Set the time period and the geogprahical extension, as well as computes the anomaly of the atmospheric variable/s

Source: R/tidy_nc.R

This function allows to subset the time series and geogprahical area of your atmospheric variable. In addition, even if no argument is given, the anomaly of the atmospheric variable/s will be computed. The anomaly value is provided in order to facilitate the visualization of the results after use the synoptclas function. It is mandatory to pass the tidy_nc even if you do not want to change the time period or the geographical extension.

tidy_nc(
  x,
  time_subset = NULL,
  geo_subset = NULL,
  monthly_subset = NULL,
  name_vars = NULL
)

Arguments

x

data.frame. A data.frame with the following variables: lon, lat, time, value. The same structure returned when using download_ncep.
time_subset

vector. Starting and ending date, or a vector of dates of interest.
geo_subset

vector. A vector providing the xmin,xmax,ymin,ymax.
monthly_subset

an integer or a vector of integers. Number of the month/s desired.
name_vars

character or a vector of characters. Name of the atmospheric variable/s. If name is not specified, then will be coded as integers.

Value

A data.frame with the following variables: lon, lat, time, value, anom_value

See also

download_ncep

Examples

# Load data (mslp or precp_grid)
data(mslp)
data(z500)
# Tidying our atmospheric variables (500 hPa geopotential height
# and mean sea level pressure) together.

# Time subset between two dates
atm_data1 <- tidy_nc(x = list(mslp,z500), time_subset = c("2000-05-01","2001-04-30"))

# Time subset using a vector of dates of interest. Including a geographical crop
dates_int <- c("2000-01-25","2000-04-01","2000-07-14","2001-05-08","2002-12-20")
atm_data1 <- tidy_nc(x = list(mslp,z500),
                     time_subset = dates_int,
                     geo_subset = c(-20,10,30,50),
                     name_vars = c("mslp","z500")) # following the list sequence