In response to the need of improved daily operational weather forecasts, a method has been developed and applied for the correction of operationally forecasted near surface temperatures in Greece. Four distinct corrections are applied. The first two are based on Kalman theory making two different assumptions on the dependence of the forecast to the observed temperature. The third correction is based on an empirical method while the fourth provides a corrected temperature combining the corrected temperatures from the previous three methods, with dynamic weights assigned to each of them. The analysis showed that the combined method gives always the best results. Large mean absolute errors of temperature forecasts as high as 6.2¿C are suppressed down to 1.5¿C after correction, showing that a large part of the forecast error has a systematic character which can be corrected by the method described in this paper.