View source: R/create_CRU_stack.R
create_CRU_stack | R Documentation |
Automates importing CRU CL v.2.0 climatology data and creates a terra terra::rast object of the data. If requested, minimum and maximum temperature may also be automatically calculated as described in the data readme.txt file. Data may be cached for later use by this function, saving time downloading files in future using this function. This function can be useful if you have network connection issues that mean automated downloading of the files using R does not work properly.
create_CRU_stack(
pre = FALSE,
pre_cv = FALSE,
rd0 = FALSE,
tmp = FALSE,
dtr = FALSE,
reh = FALSE,
tmn = FALSE,
tmx = FALSE,
sunp = FALSE,
frs = FALSE,
wnd = FALSE,
elv = FALSE,
dsn
)
create_cru_stack(
pre = FALSE,
pre_cv = FALSE,
rd0 = FALSE,
tmp = FALSE,
dtr = FALSE,
reh = FALSE,
tmn = FALSE,
tmx = FALSE,
sunp = FALSE,
frs = FALSE,
wnd = FALSE,
elv = FALSE,
dsn
)
pre |
Loads precipitation (millimetres/month) from server and
returns in the data frame, |
pre_cv |
Loads cv of precipitation (percent) from server and
returns in the data frame, |
rd0 |
Loads wet-days (number days with >0.1 millimetres rain per
month) and returns in the data frame, |
tmp |
Loads temperature (degrees Celsius) and returns it in the
data frame, |
dtr |
Loads mean diurnal temperature range (degrees Celsius)
and returns it in the data frame, |
reh |
Loads relative humidity and returns it in the data frame, |
tmn |
Calculate minimum temperature values (degrees Celsius)
and returns it in the data frame, |
tmx |
Calculate maximum temperature (degrees Celsius) and
return it in the data frame, |
sunp |
Loads sunshine, percent of maximum possible (percent of
day length) and returns it in the data frame, |
frs |
Loads ground-frost records (number of days with ground-
frost per month) and returns it in the data frame, |
wnd |
Load 10 m wind speed (metres/second) and returns it in the
data frame, |
elv |
Loads elevation (converted to metres) and returns it in
the data frame, |
dsn |
Local file path where CRU CL v.2.0 .dat.gz files are located. |
A base::list of terra::rast objects of CRU CL v. 2.0 climatology elements.
precipitation (millimetres/month)
cv of precipitation (percent)
wet-days (number days with >0.1 millimetres rain per month)
mean temperature (degrees Celsius)
mean diurnal temperature range (degrees Celsius)
relative humidity (percent)
sunshine (percent of maximum possible (percent of day length))
ground-frost (number of days with ground-frost per month)
10 metre windspeed (metres/second)
elevation (automatically converted to metres)
For more information see the description of the data provided by CRU, https://crudata.uea.ac.uk/cru/data/hrg/tmc/readme.txt
Adam H. Sparks, adamhsparks@gmail.com
https://crudata.uea.ac.uk/cru/data/hrg/tmc/grid_10min_pre.dat.gz
https://crudata.uea.ac.uk/cru/data/hrg/tmc/grid_10min_rd0.dat.gz
https://crudata.uea.ac.uk/cru/data/hrg/tmc/grid_10min_tmp.dat.gz
https://crudata.uea.ac.uk/cru/data/hrg/tmc/grid_10min_dtr.dat.gz
https://crudata.uea.ac.uk/cru/data/hrg/tmc/grid_10min_reh.dat.gz
https://crudata.uea.ac.uk/cru/data/hrg/tmc/grid_10min_sunp.dat.gz
https://crudata.uea.ac.uk/cru/data/hrg/tmc/grid_10min_frs.dat.gz
https://crudata.uea.ac.uk/cru/data/hrg/tmc/grid_10min_wnd.dat.gz, areas originally including Antarctica are removed.
https://crudata.uea.ac.uk/cru/data/hrg/tmc/grid_10min_elv.dat.gz, values are converted from kilometres to metres.
This package crops all spatial outputs to an extent of ymin = -60, ymax = 85, xmin = -180, xmax = 180.
New, Mark, et al. "A high-resolution data set of surface climate over global land areas." Climate research 21.1 (2002): 1-25. https://crudata.uea.ac.uk/cru/data/hrg/tmc/new_et_al_10minute_climate_CR.pdf
get_CRU_stack.
download.file(
url = "https://crudata.uea.ac.uk/cru/data/hrg/tmc/grid_10min_tmp.dat.gz",
destfile = file.path(tempdir(), "grid_10min_tmp.dat.gz")
)
CRU_tmp <- create_CRU_stack(tmp = TRUE, dsn = tempdir())
CRU_tmp
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.