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Based on a full-resolution Meteosat dataset, an extensive climatological study of the mesoscale convective systems (MCSs) observed by satellite over the Sahel leads to the definition of a subpopulation of MCSs—called organized convective systems (OCSs)—that represents only 12% of the total number of MCSs observed during 9 yr over the central Sahel while accounting for almost 80% of the total convective cloud cover defined at the 233-K threshold. Using a high-resolution rainfall dataset, it is shown that these OCSs are also the main source of rain in this region, accounting for about 90% of the seasonal rainfall, with a mean areal rainfall of 14.7 mm per system. All of the OCSs are associated with a rain event, and more than 90% of the major rain events are associated with an OCS. These figures are compared with those obtained for mesoscale convective complexes (MCCs). Each MCC produces more rainfall on average (19 mm per system) but there are only a few of them (1.2% of the total number of MCSs),...

With the objective of budding climatological statistics on propagating African convective systems and extracting pertinent parameters for the evaluation of precipitation an automatic method of tracking clouds with cold tops on Meteosat infrared (IR) images is established. This method takes into account eventual separation or merging of clouds. Results obtained in several cases not only demonstrate the capability of the method to perform correct tracking in different situations, but also show that objective determination of parameters, such as propagation speeds, system area, and volume index, is possible. The analysis of the time evolution of these last parameters allows a clear characterization of the cloud life cycle with its growing and decreasing stages, which may be useful for improving precipitation-estimation methods based only on cold-cloud occurrences or cloud-top temperatures.