wavenumber-spectra-data: Wavenumber power spectra data

In grosed/cpop: Detection of Multiple Changes in Slope in Univariate Time-Series

Wavenumber power spectra data

Description

Data of power spectra of velocity as a function of wavenumber obtained from climate models of the Atlantic Ocean for two different months and two climate scenarios: a present-day one (run 2000) and a future scenario (run 2100). See \insertRefrichards-whittcpop

Usage

data(wavenumber_spectra)

Format

A dataframe with 5 columns and 247 rows. The first column is wavenumber (cycles per metre). The other columns are the power spectra values for different months (Feb run 2000, Aug run 2000, Feb run 2100, Aug run 2100). The original data is documented in \insertRefrichards-whitt-datacpop

References

\insertRef

richards-whittcpop

\insertRef

richards-whitt-datacpop

Examples

library(cpop)
library(pacman)
p_load(tidyr,ggplot2,dplyr)

data(wavenumber_spectra)

# take logs of variables
data <-  wavenumber_spectra %>%  mutate_all(log) %>% rename_all( ~ paste0("log_", .x))
head(data)

# reproduce figure 4 in "The Impact of Climate Change on Ocean Submesoscale 
# Activity" - Richards and Whitt (2021)
data %>%
gather(variable,log_power_spectra,-log_wavenumber) %>%
ggplot(aes(x=log_wavenumber, y=log_power_spectra, colour=variable)) +
geom_line() + theme_bw()

grosed/cpop documentation built on May 31, 2024, 11:16 a.m.