Abstract

Communicating the science of weather forecasts to the general public has been a difficult task due to three main challenges inherent in any forecast: ambiguity of interpretation, uncertainty and probabilities logic. Moreover, forecasts are not meaningful and actionable to the recipients since they are not tailored to the perception of how they live the weather conditions. This paper presents a research roadmap for designing an intelligent system capable of producing massively personalized weather forecasts through a co-creation process as well as an abstract systems architecture model pertinent for the implementation that will enable experimentation and the proof of the concept.

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