A method for the detection of measurement errors or artifacts in a weather radar image captured by means of weather radar, whereby a) the weather radar image is in the form of a two-dimensional digital image, whereby each pixel of the weather radar image is assigned to a sub-area of the area monitored by the weather radar, and b) each pixel is assigned a reflectivity value, whereby each reflectivity value (11,...) corresponds to the electromagnetic reflectivity of the layers of air detected by the weather radar in the region of the sub-area assigned to each pixel, characterised in that in a prior calibration method c) a number of error-prone reference weather radar images are examined, and error-prone reference image sections of a predetermined size showing errors are selected in advance from among them, d) a number of further reference weather radar images are examined, and error-free reference image sections of the predetermined size are selected from among them, e) the error-prone reference image sections and the error-free reference image sections are subject to an optimisation process, whereby a decision function is determined in the course of the optimisation process, and receives an image section of predetermined size as an argument in order to provide one of at least two different result values (W, ERR) as a result, f) whereby, in the course of the optimisation process, optimisation is performed so that the decision function, when applied to one of the error-prone reference image sections, provides a first error-indicating result value, while, when applied to one of the error-free reference image sections, it provides a second result value deviating from the first result value, which is then used for the detection of measurement errors and artifacts in the weather radar image, g) the decision function is applied to a sub-area or multiple sub-areas of the weather radar image and the respective result value (W, ERR) of the decision function is used to assess whether a measurement error or artifact exists in the relevant examined sub-area of the weather radar image. a) the weather radar image is in the form of a two-dimensional digital image, whereby each pixel of the weather radar image is assigned to a sub-area of the area monitored by the weather radar, and b) each pixel is assigned a reflectivity value, whereby each reflectivity value (11,...) corresponds to the electromagnetic reflectivity of the layers of air detected by the weather radar in the region of the sub-area assigned to each pixel, c) a number of error-prone reference weather radar images are examined, and error-prone reference image sections of a predetermined size showing errors are selected in advance from among them, d) a number of further reference weather radar images are examined, and error-free reference image sections of the predetermined size are selected from among them, e) the error-prone reference image sections and the error-free reference image sections are subject to an optimisation process, whereby a decision function is determined in the course of the optimisation process, and receives an image section of predetermined size as an argument in order to provide one of at least two different result values (W, ERR) as a result, f) whereby, in the course of the optimisation process, optimisation is performed so that the decision function, when applied to one of the error-prone reference image sections, provides a first error-indicating result value, while, when applied to one of the error-free reference image sections, it provides a second result value deviating from the first result value, which is then used for the detection of measurement errors and artifacts in the weather radar image, g) the decision function is applied to a sub-area or multiple sub-areas of the weather radar image and the respective result value (W, ERR) of the decision function is used to assess whether a measurement error or artifact exists in the relevant examined sub-area of the weather radar image.