Despite the efforts of linking mult

Despite the efforts of linking multisatellite information to surface precipitation, the accuracy of satellite-based products still remains insufficient (Boushaki et al. 2009). To deal with this problem, a variety of bias correction methods have been developed, mainly by incorporating additional available datasets, such as rain gauge or radar information (Boushaki et al. 2009; McCollum et al. 2002). However, ground measurements are only available in specific regions with a sufficient number of instruments. Therefore, several proposed bias correction methodologies are limited to a regional scale and are very difficult to extend to global applications. On the other hand, research also requires more satellite datasets to help reduce biases in the products. For instance, Behrangi et al. (2009) used multispectral data from the Geostationary Operational Environmental Satellite (GOES) and proved their effectiveness in precipitation detection. Li et al. (2007) and Nasrollahi et al. (2013) showed the value of the Moderate Resolution Imaging Spectroradiometer (MODIS) in identifying high clouds and thus reducing false alarms.