  We present in this paper an application which automatically generates textual
short-term weather forecasts for every municipality in Galicia (NW Spain),
using the real data provided by the Galician Meteorology Agency (MeteoGalicia).
This solution combines in an innovative way computing with perceptions
techniques and strategies for linguistic description of data together with a
natural language generation (NLG) system. The application, named GALiWeather,
extracts relevant information from weather forecast input data and encodes it
into intermediate descriptions using linguistic variables and temporal
references. These descriptions are later translated into natural language texts
by the natural language generation system. The obtained forecast results have
been thoroughly validated by an expert meteorologist from MeteoGalicia using a
quality assessment methodology which covers two key dimensions of a text: the
accuracy of its content and the correctness of its form. Following this
validation GALiWeather will be released as a real service offering custom
forecasts for a wide public.
