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X-ORIGINAL-URL:https://aarms.math.ca
X-WR-CALDESC:Events for 
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TZOFFSETFROM:+0000
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DTSTART:20210101T000000
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DTSTART;TZID=UTC:20211207T110000
DTEND;TZID=UTC:20211207T120000
DTSTAMP:20260610T063326
CREATED:20211126T123922Z
LAST-MODIFIED:20211126T123922Z
UID:6540-1638874800-1638878400@aarms.math.ca
SUMMARY:AARMS Scientific Machine Learning Seminar: Peter Dueben (ECMWF)
DESCRIPTION:This talk provides an overview on the machine learning efforts at the European Centre for Medium-Range Weather Forecasts (ECMWF)\, and outlines how machine learning\, and in particular deep learning\, could help to improve weather predictions in the coming years. The talk will name challenges for the use of machine learning and suggest developments (research/software/hardware) that should enable the community of Earth system modelling to make quick progress. \nWebex information: \nLink: https://mun.webex.com/mun/j.php?MTID=m32a22bd61d05707cefe973ca5bf6ad69 \nMeeting no: 2631 545 3588 \nPassword: t32XHrsMqu6
URL:https://aarms.math.ca/event/aarms-scientific-machine-learning-seminar-peter-dueben-ecmwf/
LOCATION:WebEx seminar
CATEGORIES:AARMS Scientific Machine Learning Seminar
ORGANIZER;CN="Alexander%20Bihlo":MAILTO:abihlo@mun.ca
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