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A new method for the delineation of precipitation during daytime using multispectralsatellite data is proposed. The approach is not only applicable to the detectionof mainly convective precipitation by means of the commonly used relation betweeninfrared cloud top temperature and rainfall probability but enables also the detectionof stratiform precipitation (e.g. in connection with mid-latitude frontal systems).The presented scheme is based on the conceptual model that precipitating clouds arecharacterized by a combination of particles large enough to fall, an adequatevertical extension (both represented by the cloud water path; cwp), and theexistence of ice particles in the upper part of the cloud. The technique considersthe VIS0.6 and the NIR1.6 channel to gain information aboutthe cloud water path. Additionally, the brightness temperature differences ΔT8.7-10.8and ΔT10.8-12.1 are considered to supply information about the cloud phase.Rain area delineation is realized by using a minimum threshold of the rainfallconfidence. To obtain a statistical transfer function between the rainfallconfidence and the four parameters VIS<sub0.6, NIR1.6, Δ T8.7-10.8and Δ T10.8-12.1, the value combinations of these four variablesare compared to ground based radar data. The retrieval is validated against independentradar data not used for deriving the transfer function and shows an encouragingperformance as well as clear improvements compared to existing optical retrievaltechniques using only IR thresholds for cloud top temperature

Discriminating raining from non-raining clouds at mid-latitudes using meteosat second generation daytime data