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TZOFFSETFROM:-0500
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DTSTART:19700308T020000
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BEGIN:VEVENT
DTSTAMP:20210402T160546Z
LOCATION:Track 10
DTSTART;TZID=America/New_York:20201113T172500
DTEND;TZID=America/New_York:20201113T173000
UID:submissions.supercomputing.org_SC20_sess232_pec236@linklings.com
SUMMARY:Integrated Micro-Scale Modeling and Urban Environment Service Cybe
 rinfrastructure for Smart Cities
DESCRIPTION:Workshop\n\nIntegrated Micro-Scale Modeling and Urban Environm
 ent Service Cyberinfrastructure for Smart Cities\n\nKaginalkar\n\nLightnin
 g talk: Rapid urbanization is contributing to natural environment stress, 
 making large populationa vulnerable to extreme weather disasters risks. Ex
 treme events such as rainfall, floods, heat waves and pollution have incre
 mental complexities with cascading health and economy impacts. Each city h
 as specific characteristics in terms of its geography, climate, socio-econ
 omic conditions and city infrastructure. Science-driven timely city operat
 ions and planning decisions are crucial in urban disaster management.\n\nC
 ity environment has a large spatio-temporal variability. Capturing the nei
 ghborhood scale processes needs high resolution modeling. These prediction
 s are computationally expensive due to complex physics parametrization, la
 rge scale data assimilation and multi-model ensemble executions, requiring
  a large amount of HPC resources. Addressing these needs, we have initiate
 d NSM_urban, a consortia program of researchers, municipalities, policy ma
 kers and HPC developers for Indian cities. Under its aegis, we are develop
 ing Urban Environment Science to Society (UES2S): an HPC-cloud cyberinfras
 tructure with multi-sector modeling and city services platform. It promote
 s green computing with shared resources and is adaptable to other world ci
 ties, especially developing countries.\n\nUES2S has a timely disaster mana
 gement decision support system with neighborhood scale model simulation sc
 enarios expert system, modeling as a service (MaaS) and data as a service 
 (DaaS) HPC-cloud services translating model output to city user tailored s
 ervices with meteorology, hydrology, air quality and CFD models, and value
 -added real-time data fusion tools using numerical models, big data and ma
 chine learning methods \n\nWe share our collaborative development experien
 ce and UES2S architecture in the lightning talk.\n\nTag: Applications, Sci
 entific Computing, Simulation, State of the Practice, Technology Challenge
 \n\nRegistration Category: Workshop Reg Pass
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