arctic_2019: NOAA's Arctic Sea Daily Ice Extend Data

In puls: Partitioning Using Local Subregions

Description

A data set containing the daily ice extent at Arctic Sea from 1978 to 2019, collected by National Oceanic and Atmospheric Administration (NOAA)

Usage

arctic_2019

Format

A data frame with 13391 rows and 6 variables:

Year

Years of available data (1978–2019).

Month

Month (01–12).

Day

Day of the month indicated in Column Month.

Extent

Daily ice extent, to three decimal places.

Missing

Whether a day is missing (1) or not (0)).

Source Data

data source in NOAA database.

Source

https://nsidc.org/data/G02135/versions/3

Examples

library(dplyr)
library(lubridate)
library(ggplot2)

data(arctic_2019)

# Create day in the year column to replace Month and Day
north <-
  arctic_2019 %>%
  mutate(yday = yday(make_date(Year, Month, Day)),
         .keep = "all") %>%
  select(Year, yday, Extent)

ggplot(north) +
  geom_linerange(aes(x = yday, ymin = Year - 0.2, ymax = Year + 0.2),
                 size = 0.5, color = "red") +
  scale_y_continuous(breaks = seq(1980, 2020, by = 5),
                     minor_breaks = NULL) +
  labs(x = "Day",
       y = "Year",
       title = "Measurement frequencies were not always the same")

puls documentation built on Feb. 16, 2021, 5:07 p.m.