BEGIN:VCALENDAR
PRODID:-//Columba Systems Ltd//NONSGML CPNG/SpringViewer/ICal Output/3.3-
 M3//EN
VERSION:2.0
CALSCALE:GREGORIAN
METHOD:PUBLISH
BEGIN:VEVENT
DTSTAMP:20260109T165302Z
DTSTART:20260116T100000Z
DTEND:20260116T130000Z
SUMMARY:Workshop: Urban Weather Intelligence in the Cloud
UID:{http://www.columbasystems.com/customers/uom/gpp/eventid/}t1dt-mk73hl
 24-37nllu
DESCRIPTION:Unlock the power of hyper-local weather forecasting.\n\nJoin 
 us for a collaborative workshop focused on enhancing urban weather model
 ing. This workshop dives deep into Urban Weather Intelligence\, showing 
 how cloud-based platform enable urban weather and climate modelling.\n\n
 The workshop is funded by UKRI IAA Starter Fund\, UoM-CUHK Joint Researc
 h Fund\, and Amazon Web Services (AWS)\, in collaboration with Mancheste
 r Climate Ready and Urban360. We are also looking forward to AI-enabled 
 urban weather modelling/assessment/adaptation.\nWorkshop Details\n\nPart
 icipants from industry\, local government\, and stakeholder organisation
 s are welcome to register.\n\nCities experience weather very differently
  from their surrounding regions. Dense buildings\, roads\, and human act
 ivities reshape wind\, temperature\, and heat extreme\, directly affecti
 ng public health\, infrastructure\, energy demand\, and climate resilien
 ce. Understanding and managing these urban weather impacts requires adva
 nced modelling tools that go beyond traditional approaches. \n\nThis eve
 nt introduces urban weather and environmental models\, which belong to t
 he same class of physics-based models used by national weather services\
 , but are re-engineered to run efficiently on cloud infrastructure. We w
 ill demonstrate how complex urban processes can be simulated at neighbou
 rhood scale using cloud computing\, without the need for on-premise supe
 rcomputers. \n\nA central focus of the event is CLMU-Cloud\, a cloud-ena
 bled urban modelling platform developed with support from Amazon Web Ser
 vices (AWS). The platform allows users to run and analyse historical and
  counterfactual urban weather simulations directly on AWS\, providing ac
 tionable insights for applications such as infrastructure vulnerability 
 assessment\, public health risk evaluation\, emergency response planning
 \, and climate-informed urban design. This significantly lowers the tech
 nical barriers for non-academic users\, including urban planners\, envir
 onmental consultancies\, infrastructure operators\, and climate-tech com
 panies. 
STATUS:TENTATIVE
TRANSP:TRANSPARENT
CLASS:PUBLIC
LOCATION:The University of Manchester. Room to be shared via email
END:VEVENT
END:VCALENDAR