This work presents a set of R functions included in an R package called
 ReadObsHistWeaDat ("Reading Historical Observational Weather Data) to handle
 the automatic Weather Stations Network of the Spanish Agency of Meteorology
 (AEMet). Currently, these weather network contains 95 stations
 that cover the period from 1920 to 2012 (although this number could vary
 depending on the time period) and cover 10 meteorological variables.
 The aim of these R functions are to read efficiently large amount of data,
 to tackle, i.e, to get the meteorological variables by stations or to get
 variables by similar time periods, to transform from daily time resolution
 to weekly, monthly, seasonally and yearly averages, to save the meteorological
 variables of the stations (choosing the variables required) as uni or multivariate
 time series (in ASCII, CVS or NetCD format), to plot (as PDF, EPS, JPG or
 PNG formats) and to compute basics statistics for the meteorological variables
 by station. The functions have been programed as general as possible to be used
 and modified by other users of this type of data in other places around the world.
 Moreover, we have included a historical climate data set spanning the period
 from 1920 to 2012.