BEGIN:VCALENDAR VERSION:2.0 PRODID:-//jEvents 2.0 for Joomla//EN CALSCALE:GREGORIAN METHOD:PUBLISH 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)http://i ndico.ictp.it/event/9802/overview (http://indico.ictp.it/event/9802/overvie w)\n \n Please apply not later than April 24th.\nContext:\n 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 casualti es especially in developing countries. This has raised the question about t he 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 de fine techniques to tackle the problem of attributing meteorological extreme events to climate change by mean of machine learning technologies. Lecture s will also focus on determining causal links of extreme events with the un derlying climate dynamics as the atmospheric circulation. The school will a lso discuss and provide the bases for communicating attribution results to the general public, stakeholders and other scientists in an exact although non specialist language.\n \n Topics:\n Dynamics and thermodynamics of extr eme events (including heatwaves, cold spells, severe convective events, tro pical and extra-tropical cyclones, compound extremes at different scales) S tatistical tools for extreme event attribution (including rare events algor ithms, compound climate extremes, storylines, casual inference, downscaling and bias correction) Machine Learning for extreme event attribution (inclu ding phyisics-aware machine learning, explainable artificial intelligence f or climate sciences, casual discovery algorithms for extreme events) Outrea ch and communication training (including a creative writing workshop, commu nication of extreme event attribution to the general public, school outreac h activities and outreach videogames)\nSpeakers:\n E. BARNES, Colorado Stat e U, USA\n E. BEVACQUA, UFZ Leipzig, Germany\n G. CAMPS-VALLS, ISP-UVEG, Sp ain\n E. COPPOLA, ICTP, Italy\n E. COUGHLAN DE PEREZ, RCCC, Netherlands\n D . COUMOU, VU Amsterdam, Netherlands\n D. FARANDA, LSCE CNRS, France\n M.A. FERNÁNDEZ-TORRES, ISP-UVEG, Spain\n E. FISCHER, ETH Zurich, Switzerland\n L . FRASER, Met Office, UK\n A. JEZEQUEL, IPSL-LMD, France\n S. KLEIN, OCE, F rance\n M. KRETSCHMER, U Reading, UK\n G. MESSORI, Uppsala U, Sweden\n F. O TTO, Imperial College, UK\n J. RUNGE, DLR, Germany\n T. SHEPHERD, U Reading , UK\n R. SINGH, RCCC, Netherlands\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 them upon selection. During the application p lease make sure to use our templates to format your abstract in PDFs. Templ ates are available below for download.\n \n Accepted participants will be a ble to attend in remote or strictly following Italian sanitary rules as the y will be applicable at the time of the conference, and depending on the ve ry limited number of available places in person. As regards the COVID-19 po licy, we advise to follow the updated rules available on the ICTP page ICTP Access Guidelines for Visitors.\n \n Grants: A limited number of grants ar e available to support the attendance of selected participants, with priori ty given to participants from developing countries. There is no registratio n fee.\n \n We look forward to receiving your application, \nE Coppola & ; D Faranda On behalf of all the organisers.\n X-ALT-DESC;FMTTYPE=text/html:

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.

DTSTAMP:20261107T010317 DTSTART;TZID=UTC;VALUE=DATE:20220620 DTEND;TZID=UTC;VALUE=DATE:20220702 SEQUENCE:0 TRANSP:OPAQUE END:VEVENT END:VCALENDAR