Predicting Mediterranean climate on interannual to decadal timescales: perspectives from the CMCC Decadal Prediction System

CMCC Webinar
25 October 2022 – h 12.00 pm CET
Click on the following link for registration: https://bit.ly/Webi2510

Speaker
Dario Nicolì, CMCC – CSP Division

Moderator
Simona Masina, CMCC – ODA Division

Abstract
For a long time, the only available products to inform decision-makers on future climate-related risks were projections: century-scale climate change simulations initialized from arbitrary model states to which were applied anthropogenic and natural forcings. A major limitation of climate projections is their limited information regarding the current state of the Earth’s climate system. Decadal climate predictions, obtained by constraining the initial conditions of an ensemble of model simulations through a best estimate of the observed climate state, provide a better understanding of climate fluctuations in the near-term range (typically up to 10 years) and thus an invaluable tool in assisting climate adaptation.
The first objective of this presentation is to illustrate the results obtained from the CMIP6 DCPP-A decadal retrospective predictions produced with the operational CMCC decadal prediction system (CMCC DPS), based on the fully-coupled CMCC-CM2-SR5 dynamical model.
Furthermore, the speaker will present and discuss the predicted near-term climatic anomalies in the Mediterranean region, one of the most sensitive to climate change. This region has undergone an intense warming and drying trend during the last decades, dominantly caused by the increase of anthropogenic greenhouse gases concentrations. Using the aforementioned CMCC DPS and the respective ensemble of non-initialized projections, we assess future climate changes focusing on both the annual mean and seasonal responses.

 


WATCH THE VIDEO


HOW TO PARTICIPATE
25 October 2022 – h 12.00 pm CET
Click on the following link for registration: https://bit.ly/Webi2510


ORGANIZED BY:
CMCC, Festival dello Sviluppo Sotenibile, ASVIS



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