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SUMMARY:CORDEX International Workshop on Coordinated Regional Projection R
 esearch and Synthesis | (smr 4310)
DTSTART;VALUE=DATE-TIME:20260512T060000Z
DTEND;VALUE=DATE-TIME:20260515T200000Z
DTSTAMP;VALUE=DATE-TIME:20260415T193517Z
UID:indico-event-11298@ictp.it
DESCRIPTION:Call to be open upon invitation only\nThe CORDEX community wil
 l be brought together to coordinate contributions to literature supporting
  IPCC AR7 WGI\, addressing gaps in regional climate information\, extremes
 \, and uncertainty\, while integrating new CMIP6-CORDEX simulations and AI
 -based regional climate emulators.\nA new generation of regional climate p
 rojections (CORDEX-CMIP6) will become available\, together with\, for the 
 first time\, ensembles produced by AI-based regional climate emulators tha
 t are expected to significantly contribute to the regional climate literat
 ure. The workshop will provide a forum to assess\, compare\, and integrate
  these emerging approaches with established regional modeling frameworks. 
 It will also highlight recent scientific advances\, including developments
  in high-resolution regional simulations\, process-based evaluation\, attr
 ibution of regional climate change\, and uncertainty assessment. The works
 hop promotes inclusivity by providing an accessible platform for scientist
 s from developing and underrepresented regions to engage with the CORDEX c
 ommunity and contribute to the literature informing the IPCC AR7 WGI asses
 sment.Topics:\n\n		Updates on new regional climate model (RCM) projections
 \n	\n		High-resolution simulations for different CORDEX domains\n	\n		Mult
 i-model ensemble approaches and uncertainty quantification\n	\n		Downscali
 ng added value and model evaluation\n	\n		Observational datasets for model
  validation\n	\n		Process-based evaluation and diagnostics\n	\n		Represent
 ation of climate extremes (heatwaves\, heavy rainfall\, droughts\, etc..)\
 n	\n		Improved understanding of regional climate feedbacks\n	\n		Character
 ization and communication of uncertainty\n	\n		AI-based regional climate e
 mulators\n	\n		Hybrid modeling approaches combining RCMs and AI\n	\n		Oppo
 rtunities and limitations of AI-generated climate projections\n	\n		Emergi
 ng research priorities in regional climate science\nDirectors:\nE. Coppola
 \, ICTP\, Italy\nJ. M. Gutierrez\, CSIC\, Spain\nS. Solman\, SOLMAN\, Univ
 ersity of Buenos Aires\, Argentina\nM. Bukovsky\, Haub School of ENR\, Wyo
 ming\nA. Dosio\, JRC\, ItalySpeakers:\nE. Coppola\, ICTP\, Italy\nJ. M. Gu
 tierrez\, CSIC\, Spain\nS. Solman\, SOLMAN\, University of Buenos Aires\, 
 Argentina\nM. Bukovsky\, Haub School of ENR\, Wyoming\nA. Dosio\, JRC\, It
 aly\nC. Lennard\, University of Cape Town\, South Africa\nW. Pokam\, Unive
 rsity of Yaounde\, Cameroon\nB. Sylla\, AIMS-RIC\, Rwanda\nU. Dassio\, AU\
 , Burkina Faso\nH. Hidalgo\, University of Costa Rica\, Costa Rica\nT. Cav
 azos\, CICESE\, Mexico\nM. Ashfaq\, ORNL\, USA\nS. Ali\, GCISC\, Pakistan\
 nM. Simoes Reboita\, IRN - UNIFEI\, Brazil\nT. Ngo-Duc\, USTH\, Hanoi\nF. 
 Cruz\, Manila Observatory\, Philippines\nJ. Stuivenvolt-Allen\, NCAR\, USA
 \nD. Paquin PAQUIN\, OURANOS\, Canada\nM. Singh Shrestha\, ICIMOD\, Nepal\
 nS. Thazhe Purayil\, Indian Institute of Tropical Meteorology (IITM-MoES)\
 , India\nL. Das\, BCKV\,  India\nA. Orr\, BAS\, UK\nR. Porfirio Da Rocha\
 , IAG\, Brasil\nM. L. Bettolli\, UBA\, Argentina\nA. Llazca\, SENAMHI\, Pe
 rù\nD. Jacob\, GERICS\, Germany\nD. Rechid\, GERICS\, Germany\nC. Teichma
 nn\, GERICS\, Germany\nR. Benestad\, NMI\, Norway\nM. Thatcher\, CSIRO\, A
 ustralia\nJ. Fernandez\, CSIC-UCI\, Spain\nD.H. Cha\, UNIST\, South KoreaG
 rants: A limited number of grants are available to support the attendance 
 of selected participants upon invitation only\, with priority given to par
 ticipants from developing countries. There is no registration fee.\n\n//in
 dico.ictp.it/event/11298/
LOCATION:ICTP
URL://indico.ictp.it/event/11298/
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