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UID:13@ccr.nelson.wisc.edu
DTSTART;TZID=America/Chicago:20241203T130000
DTEND;TZID=America/Chicago:20241203T140000
DTSTAMP:20241126T183724Z
URL:https://ccr.nelson.wisc.edu/events/stochastic-downscaling-and-ensemble
 -generation-of-seasonal-predictions-of-extreme-rainfall-using-a-space-time
 -nonstationary-stochastic-rainfall-model/
SUMMARY:Advancing Characterization of Orographic Precipitation and Implicat
 ions for Hydrometeorological Risks
DESCRIPTION:Speaker:  Yagmur Derin\, Research Scientist\, UW–Madison\n\n
 \n\nOrographic precipitation is a critical driver of Earth’s water budge
 t at various time scales. These mechanisms shape local climates\, ecosyste
 m\, and societies. Moreover\, hydrologic hazards driven by orographic rain
 fall are among the most devastating and frequent natural disasters in term
 s of loss of lives and property each year worldwide. A better understandin
 g of the distribution of orographic precipitation is not only a critical t
 opic for fundamental research but also for operational forecasting. Derin 
 will discuss integrating satellite observations\, ground-based networks\, 
 and numerical models\, using machine learning to link precipitation uncert
 ainties to environmental and physical parameters. This approach aims to im
 prove quantitative precipitation estimates\, advancing hydrological modeli
 ng and disaster preparedness in vulnerable regions.\n\nView the livestream
CATEGORIES:CPEP
LOCATION:823 Atmospheric & Oceanic Sciences\, 1225 W. Dayton St.\, Madison\
 , United States
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=1225 W. Dayton St.\, Madiso
 n\, United States;X-APPLE-RADIUS=100;X-TITLE=823 Atmospheric & Oceanic Sci
 ences:geo:0,0
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DTSTART:20241103T010000
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