Artificial Intelligence for Detection and Attribution of Climate Extremes | (smr 3717)
Starts 20 Jun 2022
Ends 1 Jul 2022
Central European Time
Kastler Lecture Hall (AGH)
Adriatico Guest House
Riva Massimiliano e Carlotta, Grignano
I - 34151 Trieste (Italy)
An ICTP Hybrid Meeting.
During the last 5-10 years, a large number of extreme weather and climate events in Europe and worldwide have occurred, causing damage to infrastructure and casualties especially in developing countries. This has raised the question about the role of climate change in altering the odds or the magnitude of a number of such events and the new "science of attribution" has began with several attribution published all around the world. The aim of the school is to define techniques to tackle the problem of attributing meteorological extreme events to climate change by mean of machine learning technologies. Lectures will also focus on determining causal links of extreme events with the underlying climate dynamics as the atmospheric circulation. The school will also discuss and provide the bases for communicating attribution results to the general public, stakeholders and other scientists in an exact although non specialist language.
Dynamics and thermodynamics of extreme events (including heatwaves, cold spells, severe convective events, tropical and extra-tropical cyclones, compound extremes at different scales)
Statistical tools for extreme event attribution (including rare events algorithms, compound climate extremes, storylines, casual inference, downscaling and bias correction)
Machine Learning for extreme event attribution (including phyisics-aware machine learning, explainable artificial intelligence for climate sciences, casual discovery algorithms for extreme events)
Outreach and communication training (including a creative writing workshop, communication of extreme event attribution to the general public, school outreach activities and outreach videogames)
E. BARNES, Colorado State U, USA
E. BEVACQUA, UFZ Leipzig, Germany
G. CAMPS-VALLS, ISP-UVEG, Spain
E. COPPOLA, ICTP, Italy
E. COUGHLAN DE PEREZ, RCCC, Netherlands
D. COUMOU, VU Amsterdam, Netherlands
D. FARANDA, LSCE CNRS, France
M.A. FERNÁNDEZ-TORRES, ISP-UVEG, Spain
E. FISCHER, ETH Zurich, Switzerland
L. FRASER, Met Office, UK
A. JEZEQUEL, IPSL-LMD, France
S. KLEIN, OCE, France
G. MESSORI, Uppsala U, Sweden
F. OTTO, Imperial College, UK
J. RUNGE, DLR, Germany
T. SHEPHERD, U Reading, UK
R. SINGH, RCCC, Netherlands
S. SIPPEL, ETH Zurich, Switzerland
P. SUAREZ, RCCC, Netherlands
R. VAUTARD, IPSL CNRS, France
M. VRAC, LSCE, France
P. YIOU, LSCE, France
Participants are encouraged to submit abstracts for contributed talk. A number of short oral presentation slots will be available for some of them upon selection. During the application please make sure to use our templates to format your abstract in PDFs. Templates are available below for download.
Accepted participants will be able to attend in remote or strictly following Italian sanitary rules as they will be applicable at the time of the conference, and depending on the very limited number of available places in person. As regards the COVID-19 policy, we advise to follow the updated rules available on the ICTP page ICTP Access Guidelines for Visitors.
Grants: A limited number of grants are available to support the attendance of selected participants, with priority given to participants from developing countries. There is no registration fee.