We are pleased to announce the summer schoo l on "Artificial Intelligence for Detection and Attribution of Climate Extr emes" 20 Jun 2022 -1 Jul 2022 to be held at ICTP, Strada Costiera, 34151 Tr ieste (Italy) An ICTP Hybrid Meeting.
Yo
u can submit your application for participation in presence or online throu
gh this link: http://
indico.ictp.it/event/9802/overview
Please apply not later
than April 24th.
Context:
During t
he last 5-10 years, a large number of extreme weather and climate events in
Europe and worldwide have occurred, causing damage to infrastructure and c
asualties 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 i
s 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 resu
lts to the general public, stakeholders and other scientists in an exact al
though non specialist language.
Topics:
Dynamics and the
rmodynamics of extreme events (including heatwaves, cold spells, severe con
vective events, tropical and extra-tropical cyclones, compound extremes at
different scales) Statistical tools for extreme event attribution (includin
g rare events algorithms, compound climate extremes, storylines, casual inf
erence, downscaling and bias correction) Machine Learning for extreme event
attribution (including phyisics-aware machine learning, explainable artifi
cial intelligence for climate sciences, casual discovery algorithms for ext
reme events) Outreach and communication training (including a creative writ
ing workshop, communication of extreme event attribution to the general pub
lic, school outreach activities and outreach videogames)
Speakers:
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, S
witzerland
L. FRASER, Met Office, UK
A. JEZEQUEL, IPSL-LMD, Fra
nce
S. KLEIN, OCE, France
M. KRETSCHMER, U Reading, UK
G.
MESSORI, Uppsala U, Sweden
F. OTTO, Imperial College, UK
J. RU
NGE, DLR, Germany
T. SHEPHERD, U Reading, UK
R. SINGH, RCCC, Ne
therlands
S. SIPPEL, ETH Zurich, Switzerland
P. SUAREZ, RCCC, N
etherlands
R. VAUTARD, IPSL CNRS, France
M. VRAC, LSCE, France<
br /> P. YIOU, LSCE, France
Participants are encouraged to sub
mit abstracts for contributed talk. A number of short oral presentation slo
ts will be available for some of them upon selection. During the applicatio
n please make sure to use our templates to format your abstract in PDFs. Te
mplates are available below for download.
Accepted participant
s will be able to attend in remote or strictly following Italian sanitary r
ules as they will be applicable at the time of the conference, and dependin
g 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 ICT
P page ICTP Access Guidelines for Visitors.
Grants: A limited
number of grants are available to support the attendance of selected partic
ipants, with priority given to participants from developing countries. Ther
e is no registration fee.
We look forward to receiving your ap
plication,
E Coppola & D Faranda On behalf of all the organisers.