library(hockeystick)
ml_co2 <- get_carbon()
plot_carbon(ml_co2)
hockeystick
includes functions to download and visualized climate data. Data is optionally cached.
Retrieve NOAA/ESRL Mauna Loa CO2 Observatory concentration data and plot:
Retrieve GCP global CO2 emissions and plot:
Visualize cumulative emissions by country:
Retrieve NASA/GISS global surface temperature anomaly data and plot:
Plot relationship between temperature anomaly and carbon:
Visualize warming using Ed Hawkins styled “warming stripes”:
Retrieve tide gauge and satellite sea level data and plot:
gmsl <- get_sealevel()
plot_sealevel(gmsl)
Retrieve July annual Arctic Sea Ice Index and plot:
seaice <- get_seaice()
plot_seaice(seaice)
get_seaice()
arguments can be modified to download Antarctic sea ice, and allow any month.
You can also visualize sea ice by month and year:
arcticice <- get_icecurves()
plot_icecurves(arcticice)
Retrieve NOAA HURDAT2 hurricane data and plot:
Retrieve NOAA/ESRL CH4 Globally averaged mean data and plot:
ch4 <- get_methane()
plot_methane(ch4)
Retrieve Vostok paleo ice core data and plot:
vostok <- get_paleo()
plot_paleo(vostok)
Managing the cache
By default, no climate data is cached, and all data is downloaded every time any of the get_
functions is called. To cache data for future use, use the write_cache = TRUE
option, available in all of the get_
functions. To download and cache all data use hockeystick_update_all()
. To view the files, date, and size of cached data use hockeystick_cache_details()
. To re-download data from the source use the use_cache = FALSE
argument in any of the get_
functions, for example: get_carbon(use_cache = FALSE, write_cache = TRUE)
. To delete all cached data use hockeystick_cache_delete_all()
.
Users may also cache data by default by adding options(hs_write_cache = TRUE)
to their script or .Rprofile
file.