PL1 | Diagnosis, trends, causalities, and predictions of extreme weather events in a climate change environment
Diagnosis, trends, causalities, and predictions of extreme weather events in a climate change environment
Conveners: Mario Marcello Miglietta, Cindy Lebeaupin Brossier, Stavros Dafis

The increase in frequency and/or intensity of extreme weather events is one of the consequences of global warming. The character and severity of their impacts depend not only on the nature of the hazards but also on the vulnerability of communities to climate threats. Due to the high exposure of its coasts, the Mediterranean is considered as a climate change hotspot in terms of observed and projected magnitude as well as the frequency of extreme events such as heatwaves, droughts, and intense cyclones, which are often responsible for heavy precipitation and floods. In terms of localized severe convective events, the observed trends show more uncertainties.
The purpose of the session is to present novel research studies covering different temporal (from weather to climate) and spatial scales (from local to global). The session will include both present-day analysis (numerical simulations of individual case studies, reanalysis data, and machine learning approaches), climate change assessment (including climate model simulations), and attribution studies (such as pseudo-global warming simulations). The session also welcomes contributions aiming at improving our physical understanding of severe weather in a changing climate through improved parameterization schemes and numerical weather and climate model simulations.

The increase in frequency and/or intensity of extreme weather events is one of the consequences of global warming. The character and severity of their impacts depend not only on the nature of the hazards but also on the vulnerability of communities to climate threats. Due to the high exposure of its coasts, the Mediterranean is considered as a climate change hotspot in terms of observed and projected magnitude as well as the frequency of extreme events such as heatwaves, droughts, and intense cyclones, which are often responsible for heavy precipitation and floods. In terms of localized severe convective events, the observed trends show more uncertainties.
The purpose of the session is to present novel research studies covering different temporal (from weather to climate) and spatial scales (from local to global). The session will include both present-day analysis (numerical simulations of individual case studies, reanalysis data, and machine learning approaches), climate change assessment (including climate model simulations), and attribution studies (such as pseudo-global warming simulations). The session also welcomes contributions aiming at improving our physical understanding of severe weather in a changing climate through improved parameterization schemes and numerical weather and climate model simulations.