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Decision aid tools are becoming increasingly important for design, planning and deployment of mobile communications assets that must function in diverse global environments. A 10-50 GHz monthly, global prediction model has been developed that calculates signal attenuation and availability due to rain, clouds, water vapour (in rain and non-rain conditions) and oxygen. The model is a key element of the Millimetric Decision Aid System (MIDAS) tool being developed at DERA. MIDAS is currently used to provide monthly coverage maps of availability and attenuation, link margin-range trade-off maps and link budget analyses. The paper first describes the framework of MIDAS Version 1.0a. Prediction results from the tool are compared with measurements from a satellite path and a 37 km high altitude slant path. An airborne scenario is then analysed to show the signal coverage features of the tool.