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DTSTAMP:20220812T074335Z
LOCATION:Osaka Room
DTSTART;TZID=Europe/Stockholm:20220628T163000
DTEND;TZID=Europe/Stockholm:20220628T170000
UID:submissions.pasc-conference.org_PASC22_sess160_msa223@linklings.com
SUMMARY:Data-Centric Workflows in Exascale Weather Forecasting - A Destina
 tion Earth Perspective
DESCRIPTION:Minisymposium\n\nData-Centric Workflows in Exascale Weather Fo
 recasting - A Destination Earth Perspective\n\nQuintino, Sarmany, Smart, H
 awkes, Danovaro...\n\nNumerical Weather Prediction (NWP) is a highly data 
 intensive HPC application. ECMWF operational weather forecasts generates m
 assive amounts of I/O in short bursts, accumulating to tens of TiB in hour
 ly forecast cycle windows. From this output, millions of user-defined dail
 y products are generated and disseminated to member states and commercial 
 customers all over the world. These products are processed from the raw ou
 tput of the IFS model, within the time critical path and under strict deli
 very schedule. <br />EU funded programmes such as Destination Earth will p
 romote a faster adoption of higher fidelity and increased resolution model
 s. During the first phase, two high resolution Digital Twins will be devel
 oped: (1) a kilometer scale Global Weather Extremes forecast and (2) a hig
 h resolution climate change and adaptation digital twin, which combined ar
 e estimated to generate around 1 PiB/day.<br />We present the challenges E
 CMWF is facing, in particular with Destination Earth, and the latest devel
 opments in model I/O, product generation and data storage. We show how ECM
 WF is reworking our operational workflows to adapt to forthcoming new arch
 itectures and memory-storage hierarchies, while building the API's that wi
 ll empower the users to fully utilise rich, dense Exascale datasets.\n\nDo
 main: Climate, Weather and Earth Sciences, Computer Science and Applied Ma
 thematics
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