VALIDACIÓN ESPACIAL DE DATOS DE TEMPERATURA EN LA RED DE INFORMACIÓN AGROCLIMÁTICA DE ANDALUCÍA

Abstract

Spatial validation of meteorological data is based on the application of quality control procedures using data from neighboring stations to assess the validity of data from candidate station (the station of interest). These kinds of tests are called in literature as spatial consistency tests. Spatial consistency tests compare a station’s data against the data from a reference series, generated from neighboring stations. They involve the use of neighboring stations to make an estimate of the measurement at the candidate station. This estimate can be formed by weighting according to distance separating the stations, correlation coefficient, etc. The test applied in this work -based on statistical decisions- use a weight according to the root mean square error. The results of the application of this test to maximum, minimum and mean temperature data from the Agroclimatic Information Network of Andalusia are summarized in this work. This quality control procedure is able to take decision, based on a factor f, the fraction of potential outliers for each station. Using GIS techniques, the geographic distribution of the errors detected is also analyzed.