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A threshold-based cloud mask for the high-resolution visible  (HRV) channel (1 × 1 km<sup>2</sup>) of the Meteosat SEVIRI (Spinning  Enhanced Visible and Infrared Imager) instrument is introduced and evaluated. It is based on operational  EUMETSAT cloud mask for the low-resolution channels of SEVIRI  (3 × 3 km<sup>2</sup>), which is used for the selection of  suitable thresholds to ensure consistency with its results. The aim of  using the HRV channel is to resolve small-scale cloud structures that  cannot be detected by the low-resolution channels. We find that it is  of advantage to apply thresholds relative to clear-sky reflectance  composites, and to adapt the threshold regionally. Furthermore, the  accuracy of the different spectral channels for thresholding and the  suitability of the HRV channel are investigated for cloud  detection. The case studies show different situations to demonstrate  the behavior for various surface and cloud conditions.Overall, between 4 and 24% of cloudy low-resolution SEVIRI  pixels are found to contain broken clouds in our test data set  depending on considered region. Most of these broken pixels are  classified as cloudy by EUMETSAT's cloud mask, which will likely  result in an overestimate if the mask is used as an estimate of cloud  fraction. The HRV cloud mask aims for small-scale convective  sub-pixel clouds that are missed by the EUMETSAT cloud mask.  The major limit of the HRV cloud mask is the minimum cloud optical  thickness (COT) that can be detected. This threshold COT was found  to be about 0.8 over ocean and 2 over land and is highly related to the  albedo of the underlying surface

A threshold-based cloud mask for the high-resolution visible channel of Meteosat Second Generation SEVIRI