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CREATED:20240904T220048Z
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UID:26514-1741086000-1741089600@ciglr.seas.umich.edu
SUMMARY:03/04/25: Representing Lake-Atmosphere Interactions in NOAA’s Weather Prediction Models
DESCRIPTION:Please join us for a Great Lakes Seminar Series – subscribe!\nTime: 11:00-12:00 pm EST\nLocation: NOAA Great Lakes Environmental Research Laboratory\, Lake Superior Hall and Virtual\nPresenter: Christiane Jablonowski\, Professor of Climate and Space Sciences and Engineering\nTitle: Representing Lake-Atmosphere Interactions in NOAA’s Weather Prediction Models\n \nEvent Flyer \nWebinar Recording \nAbout the presentation: The talk provides an overview of various lake-atmosphere coupling approaches that are either currently employed or envisioned for NOAA’s suite of weather prediction models across a range of temporal and spatial scales. Special attention is paid to the representation of the Laurentian Great Lakes in the high-resolution\, convection-allowing NOAA forecast models HRRR as well as the newly-developed Rapid Refresh Forecast System (RRFS). The latter is based on a configuration of NOAA’s Unified Forecast System (UFS). The lake surface conditions for temperature and ice are either represented via NOAA’s operational 3D FVCOM lake modeling framework with the embedded lake ice component CICE or represented via a simpler 1D modeling approach based on the CLM lake parameterization. The talk will compare these two lake modeling approaches\, will survey the pros and cons of online and offline lake-atmosphere coupling ideas\, and will shed light on the temporal coupling frequency. The ideas will be illustrated via selected case studies that focus on lake-effect snow events during the winter months. These lake-effect snow events downwind of the Great Lakes are especially sensitive to lake-atmosphere interactions and thereby serve as suitable exemplars. \nAbout the speaker: Christiane Jablonowski is a Professor in the Department of Climate and Space Sciences and Engineering at the University of Michigan. She also worked at the National Center for Atmospheric Research (NCAR)\, NOAA’s Geophysical Fluid Dynamics Laboratory\, and the European Centre for Medium-Range Weather Forecasts. Dr. Jablonowski’s research lies at the interface between weather and climate modeling\, scientific computing\, and data science. \nIn particular\, her research portfolio includes atmospheric fluid dynamics\, weather and climate modeling\, coupling techniques\, climate model hierarchies\, scientific computing\, and machine learning techniques for the climate sciences. She works with the weather and climate models from NCAR\, NOAA\, and the Department of Energy (DoE). Dr. Jablonowski is the recipient of a DoE Early Career Award and the Presidential Early Career Award for Scientists and Engineers (PECASE). She is a co-lead of NOAA’s Convection-Allowing Model for short-range weather forecasts with the Unified Forecast System (UFS)\, serves on the Steering Committee for NCAR’s Community Earth System Model (CESM)\, and is a member of the AMS Committee on Artificial Intelligence Applications to Environmental Science.\n \n  \n**Registration is not required** \n_____________________________________________________\nIMPORTANT VISITOR INFORMATION\nAll seminar attendees are required to receive a visitor badge from the front desk at the NOAA Great Lakes Environmental Research Laboratory facility. Attendees need to present a valid U.S. photo ID or green card. If you are a Foreign National\, we encourage you to attend virtually. For questions regarding building access\, please email Margaret Throckmorton at throckmj@umich.edu. Additional questions? Contact Margaret Throckmorton: throckmj@umich.edu; visit ciglr.seas.umich.edu for more information.
URL:https://ciglr.seas.umich.edu/event/012125-christiane-jablonowski/
LOCATION:NOAA Great Lakes Environmental Research Laboratory\, 4840 S State Rd\, Ann Arbor\, MI\, 48104\, United States
CATEGORIES:Great Lakes Seminar Series
ATTACH;FMTTYPE=image/jpeg:https://ciglr.seas.umich.edu/wp-content/uploads/2024/09/Christiane-Jablonowski.jpg
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