UFS Coastal Applications Team Report: Round 2 summary of a Unified Forecast System Model Evaluation for Marine Navigation
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Alternative Title:Unified Forecast System Coastal Applications Team Report: Round 2 summary of a Unified Forecast System Model Evaluation for Marine Navigation
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NOAA Program & Office:NOS (National Ocean Service) ; CO-OPS (Center for Operational Oceanographic Products & Services) ; IOOS (Integrated Ocean Observing System) ; NGS (Office of National Geodetic Survey) ; OCS (Office of Coast Survey) ; NWS (National Weather Service) ; NCEP (National Centers for Environmental Prediction) ; OPC (Ocean Prediction Center) ; OWP (Office of Water Prediction) ; OAR (Oceanic and Atmospheric Research) ; GLERL (Great Lakes Environmental Research Laboratory) ; PMEL (Pacific Marine Environmental Laboratory) ; CIGLR (Cooperative Institute for Great Lakes Research) ; CIMAR (Cooperative Institute for Marine and Atmospheric Research)
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Description:This report documents the second round of the model evaluation effort of the National Oceanic and Atmospheric Administration (NOAA) Unified Forecast System (UFS) Coastal Application Team (CAT) Marine Navigation Sub-Application. The effort follows the 1) the first phase of the project, which included gathering user requirements, generating an initial list of oceanographic models to evaluate, and defining skill assessment guidelines for the future model evaluation (Seroka et al. 2022), and 2) the first round of the second phase of the project– the model evaluation (Seroka et al. 2024). The project has worked toward the major goals of UFS CAT, which are 1) to evaluate potential coastal ocean models for the coastal ocean model components of the UFS and 2) to train the next generation of coastal modelers to accelerate the Research-to-Operations (R2O) process within the National Ocean Service (NOS).
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Rights Information:CC0 Public Domain
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Compliance:Submitted
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Main Document Checksum:urn:sha-512:f071ecf540f6fb537cdf0766bfd80a047d74ca98f5de4e41d0eaa47244e9de0b6dea44679c7a59a215cd36996a0f86962e7d49740cfb8314e9f4a5fa6b421d4e
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