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dc.contributor.authorZhang, Xiangdong
dc.contributor.authorZhang, Jing
dc.contributor.authorKrieger, Jeremy
dc.contributor.authorShulski, Martha
dc.contributor.authorLiu, Fushong
dc.contributor.authorStegall, Steve T.
dc.contributor.authorTao, Wei
dc.date.accessioned2020-04-09T23:26:14Z
dc.date.available2020-04-09T23:26:14Z
dc.date.issued2016-03
dc.identifier.urihttp://hdl.handle.net/11122/10973
dc.description.abstractGlobal models are the most widely used tools to generate various reanalysis data. However, coarse resolution limits their capability to capture detailed synoptic and mesoscale weather systems and the associated heterogeneous distribution of weather elements. Regional models are commonly utilized to better represent local weather systems, benefiting from higher- resolution grids and regionally-optimized model configurations. In this study, the state-of-the-art regional model Weather Research and Forecasting (WRF) and its three dimensional variational (3DVAR) data assimilation system WRF-3DVAR was applied to the Arctic marginal ice zone along the northern Alaska Coast for producing high-resolution regional reanalysis. Potential oil development exists in the study area, thus the high-resolution reanalyzed surface winds will provide a better understanding of regional and local surface circulation patterns, which are the primary driver of oil spill movement should the spill disasters happen.en_US
dc.description.sponsorshipBureau of Ocean Energy Management (BOEM), U.S. Dept. of the Interior under contract M06PC00018en_US
dc.language.isoen_USen_US
dc.subjectResearch Subject Categories::NATURAL SCIENCES::Earth sciences::Atmosphere and hydrosphere sciences::Meteorologyen_US
dc.titleChukchi-Beaufort Seas High-Resolution Atmospheric Reanalysis (CBHAR): Data Verification and Climate Analysisen_US
dc.typePosteren_US
refterms.dateFOA2020-04-09T23:26:15Z


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