Articles | Volume 15
Adv. Sci. Res., 15, 183–190, 2018
https://doi.org/10.5194/asr-15-183-2018
Adv. Sci. Res., 15, 183–190, 2018
https://doi.org/10.5194/asr-15-183-2018

  03 Aug 2018

03 Aug 2018

A new framework for probabilistic seasonal forecasts based on circulation type classifications and driven by an ensemble global model

Gianni Messeri et al.

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Cited articles

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Short summary
This new framework for high resoluted seasonal forecast allows an easier use of the information contained in the complex system of atmospheric circulations through their reduction to a limited number of circulation types starting from a global ensemble model. Further investigations are ongoing in order to lead predictions of the risk of heavy rainfall, drought or heat waves, all important parameters for agriculture, water management and severe weather risk assessment.