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VERSION:2.0
PRODID:-//Memento EPFL//
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SUMMARY:EESS talk on "Snowfall during the Pyeong Chang 2018 Winter Olympic
 s: summary of a field campaign and case study of an intense precipitation 
 event"
DTSTART:20201013T121500
DTEND:20201013T130000
DTSTAMP:20260921T010144Z
UID:01c43cedb909f292992e316e3bc38ddc583657e07b03f6aca9eb8c72
CATEGORIES:Conferences - Seminars
DESCRIPTION:Josué Gehring\, doctoral assistant\, Environmental Remote Sen
 sing Laboratory (LTE)\, IIE\; ENAC\, EPFL\nAbstract:\nSnowfall is an impor
 tant part of the hydrological cycle\, the climate in polar and mountainous
  regions and winter sports. In the mid-latitudes\, intense snowfall is mai
 nly associated with the warm or cold front of extratropical cyclones. Fore
 casting such snowfall events requires a good understanding of the meteorol
 ogical processes at play and is crucial for wintertime outdoor events\, su
 ch as Olympic Winter Games.\n\nIn this seminar\, I will first present a fi
 eld campaign which took place to support the PyeongChang2018 Olympic and P
 aralympic Winter Games in South-Korea. The Remote Sensing Laboratory of EP
 FL provided weather radars and ground-based measurements of clouds and pre
 cipitation. The winter of 2018 was very dry in the PyeongChang region and 
 Olympics events were largely held on artificial snow. However\, on the 28t
 h of February 2018 an intense warm front associated with an extratropical 
 cyclone led to about 50 cm of snow within 24 hours. In the second part of 
 the seminar\, we will analyse how large-scale meteorological conditions in
 fluenced the local enhancement of snowfall during this intense precipitati
 on event. We will see that a rising airstream in the warm sector of the cy
 clone influenced the evolution of snowfall. In particular\, turbulence enh
 anced the aggregation of snowflakes\, while supercooled liquid water produ
 ced in the rising airstream led to intense riming. These processes were ke
 y in the production of intense snowfall\, highlighting the importance of i
 nteractions between large and local scale processes for accurate snowfall 
 forecasts.\n\nShort biography:\nJosué Gehring is a PhD student in the Env
 ironmental Remote Sensing Laboratory of EPFL. He is studying the dynamics 
 and microphysics of snowfall from radar and ground based measurements coll
 ected in South-Korea and Antarctica. After he completed a BSc. in Environm
 ental Sciences and Engineering at EPFL\, he graduated in Atmospheric and C
 limate Science at ETH in Zurich. While finishing his PhD\, he currently wo
 rks part-time as a forecaster at MeteoSwiss.\n 
LOCATION:ZOOM
STATUS:CONFIRMED
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