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BEGIN:VEVENT
UID:200be3cbd3d83c5c6b41720f27aa023b
CATEGORIES:Field and Summer Schools
CREATED:20220317T105216
SUMMARY:Summer School on "Artificial Intelligence for Detection and Attribution of Climate Extremes"
LOCATION:Trieste\, Italy
DESCRIPTION:We are pleased to announce the summer school on "Artificial Intelligence fo
 r Detection and Attribution of Climate Extremes" 20 Jun 2022 -1 Jul 2022 to
  be held at ICTP, Strada Costiera, 34151 Trieste (Italy) An ICTP Hybrid Mee
 ting.\nYou can submit your application for participation in presence or onl
 ine through this link:  (http://indico.ictp.it/event/9802/overview)<a href=
 "http://indico.ictp.it/event/9802/overview" target="_blank" rel="noopener">
 http://indico.ictp.it/event/9802/overview</a>\n \n Please apply not later t
 han April 24th.\nContext:\n During the last 5-10 years, a large number of e
 xtreme weather and climate events in Europe and worldwide have occurred, ca
 using damage to infrastructure and casualties especially in developing coun
 tries. This has raised the question about the role of climate change in alt
 ering the odds or the magnitude of a number of such events and the new "sci
 ence of attribution" has began with several attribution published all aroun
 d the world. The aim of the school is to define techniques to tackle the pr
 oblem of attributing meteorological extreme events to climate change by mea
 n 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 base
 s for communicating attribution results to the general public, stakeholders
  and other scientists in an exact although non specialist language.\n \n To
 pics:\n Dynamics and thermodynamics of extreme events (including heatwaves,
  cold spells, severe convective events, tropical and extra-tropical cyclone
 s, compound extremes at different scales) Statistical tools for extreme eve
 nt attribution (including rare events algorithms, compound climate extremes
 , storylines, casual inference, downscaling and bias correction) Machine Le
 arning for extreme event attribution (including phyisics-aware machine lear
 ning, explainable artificial intelligence for climate sciences, casual disc
 overy algorithms for extreme events) Outreach and communication training (i
 ncluding a creative writing workshop, communication of extreme event attrib
 ution to the general public, school outreach activities and outreach videog
 ames)\nSpeakers:\n E. BARNES, Colorado State U, USA\n E. BEVACQUA, UFZ Leip
 zig, Germany\n G. CAMPS-VALLS, ISP-UVEG, Spain\n E. COPPOLA, ICTP, Italy\n 
 E. COUGHLAN DE PEREZ, RCCC, Netherlands\n D. COUMOU, VU Amsterdam, Netherla
 nds\n D. FARANDA, LSCE CNRS, France\n M.A. FERNÁNDEZ-TORRES, ISP-UVEG, Spai
 n\n E. FISCHER, ETH Zurich, Switzerland\n L. FRASER, Met Office, UK\n A. JE
 ZEQUEL, IPSL-LMD, France\n S. KLEIN, OCE, France\n M. KRETSCHMER, U Reading
 , UK\n G. MESSORI, Uppsala U, Sweden\n F. OTTO, Imperial College, UK\n J. R
 UNGE, DLR, Germany\n T. SHEPHERD, U Reading, UK\n R. SINGH, RCCC, Netherlan
 ds\n S. SIPPEL, ETH Zurich, Switzerland\n P. SUAREZ, RCCC, Netherlands\n R.
  VAUTARD, IPSL CNRS, France\n M. VRAC, LSCE, France\n P. YIOU, LSCE, France
 \n \n Participants are encouraged to submit abstracts for contributed talk.
  A number of short oral presentation slots will be available for some of th
 em upon selection. During the application please make sure to use our templ
 ates to format your abstract in PDFs. Templates are available below for dow
 nload.\n \n Accepted participants will be able to attend in remote or stric
 tly following Italian sanitary rules as they will be applicable at the time
  of the conference, and depending on the very limited number of available p
 laces in person. As regards the COVID-19 policy, we advise to follow the up
 dated rules available on the ICTP page ICTP Access Guidelines for Visitors.
 \n \n Grants: A limited number of grants are available to support the atten
 dance of selected participants, with priority given to participants from de
 veloping countries. There is no registration fee.\n \n We look forward to r
 eceiving your application, \nE Coppola &amp; D Faranda On behalf of all the
  organisers.\n
X-ALT-DESC;FMTTYPE=text/html:<p style="text-align: justify;">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.</p><p style="text-align: justify;">Yo
 u can submit your application for participation in presence or online throu
 gh this link: <a href="http://indico.ictp.it/event/9802/overview" target="_
 blank" rel="noopener noreferrer" data-saferedirecturl="https://www.google.c
 om/url?q=http://indico.ictp.it/event/9802/overview&amp;source=gmail&amp;ust
 =1647600034708000&amp;usg=AOvVaw2x3LRmSsyVNgrenW8dDER0"></a><a href="http:/
 /indico.ictp.it/event/9802/overview" target="_blank" rel="noopener">http://
 indico.ictp.it/event/9802/overview</a><br /> <br /> Please apply not later 
 than April 24th.</p><p style="text-align: justify;">Context:<br /> 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.<br /> <br /> Topics:<br /> 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)</p><p style="text-
 align: justify;">Speakers:<br /> E. BARNES, Colorado State U, USA<br /> E. 
 BEVACQUA, UFZ Leipzig, Germany<br /> G. CAMPS-VALLS, ISP-UVEG, Spain<br /> 
 E. COPPOLA, ICTP, Italy<br /> E. COUGHLAN DE PEREZ, RCCC, Netherlands<br />
  D. COUMOU, VU Amsterdam, Netherlands<br /> D. FARANDA, LSCE CNRS, France<b
 r /> M.A. FERNÁNDEZ-TORRES, ISP-UVEG, Spain<br /> E. FISCHER, ETH Zurich, S
 witzerland<br /> L. FRASER, Met Office, UK<br /> A. JEZEQUEL, IPSL-LMD, Fra
 nce<br /> S. KLEIN, OCE, France<br /> M. KRETSCHMER, U Reading, UK<br /> G.
  MESSORI, Uppsala U, Sweden<br /> F. OTTO, Imperial College, UK<br /> J. RU
 NGE, DLR, Germany<br /> T. SHEPHERD, U Reading, UK<br /> R. SINGH, RCCC, Ne
 therlands<br /> S. SIPPEL, ETH Zurich, Switzerland<br /> P. SUAREZ, RCCC, N
 etherlands<br /> R. VAUTARD, IPSL CNRS, France<br /> M. VRAC, LSCE, France<
 br /> P. YIOU, LSCE, France<br /> <br /> 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.<br /> <br /> 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.<br /> <br /> 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.<br /> <br /> We look forward to receiving your ap
 plication, <br />E Coppola &amp; D Faranda On behalf of all the organisers.
 </p>
DTSTAMP:20260419T171238Z
DTSTART;TZID=UTC;VALUE=DATE:20220620
DTEND;TZID=UTC;VALUE=DATE:20220702
SEQUENCE:0
TRANSP:OPAQUE
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