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PRODID:-//Offshore Wind Energy Collaborative - ECPv6.7.0//NONSGML v1.0//EN
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METHOD:PUBLISH
X-WR-CALNAME:Offshore Wind Energy Collaborative
X-ORIGINAL-URL:https://osw.rutgers.edu
X-WR-CALDESC:Events for Offshore Wind Energy Collaborative
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BEGIN:VTIMEZONE
TZID:UTC
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TZOFFSETFROM:+0000
TZOFFSETTO:+0000
TZNAME:UTC
DTSTART:20240101T000000
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BEGIN:VEVENT
DTSTART;VALUE=DATE:20241209
DTEND;VALUE=DATE:20241214
DTSTAMP:20260417T095133
CREATED:20240723T080040Z
LAST-MODIFIED:20240723T193718Z
UID:2149-1733702400-1734134399@osw.rutgers.edu
SUMMARY:AGU Fall Meeting - Wind Energy Session
DESCRIPTION:­\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nDecember 9-13\, 2024 in Washington\, D.C.\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n­\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nSession Detail: https://agu.confex.com/agu/agu24/prelim.cgi/Session/230053\n\n\n\n  \n\n\n\nThe deadline for all submissions is July 31\, 2024 at 23:59 EDT.\n\n\n\n  \n\n\n\nA013 – Observational and Modeling Studies for Improved Wind Energy Characterization & Forecasting\n\n\n\n  \n\n\n\nAbstract: Installations of offshore and land-based wind farms are projected to increase in the coming years as the economy transitions towards renewable energy. Accurately forecasting rotor-region winds is crucial for this transition. Despite significant progress\, models struggle to accurately simulate rotor-region winds due to various reasons. These factors include surface characterization (including wind-wave-ocean coupling or soil moisture)\, atmospheric boundary-layer turbulence\, changing stability conditions\, clouds\, precipitation\, extreme weather\, and wind turbine wake effects. This session will focus on characterizing and reducing uncertainties in rotor-region wind forecasts through observations\, model simulations and AI-based techniques. We especially welcome observational studies stemming from targeted large field campaigns (e.g. WFIP3\, AWAKEN\, X-WAKES\, WIPAFF etc.) or smaller experiments. Modeling studies focused on improving the understanding of processes modulating rotor-region winds\, or improving wind farm parameterizations for weather models are also welcome.\n\n\n\n  \n\n\n\nConveners: Arka Mitra\, Anthony Kirincich\, David D Turner\, Julie K Lundquist\, Ulrike Egerer\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n­
URL:https://osw.rutgers.edu/event/agu2024/
CATEGORIES:International Events,Public Events,Regional/National Events
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