", main = "Montana")
abline(a = 0, b = 1, col = "red", lty = 2)
plot(alps$min_zermatt, alps$max_zermatt, pch = 20,
xlab = "Minimum", ylab = "Maximum", main = "Zermatt")
abline(a = 0, b = 1, col = "red", lty = 2)
par(oldpar)
## to download the NAO daily index in Mhalla et al (2019) use
## the R package data.table to access NOAA via ftp
link <- "ftp://ftp.cdc.noaa.gov/Public/gbates/teleconn/nao.reanalysis.t10trunc.1948-present.txt"
NAO.daily <- data.table::fread(link)
NAO.daily <- data.frame(NAO.daily)
colnames(NAO.daily) <- c("year", "month", "day", "NAO")
[Package DATAstudio version 1.1 Index]