Hydro-meteorological extremes cause increasing disastrous impacts on the society, often producing financial and property losses, and in the worst cases human fatalities. Predicting current and future risks driven by extreme events is still a major challenge for climatologists, meteorologists, hydrologists and decision-makers, and requires accurate monitoring, observations and analysis of extreme events. The complex nature of extreme events is indeed the result of a variety of components that involve several disciplines. Within this framework, contributions focusing on one or more of the following issues are particularly welcome:

a) traditional/novel methods and instruments for the measurement of intense precipitation events, unconventional monitoring networks, instrument testing and intercomparison campaigns, calibration issues and uncertainty assessment, traceability and standards aimed at a better comparability between stations, quality assurance procedures for the management of monitoring networks, siting issues, homogeneity of historical series, algorithms for the post-processing of raw data, etc.;

b) methods to model hydro-meteorological extremes, including but not limited to extreme value theory, extreme excess theory and heavy tail distributions, inference problems, uncertainty analyses, Bayesian and stochastic modelling, multivariate analyses and copula modeling, risk evaluation, impact of measurement inaccuracies on extreme events analysis, geostatistical analysis, etc.;

c) analyses on trends of mean states, extremes and fluctuations in hydro-meteorological variables, including but not limited to heavy precipitations, Mediterranean storms, Mediterranean tropical-like cyclones, floods and flash floods, temperature anomalies, heat and cold waves and their impacts;

d) lightning and other ancillary variables associated with severe weather, torrential rains and flash floods.